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IJCNN 2019: Budapest, Hungary
- International Joint Conference on Neural Networks, IJCNN 2019 Budapest, Hungary, July 14-19, 2019. IEEE 2019, ISBN 978-1-7281-1985-4
- Haibin Yu, Trong Nghia Hoang, Bryan Kian Hsiang Low, Patrick Jaillet:
Stochastic Variational Inference for Bayesian Sparse Gaussian Process Regression. 1-8 - Laura Maria Palomino Mariño, Juan Isidro González Hidalgo, Roberto S. M. Barros, Germano C. Vasconcelos:
Improving Fast Adaptive Stacking of Ensembles. 1-8 - Eduardo A. Soares, Plamen Angelov, Bruno Costa, Marcos Castro:
Actively Semi-Supervised Deep Rule-based Classifier Applied to Adverse Driving Scenarios. 1-8 - Yuanheng Zhu, Haibo He, Dongbin Zhao, Zhongsheng Hou:
Optimal Pedestrian Evacuation in Building with Consecutive Differential Dynamic Programming. 1-8 - Jun Ni, Yu Liu, Kai Wang, Zhehuan Zhao, Quan Z. Sheng:
Distantly Supervised Relation Extraction through a Trade-off Mechanism. 1-8 - Luca Albergante, Jonathan Bac, Andrei Yu. Zinovyev:
Estimating the effective dimension of large biological datasets using Fisher separability analysis. 1-8 - Philippa Grace McCabe, Sandra Ortega-Martorell, Iván Olier:
Benchmarking multi-task learning in predictive models for drug discovery. 1-7 - Hongwei Ge, Mingde Zhao, Kai Zhang, Liang Sun:
Strategy Selection in Complex Game Environments Based on Transfer Reinforcement Learning. 1-8 - Shreya Ghosh, Abhinav Dhall, Nicu Sebe, Tom Gedeon:
Predicting Group Cohesiveness in Images. 1-8 - Manuel Baltieri, Christopher L. Buckley:
Nonmodular Architectures of Cognitive Systems based on Active Inference. 1-8 - Qichao Zhang, Rui Luo, Dongbin Zhao, Chaomin Luo, Dianwei Qian:
Model-Free Reinforcement Learning based Lateral Control for Lane Keeping. 1-7 - Gerard Jacques van Wyk, Anna Sergeevna Bosman:
Evolutionary Neural Architecture Search for Image Restoration. 1-8 - Na Xiao, Kenli Li, Xu Zhou, Keqin Li:
A Novel Clustering Algorithm based on Directional Propagation of Cluster Labels. 1-8 - Hiroomi Hikawa:
Nested Hardware Architecture for Self-Organizing Map. 1-7 - Ruolin Huang, Hongbin Dong, Guisheng Yin, Qiang Fu:
Ensembling 3D CNN Framework for Video Recognition. 1-7 - Zhicheng Liu, Bao Chen, Bingxue Xiez, Huangping Qiang, Ziqi Zhu:
Feature selection for orthogonal broad learning system based on mutual information. 1-8 - Sara Inés Rizo Rodríguez, Francisco de Assis Tenório de Carvalho:
Clustering interval-valued data with automatic variables weighting. 1-8 - Ryan Van Soelen, John W. Sheppard:
Using Winning Lottery Tickets in Transfer Learning for Convolutional Neural Networks. 1-8 - Lei Liu, Bing Zhang, Shidong Wang, Shuangjie Li, Kaixiang Zhang, Shuqin Wang:
Feature selection based on feature curve of subclass problem. 1-8 - Lian Xu, Mohammed Bennamoun, Farid Boussaïd, Senjian An, Ferdous Sohel:
Coral Classification Using DenseNet and Cross-modality Transfer Learning. 1-8 - Mengyu Zheng, Chuan Zhou, Jia Wu, Li Guo:
Smooth Deep Network Embedding. 1-8 - Qi Zhang, Yan Yang, Chengcai Chen, Liang He, Zhou Yu:
Knowledge Adaptive Neural Network for Natural Language Inference. 1-8 - Yusuke Taguchi, Keisuke Kameyama, Hideitsu Hino:
Active Learning with Interpretable Predictor. 1-8 - Liying Chen, Honglei Zhang, Jun Wu:
Integrating Dual User Network Embedding with Matrix Factorization for Social Recommender Systems∗. 1-8 - Tirthankar Ghosal, Abhishek Shukla, Asif Ekbal, Pushpak Bhattacharyya:
To Comprehend the New: On Measuring the Freshness of a Document. 1-8 - Fábbio A. S. Borges, Ricardo A. L. Rabêlo, Ricardo A. S. Fernandes, M. A. Araújo:
Methodology Based on Adaboost Algorithm Combined with Neural Network for the Location of Voltage Sag Disturbance. 1-7 - Jonatas Wehrmann, Camila Kolling, Rodrigo C. Barros:
Fast and Efficient Text Classification with Class-based Embeddings. 1-8 - Tadashi Onishi, Toshiyuki Motoyoshi, Yuki Suga, Hiroki Mori, Tsuya Ogata:
End-to-end Learning Method for Self-Driving Cars with Trajectory Recovery Using a Path-following Function. 1-8 - Nikesh Lama, Alan Hargreaves, Bob Stevens, T. Martin McGinnity:
Transfer Entropy Based Connectivity Estimation of Spontaneously Firing Hippocampal Cultures on Multi Electrode Arrays. 1-8 - Lu Gao, Yuhua Li, Ruixuan Li, Zhenlong Zhu, Xiwu Gu, Olivier Habimana:
ST-RNet: A Time-aware Point-of-interest Recommendation Method based on Neural Network. 1-8 - Linh Nguyen, Tsukasa Ishigaki:
Collaborative Multi-key Learning with an Anonymization Dataset for a Recommender System. 1-9 - Kazi Shah Nawaz Ripon, Lasker Ershad Ali, Nazmul H. Siddique, Jinwen Ma:
Convolutional Neural Network based Eye Recognition from Distantly Acquired Face Images for Human Identification. 1-8 - Stephen Choi, Tyler Renelle:
Deep learning price momentum in US equities. 1-8 - Nan Pu, T. K. Georgiou, Erwin M. Bakker, Michael S. Lew:
Learning a Domain-Invariant Embedding for Unsupervised Person Re-identification. 1-8 - Dmitry A. Konovalov, Alzayat Saleh, Michael Bradley, Mangalam Sankupellay, Simone Marini, Marcus Sheaves:
Underwater Fish Detection with Weak Multi-Domain Supervision. 1-8 - Peng Zhang, Qiang Wu, Jingsong Xu:
VT-GAN: View Transformation GAN for Gait Recognition Across Views. 1-8 - Dawid Polap, Marcin Wozniak:
Bacteria shape classification by the use of region covariance and Convolutional Neural Network. 1-7 - Zhixin Li, Lan Lin, Canlong Zhang, Huifang Ma, Weizhong Zhao:
Automatic Image Annotation based on Co-Training. 1-8 - Chaohui Yu, Jindong Wang, Yiqiang Chen, Zijing Wu:
Accelerating Deep Unsupervised Domain Adaptation with Transfer Channel Pruning. 1-8 - Sandro Cavallari, Soujanya Poria, Erik Cambria, Vincent W. Zheng, Hongyun Cai:
An Attention-Based Model for Learning Dynamic Interaction Networks. 1-8 - Fayeem Aziz, Stephan K. Chalup:
Testing the Robustness of Manifold Learning on Examples of Thinned-Out Data. 1-8 - Nelly Elsayed, Anthony S. Maida, Magdy A. Bayoumi:
Reduced-Gate Convolutional LSTM Architecture for Next-Frame Video Prediction Using Predictive Coding. 1-9 - Sharan Pai, Anish Bhardwaj:
Eye Gesture Based Communication for People with Motor Disabilities in Developing Nations. 1-8 - Rebecca K. Lee, Alice C. Parker:
An Electronic Neuron with Input-Specific Spiking. 1-8 - Santiago Gonzalez, Joshua Landgraf, Risto Miikkulainen:
Faster Training by Selecting Samples Using Embeddings. 1-7 - Vinicius F. Arruda, Thiago M. Paixão, Rodrigo Ferreira Berriel, Alberto F. De Souza, Claudine Badue, Nicu Sebe, Thiago Oliveira-Santos:
Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night. 1-8 - Subba Reddy Oota, Vijay Rowtula, Manish Gupta, Raju S. Bapi:
StepEncog: A Convolutional LSTM Autoencoder for Near-Perfect fMRI Encoding. 1-8 - João Antônio Chagas Nunes, David Macêdo, Cleber Zanchettin:
Additive Margin SincNet for Speaker Recognition. 1-5 - Eduardo C. de Carvalho, Bruno V. Ferreira, Geraldo P. R. Filho, Pedro Henrique Gomes, Gustavo Medeiros Freitas, Patrícia A. Vargas, Jó Ueyama, Gustavo Pessin:
Towards a Smart Fault Tolerant Indoor Localization System Through Recurrent Neural Networks. 1-7 - Daniele Castellana, Davide Bacciu:
Bayesian Tensor Factorisation for Bottom-up Hidden Tree Markov Models. 1-8 - Ariel Ruiz-Garcia, Vasile Palade, Ibrahim Almakky, Mark Elshaw:
Deep Q-Learning for Illumination and Rotation Invariant Face Detection. 1-8 - Di Wu, Ruiqi Hu, Yu Zheng, Jing Jiang, Nabin Sharma, Michael Blumenstein:
Feature-Dependent Graph Convolutional Autoencoders with Adversarial Training Methods. 1-8 - Yanli Yao, Qiang Yu, Longbiao Wang, Jianwu Dang:
A Spiking Neural Network with Distributed Keypoint Encoding for Robust Sound Recognition. 1-8 - Wang Chen, Hai-Tao Zheng, Yang Wang, Wei Wang, Rui Zhang:
Utilizing Generative Adversarial Networks for Recommendation based on Ratings and Reviews. 1-8 - Fangjun Li, Dongfeng Yuan, Mingqiang Zhang, Cong Liang, Xiaotian Zhou, Haixia Zhang:
Multi-scale Stepwise Training Strategy of Convolutional Neural Networks for Diabetic Retinopathy Severity Assessment. 1-5 - Ryosho Nakane, Gouhei Tanaka, Akira Hirose:
In a Spin-Wave Reservoir for Machine Learning. 1-9 - Tao Jiang, Jiahai Wang, Youwei Song, Yanghui Rao:
A Position-aware Transformation Network for Aspect-level Sentiment Classification. 1-8 - Chenghuan Liu, Du Q. Huynh, Mark Reynolds:
Urban Area Vehicle Re-Identification With Self-Attention Stair Feature Fusion and Temporal Bayesian Re-Ranking. 1-8 - Rafael Garcia, Alexandre Xavier Falcão, Alexandru C. Telea, Bruno Castro da Silva, Jim Tørresen, João Luiz Dihl Comba:
A Methodology for Neural Network Architectural Tuning Using Activation Occurrence Maps. 1-10 - Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo:
Keystroke Analysis for User Identification using Deep Neural Networks. 1-8 - Xintong Yu, Tszhang Guo, Kun Fu, Lei Li, Changshui Zhang, Jianwei Zhang:
Image Captioning with Partially Rewarded Imitation Learning. 1-8 - Sibao Chen, Chao Hu, Bin Luo, Chris H. Q. Ding, Shilei Huang:
Pyramid Attention Dense Network for Image Super-Resolution. 1-8 - Richard McAllister, John Sheppard:
Exploring Transferability in Deep Neural Networks with Functional Data Analysis and Spatial Statistics. 1-10 - Jessica Sharmin Rahman, Tom Gedeon, Sabrina B. Caldwell, Richard Jones, Md. Zakir Hossain, Xuanying Zhu:
Melodious Micro-frissons: Detecting Music Genres From Skin Response. 1-8 - Chris Yakopcic, B. Rasitha Fernando, Tarek M. Taha:
Design Space Evaluation of a Memristor Crossbar Based Multilayer Perceptron for Image Processing. 1-8 - Homin Park, Homanga Bharadhwaj, Brian Y. Lim:
Hierarchical Multi-Task Learning for Healthy Drink Classification. 1-8 - Samuele Tosatto, Carlo D'Eramo, Joni Pajarinen, Marcello Restelli, Jan Peters:
Exploration Driven by an Optimistic Bellman Equation. 1-8 - Lili Cui, Wei Qu, Li Wang, Yanhong Luo, Zhanshan Wang:
Event-Triggered H∞ Tracking Control of Nonlinear Systems via Reinforcement Learning Method. 1-8 - Nurilla Avazov, Jiamou Liu, Bakhadyr Khoussainov:
Periodic Neural Networks for Multivariate Time Series Analysis and Forecasting. 1-8 - Zoltán Ádám Milacski, Barnabás Póczos, András Lörincz:
Group k-Sparse Temporal Convolutional Neural Networks: Unsupervised Pretraining for Video Classification. 1-10 - Daniele Zambon, Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Autoregressive Models for Sequences of Graphs. 1-8 - Yifei Hu, Vincent C. S. Lee, Kenneth Tan:
An Application of Convolutional Neural Networks for the Early Detection of Late-onset Neonatal Sepsis. 1-8 - Nikhil Chawla, Arvind Singh, Monodeep Kar, Saibal Mukhopadhyay:
Application Inference using Machine Learning based Side Channel Analysis. 1-8 - Ryosuke Tanaka, Jinseok Woo, Naoyuki Kubota:
Action Acquisition Method for Constructing Cognitive Development System Through Instructed Learning. 1-6 - Itay Mosafi, Eli (Omid) David, Nathan S. Netanyahu:
Stealing Knowledge from Protected Deep Neural Networks Using Composite Unlabeled Data. 1-8 - Pradyumna Narayana, J. Ross Beveridge, Bruce A. Draper:
Analyzing Multi-Channel Networks for Gesture Recognition. 1-8 - Hui Zhang, Yonglin Tian, Kunfeng Wang, Haibo He, Fei-Yue Wang:
Synthetic-to-Real Domain Adaptation for Object Instance Segmentation. 1-7 - Yi-Ling Liu, Alessio Lomuscio:
An MCTS-based Adversarial Training Method for Image Recognition. 1-8 - Qinyi Zhang, Shishuai Du, Huihua Yang:
An End-to-End Location and Regression Tracker with Attention-based Fused Features. 1-7 - Ivan Donadello, Luciano Serafini:
Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image Interpretation. 1-8 - Liming Wang, Yongliang Yang, Dawei Ding, Yixin Yin, Zhishan Guo, Donald C. Wunsch:
Model-Free Temporal Difference Learning for Non-Zero-Sum Games. 1-6 - Mingwei Yao, Hongyan Quan:
End-to-end Network for Monocular Visual Odometry Based on Image Sequence. 1-6 - Lucas C. Possatti, Ranik Guidolini, Vinicius B. Cardoso, Rodrigo Ferreira Berriel, Thiago M. Paixão, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos:
Traffic Light Recognition Using Deep Learning and Prior Maps for Autonomous Cars. 1-8 - Márton Véges, András Lorincz:
Absolute Human Pose Estimation with Depth Prediction Network. 1-7 - Oleg A. Kuzenkov, Andrew Morozov, Galina Kuzenkova:
Recognition of patterns of optimal diel vertical migration of zooplankton using neural networks. 1-6 - Tong Liu, Shan Liang, Sheng Chen, Chris J. Harris:
A Multiple Local Model Learning for Nonlinear and Time-Varying Microwave Heating Process. 1-8 - Xiaohao He, Huijun Zhang, Ningyun Li, Ling Feng, Feng Zheng:
A Multi-Attentive Pyramidal Model for Visual Sentiment Analysis. 1-8 - Haiyang Wei, Zhixin Li, Canlong Zhang, Tao Zhou, Yu Quan:
Image Captioning Based On Sentence-Level And Word-Level Attention. 1-8 - Minsam Kim, James T. Kwok:
Dynamic Unit Surgery for Deep Neural Network Compression and Acceleration. 1-8 - Chenggong Zhang, Weijuan Zhang, Daren Zha, Pengjie Ren, Nan Mu:
A Multi-granularity Neural Network for Answer Sentence Selection. 1-7 - Jiamei Sun, Alexander Binder:
Generalized PatternAttribution for Neural Networks with Sigmoid Activations. 1-9 - Yan-Jie Zhou, Xiaoliang Xie, Gui-Bin Bian, Zeng-Guang Hou, Yu-Dong Wu, Shi-Qi Liu, Xiao-Hu Zhou, Jiaxing Wang:
Fully Automatic Dual-Guidewire Segmentation for Coronary Bifurcation Lesion. 1-6 - Canlin Zhang, Xiuwen Liu, Daniel Bis:
An Analysis on the Learning Rules of the Skip-Gram Model. 1-8 - Fan Zhu, Min Jiang, Yiming Qiu, Chenglong Sun, Min Wang:
RSLIME: An Efficient Feature Importance Analysis Approach for Industrial Recommendation Systems. 1-6 - Jacek Mandziuk, Jakub Suchan:
Who should bid higher, NS or WE, in a given Bridge dealƒ. 1-8 - Juan L. Castro-Garcia, Juyang Weng:
Emergent Multilingual Language Acquisition Using Developmental Networks. 1-8 - Vladimir Cherkassky, Hsiang-Han Chen, Han-Tai Shiao:
Group Learning for High-Dimensional Sparse Data. 1-10 - Malte Schilling:
Setup of a Recurrent Neural Network as a Body Model for Solving Inverse and Forward Kinematics as well as Dynamics for a Redundant Manipulator. 1-8 - Mingyang Yu, Zhigang Chang, Qin Zhou, Shibao Zheng, Tai-Pang Wu:
Reference-oriented Loss for Person Re-identification. 1-8 - Wakana Nogami, Tsutomu Ikegami, Shin-ichi O'Uchi, Ryousei Takano, Tomohiro Kudoh:
Optimizing Weight Value Quantization for CNN Inference. 1-8 - Guillermo López-García, José M. Jerez, Daniel Urda, Francisco J. Veredas:
MetODeep: A Deep Learning Approach for Prediction of Methionine Oxidation Sites in Proteins. 1-8 - Sathiya Narayan Chakravarthy, Himanshu Singhal, Narasimha Yadav R. P.:
DR-NET: A Stacked Convolutional Classifier Framework for Detection of Diabetic Retinopathy. 1-7 - Ang Li, Jianzhong Qi, Rui Zhang, Ramamohanarao Kotagiri:
Boosted GAN with Semantically Interpretable Information for Image Inpainting. 1-8 - Junjie Chen, Hongxu Hou, Yatu Ji, Jing Gao:
Graph Convolutional Networks with Structural Attention Model for Aspect Based Sentiment Analysis. 1-7 - Balthazar Donon, Benjamin Donnot, Isabelle Guyon, Antoine Marot:
Graph Neural Solver for Power Systems. 1-8 - Jyoti Maggu, Angshul Majumdar:
Supervised Kernel Transform Learning. 1-8 - Qing-Long Zhang, Lu Rao, Yubin Yang:
DGFFM: Generalized Field-aware Factorization Machine based on DenseNet. 1-8 - Shuyi Qu, Kaizhu Huang, Amir Hussain, Yannis Goulermas:
MPSSD: Multi-Path Fusion Single Shot Detector. 1-6 - Tayfun Alpay, Stefan Heinrich, Michael Nelskamp, Stefan Wermter:
Question Answering with Hierarchical Attention Networks. 1-8 - Alexander Makarenko:
Multiple-Valued Artificial Neural Networks. 1-6 - Hojung Lee, Jong-Seok Lee:
Local Critic Training of Deep Neural Networks. 1-8 - Xiaoyu Hu, Yijie Wang, Li Cheng:
Multi-Hierarchy Attribute Relationship Mining Based Outlier Detection for Categorical Data. 1-8 - Licheng Shen, Yan Yang:
SE-GAN: A Swap Ensemble GAN Framework. 1-8 - Ajinkya Gorad, Vivek Saraswat, Udayan Ganguly:
Predicting Performance using Approximate State Space Model for Liquid State Machines. 1-8 - Abhishek Kumar, Asif Ekbal, Daisuke Kawahara, Sadao Kurohashi:
Emotion helps Sentiment: A Multi-task Model for Sentiment and Emotion Analysis. 1-8 - Qianqian Xie, Min Peng, Jimin Huang, Bin Wang, Hua Wang:
Discriminative Regularization with Conditional Generative Adversarial Nets for Semi-Supervised Learning. 1-8 - Burhan Ahmad Mudassar, Saibal Mukhopadhyay:
FocalNet - Foveal Attention for Post-processing DNN Outputs. 1-8 - Álvaro S. Hervella, José Rouco, Jorge Novo, Marcos Ortega:
Self-Supervised Deep Learning for Retinal Vessel Segmentation Using Automatically Generated Labels from Multimodal Data. 1-8 - Zhen Fang, Jie Lu, Feng Liu, Guangquan Zhang:
Unsupervised Domain Adaptation with Sphere Retracting Transformation. 1-8 - Ilianna Kollia, Andreas-Georgios Stafylopatis, Stefanos D. Kollias:
Predicting Parkinson's Disease using Latent Information extracted from Deep Neural Networks. 1-8 - Bowen Dong, Jiawei Zhang, Chenwei Zhang, Yang Yang, Philip S. Yu:
Missing Entity Synergistic Completion across Multiple Isomeric Online Knowledge Libraries. 1-8 - Fabio Martinelli, Francesco Mercaldo, Antonella Santone:
Social Network Polluting Contents Detection through Deep Learning Techniques. 1-10 - Yu-Han Tsai, Yu-Jie Jheng, Rua-Huan Tsaih:
The Cramming, Softening and Integrating Learning Algorithm with Parametric ReLU Activation Function for Binary Input/Output Problems. 1-7 - Yunxiao Zhou, Man Lan, Wenting Wang:
Hierarchical Intention Enhanced Network for Automatic Dialogue Coherence Assessment. 1-8 - Zikai Zhou, Yi Cai, Jingyun Xu, Jiayuan Xie, Qing Li, Haoran Xie:
A Distant Supervised Relation Extraction Model with Two Denoising Strategies. 1-8 - Suhwan Lim, Dongseok Kwon, Sungtae Lee, Hyeongsu Kim, Jong-Ho Bae, Jong-Ho Lee:
Investigation of Neural Networks Using Synapse Arrays Based on Gated Schottky Diodes. 1-8 - Taesik Na, Minah Lee, Burhan Ahmad Mudassar, Priyabrata Saha, Jong Hwan Ko, Saibal Mukhopadhyay:
Mixture of Pre-processing Experts Model for Noise Robust Deep Learning on Resource Constrained Platforms. 1-7 - Hongliang Liang, Yuxing Yang, Lu Sun, Lin Jiang:
JSAC: A Novel Framework to Detect Malicious JavaScript via CNNs over AST and CFG. 1-8 - Abhishek Joshi, Vinay P. Namboodiri:
Unsupervised Synthesis of Anomalies in Videos: Transforming the Normal. 1-8 - Jacek Mandziuk, Adam Zychowski:
Dimensionality Reduction in Multilabel Classification with Neural Networks. 1-8 - Xiaofei Yang, Xutao Li, Yunming Ye, Xiaofeng Zhang, Haijun Zhang, Xiaohui Huang, Bowen Zhang:
Road Detection via Deep Residual Dense U-Net. 1-7 - Tianan Liang, Yuhua Li, Ruixuan Li, Xiwu Gu, Olivier Habimana, Yi Hu:
Personalizing Session-based Recommendation with Dual Attentive Neural Network. 1-8 - Yoshihiko Horio:
Chaotic Neural Network Reservoir. 1-5 - Kwan Yeung Wong, Fu-Lai Chung:
Visualizing Time Series Data with Temporal Matching Based t-SNE. 1-8 - Hong-You Chen, Chi-Jen Lu:
Nested Variance Estimating VAE/GAN for Face Generation. 1-8 - Bendegúz Jenei, Gábor Berend, László Varga:
Proactive Minimization of Convolutional Networks. 1-7 - Le Zhang, Jun Yuan, Zeyi Liu, Yang Pei, Lei Wang:
A Robust Embedding Method for Anomaly Detection on Attributed Networks. 1-8 - Naoki Kodama, Taku Harada, Kazuteru Miyazaki:
Deep Reinforcement Learning with Dual Targeting Algorithm. 1-6 - Ningjie Lu, Jun Zheng, Wen Wu, Yan Yang, Kaiwei Chen, Wenxin Hu:
Chinese Clinical Named Entity Recognition with Word-Level Information Incorporating Dictionaries. 1-8 - Christian Jarvers, Daniel Schmid, Heiko Neumann:
Temporal Learning of Dynamics in Complex Neuron Models using Backpropagation. 1-8 - Luca Brunese, Francesco Mercaldo, Alfonso Reginelli, Antonella Santone:
Neural Networks for Lung Cancer Detection through Radiomic Features. 1-10 - Shuangwei Liu, Yunzhou Zhang, Lin Qi, Sonya Coleman, Dermot Kerr, Shangdong Zhu:
Adversarially Erased Learning for Person Re-identification by Fully Convolutional Networks. 1-8 - Nandish Chattopadhyay, Anupam Chattopadhyay, Sourav Sen Gupta, Michael Kasper:
Curse of Dimensionality in Adversarial Examples. 1-8 - Baohua Liu, Wenfeng Shen, Peng Li, Xin Zhu:
Accelerate Mini-batch Machine Learning Training With Dynamic Batch Size Fitting. 1-8 - Sebastian Bock, Martin Georg Weiß:
A Proof of Local Convergence for the Adam Optimizer. 1-8 - Yuichi Katori, Hakaru Tamukoh, Takashi Morie:
Reservoir Computing Based on Dynamics of Pseudo-Billiard System in Hypercube. 1-8 - Satoshi Moriya, Hideaki Yamamoto, Ayumi Hirano-Iwata, Shigeru Kubota, Shigeo Sato:
Quantitative Analysis of Dynamical Complexity in Cultured Neuronal Network Models for Reservoir Computing Applications. 1-6 - Dongdong Yue, Qi Li, Jinde Cao, Xuegang Tan:
Robust Neuro-adaptive Asymptotic Consensus for a Class of Uncertain Multi-agent Systems: An Edge-based Paradigm. 1-7 - Weihua Wang, Rashel Fam, Feilong Bao, Yves Lepage, Guanglai Gao:
Neural Morphological Segmentation Model for Mongolian. 1-7 - Loek Tonnaer, Jiapeng Li, Vladimir Osin, Mike Holenderski, Vlado Menkovski:
Anomaly Detection for Visual Quality Control of 3D-Printed Products. 1-8 - Mehdi Abadi, Slavisa Jovanovic, Khaled Ben Khalifa, Serge Weber, Mohamed Hédi Bedoui:
A Multi-Application, Scalable and Adaptable Hardware SOM Architecture. 1-8 - Amna Dridi, Mohamed Medhat Gaber, R. Muhammad Atif Azad, Jagdev Bhogal:
DeepHist: Towards a Deep Learning-based Computational History of Trends in the NIPS. 1-8 - Randong Huang, Bo Xu:
Strong-Background Restrained Cross Entropy Loss for Scene Text Detection. 1-7 - Hadi Samer Jomaa, Josif Grabocka, Lars Schmidt-Thieme, Alexander Borek:
A Hybrid Convolutional Approach for Parking Availability Prediction. 1-8 - Wanli Chen, Yue Zhang, Junjun He, Yu Qiao, Yifan Chen, Hongjian Shi, Ed X. Wu, Xiaoying Tang:
Prostate Segmentation using 2D Bridged U-net. 1-7 - Sebastian Kauschke, Lukas Fleckenstein, Johannes Fürnkranz:
Mending is Better than Ending: Adapting Immutable Classifiers to Nonstationary Environments using Ensembles of Patches. 1-8 - Lingjia Huang, Hao Ma, Weichao Yan, Wuda Liu, Haoyang Liu, Zaiyue Yang:
Sports Motion Recognition based on Foot Trajectory State Sequence Mapping. 1-8 - Randong Huang, Bo Xu:
Text Attention and Focal Negative Loss for Scene Text Detection. 1-8 - Rodrigo B. de C. Cavalcanti, Bruno A. Pimentel, Carlos Wilson Dantas de Almeida, Renata M. C. R. de Souza:
A Multivariate Fuzzy Kohonen Clustering Network. 1-7 - Alberto Garcia-Garcia, Brayan S. Zapata-Impata, Sergio Orts-Escolano, Pablo Gil, José García Rodríguez:
TactileGCN: A Graph Convolutional Network for Predicting Grasp Stability with Tactile Sensors. 1-8 - Monidipa Das, Mahardhika Pratama, Andri Ashfahani, Subhrajit Samanta:
FERNN: A Fast and Evolving Recurrent Neural Network Model for Streaming Data Classification. 1-8 - Md Shamsur Rahim, Khoi Anh Nguyen, Rodney Anthony Stewart, Damien Giurco, Michael Blumenstein:
Predicting Household Water Consumption Events: Towards a Personalised Recommender System to Encourage Water-conscious Behaviour. 1-8 - Charith Atapattu, Banafsheh Rekabdar:
Improving the realism of synthetic images through a combination of adversarial and perceptual losses. 1-7 - Bijue Jia, Jiancheng Lv, Yifan Pu, Xue Yang:
Impromptu Accompaniment of Pop Music using Coupled Latent Variable Model with Binary Regularizer. 1-6 - Ao Feng, Zhenghao Chen, Shuang Zhou, Xi Wu:
Embeddings and Convolution, Is That the Best You can Do with Sentiment Features? 1-8 - Huan Meng, Changde Li, Weizhi Lu, Yuhan Dong, Zhipeng Zhao, Bin Wu:
Multi-Satellite Resource Scheduling Based on Deep Neural Network. 1-7 - Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Deep Neural Network Ensembles for Time Series Classification. 1-6 - Yan Hong, Jing Li, Yafu Xiao, Wenfan Zhang, Chengfang Song, Shan Xue:
Correlation Filter Tracking Method via Metric Learning and Adaptive Multi-stage Appearance. 1-8 - Aditya Sriram, Shivam Kalra, Hamid R. Tizhoosh:
Projectron - A Shallow and Interpretable Network for Classifying Medical Images. 1-9 - Zhiqiang Zhan, Zifeng Hou, Qichuan Yang, Jianyu Zhao, Yang Zhang, Changjian Hu:
SSA: A More Humanized Automatic Evaluation Method for Open Dialogue Generation. 1-8 - Catherine D. Schuman, James S. Plank, Grant Bruer, Jeremy Anantharaj:
Non-Traditional Input Encoding Schemes for Spiking Neuromorphic Systems. 1-10 - Jefferson L. P. Lima, David Macêdo, Cleber Zanchettin:
Heartbeat Anomaly Detection using Adversarial Oversampling. 1-7 - Jean Paul Barddal:
Vertical and Horizontal Partitioning in Data Stream Regression Ensembles. 1-8 - Maolin Wang, Chenbin Zhang, Yu Pan, Jing Xu, Zenglin Xu:
Tensor Ring Restricted Boltzmann Machines. 1-8 - Alexander Gee, Hussein A. Abbass:
Transparent Machine Education of Neural Networks for Swarm Shepherding Using Curriculum Design. 1-8 - Cheng Zeng, Yi Zhang, Heng-Yang Lu, Chong-Jun Wang:
GADGET: Using Gated GRU for Biomedical Event Trigger Detection. 1-8 - Michael Brice, Razvan Andonie:
Classification of Stars using Stellar Spectra collected by the Sloan Digital Sky Survey. 1-8 - Ronny Stricker, Markus Eisenbach, Maximilian Sesselmann, Klaus Debes, Horst-Michael Gross:
Improving Visual Road Condition Assessment by Extensive Experiments on the Extended GAPs Dataset. 1-8 - Ali Pezeshki, Mahmood R. Azimi-Sadjadi, Christopher Robbiano:
A Multiple Kernel Machine with Incremental Learning using Sparse Representation. 1-8 - Wei Sun, Xiangying Ran, Xiangyang Luo, Chongjun Wang:
An Efficient Framework by Topic Model for Multi-label Text Classification. 1-7 - Gang Yang, Hongzhe Xu, Tianhao He, Zaishang Cai:
A Character-Enhanced Chinese Word Embedding Model. 1-5 - Chihye Han, Wonjun Yoon, Gihyun Kwon, Daeshik Kim, Seungkyu Nam:
Representation of white- and black-box adversarial examples in deep neural networks and humans: A functional magnetic resonance imaging study. 1-8 - Riheng Yao, Qiudan Li, Lei Wang, Daniel Dajun Zeng:
A Novel Neural Approach for News Reprint Prediction. 1-8 - Danyang Liu, Gongshen Liu:
A Transformer-Based Variational Autoencoder for Sentence Generation. 1-7 - Adamu Ali-Gombe, Eyad Elyan, Chrisina Jayne:
Multiple Fake Classes GAN for Data Augmentation in Face Image Dataset. 1-8 - Carlos A. S. da Silva, Renato A. Krohling:
Semi-Supervised Online Elastic Extreme Learning Machine with Forgetting Parameter to deal with concept drift in data streams. 1-8 - Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter:
Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning. 1-8 - Tao Wei, Changhu Wang, Chang Wen Chen:
Stable Network Morphism. 1-8 - Jacob J. Senecal, John W. Sheppard, Joseph A. Shaw:
Efficient Convolutional Neural Networks for Multi-Spectral Image Classification. 1-8 - Masatoshi Yamaguchi, Yuichi Katori, Daichi Kamimura, Hakaru Tamukoh, Takashi Morie:
A Chaotic Boltzmann Machine Working as a Reservoir and Its Analog VLSI Implementation. 1-7 - Rogério S. Rosa, Lucas F. S. Cambuim, Edna Natividade da Silva Barros:
An ensemble strategy for Haplotype Inference based on the internal variability of algorithms. 1-8 - Juncheng Ding, Wei Jin:
A Prior Setting that Improves LDA in both Document Representation and Topic Extraction. 1-8 - Pratheeba Jeyananthan, Mahesan Niranjan:
Classification and Regression Analysis of Lung Tumors from Multi-level Gene Expression Data. 1-8 - Ivana Strumberger, Eva Tuba, Nebojsa Bacanin, Raka Jovanovic, Milan Tuba:
Convolutional Neural Network Architecture Design by the Tree Growth Algorithm Framework. 1-8 - Alessio Sarullo, Tingting Mu:
On Class Imbalance and Background Filtering in Visual Relationship Detection. 1-8 - Luciano D. S. Pacífico, Teresa Bernarda Ludermir:
Hybrid K-Means and Improved Self-Adaptive Particle Swarm Optimization for Data Clustering. 1-7 - Homanga Bharadhwaj:
Meta-Learning for User Cold-Start Recommendation. 1-8 - Yao Lu, Zhirong Yang, Juho Kannala, Samuel Kaski:
Learning Image Relations with Contrast Association Networks. 1-7 - Mingyang Li, Yi Zhou, Ming Meng, Yuehua Wang, Zhong Zhou:
3D Room Reconstruction from A Single Fisheye Image. 1-8 - Flávio Arthur O. Santos, Karina L. Ponce-Guevara, David Macêdo, Cleber Zanchettin:
Improving Universal Language Model Fine-Tuning using Attention Mechanism. 1-7 - Felix Sattler, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek:
Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication. 1-8 - Lei Zhu, Tianrui Li, Shengdong Du:
TA-STAN: A Deep Spatial-Temporal Attention Learning Framework for Regional Traffic Accident Risk Prediction. 1-8 - Jinpeng Li, Chuang Zhang, Xiaojun Chen, Yanan Cao, Pengcheng Liao, Peng Zhang:
Abstractive Text Summarization with Multi-Head Attention. 1-8 - Stéphane Cholet, Hélène Paugam-Moisy, Sébastien Régis:
Bidirectional Associative Memory for Multimodal Fusion : a Depression Evaluation Case Study. 1-6 - Danyu Lai, Yique Deng, Long Chen:
DeepSqueezeNet-CRF: A Lightweight Deep Model for Semantic Image Segmentation. 1-8 - Changwu Zhang, Hengzhu Liu, Yuchen Tang:
Closer to Optimal Angle-Constrained Path Planning. 1-8 - Mengting Li, Jian Jin, Wen Wu, Yan Yang, Liang He, Jing Yang:
A Crowdsourcing Based Human-in-the-Loop Framework for Denoising UUs in Relation Extraction Tasks. 1-8 - Ailin Li, Zhaowei Shang:
A new Spectral-Spatial Pseudo-3D Dense Network for Hyperspectral Image Classification. 1-7 - Mouna Hadj-Kacem, Nadia Bouassida:
Deep Representation Learning for Code Smells Detection using Variational Auto-Encoder. 1-8 - Shogo Hayashi, Akira Tanimoto, Hisashi Kashima:
Long-Term Prediction of Small Time-Series Data Using Generalized Distillation. 1-8 - Thomas Pellegrini, Léo Cances:
Cosine-similarity penalty to discriminate sound classes in weakly-supervised sound event detection. 1-8 - Jibin Wu, Malu Zhang, Haizhou Li, Yansong Chua:
Competitive STDP-based Feature Representation Learning for Sound Event Classification. 1-8 - Haoran Liu, Aiwen Jiang, Qiaosi Yi, Xiaolin Deng, Jianyi Wan, Mingwen Wang:
Static Crowd Scene Analysis via Deep Network with Multi-branch Dilated Convolution Blocks. 1-7 - Maximilian P. R. Löhr, Daniel Schmid, Heiko Neumann:
Motion Integration and Disambiguation by Spiking V1-MT-MSTl Feedforward-Feedback Interaction. 1-9 - Jianing Zhou, Junhao Wen, Shun Li, Wei Zhou:
From Content Text Encoding Perspective: A Hybrid Deep Matrix Factorization Approach for Recommender System. 1-8 - Vivek Parmar, Jung-Ho Ahn, Manan Suri:
Hyperspectral Image Classification for Remote Sensing Using Low-Power Neuromorphic Hardware. 1-7 - Ziv Katzir, Yuval Elovici:
Detecting Adversarial Perturbations Through Spatial Behavior in Activation Spaces. 1-9 - Junyeong Kim, Minuk Ma, Kyungsu Kim, Sungjin Kim, Chang D. Yoo:
Gaining Extra Supervision via Multi-task learning for Multi-Modal Video Question Answering. 1-8 - Alexander Sutherland, Sven Magg, Stefan Wermter:
Leveraging Recursive Processing for Neural-Symbolic Affect-Target Associations. 1-6 - Yonghong Yu, Qiang Wang, Li Zhang, Can Wang, Sifan Wu, Boyu Qi, Xiaotian Wu:
Integrating Social Circles and Network Representation Learning for Item Recommendation. 1-8 - Fanzhen Liu, Jia Wu, Chuan Zhou, Jian Yang:
Evolutionary Community Detection in Dynamic Social Networks. 1-7 - Xiaoyu Wang, Giona Casiraghi, Yan Zhang, Jun-ichi Imura:
A Gaussian Process-based Self-Organizing Incremental Neural Network. 1-8 - Bonaventure C. Molokwu, Ziad Kobti:
Spatial Event Prediction via Multivariate Time Series Analysis of Neighboring Social Units using Deep Neural Networks. 1-8 - Jihye Hwang, Jieun Lee, Sungheon Park, Nojun Kwak:
Pose estimator and tracker using temporal flow maps for limbs. 1-8 - Chiyu Cai, Linjing Li, Daniel Zeng, Hongyuan Ma:
Exploring Writing Pattern with Pop Culture Ingredients for Social User Modeling. 1-8 - Akane Matsushima, Ryosuke Kanajiri, Yusuke Hattori, Chie Fukada, Natsuki Oka:
Stepwise Acquisition of Dialogue Act Through Human-Robot Interaction. 1-9 - Nikolaos Gianniotis:
Mixed Variational Inference. 1-8 - Hyungmin Lee, Il-Koo Kim:
Generating Natural Video Descriptions using Semantic Gate. 1-7 - Ghada Zamzmi, Rahul Paul, Dmitry B. Goldgof, Rangachar Kasturi, Yu Sun:
Pain Assessment From Facial Expression: Neonatal Convolutional Neural Network (N-CNN). 1-7 - Qun Liu, Supratik Mukhopadhyay, Yimin Zhu, Ravindra Gudishala, Sanaz Saeidi, Alimire Nabijiang:
Improving Route Choice Models by Incorporating Contextual Factors via Knowledge Distillation. 1-8 - Chan Zhang, Tao Li, Song Guo, Ning Li, Yingqi Gao, Kai Wang:
Aggregation Connection Network For Tiny Face Detection. 1-8 - Tulika Saha, Sriparna Saha, Pushpak Bhattacharyya:
Tweet Act Classification : A Deep Learning based Classifier for Recognizing Speech Acts in Twitter. 1-8 - Eunji Jun, Ahmad Wisnu Mulyadi, Heung-Il Suk:
Stochastic Imputation and Uncertainty-Aware Attention to EHR for Mortality Prediction. 1-7 - Hechong Wang, Wei Zhang, Yuesheng Zhu, Zhiqiang Bai:
Data-to-Text Generation with Attention Recurrent Unit. 1-8 - Joel D. Costa Júnior, Elaine R. Faria, Jonathan de Andrade Silva, João Gama, Ricardo Cerri:
Pruned Sets for Multi-Label Stream Classification without True Labels. 1-8 - Zezhi Sui, Zhiqiang Pu, Jianqiang Yi, Tianyi Xiong:
Formation Control with Collision Avoidance through Deep Reinforcement Learning. 1-8 - Qi Xia, Chung-Hsing Yeh, Xiang-Yu Chen:
A Deep Bidirectional Highway Long Short-Term Memory Network Approach to Chinese Semantic Role Labeling. 1-6 - Ahmed Marzouk, Pablo V. A. Barros, Manfred Eppe, Stefan Wermter:
The Conditional Boundary Equilibrium Generative Adversarial Network and its Application to Facial Attributes. 1-7 - Simon Wiedemann, Arturo Marbán, Klaus-Robert Müller, Wojciech Samek:
Entropy-Constrained Training of Deep Neural Networks. 1-8 - Nicolas M. Müller, Karla Markert:
Identifying Mislabeled Instances in Classification Datasets. 1-8 - Martin Llofriu, Pablo Scleidorovich, Gonzalo Tejera, Marco Contreras, Tatiana Pelc, Jean-Marc Fellous, Alfredo Weitzenfeld:
A Computational Model for a Multi-Goal Spatial Navigation Task inspired by Rodent Studies. 1-8 - Su Zheng, Jialin Chen, Lingli Wang:
Targeted Black-Box Adversarial Attack Method for Image Classification Models. 1-8 - Yuchi Liu, Yue Yao, Zhengjie Wang, Josephine Plested, Tom Gedeon:
Generalized Alignment for Multimodal Physiological Signal Learning. 1-10 - Takenori Obo, Daiki Takaguchi, Daisuke Katagami, Junji Sone, Takahito Tomoto, Yuta Ogai, Yoshihisa Udagawa:
Heartbeat Detection Based on Pulse Neuron Model for Heart Rate Variability Analysis. 1-6 - Kai Gao, Hui Shen, Yadong Liu, Ling-Li Zeng, Dewen Hu:
Dense-CAM: Visualize the Gender of Brains with MRI Images. 1-7 - Jingjing Li, Mengmeng Jing, Yue Xie, Ke Lu, Zi Huang:
Agile Domain Adaptation. 1-8 - Dongye Zhao, Bailu Si, Fengzhen Tang:
Unsupervised Feature Learning for Visual Place Recognition in Changing Environments. 1-8 - Yona Falinie A. Gaus, Neelanjan Bhowmik, Samet Akçay, Paolo M. Guillén-Garcia, Jack W. Barker, Toby P. Breckon:
Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery. 1-8 - Ming Li, Rui Xi, Beier Chen, Mengshu Hou, Daibo Liu, Lei Guo:
Generate Desired Images from Trained Generative Adversarial Networks. 1-8 - Kaushalya Kumarasinghe, Denise Taylor, Nikola K. Kasabov:
eSPANNet: Evolving Spike Pattern Association Neural Network for Spike-based Supervised Incremental Learning and Its Application for Single-trial Brain Computer Interfaces. 1-8 - Shaeke Salman, Xiuwen Liu:
Sparsity as the Implicit Gating Mechanism for Residual Blocks. 1-6 - Xueping Peng, Guodong Long, Shirui Pan, Jing Jiang, Zhendong Niu:
Attentive Dual Embedding for Understanding Medical Concepts in Electronic Health Records. 1-8 - Zhuoyi Wang, Hemeng Tao, Zelun Kong, Swarup Chandra, Latifur Khan:
Metric Learning based Framework for Streaming Classification with Concept Evolution. 1-8 - Ibrahim Almakky, Vasile Palade, Ariel Ruiz-Garcia:
Deep Convolutional Neural Networks for Text Localisation in Figures From Biomedical Literature. 1-5 - Neeru Dubey, Shreya Ghosh, Abhinav Dhall:
Unsupervised Learning of Eye Gaze Representation from the Web. 1-7 - Kelly Lais Wiggers, Alceu S. Britto Jr., Laurent Heutte, Alessandro L. Koerich, Luiz S. Oliveira:
Image Retrieval and Pattern Spotting using Siamese Neural Network. 1-8 - Yaguang Song, Danli Wang, Kang Yue, Nan Zheng, Zuo-Jun Max Shen:
EEG-Based Motor Imagery Classification with Deep Multi-Task Learning. 1-8 - Óscar Mata-Carballeira, Inés del Campo, M. Victoria Martínez, Javier Echanobe:
A Hardware/Software Extreme Learning Machine Solution for Improved Ride Comfort in Automobiles. 1-8 - Ranik Guidolini, Raphael V. Carneiro, Claudine Badue, Thiago Oliveira-Santos, Alberto F. De Souza:
Removing Movable Objects from Grid Maps of Self-Driving Cars Using Deep Neural Networks. 1-8 - Dagoberto Porras, Alexander Sepúlveda-Sepúlveda, Tamás Gábor Csapó:
DNN-based Acoustic-to-Articulatory Inversion using Ultrasound Tongue Imaging. 1-8 - Sai Prasanna Teja Reddy, Surya Teja Karri, Shiv Ram Dubey, Snehasis Mukherjee:
Spontaneous Facial Micro-Expression Recognition using 3D Spatiotemporal Convolutional Neural Networks. 1-8 - Junwei Zhang, Min Gao, Junliang Yu, Xinyi Wang, Yuqi Song, Qingyu Xiong:
Nonlinear Transformation for Multiple Auxiliary Information in Music Recommendation. 1-8 - Shuang Qin, Wenge Rong, Libin Shi, Jianxin Yang, Haodong Yang, Zhang Xiong:
Syntax Tree Aware Adversarial Question Rewriting for Answer Selection. 1-8 - Ulf Johansson, Patrick Gabrielsson:
Are Traditional Neural Networks Well-Calibrated? 1-8 - Yunlai Xu, Xiangying Ran, Wei Sun, Xiangyang Luo, Chongjun Wang:
Gated Neural Network with Regularized Loss for Multi-label Text Classification. 1-8 - Wei Liu, Lei Zhang, Longxuan Ma, Pengfei Wang, Feng Zhang:
Hierarchical Multi-dimensional Attention Model for Answer Selection. 1-8 - Hang Yu, Jie Lu, Jialu Xu, Guangquan Zhang:
A Hybrid Incremental Regression Neural Network for Uncertain Data Streams. 1-8 - Leonardo Gabrielli, Livio Ambrosini, Fabio Vesperini, Valeria Bruschi, Stefano Squartini, Luca Cattani:
Processing Acoustic Data with Siamese Neural Networks for Enhanced Road Roughness Classification. 1-7 - Xiaodong Qi, Xiabi Liu, Said Boumaraf:
A New Feature Selection Method based on Monarch Butterfly Optimization and Fisher Criterion. 1-6 - Junjie Yin, Yun Li, Zheng Liu, Jian Xu, Bin Xia, Qianmu Li:
ADPR: An Attention-based Deep Learning Point-of-Interest Recommendation Framework. 1-8 - Sahar Arshi, Li Zhang, Rebecca Strachan:
Prediction Using LSTM Networks. 1-8 - Aren Sinozaki, Kota Shiozawa, Kazuki Kajita, Takaya Miyano, Yoshihiko Horio:
Short-term Prediction of Hyperchaotic Flow Using Echo State Network. 1-5 - Yikuan Yu, Fei Li, Yu Zheng, Min Han, Xinyi Le:
Clustering-enhanced PointCNN for Point Cloud Classification Learning. 1-6 - Cheng Gong, Tao Li, Ye Lu, Cong Hao, Xiaofan Zhang, Deming Chen, Yao Chen:
µL2Q: An Ultra-Low Loss Quantization Method for DNN Compression. 1-8 - Daniel C. Ferreira, Félix Iglesias Vázquez, Tanja Zseby:
Extreme Dimensionality Reduction for Network Attack Visualization with Autoencoders. 1-10 - Shin Kamada, Takumi Ichimura:
An Object Detection by using Adaptive Structural Learning of Deep Belief Network. 1-8 - Ruiping Yin, Kan Li, Jie Lu, Guangquan Zhang:
RsyGAN: Generative Adversarial Network for Recommender Systems. 1-7 - Amy Peerlinck, John Sheppard, Jacob J. Senecal:
AdaBoost with Neural Networks for Yield and Protein Prediction in Precision Agriculture. 1-8 - Pawel Wawrzynski:
Efficient on-line learning with diagonal approximation of loss function Hessian. 1-8 - Chathura Wanigasekara, Akshya Swain, Sing Kiong Nguang, B. Gangadhara Prusty:
Neural Network Based Inverse System Identification from Small Data Sets. 1-6 - Sadiq H. Abdulhussain, Abd. Rahman Ramli, Basheera M. Mahmmod, M. Iqbal Saripan, S. A. R. Al-Haddad, Thar Baker, Wameedh Nazar Flayyih, Wissam A. Jassim:
A Fast Feature Extraction Algorithm for Image and Video Processing. 1-8 - Ryotaro Kamimura:
Mutual Information Generation for Improving Generalization and Interpretation in Neural Networks. 1-8 - Kenneth Lai, Xinyuan Tu, Svetlana N. Yanushkevich:
Dog Identification using Soft Biometrics and Neural Networks. 1-8 - Emmett Redd, Arthur Steven Younger, Tayo Obafemi-Ajayi:
Stochastic Resonance Enables BPP/log* Complexity and Universal Approximation in Analog Recurrent Neural Networks. 1-8 - Weipeng Cao, Muhammed J. A. Patwary, Pengfei Yang, Xizhao Wang, Zhong Ming:
An Initial Study on the Relationship Between Meta Features of Dataset and the Initialization of NNRW. 1-8 - Liwei Wu, Youhua Wu, Fei Li, Tao Zheng:
An Improved Recurrent Neural Network Language Model for Programming Language. 1-7 - Uriel Martinez-Hernandez, Victor M. Cedeno-Campos, Adrian Rubio-Solis:
Active visual object exploration and recognition with an unmanned aerial vehicle. 1-7 - Yao Tan, Qinghua Hu, Zhibin Du:
Batch Mode Active Learning with Nonlocal Self-Similarity Prior for Semantic Segmentation. 1-7 - Pasquale Avino, Francesco Mercaldo, Vittoria Nardone, Ivan Notardonato, Antonella Santone:
Machine Learning to Identify Gender via Hair Elements. 1-7 - Pradyumna Narayana, J. Ross Beveridge, Bruce A. Draper:
Continuous Gesture Recognition through Selective Temporal Fusion. 1-8 - Asim Iqbal, Phil Dong, Christopher M. Kim, Heeun Jang:
Decoding Neural Responses in Mouse Visual Cortex through a Deep Neural Network. 1-7 - Zhaokai Wang, Limin Xiao, Rongbin Xu, Shubin Su, Shupan Li, Yao Song:
Deeper Monocular Depth Prediction via Long and Short Skip Connection. 1-7 - Fausto Fasano, Fabio Martinelli, Francesco Mercaldo, Antonella Santone:
Cascade Learning for Mobile Malware Families Detection through Quality and Android Metrics. 1-10 - Xishuai Peng, Ava Zhao, Song Wang, Yi Lu Murphey, Yuanxiang Li:
Attention-Driven Driving Maneuver Detection System. 1-8 - Matej Kocián, Martin Pilát:
Using Local Convolutional Units to Defend Against Adversarial Examples. 1-8 - Takanori Akiyama, Gouhei Tanaka:
Analysis on Characteristics of Multi-Step Learning Echo State Networks for Nonlinear Time Series Prediction. 1-8 - Yo Horikawa, Ken'ichi Fujimoto:
Heteroclinic Orbits and Chaos in A Ring of Three Unidirectionally Coupled Nonmonotonic Neurons. 1-8 - Meijuan Ye, Shizhe Zhou, Hongbo Fu:
DeepShapeSketch : Generating hand drawing sketches from 3D objects. 1-8 - Yanni Ren, Weite Li, Jinglu Hu:
A Semi-supervised Classification Using Gated Linear Model. 1-7 - Wenbo Hou, Wenhai Wang, Ruo-Ze Liu, Tong Lu:
Cropout: A General Mechanism for Reducing Overfitting on Convolutional Neural Networks. 1-8 - Gábor Gosztolya, Ádám Pintér, László Tóth, Tamás Grósz, Alexandra Markó, Tamás Gábor Csapó:
Autoencoder-Based Articulatory-to-Acoustic Mapping for Ultrasound Silent Speech Interfaces. 1-8 - Sudarsini Tekkam Gnanasekar, Svetlana N. Yanushkevich:
Face Attribute Prediction in Live Video using Fusion of Features and Deep Neural Networks. 1-8 - Peng Yan, Linjing Li, Daniel Zeng:
A Shortcut-Stacked Document Encoder for Extractive Text Summarization. 1-8 - Flávia Dias Casagrande, Jim Tørresen, Evi Zouganeli:
Comparison of Probabilistic Models and Neural Networks on Prediction of Home Sensor Events. 1-8 - Leandro Aparecido Passos, Marcos Cleison Silva Santana, Thierry Pinheiro Moreira, João Paulo Papa:
κ-Entropy Based Restricted Boltzmann Machines. 1-8 - Ben Fielding, Tom Lawrence, Li Zhang:
Evolving and Ensembling Deep CNN Architectures for Image Classification. 1-8 - Guang Shi, Chao Li, Bo Zhao, Qinglai Wei, Derong Liu:
Distributed Adaptive Dynamic Programming Algorithm for Office Energy Control with Multiple Batteries. 1-6 - Zhunan Li, Xinwen Hou:
Mixing Update Q-value for Deep Reinforcement Learning. 1-6 - Jacek Mandziuk, Adam Zychowski:
DeepIQ: A Human-Inspired AI System for Solving IQ Test Problems. 1-8 - Yuqian Zhou, Kuangxiao Gu, Thomas S. Huang:
Unsupervised Representation Adversarial Learning Network: from Reconstruction to Generation. 1-8 - Sebastian Kauschke, David Hermann Lehmann, Johannes Fürnkranz:
Patching Deep Neural Networks for Nonstationary Environments. 1-8 - Junjie Wang, Qichao Zhang, Dongbin Zhao, Yaran Chen:
Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints. 1-6 - Degang Sun, Zhengrong Wu, Yan Wang, Qiujian Lv, Bo Hu:
Risk Prediction for Imbalanced Data in Cyber Security : A Siamese Network-based Deep Learning Classification Framework. 1-8 - Farzan Majeed Noori, Enrique Garcia-Ceja, Md. Zia Uddin, Michael Riegler, Jim Tørresen:
Fusion of Multiple Representations Extracted from a Single Sensor's Data for Activity Recognition Using CNNs. 1-6 - Hajime Tasaki, Reiner Lenz, Jinhui Chao:
Dimension Estimation and Topological Manifold Learning. 1-7 - Álvaro S. Hervella, José Rouco, Jorge Novo, Marcos Ortega:
Deep Multimodal Reconstruction of Retinal Images Using Paired or Unpaired Data. 1-8 - Ranjith Dinakaran, Philip Easom, Li Zhang, Ahmed Bouridane, Richard Jiang, Eran A. Edirisinghe:
Distant Pedestrian Detection in the Wild using Single Shot Detector with Deep Convolutional Generative Adversarial Networks. 1-7 - Xiaobao Wu, Chunping Li:
Short Text Topic Modeling with Flexible Word Patterns. 1-7 - Dongcheng Zhao, Yi Zeng:
Dynamic Fusion of Convolutional Features based on Spatial and Temporal Attention for Visual Tracking. 1-8 - Steve Kommrusch, Louis-Noël Pouchet:
Synthetic Lung Nodule 3D Image Generation Using Autoencoders. 1-9 - Priyadarshini Panda, Efstathia Soufleri, Kaushik Roy:
Evaluating the Stability of Recurrent Neural Models during Training with Eigenvalue Spectra Analysis. 1-8 - Zachary J. Harper, Charles M. Welzig:
Exploring Spatiotemporal Functional Connectivity Dynamics of the Human Brain using Convolutional and Recursive Neural Networks. 1-6 - Bing Liu, Guilin Qi, Lu Pan, Shangfu Duan, Tianxing Wu:
Incorporating Human Knowledge in Neural Relation Extraction with Reinforcement Learning. 1-8 - Pierre Falez, Pierre Tirilly, Ioan Marius Bilasco, Philippe Devienne, Pierre Boulet:
Multi-layered Spiking Neural Network with Target Timestamp Threshold Adaptation and STDP. 1-8 - Honggang Wang, Weizhong Yan, Shaopeng Liu:
Physical Activity Recognition Using Multi-Sensor Fusion and Extreme Learning Machines. 1-7 - Donghui Liu, Wei Fang, Ziwei Wang:
Spatial and Channel Restraint for Complementary Feature Learning. 1-8 - Ziping Gao, Bo Peng, Tianrui Li, Cong Gou:
Generative Adversarial Networks for Road Crack Image Segmentation. 1-8 - Md. Rashedul Haq, Zhen Ni:
A Composite Extended Nearest Neighbor Model for Day-Ahead Load Forecasting. 1-8 - Hao Tang, Dan Xu, Nicu Sebe, Yan Yan:
Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation. 1-8 - George-Sebastian Pirtoaca, Traian Rebedea, Stefan Ruseti:
Improving Retrieval-Based Question Answering with Deep Inference Models. 1-8 - Abhishek Pal, Gautham Krishnan, Manav Rajiv Moorthy, Narasimha Yadav, Adithya R. Ganesh, T. Sree Sharmila:
DICENet: Fine-Grained Recognition via Dilated Iterative Contextual Encoding. 1-8 - Asad Abbas, Stephan K. Chalup:
From Face Recognition to Facial Pareidolia: Analysing Hidden Neuron Activations in CNNs for Cross-Depiction Recognition. 1-8 - Joaquim de Moura, Jorge Novo, Marcos Ortega:
Deep Feature Analysis in a Transfer Learning-based Approach for the Automatic Identification of Diabetic Macular Edema. 1-8 - Jialu Xu, Feiyue Ye, Hang Yu, Bo Wang:
Query recommendation based on improved query flow graph*. 1-8 - Qian Li, Qiang Wu, Chengzhang Zhu, Jian Zhang, Wentao Zhao:
An Inferable Representation Learning for Fraud Review Detection with Cold-start Problem. 1-8 - Chuxiong Sun, Rui Wang, Ruiying Li, Jiao Wu, Xiaohui Hu:
Efficient and Scalable Exploration via Estimation-Error. 1-8 - Wenxia Pan, Kun Zhao, Tianao Gao, Congchuang Gao:
Neural Networks Applied in the Prediction of Top Oil Temperature of Transformer. 1-7 - Luís Miguel Matos, Paulo Cortez, Rui Mendes, Antoine Moreau:
Using Deep Learning for Mobile Marketing User Conversion Prediction. 1-8 - Hongming Zhang, Fangjuan Cheng, Bo Xu, Feng Chen, Jiachen Liu, Wei Wu:
RevCuT Tree Search Method in Complex Single-player Game with Continuous Search Space. 1-8 - Shijun Wang, Baocheng Zhu, Lintao Ma, Yuan Qi:
A Riemannian Primal-dual Algorithm Based on Proximal Operator and its Application in Metric Learning. 1-8 - Wissam Siblini, Frank Meyer, Pascale Kuntz:
A Count-sketch to Reduce Memory Consumption when Training a Model with Gradient Descent. 1-8 - Pedro H. M. Braga, Hansenclever F. Bassani:
A Semi-Supervised Self-Organizing Map with Adaptive Local Thresholds. 1-8 - Bowen Dong, Charu C. Aggarwal, Philip S. Yu:
Transfer Learning for Network Classification. 1-8 - Kyunghee Lee, Hongchi Shi:
A Modular Approach to Construction of Spiking Neural Networks. 1-8 - Qi Yang, Lin Shang:
Multi-task Learning with Bidirectional Language Models for Text Classification. 1-8 - Pengrui Wang, Yi Tian, Wujun Che, Bo Xu:
A Unified Multi-output Semi-supervised Network for 3D Face Reconstruction. 1-8 - Federico Corradi, Sandeep Pande, Jan Stuijt, Ning Qiao, Siebren Schaafsma, Giacomo Indiveri, Francky Catthoor:
ECG-based Heartbeat Classification in Neuromorphic Hardware. 1-8 - Evgeny M. Mirkes, Jeza Allohibi, Alexander N. Gorban:
Do Fractional Norms and Quasinorms Help to Overcome the Curse of Dimensionality? 1-8 - Bin Mu, Cheng Peng, Shijin Yuan, Lei Chen:
ENSO Forecasting over Multiple Time Horizons Using ConvLSTM Network and Rolling Mechanism. 1-8 - Fateme Fahiman, Sarah M. Erfani, Christopher Leckie:
Robust and Accurate Short-Term Load Forecasting: A Cluster Oriented Ensemble Learning Approach. 1-8 - Jonathan Mojoo, Motaz Sabri, Takio Kurita:
Video Super Resolution with Estimation of Motion Information by Using Higher Resolution Images Obtained by Single Image Super Resolution. 1-8 - Domenico Buongiorno, Cristian Camardella, Giacomo Donato Cascarano, Luis Pelaez Murciego, Michele Barsotti, Irio De Feudis, Antonio Frisoli, Vitoantonio Bevilacqua:
An undercomplete autoencoder to extract muscle synergies for motor intention detection. 1-8 - Shyamala Sivakumar, Seshadri Sivakumar:
Modulation of Activation Function in Triangular Recurrent Neural Networks for Time Series Modeling. 1-8 - Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
Efficient Learning Rate Adaptation for Convolutional Neural Network Training. 1-8 - Allan Rodrigo Leite, Fabrício Enembreck:
Evaluating Incomplete DCOP Algorithms On Large-Scale Problems. 1-8 - Fang Li, Jinrong Han, Ziyuan Zhu, Dan Meng:
Spatial-Temporal Attention Network for Malware Detection Using Micro-architecture Features. 1-8 - Jian Xu, Xinyue Wang, Zixin Cai, Liu Yang, Liping Jing:
Informative Instance Detection for Active Learning on Imbalanced Data. 1-7 - Beici Liang, György Fazekas, Mark B. Sandler:
Transfer Learning for Piano Sustain-Pedal Detection. 1-6 - Yang Liu, Bo Wu, Bo Lang:
Deep Salient Object Detection with Fuzzy Superpixel Extraction and Controlled Filter Convolution. 1-8 - Hao Shang, Rui Li, Xu He, Jilong Wang, Xinhui Peng:
Real-time Accurate Object Counting for Smart Farms. 1-8 - Yueyao Yu, Pengfei Yu, Wenye Li:
AuxBlocks: Defense Adversarial Examples via Auxiliary Blocks. 1-8 - Bin Mu, Jing Li, Shijin Yuan, Xiaodan Luo, Guokun Dai:
NAO Index Prediction using LSTM and ConvLSTM Networks Coupled with Discrete Wavelet Transform. 1-8 - Nuno Dionísio, Fernando Alves, Pedro Miguel Ferreira, Alysson Bessani:
Cyberthreat Detection from Twitter using Deep Neural Networks. 1-8 - Mubarak G. Abdu-Aguye, Walid Gomaa:
Competitive Feature Extraction for Activity Recognition based on Wavelet Transforms and Adaptive Pooling. 1-8 - Yasutoshi Ida, Yasuhiro Fujiwara:
Network Implosion: Effective Model Compression for ResNets via Static Layer Pruning and Retraining. 1-8 - Mario Beraha, Alberto Maria Metelli, Matteo Papini, Andrea Tirinzoni, Marcello Restelli:
Feature Selection via Mutual Information: New Theoretical Insights. 1-9 - Hui Deng, Xiang Xie, Xuejun Zhang:
Enhanced Matching Network for Multi-turn Response Selection in Retrieval-Based Chatbots. 1-7 - Nataliya Le Vine, Matthew Zeigenfuse, Mark Rowan:
Extracting Tables from Documents using Conditional Generative Adversarial Networks and Genetic Algorithms. 1-8 - Kenzo Miranda Sakiyama, Andre Quintiliano Bezerra Silva, Edson Takashi Matsubara:
Twitter breaking news detector in the 2018 Brazilian presidential election using word embeddings and convolutional neural networks. 1-8 - Rui Xu, Weizhong Yan:
Continuous Modeling of Power Plant Performance with Regularized Extreme Learning Machine. 1-8 - Chao Chen, Xiao Lin, Yuan Huang, Gabriel Terejanu:
Approximate Bayesian Neural Network Trained with Ensemble Kalman Filter. 1-8 - Xuewen Chen, Jinlong Li, Hai-Han Wang:
Keyphrase Guided Beam Search for Neural Abstractive Text Summarization. 1-9 - Lin Zhao, Longtao Huang, Liangjun Zang, Jizhong Han, Songlin Hu:
LMLSTM: Extract Event-Oriented Keyphrase From News Stream. 1-7 - Ivan Yu. Tyukin, Alexander N. Gorban, Bogdan Grechuk, Stephen Green:
Kernel Stochastic Separation Theorems and Separability Characterizations of Kernel Classifiers. 1-6 - Shengping Zhou, Junjie Lin, Lianzhi Tan, Xin Liu:
Condensed Convolution Neural Network by Attention over Self-attention for Stance Detection in Twitter. 1-8 - Tianhang Long, Junbin Gao, Mingyan Yang, Yongli Hu, Baocai Yin:
Locality Preserving Projection via Deep Neural Network. 1-8 - Zain Nasrullah, Yue Zhao:
Music Artist Classification with Convolutional Recurrent Neural Networks. 1-8 - Jiaxin Hu, Zhixu Li, Renshou Wu, Hongling Wang, An Liu, Jiajie Xu, Pengpeng Zhao, Lei Zhao:
Distant Supervised Why-Question Generation with Passage Self-Matching Attention. 1-8 - Leida Guo, Shaoyi Du, Yuting Chi, Wenting Cui, Panpan Song, Jihua Zhu, Songmei Geng, Meifeng Xu:
A Multi-model Ensemble Method Using CNN and Maximum Correntropy Criterion for Basal Cell Carcinoma and Seborrheic Keratoses Classification. 1-6 - Yang Zhou, Kui Xiao:
Extracting Prerequisite Relations Among Concepts in Wikipedia. 1-8 - Diogo Pernes, Jaime S. Cardoso:
SpaMHMM: Sparse Mixture of Hidden Markov Models for Graph Connected Entities. 1-10 - Krzysztof Fonal, Rafal Zdunek:
Distributed and Randomized Tensor Train Decomposition for Feature Extraction. 1-8 - Vanika Singhal, Angshul Majumdar, Mayank Vatsa, Richa Singh:
Siamese Deep Dictionary Learning. 1-6 - Plácido L. Vidal, Joaquim de Moura, Jorge Novo, Marcos Ortega:
Cystoid Fluid Color Map Generation in Optical Coherence Tomography Images Using a Densely Connected Convolutional Neural Network. 1-8 - Raisa Dzhamtyrova, Yuri Kalnishkan:
Competitive Online Generalised Linear Regression with Multidimensional Outputs. 1-8 - Mariane M. Santana, Pyramo P. da Costa, Maury M. Gouvea Jr., Fabricio P. Lucas:
Reconfiguration of Electric Power Distribution Networks using Unineuron and Nullneuron. 1-8 - Alex Frid, Larry M. Manevitz, Ohad Mosafi:
Multi-Class Classification in Parkinson's Disease by Leveraging Internal Topological Structure of the Data and of the Label Space. 1-9 - Hongwei Ge, Weiting Sun, Mingde Zhao, Kai Zhang, Liang Sun, Chao Yu:
Multi-Grained Cascade AdaBoost Extreme Learning Machine for Feature Representation. 1-8 - Shengdong Du, Tianrui Li, Yan Yang, Xun Gong, Shi-Jinn Horng:
An LSTM based Encoder-Decoder Model for MultiStep Traffic Flow Prediction. 1-8 - Rupam Ojha, C. Chandra Sekhar:
Multi-label Classification Models for Detection of Phonetic Features in building Acoustic Models. 1-8 - Daniela Szwarcman, Daniel Civitarese, Marley M. B. R. Vellasco:
Quantum-Inspired Neural Architecture Search. 1-8 - Gabriel De Angelo, André G. C. Pacheco, Renato A. Krohling:
Skin lesion segmentation using deep learning for images acquired from smartphones. 1-8 - Qianlong Wang, Jiangtao Ren:
Abstractive Summarization with Keyword and Generated Word Attention. 1-8 - Michael Connolly Brady:
A Neural Field Model for Supervised and Unsupervised Learning of the MNIST Dataset. 1-8 - Muqing Deng, Haonan Yang, Jiuwen Cao, Xiaoreng Feng:
View-Invariant Gait Recognition Based on Deterministic Learning and Knowledge Fusion. 1-8 - Zijiang Yang, Reda Al-Bahrani, Andrew C. E. Reid, Stefanos Papanikolaou, Surya R. Kalidindi, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
Deep learning based domain knowledge integration for small datasets: Illustrative applications in materials informatics. 1-8 - Julia El Zini, Yara Rizk, Mariette Awad, Jumana Antoun:
Towards A Deep Learning Question-Answering Specialized Chatbot for Objective Structured Clinical Examinations. 1-9 - Xuange Cui, Mingxue Liao, Pin Lv, Changwen Zheng:
Sequencing the musical sections with deep learning. 1-7 - Ratnesh Kumar, Edwin Weill, Farzin Aghdasi, Parthasarathy Sriram:
Vehicle Re-identification: an Efficient Baseline Using Triplet Embedding. 1-9 - Di Wu, Junjun Chen, Nabin Sharma, Shirui Pan, Guodong Long, Michael Blumenstein:
Adversarial Action Data Augmentation for Similar Gesture Action Recognition. 1-8 - Johannes C. Thiele, Olivier Bichler, Antoine Dupret, Sergio M. G. Solinas, Giacomo Indiveri:
A Spiking Network for Inference of Relations Trained with Neuromorphic Backpropagation. 1-8 - Jérémie Cabessa, Alessandro E. P. Villa:
A Memory-Based STDP Rule for Stable Attractor Dynamics in Boolean Recurrent Neural Networks. 1-8 - Ádám Fodor, Áron Fóthi, László Kopácsi, Ellák Somfai, András Lorincz:
Skeletonization Combined with Deep Neural Networks for Superpixel Temporal Propagation. 1-7 - Kai Zhang, Lin Sun, Fule Ji:
A TOI based CNN with Location Regression for Insurance Contract Analysis. 1-8 - Minglei Yuan, Xiaozhong Ji, Tong Lu, Pengfei Chen, Hualu Zhang:
A Novel Two-Factor Attention Encoder-Decoder Network through Combining Temporal and Prior Knowledge for Weather Forecasting. 1-8 - Jinlei Xu, Ting Xu, Xin Tian, Chunping Liu, Yi Ji:
Context Gating with Short Temporal Information for Video Captioning. 1-7 - Xu Zhang, Zuyu Zhang, Hae-Young Bae:
Compact Cluster-based Balanced Distribution Adaptation for Transfer Learning. 1-8 - Shaoqing Tan, Ruoyu Yang:
Learning Similarity: Feature-Aligning Network for Few-shot Action Recognition. 1-7 - Yannick Wend Kuni Zoetgnandé, Jean-Louis Dillenseger, Javad Alirezaie:
Edge focused super-resolution of thermal images. 1-8 - King Ma, Henry Leung:
A Novel LSTM Approach for Asynchronous Multivariate Time Series Prediction. 1-7 - Kang He, Min Zhu:
Text Classification Using Gated and Transposed Attention Networks. 1-7 - Di Sheng, György Fazekas:
A Feature Learning Siamese Model for Intelligent Control of the Dynamic Range Compressor. 1-8 - Yujing Zhou, Weile Liu, Yang Pei, Lei Wang, Daren Zha, Tianshu Fu:
Dynamic Network Embedding by Semantic Evolution. 1-8 - Luis Henrique S. Brito, Ana L. C. V. Lara, Luis E. Zárate, Cristiane Neri Nobre:
Improving the quality of enzyme prediction by using feature selection and dimensionality reduction. 1-8 - Babajide O. Ayinde, Tamer Inanc, Jacek M. Zurada:
On Correlation of Features Extracted by Deep Neural Networks. 1-8 - Tongtong Su, Huazhi Sun, Chunmei Ma, Lifen Jiang, Tongtong Xu:
HDL: Hierarchical Deep Learning Model based Human Activity Recognition using Smartphone Sensors. 1-8 - Mengjiao Bao, Jianxin Li, Jian Zhang, Hao Peng, Xudong Liu:
Learning Semantic Coherence for Machine Generated Spam Text Detection. 1-8 - Gabriel S. Simões, Jonatas Wehrmann, Rodrigo C. Barros:
Attention-based Adversarial Training for Seamless Nudity Censorship. 1-8 - Sikai Xing, Shiyou Qian, Bin Cheng, Jian Cao, Guangtao Xue, Jiadi Yu, Yanmin Zhu, Minglu Li:
A QoS-oriented Scheduling and Autoscaling Framework for Deep Learning. 1-8 - Gustavo H. F. M. Oliveira, Leandro L. Minku, Adriano L. I. Oliveira:
GMM-VRD: A Gaussian Mixture Model for Dealing With Virtual and Real Concept Drifts. 1-8 - Paulo Bruno S. Serafim, Aldísio Gonçalves Medeiros, Paulo A. L. Rego, José Gilvan Rodrigues Maia, Fernando Antonio Mota Trinta, Marcio E. F. Maia, José Antônio Fernandes de Macêdo, Aloísio Vieira Lira Neto:
A Method based on Convolutional Neural Networks for Fingerprint Segmentation. 1-8 - Esma Mansouri-Benssassi, Juan Ye:
Speech Emotion Recognition With Early Visual Cross-modal Enhancement Using Spiking Neural Networks. 1-8 - Hongxin Wang, Jigen Peng, Qinbing Fu, Huatian Wang, Shigang Yue:
Visual Cue Integration for Small Target Motion Detection in Natural Cluttered Backgrounds. 1-7 - Mariana Curi, Geoffrey A. Converse, Jeffrey Hajewski, Suely Oliveira:
Interpretable Variational Autoencoders for Cognitive Models. 1-8 - Ziqian Luo, Xiangrui Zeng, Zhipeng Bao, Min Xu:
Deep Learning-Based Strategy For Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography. 1-8 - Wilson Silva, Kelwin Fernandes, Jaime S. Cardoso:
How to produce complementary explanations using an Ensemble Model. 1-8 - Min Shi, Yufei Tang, Jianxun Liu:
TA-BLSTM: Tag Attention-based Bidirectional Long Short-Term Memory for Service Recommendation in Mashup Creation. 1-8 - Chris Yakopcic, Nayim Rahman, Tanvir Atahary, Tarek M. Taha, Alex Beigh, Scott Douglass:
High Speed Cognitive Domain Ontologies for Asset Allocation Using Loihi Spiking Neurons. 1-8 - Sibao Chen, Feng Luo, Bin Luo, Chris H. Q. Ding, Yi Liu:
Multiple Back Propagation Network and Metric Fusion for Person Re-identification. 1-8 - Junkun Jiang, Ruomei Wang, Shujin Lin, Fei Wang:
SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks. 1-8 - Aleksandr Diment, Eemi Fagerlund, Adrian Benfield, Tuomas Virtanen:
Detection of Typical Pronunciation Errors in Non-native English Speech Using Convolutional Recurrent Neural Networks. 1-8 - Waheed Ahmed Abro, Guilin Qi, Huan Gao, Muhammad Asif Khan, Zafar Ali:
Multi-turn Intent Determination for Goal-oriented Dialogue systems. 1-8 - Virginia Ortiz Andersson, Cristian Cechinel, Ricardo Matsumura de Araújo:
Combining Street-level and Aerial Images for Dengue Incidence Rate Estimation. 1-8 - Marcos Aurelio A. Ferreira Junior, Mateus Valentim Gurgel, Leandro Bezerra Marinho, Navar Medeiros M. e Nascimento, Suane Pires P. da Silva, Shara Shami A. Alves, Geraldo Luis Bezerra Ramalho, Pedro Pedrosa Rebouças Filho:
Evaluation of Heart Disease Diagnosis Approach using ECG Images. 1-7 - Sergey V. Sidorov, Nikolai Yu. Zolotykh:
On the Linear Separability of Random Points in the d-dimensional Spherical Layer and in the d-dimensional Cube. 1-4 - Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang, Hai-Tao Zheng:
CARL: Aggregated Search with Context-Aware Module Embedding Learning. 1-8 - Andreas Look, Stefan Riedelbauch:
Dealing with Limited Access to Data: Comparison of Deep Learning Approaches. 1-8 - Francesco Morandin, Gianluca Amato, Rosa Gini, Carlo Metta, Maurizio Parton, Gian-Carlo Pascutto:
SAI a Sensible Artificial Intelligence that plays Go. 1-8 - Guillaume Jubien, Marie-Caroline Schaeffer, Stéphane Bonnet, Tetiana Aksenova:
Decoding of finger activation from ECoG data: a comparative study. 1-8 - Honghui Du, Leandro L. Minku, Huiyu Zhou:
Multi-Source Transfer Learning for Non-Stationary Environments. 1-8 - Yue Yao, Josephine Plested, Tom Gedeon, Yuchi Liu, Zhengjie Wang:
Improved Techniques for Building EEG Feature Filters. 1-6 - Sagar Verma, Richa Verma, P. B. Sujit:
MAPEL: Multi-Agent Pursuer-Evader Learning using Situation Report. 1-8 - Huan Wang, Qiming Zhang, Yuehai Wang, Lu Yu, Haoji Hu:
Structured Pruning for Efficient ConvNets via Incremental Regularization. 1-8 - Xueyuan She, Yun Long, Saibal Mukhopadhyay:
Improving Robustness of ReRAM-based Spiking Neural Network Accelerator with Stochastic Spike-timing-dependent-plasticity. 1-8 - Jaishri M. Waghmare, Uday V. Kulkarni:
Unbounded Recurrent Fuzzy Min-Max Neural Network for Pattern Classification. 1-8 - Yang Fan, Jianhua Dai, Qilai Zhang:
Latent Space Embedding for Unsupervised Feature Selection via Joint Dictionary Learning. 1-8 - Rakib Al-Fahad, Mohammed Yeasin:
Micro-states based dynamic brain connectivity in understanding the commonality and differences in gender-specific emotion processing. 1-8 - Tiago Pimentel, Rafael Castro, Adriano Veloso, Nivio Ziviani:
Efficient Estimation of Node Representations in Large Graphs using Linear Contexts. 1-8 - Mischa Schmidt, Shahd Safarani, Julia Gastinger, Tobias Jacobs, Sebastien Nicolas, Anett Schülke:
On the Performance of Differential Evolution for Hyperparameter Tuning. 1-8 - Hongje Seong, Junhyuk Hyun, Hyunbae Chang, Suhyeon Lee, Suhan Woo, Euntai Kim:
Scene Recognition via Object-to-Scene Class Conversion: End-to-End Training. 1-6 - Shengyang Sun, Hui Xu, Jiwei Li, Haijun Liu, Qingjiang Li:
Cascaded Neural Network for Memristor based Neuromorphic Computing. 1-6 - Jianwei Liu, Feng Gao, Runkun Lu, Yuanfeng Lian, Dianzhong Wang, Xionglin Luo, Chu-ran Wang:
FSC-CapsNet: Fractionally-Strided Convolutional Capsule Network for complex data. 1-7 - Haiyang Xu, Yahao He, Kun Han, Junwen Chen, Xiangang Li:
Learning Syntactic and Dynamic Selective Encoding for Document Summarization. 1-8 - Karliane M. O. Vale, Anne Magály de Paula Canuto, Flavius L. Gorgônio, Amarildo J. F. de Lucena, Cainan T. Alves, Arthur C. Gorgônio, Araken M. Santos:
A Data Stratification Process for Instances Selection in Semi-Supervised Learning. 1-8 - Hanen Ameur, Salma Jamoussi, Abdelmajid Ben Hamadou:
A Deep Neural Network Model for Predicting User Behavior on Facebook. 1-8 - Rousslan Fernand Julien Dossa, Xinyu Lian, Hirokazu Nomoto, Takashi Matsubara, Kuniaki Uehara:
A Human-Like Agent Based on a Hybrid of Reinforcement and Imitation Learning. 1-8 - Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das:
AX-DBN: An Approximate Computing Framework for the Design of Low-Power Discriminative Deep Belief Networks. 1-9 - Bin Cheng, Shiyou Qian, Jian Cao, Guangtao Xue, Jiadi Yu, Yanmin Zhu, Minglu Li:
DOAD: An Online Dredging Operation Anomaly Detection Method based on AIS Data. 1-7 - Dennis Chow, Anjin Liu, Guangquan Zhang, Jie Lu:
Knowledge graph-based entity importance learning for multi-stream regression on Australian fuel price forecasting. 1-8 - Yingyao Wang, Jianhua Dai:
Label Distribution Feature Selection Based on Mutual Information in Fuzzy Rough Set Theory. 1-2 - Diana Benavides Prado, Yun Sing Koh, Patricia Riddle:
Selective Hypothesis Transfer for Lifelong Learning. 1-10 - Koki Kusano, Tetsuo Tashiro, Takashi Matsubara, Kuniaki Uehara:
Deep Generative State-Space Modeling of FMRI Images for Psychiatric Disorder Diagnosis. 1-7 - Yuriy Gavrilin, Adil Khan:
Across-Sensor Feature Learning for Energy-Efficient Activity Recognition on Mobile Devices. 1-7 - Andrii Shachykov, Oleksandr Shuliak, Patrick Hénaff:
Closed-loop Central Pattern Generator Control of Human Gaits in OpenSim Simulator. 1-8 - Jibin Wu, Yansong Chua, Malu Zhang, Qu Yang, Guoqi Li, Haizhou Li:
Deep Spiking Neural Network with Spike Count based Learning Rule. 1-6 - Huiping Zhuang, Zhiping Lin, Kar-Ann Toh:
A Low-Memory Learning Formulation for a Kernel-and-Range Network. 1-6 - Raúl V. Casaña Eslava, José David Martín-Guerrero, Sandra Ortega-Martorell, Paulo J. G. Lisboa, Ian H. Jarman:
Scalable implementation of measuring distances in a Riemannian manifold based on the Fisher Information metric. 1-7 - Bo-Qun Ma, He Li, Yun Luo, Bao-Liang Lu:
Depersonalized Cross-Subject Vigilance Estimation with Adversarial Domain Generalization. 1-8 - Feng Yuan, Lina Yao, Boualem Benatallah:
Adversarial Collaborative Auto-encoder for Top-N Recommendation. 1-8 - Faqian Guan, Chunyan Yu, Suqiong Yang:
A GAN Model With Self-attention Mechanism To Generate Multi-instruments Symbolic Music. 1-6 - Mihael Cudic, José C. Príncipe:
Using a Recurrent Kernel Learning Machine for Small-Sample Image Classification. 1-6 - Matheus Henrique Dal Molin Ribeiro, Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza, Leandro dos Santos Coelho:
Multi-Objective Ensemble Model for Short-Term Price Forecasting in Corn Price Time Series. 1-8 - Jonathan de Matos, Alceu de Souza Britto Jr., Luiz E. S. Oliveira, Alessandro L. Koerich:
Double Transfer Learning for Breast Cancer Histopathologic Image Classification. 1-8 - Zhen Wang, Hongyan Quan:
Fashion Outfit Composition Combining Sequential Learning and Deep Aesthetic Network. 1-7 - Kathan Kashiparekh, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff:
ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification. 1-8 - Bahman Asadi, Mahesan Niranjan:
Representation-dimensionality Trade-off in Biological Sequence-based Inference. 1-7 - Hans Lehnert, María-José Escobar, Mauricio Araya:
Retina-inspired Visual Module for Robot Navigation in Complex Environments. 1-8 - Sijia Niu, Qian Xu, Pengfei Zhu, Qinghua Hu, Hong Shi:
Coupled Dictionary Learning for Multi-label Embedding. 1-8 - John J. M. Reynolds, James S. Plank, Catherine D. Schuman:
Intelligent Reservoir Generation for Liquid State Machines using Evolutionary Optimization. 1-8 - Xiaojun Li, Yu-e Sun, Qian Liu, Zhiwei Shen, Benjian Song, Yang Du, He Huang:
PROMISE: A Taxi Recommender System Based on Inter-regional Passenger Mobility. 1-8 - Xuexiang Zhang, Ping Wei, Nanning Zheng:
Face Age Transformation with Progressive Residual Adversarial Autoencoder. 1-8 - Cory Kromer-Edwards, Suely Oliveira, David E. Stewart:
Parallelizing Basis Pursuit Denoising. 1-5 - Kentaro Takeda, Hiroyuki Torikai:
A novel hardware-efficient CPG model for a hexapod robot based on nonlinear dynamics of coupled asynchronous cellular automaton oscillators. 1-8 - Lucas Chesini Okimoto, Ana Carolina Lorena:
Data complexity measures in feature selection. 1-8 - Haider Raza, Spyridon Samothrakis:
Bagging Adversarial Neural Networks for Domain Adaptation in Non-Stationary EEG. 1-7 - Yi Wang, Brendan McCane, Neil McNaughton, Zhiyi Huang, Shabah M. Shadli, Phoebe Neo:
AnxietyDecoder: An EEG-based Anxiety Predictor using a 3-D Convolutional Neural Network. 1-8 - Yi Xiang Marcus Tan, Alfonso Iacovazzi, Ivan Homoliak, Yuval Elovici, Alexander Binder:
Adversarial Attacks on Remote User Authentication Using Behavioural Mouse Dynamics. 1-10 - Isaac K. E. Ampomah, Zhiwei Lin, Sally I. McClean, Glenn I. Hawe:
Gated Task Interaction Framework for Multi-task Sequence Tagging. 1-8 - Felipe A. L. Reis, Raquel Almeida, Ewa Kijak, Simon Malinowski, Silvio Jamil Ferzoli Guimarães, Zenilton K. G. do Patrocínio:
Combining convolutional side-outputs for road image segmentation. 1-8 - Wendy D. W. T. Bayu, May Iffah Rizki, Lintang Matahari Hasani, Valian Fil Ahli, Ari Wibisono, Petrus Mursanto:
Analysis of Two Various Approaches for Attributes Classification Based on User-Submitted Photos. 1-7 - Jimmy Gaudreault, Arunabh Saxena, Hideaki Shimazaki:
Online Estimation of Multiple Dynamic Graphs in Pattern Sequences. 1-8 - Jonnathann Silva Finizola, Jonas Mendonça Targino, Felipe Gustavo Silva Teodoro, Clodoaldo Ap. M. Lima:
Comparative study between Deep Face, Autoencoder and Traditional Machine Learning Techniques aiming at Biometric Facial Recognition. 1-8 - Arindam Paul, Dipendra Jha, Reda Al-Bahrani, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
Transfer Learning Using Ensemble Neural Networks for Organic Solar Cell Screening. 1-8 - Qinglin Wang, Songzhu Mei, Jie Liu, Chunye Gong:
Parallel convolution algorithm using implicit matrix multiplication on multi-core CPUs. 1-7 - Qichuan Yang, Zhiqiang He, Zhiqiang Zhan, Jianyu Zhao, Yang Zhang, Changjian Hu:
MIDS: End-to-End Personalized Response Generation in Untrimmed Multi-Role Dialogue*. 1-8 - Kumar Shridhar, Ayushman Dash, Amit Sahu, Gustav Grund Pihlgren, Pedro Alonso, Vinaychandran Pondenkandath, György Kovács, Foteini Simistira, Marcus Liwicki:
Subword Semantic Hashing for Intent Classification on Small Datasets. 1-6 - Zikang Wang, Linjing Li, Qiudan Li, Daniel Zeng:
Multimodal Data Enhanced Representation Learning for Knowledge Graphs. 1-8 - Xiang Wu, Juyang Weng:
The Emergent-Context Emergent-Input Framework for Temporal Processing. 1-8 - Laura Muzzarelli, Susanne Weis, Simon B. Eickhoff, Kaustubh R. Patil:
Rank Selection in Non-negative Matrix Factorization: systematic comparison and a new MAD metric. 1-8 - Yi Xiong, Guiping Su, Shiwei Ye, Yuan Sun, Yi Sun:
Deeper Capsule Network For Complex Data. 1-8 - Zeyuan Wang, Josiah Poon, Shiding Sun, Simon K. Poon:
Attention-based Multi-instance Neural Network for Medical Diagnosis from Incomplete and Low Quality Data. 1-8 - Hasala Dharmawardena, Ganesh K. Venayagamoorthy:
Cellular Computational Network for Distributed Power Flow Inferencing in Electric Distribution Systems. 1-8 - Naiyue Chen, Jie He, Xiang Wang, Zhiyuan Zhang, Ping Yang, Yanping Fu:
Community Detection with Indirect Neighbors based on Granular Computing in Social Networks. 1-8 - Guoji Fu, Chengbin Hou, Xin Yao:
Learning Topological Representation for Networks via Hierarchical Sampling. 1-8 - Sai Sirisha Rallabandi, Suryakanth V. Gangashetty:
An Approach to Cross-Lingual Voice Conversion. 1-7 - Bruno Almeida Pimentel, André C. P. L. F. de Carvalho:
Unsupervised Meta-Learning for Clustering Algorithm Recommendation. 1-8 - João Reis, Miguel Rocha, Truong Khoa Phan, David Griffin, Franck Le, Miguel Rio:
Deep Neural Networks for Network Routing. 1-8 - Swaraj Kumar, Shaurya Chaturvedi, Sandipan Dutta:
Understanding Language Dependency on Emotional Speech using Siamese Network. 1-8 - Sara Dorado, Ángela Fernández, José R. Dorronsoro:
Deep Diffusion Autoencoders. 1-8 - Purbaditya Bhattacharya, Udo Zölzer:
A Convolutional Neural Network with Two-Channel Input for Image Super-Resolution. 1-7 - Eric Bax, Farshad Kooti:
Ensemble Validation: Selectivity has a Price, but Variety is Free. 1-8 - Binyi Yin, Dongbo Zhang, Shuai Li, Aimin Hao, Hong Qin:
Context-Aware Network for 3D Human Pose Estimation from Monocular RGB Image. 1-8 - Shuxin Zhao, Chaochen Gu, Changsheng Lu, Ye Huang, Kaijie Wu, Xinping Guan:
PointDoN: A Shape Pattern Aggregation Module for Deep Learning on Point Cloud. 1-8 - Jiaxu Zuo, Tom Gedeon, Zhenyue Qin:
Your Eyes Say You're Lying: An Eye Movement Pattern Analysis for Face Familiarity and Deceptive Cognition. 1-8 - Min Peng, Weilong Hu, Gang Tian, Bin Wang, Hua Wang, Gang Wang:
Dilated Convolutional Networks Incorporating Soft Entity Type Constraints for Distant Supervised Relation Extraction. 1-7 - Issam H. Laradji, Mark Schmidt, Vladimir Pavlovic, Minyoung Kim:
Efficient Deep Gaussian Process Models for Variable-Sized Inputs. 1-7 - Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Xiang Zhang, Quan Z. Sheng:
Dual-stream Self-Attentive Random Forest for False Information Detection. 1-8 - Qi Huang, Chuan Zhou, Jia Wu, Mingwen Wang, Bin Wang:
Deep Structure Learning for Rumor Detection on Twitter. 1-8 - Monika Sharma, Shikha Gupta, Arindam Chowdhury, Lovekesh Vig:
ChartNet: Visual Reasoning over Statistical Charts using MAC-Networks. 1-7 - Huatian Wang, Qinbing Fu, Hongxin Wang, Jigen Peng, Paul Baxter, Cheng Hu, Shigang Yue:
Angular Velocity Estimation of Image Motion Mimicking the Honeybee Tunnel Centring Behaviour. 1-7 - Yan Dai, Mengwen Yuan, Huajin Tang, Rui Yan:
A temporal encoding method based on expansion representation. 1-8 - Adam Taylor, Ivana Dusparic, Maxime Guériau, Siobhán Clarke:
Parallel Transfer Learning in Multi-Agent Systems: What, when and how to transfer? 1-8 - Muhammad Umer, Christopher Frederickson, Robi Polikar:
Vulnerability of Covariate Shift Adaptation Against Malicious Poisoning Attacks. 1-8 - Kevin Louis de Jong, Anna Sergeevna Bosman:
Unsupervised Change Detection in Satellite Images Using Convolutional Neural Networks. 1-8 - Dongmian Zou, Gilad Lerman:
Encoding robust representation for graph generation. 1-9 - Asad Abbas, Stephan K. Chalup:
The Impact of Image Resolution on Facial Expression Analysis with CNNs. 1-8 - Shaoxiong Ji, Shirui Pan, Guodong Long, Xue Li, Jing Jiang, Zi Huang:
Learning Private Neural Language Modeling with Attentive Aggregation. 1-8 - Aravind Sankar, Adit Krishnan, Zongjian He, Carl Yang:
RASE: Relationship Aware Social Embedding. 1-8 - Parisa Rastin, Younès Bennani, Rosanna Verde:
Automatic detection of the support points in relational clustering. 1-8 - Sandipan Dutta, Shaurya Chaturvedi, Swaraj Kumar, M. P. S. Bhatia:
SkiDNet: Skip Image Denoising Network for X-Rays. 1-8 - João Roberto Bertini Junior:
A Discretization-based Ensemble Learning Method for Classification in High-Speed Data Streams. 1-8 - Shi Yin, Yi Zhou, Chenguang Li, Shangfei Wang, Jianmin Ji, Xiaoping Chen, Ruili Wang:
KDSL: a Knowledge-Driven Supervised Learning Framework for Word Sense Disambiguation. 1-8 - Nils Schaetti:
Behaviors of Reservoir Computing Models for Textual Documents Classification. 1-7 - Fu-Shiung Hsieh:
Collaboration of Machines and Robots in Cyber Physical Systems based on Evolutionary Computation Approach. 1-8 - Li Li, Chien Aun Chan, Sarah M. Erfani, Christopher Leckie:
Adaptive Edge Caching based on Popularity and Prediction for Mobile Networks. 1-10 - Felipe Costa Farias, Teresa Bernarda Ludermir, Carmelo J. A. Bastos Filho, Flávio Rosendo Da Silva Oliveira:
Analyzing the impact of data representations in classification problems using clustering. 1-6 - Rodolfo Miranda Pereira, Yandre M. G. Costa, Rafael de Lima Aguiar, Alceu S. Britto Jr., Luiz E. S. Oliveira, Carlos N. Silla:
Representation Learning vs. Handcrafted Features for Music Genre Classification. 1-8 - Homanga Bharadhwaj, Avinash Kumar, Abheejeet Mohapatra:
A Synchro-phasor Assisted Optimal Features Based Scheme for Fault Detection and Classification. 1-8 - Mikhail V. Kiselev, Andrey Lavrentyev:
A Preprocessing Layer in Spiking Neural Networks - Structure, Parameters, Performance Criteria. 1-9 - Luiz Henrique Nogueira Lorena, Marcos Gonçalves Quiles, Luiz Antonio Nogueira Lorena, André C. P. L. F. de Carvalho, Juliana Garcia Cespedes:
Qualitative data clustering: a new Integer Linear Programming model. 1-8 - Abiodun Brimmo Yusuf, Ah-Lian Kor, Hissam Tawfik:
Development of a Simulation Experiment to Investigate In-Flight Startle using Fuzzy Cognitive Maps and Pupillometry. 1-10 - Daniel Gibert, Carles Mateu, Jordi Planes:
A Hierarchical Convolutional Neural Network for Malware Classification. 1-8 - Shahin Amiriparian, Arsany Awad, Maurice Gerczuk, Lukas Stappen, Alice Baird, Sandra Ottl, Björn W. Schuller:
Audio-based Recognition of Bipolar Disorder Utilising Capsule Networks. 1-7 - Matthew K. Matlock, Arghya Datta, Na Le Dang, Kevin Jiang, S. Joshua Swamidass:
Deep learning long-range information in undirected graphs with wave networks. 1-8 - Philipp Blandfort, Tushar Karayil, Federico Raue, Jörn Hees, Andreas Dengel:
Fusion Strategies for Learning User Embeddings with Neural Networks. 1-8 - Kaiyuan Chen, Jinghao Zhao:
Skip The Question You Don't Know: An Embedding Space Approach. 1-7 - Matthias Kerzel, Erik Strahl, Connor Gaede, Emil Gasanov, Stefan Wermter:
Neuro-Robotic Haptic Object Classification by Active Exploration on a Novel Dataset. 1-8 - Hui Yu, Haitao Sa, Dafang Zou, Jiafa Mao, Weiguo Sheng:
A Super-Resolution Generative Adversarial Network with Simplified Gradient Penalty and Relativistic Discriminator. 1-8 - Zhiqiang Gong, Ping Zhong, Weidong Hu, Fang Liu, Bingwei Hui:
An End-to-End Joint Unsupervised Learning of Deep Model and Pseudo-Classes for Remote Sensing Scene Representation. 1-7 - Tianyi Xiong, Zhiqiang Pu, Jianqiang Yi, Zezhi Sui:
Adaptive Neural Network Time-varying Formation Tracking Control for Multi-agent Systems via Minimal Learning Parameter Approach. 1-8 - Myungjae Shin, Joongheon Kim:
Adversarial Imitation Learning via Random Search. 1-8 - Uddeshya Upadhyay, Badrinath Singhal, Meenakshi Singh:
Spinal Stenosis Detection in MRI using Modular Coordinate Convolutional Attention Networks. 1-8 - Haibao Wang, Lijie Huang, Changde Du, Huiguang He:
Learning "What" and "Where": An Interpretable Neural Encoding Model. 1-8 - Hao Li, Xiaohong Li, Xiang Chen, Xiaofei Xie, Yanzhou Mu, Zhiyong Feng:
Cross-project Defect Prediction via ASTToken2Vec and BLSTM-based Neural Network. 1-8 - Abder-Rahman Ali, Jingpeng Li, Sally Jane O'Shea, Guang Yang, Thomas Trappenberg, Xujiong Ye:
A Deep Learning Based Approach to Skin Lesion Border Extraction With a Novel Edge Detector in Dermoscopy Images. 1-7 - Wei Hong Chin, Naoyuki Kubota, Chu Kiong Loo, Zhaojie Ju, Honghai Liu:
Spatial Map Learning with Self-Organizing Adaptive Recurrent Incremental Network. 1-6 - Michael Klachko, Mohammad Reza Mahmoodi, Dmitri B. Strukov:
Improving Noise Tolerance of Mixed-Signal Neural Networks. 1-8 - Yuanyuan Zhang, Zi-Rui Wang, Jun Du:
Deep Fusion: An Attention Guided Factorized Bilinear Pooling for Audio-video Emotion Recognition. 1-8 - István Ketykó, Ferenc Kovács, Krisztián Zsolt Varga:
Domain Adaptation for sEMG-based Gesture Recognition with Recurrent Neural Networks. 1-7 - Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin:
On Dissimilarity Representation and Transfer Learning for Offline Handwritten Signature Verification. 1-9 - Su Chen, Qinmin Vivian Hu, Yang Song, Yun He, Huaying Wu, Liang He:
Self-Attention based Network For Medical Query Expansion. 1-9 - Ilia Sucholutsky, Apurva Narayan, Matthias Schonlau, Sebastian Fischmeister:
Deep Learning for System Trace Restoration. 1-8 - Franck Dufrenois, Denis Hamad:
Sparse and online null proximal discriminant analysis for one class learning in large-scale datasets. 1-8 - Zhen Wang, Suresh Muknahallipatna, Maohong Fan, Austin Okray, Chao Lan:
Music Classification using an Improved CRNN with Multi-Directional Spatial Dependencies in Both Time and Frequency Dimensions. 1-8 - Zihan Pan, Jibin Wu, Malu Zhang, Haizhou Li, Yansong Chua:
Neural Population Coding for Effective Temporal Classification. 1-8 - Yufei Han, Yuzhe Ma, Christopher Gates, Kevin A. Roundy, Yun Shen:
Collaborative and Privacy-Preserving Machine Teaching via Consensus Optimization. 1-8 - Zesheng Liu, Xu Bai, Tian Cai, Chanjuan Chen, Wang Zhang, Lei Jiang:
Improving Sentence Representations with Local and Global Attention for Classification. 1-7 - Yang Wang, Hai-Tao Zheng, Wang Chen, Rui Zhang:
LambdaGAN: Generative Adversarial Nets for Recommendation Task with Lambda Strategy. 1-8 - Vanika Singhal, Angshul Majumdar:
Age and Gender Estimation via Deep Dictionary Learning Regression. 1-8 - Shigeo Abe:
Analyzing Minimal Complexity Machines. 1-8 - Iago R. R. Silva, Gabriela S. L. Silva, Rodrigo G. de Souza, Wellington P. dos Santos, Roberta A. de A. Fagundes:
Model Based on Deep Feature Extraction for Diagnosis of Alzheimer's Disease. 1-7 - Riccardo Guidotti, Salvatore Ruggieri:
On The Stability of Interpretable Models. 1-8 - Hui Liu, Zhenyu Liu, Weiqiang Jia, Xianke Lin:
A Novel Deep Learning-Based Encoder-Decoder Model for Remaining Useful Life Prediction. 1-8 - Christian Arcos, Marley M. B. R. Vellasco, Abraham Alcaim:
Ideal neighbourhood mask for speech enhancement using deep neural networks. 1-5 - Won-Mook Kang, Chul-Heung Kim, Soochang Lee, Sung Yun Woo, Jong-Ho Bae, Byung-Gook Park, Jong-Ho Lee:
A Spiking Neural Network with a Global Self-Controller for Unsupervised Learning Based on Spike-Timing-Dependent Plasticity Using Flash Memory Synaptic Devices. 1-7 - David Simões, Nuno Lau, Luís Paulo Reis:
Multi-Agent Deep Reinforcement Learning with Emergent Communication. 1-8 - Zhenzhen Cai, Bo Jiang, Zhigang Lu, Junrong Liu, Pingchuan Ma:
isAnon: Flow-Based Anonymity Network Traffic Identification Using Extreme Gradient Boosting. 1-8 - Wei Dai, Yimin Chen, Chen Huang, Ming-ke Gao, Xinyu Zhang:
Two-Stream Convolution Neural Network with Video-stream for Action Recognition. 1-8 - Ruihong Yao, Fei Wang, Shuhui Chen:
TCoD: A Traveling Companion Discovery Method Based on Clustering and Association Analysis. 1-7 - David Samuel, Martin Pilát:
Composing Multi-Instrumental Music with Recurrent Neural Networks. 1-8 - Bogdan Grechuk:
Practical stochastic separation theorems for product distributions. 1-8 - Carlo D'Eramo, Andrea Cini, Marcello Restelli:
Exploiting Action-Value Uncertainty to Drive Exploration in Reinforcement Learning. 1-8 - Stefano Marrone, Carlo Sansone:
An Adversarial Perturbation Approach Against CNN-based Soft Biometrics Detection. 1-8 - Yu Qin, Jiajun Du, Xinyao Wang, Hongtao Lu:
Recurrent Layer Aggregation using LSTM. 1-8 - Kazuki Sato, Kenta Hama, Takashi Matsubara, Kuniaki Uehara:
Predictable Uncertainty-Aware Unsupervised Deep Anomaly Segmentation. 1-7 - Bas van Stein, Hao Wang, Thomas Bäck:
Automatic Configuration of Deep Neural Networks with Parallel Efficient Global Optimization. 1-7 - Abdullah M. Zyarah, Dhireesha Kudithipudi:
Neuromemristive Multi-Layer Random Projection Network with On-Device Learning. 1-8 - Qian Zhang, Peng Hao, Jie Lu, Guangquan Zhang:
Cross-domain Recommendation with Semantic Correlation in Tagging Systems. 1-8 - Hideomi Tsunakawa, Yoshitaka Kameya, Hanju Lee, Yosuke Shinya, Naoki Mitsumoto:
Contrastive Relevance Propagation for Interpreting Predictions by a Single-Shot Object Detector. 1-9 - Danil V. Prokhorov:
Toward Next Generation of Autonomous Systems with AI. 1-5 - Nobuhito Manome, Shuji Shinohara, Kouta Suzuki, Kosuke Tomonaga, Shunji Mitsuyoshi:
SOM-based Algorithm for Multi-armed Bandit Problem. 1-6 - Sibao Chen, Peng-Cheng Wang, Bin Luo, Chris H. Q. Ding, Jian Zhang:
SRAGAN: Generating Colour Landscape Photograph from Sketch. 1-8 - Abdul Ghafoor, S. N. Balakrishnan:
Modified State Observer Based Two-Way ETNAC Design For Uncertain Linear Systems. 1-8 - Luis Claudio Sugi Afonso, Danilo Colombo, Clayton R. Pereira, Kelton A. P. Costa, João P. Papa:
Multiple-Instance Learning through Optimum-Path Forest. 1-7 - Jun Hu, Wendong Zheng:
Transformation-gated LSTM: efficient capture of short-term mutation dependencies for multivariate time series prediction tasks. 1-8 - Shigetoshi Nara, Hiroshi Fujii, Hiromichi Tsukada, Ichiro Tsuda:
A Three-Modules Scenario in An Interpretation of Visual Hallucination in Dementia With Lewy Bodies and Preliminary Results of Computer Experiments. 1-8 - Chenfeng Liu, Pengfei Zhu, Qinghua Hu:
Spatio-temporal Active Learning for Visual Tracking. 1-8 - Xinxin Zhou, Zhaohui Zhang, Lizhi Wang, Pengwei Wang:
A Model Based on Siamese Neural Network for Online Transaction Fraud Detection. 1-7 - Qiang Huang, Jianhui Bu, Weijian Xie, Shengwen Yang, Weijia Wu, Liping Liu:
Multi-task Sentence Encoding Model for Semantic Retrieval in Question Answering Systems. 1-8 - Jia Wu, Chen Wang, Lidong Xiong, Hongyong Sun:
Quantitative Trading on Stock Market Based on Deep Reinforcement Learning. 1-8 - Lyes Khacef, Benoît Miramond, Diego Barrientos, Andres Upegui:
Self-organizing neurons: toward brain-inspired unsupervised learning. 1-9 - Saurabh Srivastava, Puneet Agarwal, Gautam Shroff, Lovekesh Vig:
Hierarchical Capsule Based Neural Network Architecture for Sequence Labeling. 1-8 - Mohamed Amine Marnissi, Hajer Fradi, Jean-Luc Dugelay:
On the Discriminative Power of Learned vs. Hand-Crafted Features for Crowd Density Analysis. 1-8 - Philippe Thomas, Marie-Christine Suhner, William Derigent:
Relearning procedure to adapt pollutant prediction neural model: Choice of relearning algorithm. 1-8 - Thiago J. M. Moura, George D. C. Cavalcanti, Luiz S. Oliveira:
Evaluating Competence Measures for Dynamic Regressor Selection. 1-8 - Kevin Alexander Laube, Andreas Zell:
ShuffleNASNets: Efficient CNN models through modified Efficient Neural Architecture Search. 1-6 - Qian Wang, Penghui Bu, Toby P. Breckon:
Unifying Unsupervised Domain Adaptation and Zero-Shot Visual Recognition. 1-8 - Rama Murthy Garimella, Sai Dileep Munugoti, Anil Rayala:
Novel Ceiling Neuron Model and its Applications. 1-8 - Shuainan Wang, Tong Xu, Wei Li, Haifeng Sun:
CSSD: Cascade Single Shot Face Detector. 1-8 - Artúr István Károly, Márta Takács, Péter Galambos:
OCSVM-based Evaluation Method for Generative Neural Networks. 1-6 - Chandan Kumar Singh, Vivek Kumar Gangwar, Harsh Vardhan Singh, Karan Narain, Anima Majumder, Swagat Kumar:
Deep Capsule Network based Automatic Batch Code Identification Pipeline for a Real-life Industrial Application. 1-9 - Deepak Vijaykeerthy, Anshuman Suri, Sameep Mehta, Ponnurangam Kumaraguru:
Hardening Deep Neural Networks via Adversarial Model Cascades. 1-8 - Jiaxing Wang, Weiqun Wang, Zeng-Guang Hou, Weiguo Shi, Xu Liang, Shixin Ren, Liang Peng, Yan-Jie Zhou:
BCI and Multimodal Feedback Based Attention Regulation for Lower Limb Rehabilitation. 1-7 - Xin Dai, Fanzhang Li, Xiaopei Li, Helan Liang:
A Novel Recommender System using Hidden Bayesian Probabilistic Model based Collaborative Filtering. 1-8 - Zhe-Cheng Fan, Tak-Shing Chan, Yi-Hsuan Yang, Jyh-Shing Roger Jang:
Deep Cyclic Group Networks. 1-8 - Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Adversarial Attacks on Deep Neural Networks for Time Series Classification. 1-8 - Manuele Bicego:
K-Random Forests: a K-means style algorithm for Random Forest clustering. 1-8 - Maxime De Bois, Mounîm A. El-Yacoubi, Mehdi Ammi:
Study of Short-Term Personalized Glucose Predictive Models on Type-1 Diabetic Children. 1-8 - Masato Ishii, Atsushi Sato:
Training Deep Neural Networks with Adversarially Augmented Features for Small-scale Training Datasets. 1-8 - Saima Sharmin, Priyadarshini Panda, Syed Shakib Sarwar, Chankyu Lee, Wachirawit Ponghiran, Kaushik Roy:
A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks. 1-8 - Adrian Chriswanto, Hsing-Kuo Pao, Yuh-Jye Lee:
A Unified Approach on Active Learning Dual Supervision. 1-8 - Xiaokai Chu, Xinxin Fan, Di Yao, Chen-Lin Zhang, Jianhui Huang, Jingping Bi:
Noise-Aware Network Embedding for Multiplex Network. 1-8 - Chun-Min Chang, Chia-Ching Lin, Kuan-Ta Chen:
Efficient and Robust Convolutional Neural Networks via Channel Prioritization and Path Ensemble. 1-8 - Simone Disabato, Manuel Roveri:
Learning Convolutional Neural Networks in presence of Concept Drift. 1-8 - Yijun Su, Xiang Li, Wei Tang, Daren Zha, Ji Xiang, Neng Gao:
Personalized Point-of-Interest Recommendation on Ranking with Poisson Factorization. 1-8 - Yoshimasa Kubo, Michael Traynor, Thomas Trappenberg, Sageev Oore:
Learning Adaptive Weight Masking for Adversarial Examples. 1-8 - Heba El-Fiqi, Kathryn Kasmarik, Anastasios Bezerianos, Kay Chen Tan, Hussein A. Abbass:
Gate-Layer Autoencoders with Application to Incomplete EEG Signal Recovery. 1-8 - Li Chen, Chunyan Yu, Lvcai Chen:
A New Knowledge Distillation for Incremental Object Detection. 1-7 - Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. DeVel, Paul Montague, Lizhen Qu, Dinh Q. Phung:
Deep Domain Adaptation for Vulnerable Code Function Identification. 1-8 - Yixin Su, Sarah Monazam Erfani, Rui Zhang:
MMF: Attribute Interpretable Collaborative Filtering. 1-8 - Jiajun Du, Yu Qin, Hongtao Lu:
Network Search for Binary Networks. 1-8 - Dohyun Kim, Joongheon Kim, Junseok Kwon, Tae-Hyung Kim:
Depth-Controllable Very Deep Super-Resolution Network. 1-8 - Timothée Lesort, Hugo Caselles-Dupré, Michaël Garcia Ortiz, Andrei Stoian, David Filliat:
Generative Models from the perspective of Continual Learning. 1-8 - Donghyun Kang, Minho Lee:
Seq-DNC-seq: Context Aware Dialog Generation System Through External Memory. 1-8 - Lucas Roque, Altino Dantas, Celso G. Camilo-Junior:
Programming Style Analysis with Recurrent Neural Network to Automatic Pull Request Approval. 1-7 - Wei-Fen Hsieh, Youdi Li, Erina Kasano, Eri Sato-Shimokawara, Toru Yamaguchi:
Confidence Identification Based on the Combination of Verbal and Non-Verbal factors in Human Robot Interaction. 1-7 - Tuan D. Pham, Chuanwen Fan, Hong Zhang, Xiao-Feng Sun:
Deep Learning Of P73 Biomarker Expression In Rectal Cancer Patients. 1-8 - Tung Doan, Atsuhiro Takasu:
Deep Multi-view Learning from Sequential Data without Correspondence. 1-8 - Prateep Bhattacharjee, Sukhendu Das:
Directional Attention based Video Frame Prediction using Graph Convolutional Networks. 1-10 - Tiago J. dos Santos, Carlos A. B. Mello, Cleber Zanchettin, Thiago V. M. de Souza:
On the Influence of the Color Model for Image Boundary Detection Algorithms based on Convolutional Neural Networks. 1-8 - Cong Chen, Kim Batselier, Ching-Yun Ko, Ngai Wong:
Matrix Product Operator Restricted Boltzmann Machines. 1-8 - Daniel Nahmias, Aviad Cohen, Nir Nissim, Yuval Elovici:
TrustSign: Trusted Malware Signature Generation in Private Clouds Using Deep Feature Transfer Learning. 1-8 - Li Tang, Fei Teng, Zheng Ma, Lufei Huang, Ming Xiao, Xuan Li:
Convolutional LSTM Network with Hierarchical Attention for Relation Classification in Clinical Texts. 1-8 - Xi Yu, Ying Ma, Stephanie Farrington, John Reed, Bing Ouyang, José C. Príncipe:
Fast segmentation for large and sparsely labeled coral images. 1-6 - Wenhan Chao, Ping Wei, Zhunchen Luo, Xiao Liu, Guobin Sui:
Selective Expression For Event Coreference Resolution on Twitter. 1-8 - Xuefei Zhe, Le Ou-Yang, Hong Yan:
Improve L2-normalized Softmax with Exponential Moving Average. 1-7 - Zhi Wang, Han-Xiong Li:
Incremental Learning Based Subspace Modeling for Distributed Parameter Systems. 1-6 - Xian-Qin Ma, Chongchong Yu, Xin Yang, Xiuxin Chen, Jianzhang Chen, Lan Zhou:
A Method of Pedestrian Fine-grained Attribute Detection and Recognition. 1-9 - Liang Yang, Xiao-Yuan Jing, Fulin He, Fei Ma, Li Cheng:
Viewpoint-robust Person Re-identification via Deep Residual Equivariant Mapping and Fine-grained Features. 1-10 - Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood:
Emotion Intensity Estimation from Video Frames using Deep Hybrid Convolutional Neural Networks. 1-10 - Sebastiano Vascon, Sinem Aslan, Alessandro Torcinovich, Twan van Laarhoven, Elena Marchiori, Marcello Pelillo:
Unsupervised Domain Adaptation using Graph Transduction Games. 1-8 - Sina Sayyah Ensan, Swaroop Ghosh:
FPCAS: In-Memory Floating Point Computations for Autonomous Systems. 1-8 - Jun Bai, Yi Zeng, Yuxuan Zhao, Feifei Zhao:
Training a V1 Like Layer Using Gabor Filters in Convolutional Neural Networks. 1-8 - Xiangyu Liu, Ying Tan:
Learning Distributed Coordinated Policy in Catching Game with Multi-Agent Reinforcement Learning. 1-7 - Daniel Slack, Alistair Knott, Brendan McCane:
Executing Declarative Parallel Representations of Sequences with Temporal Pooling. 1-8 - Qiyao Wang, Shuai Zheng, Ahmed K. Farahat, Susumu Serita, Takashi Saeki, Chetan Gupta:
Multilayer Perceptron for Sparse Functional Data. 1-10 - Yong Zhang, Xuezhen Ren, Jie Zhang:
Intrusion detection method based on information gain and ReliefF feature selection. 1-5 - Fan Liu, Xingshe Zhou, Tianben Wang, Jinli Cao, Zhu Wang, Hua Wang, Yanchun Zhang:
An Attention-based Hybrid LSTM-CNN Model for Arrhythmias Classification. 1-8 - László Kopácsi, Áron Fóthi, Ádám Fodor, Ellák Somfai, András Lorincz:
Common Fate Based Episodic Segmentation by Combining Supervoxels with Deep Neural Networks. 1-7 - Tulika Saha, Saurabh Srivastava, Mauajama Firdaus, Sriparna Saha, Asif Ekbal, Pushpak Bhattacharyya:
Exploring Machine Learning and Deep Learning Frameworks for Task-Oriented Dialogue Act Classification. 1-8 - Anupiya Nugaliyadde, Ferdous Sohel, Kok Wai Wong, Hong Xie:
Language Modeling through Long-Term Memory Network. 1-6 - Chaitanya Nagpal, Shiv Ram Dubey:
A Performance Evaluation of Convolutional Neural Networks for Face Anti Spoofing. 1-8 - Luis Eduardo Boiko Ferreira, Heitor Murilo Gomes, Albert Bifet, Luiz S. Oliveira:
Adaptive Random Forests with Resampling for Imbalanced data Streams. 1-6 - Yu Yin, Shuai An, Jun Wang, Jinmao Wei, Jianhua Ruan:
Probabilistic Margin-Aware Multi-Label Feature Selection by Preserving Spatial Consistency. 1-8 - Timothée Lesort, Mathieu Seurin, Xinrui Li, Natalia Díaz Rodríguez, David Filliat:
Deep unsupervised state representation learning with robotic priors: a robustness analysis. 1-8 - Jinjing Huang, Shaoyin Cheng, Songhao Lou, Fan Jiang:
Image steganography using texture features and GANs. 1-8 - Yunwei Zhao, Can Wang, Chi-Hung Chi, Willem-Jan van den Heuvel, Kwok-Yan Lam, Min Shu:
Beyond the Power of Mere Repetition: Forms of Social Communication on Twitter through the Lens of Information Flows and Its Effect on Topic Evolution. 1-8 - Qu Liu, Zhenyu Zhang, Yanzeng Li, Tingwen Liu, Diying Li, Jinqiao Shi:
ICNet: Incorporating Indicator Words and Contexts to Identify Functional Description Information. 1-8 - Xiaojuan Wei, Jinglin Li, Quan Yuan, Xu Han, Fangchun Yang:
Learning Navigation via R-VIN on Road Graphs. 1-8 - Matheus I. Hertzog, Ulisses Brisolara Corrêa, Ricardo M. Araujo:
SpreadOut: A Kernel Weight Initializer for Convolutional Neural Networks. 1-7 - Szabolcs-Botond Lorincz, Szabolcs Pável, Lehel Csató:
Single View Distortion Correction using Semantic Guidance. 1-6 - Yunxiao Li, Jiaxing Song, Xiao Li, Weidong Liu:
Gated Sequential Recommendation with Dynamic Memory Network. 1-8 - Hongchao Gao, Yujia Li, Xi Wang, Jizhong Han, Ruixuan Li:
Ensemble Attention For Text Recognition In Natural Images. 1-8 - Hemeng Tao, Zhuoyi Wang, Yifan Li, Mahmoud Zamani, Latifur Khan:
COMC: A Framework for Online Cross-domain Multistream Classification. 1-8 - A. Ravishankar Rao:
A computational model of multi-sensory perception and its application to investigating the controversy around learning styles. 1-8 - Alaa El Khatib, Fakhri Karray:
Preempting Catastrophic Forgetting in Continual Learning Models by Anticipatory Regularization. 1-7 - Gianluigi Folino, Massimo Guarascio, Francesco Chiaravalloti, Salvatore Gabriele:
A Deep Learning based architecture for rainfall estimation integrating heterogeneous data sources. 1-8 - Hoon Chung, Euisok Chung, Jeon Gue Park, Ho-Young Jung:
Parameter Reduction For Deep Neural Network Based Acoustic Models Using Sparsity Regularized Factorization Neurons. 1-5 - Jingtao Hu, En Zhu, Siqi Wang, Siwei Wang, Xinwang Liu, Jianping Yin:
Two-stage Unsupervised Video Anomaly Detection using Low-rank based Unsupervised One-class Learning with Ridge Regression. 1-8 - José Carlos C. L. da Silva Filho, Fábbio Anderson Silva Borges, Ricardo de Andrade Lira Rabelo, Ivan Saraiva Silva:
A Method for Voltage Sag Source Location Using Clustering Algorithm and Decision Rule Labeling. 1-8 - Thomas Truong, Svetlana N. Yanushkevich:
Generative Adversarial Network for Radar Signal Synthesis. 1-7 - Ahmed El Gazzar, Leonardo Cerliani, Guido van Wingen, Rajat Mani Thomas:
Simple 1-D Convolutional Networks for Resting-State fMRI Based Classification in Autism. 1-6 - Daksh Thapar, Gaurav Jaswal, Aditya Nigam:
FKIMNet: A Finger Dorsal Image Matching Network Comparing Component (Major, Minor and Nail) Matching with Holistic (Finger Dorsal) Matching. 1-8 - Takehito Bito, Masashi Hiraoka, Yoshinobu Kawahara:
Learning with Coherence Patterns in Multivariate Time-series Data via Dynamic Mode Decomposition. 1-8 - Julio J. Valdés, Ljubomir Nikolic, Kenneth Tapping:
Machine Learning Approaches for Predicting the 10.7 cm Radio Flux from Solar Magnetogram Data. 1-8 - Francesca Cipollini, Fabiana Miglianti, Luca Oneto, Giorgio Tani, Michele Viviani:
Hybrid Model for Cavitation Noise Spectra Prediction. 1-8 - Stefan Braun, Daniel Neil, Jithendar Anumula, Enea Ceolini, Shih-Chii Liu:
Attention-driven Multi-sensor Selection. 1-8 - Ruifeng Zhu, Fadi Dornaika, Yassine Ruichek:
Joint Graph Based Embedding and Feature Weighting for Image Classification. 1-8 - Zhen Liang, Hiroshi Higashi, Shigeyuki Oba, Shin Ishii:
Brain Dynamics Encoding from Visual Input during Free Viewing of Natural Videos. 1-8 - Yueheng Li, Biao Luo, Derong Liu, Zhe Dong, Zhanyu Yang:
Pinning Control for Synchronization of Drive-Response Memristive Neural Networks with Nonidentical Parameters. 1-8 - Jia Wu, Senpeng Chen, Xiuyun Chen:
RPR-BP: A Deep Reinforcement Learning Method for Automatic Hyperparameter Optimization. 1-8 - Jiangping Huang, Chunli Xiang, Shuwei Yuan, Desen Yuan, Xiaorui Huang:
Character-Aware Convolutional Recurrent Networks with Self-Attention for Emotion Detection on Twitter. 1-8 - Syed Adnan Yusuf, Abdul Samad, David James Garrity:
CLEverReg: A CNN-LSTM based Linear Regression Technique for Temporal Fire Event Modelling. 1-7 - Alejandro Romero, José Antonio Becerra, Francisco Bellas, Richard J. Duro:
Modulation Based Transfer Learning of Motivational Cues in Developmental Robotics. 1-8 - Jeffery Jonathan Joshua Davis, Robert Kozma:
Interpretation of Mesoscopic Neurodynamics by Simulating Conversion Between Pulses and Waves. 1-8 - Sidney Pontes-Filho, Marcus Liwicki:
Bidirectional Learning for Robust Neural Networks. 1-8 - Ulya Bayram, John Pestian, Daniel Santel, Ali A. Minai:
What's in a Word? Detecting Partisan Affiliation from Word Use in Congressional Speeches. 1-8 - Subhrajit Samanta, Andre Hartanto, Mahardhika Pratama, Suresh Sundaram, Narasimalu Srikanth:
RIT2FIS: A Recurrent Interval Type 2 Fuzzy Inference System and its Rule Base Estimation. 1-8 - Babak Hosseini, Barbara Hammer:
Large-Margin Multiple Kernel Learning for Discriminative Features Selection and Representation Learning. 1-8 - Richar Sosa, Alejandro Alfonso, Gonzalo Nápoles, Rafael Bello, Koen Vanhoof, Ann Nowé:
Synaptic Learning of Long-Term Cognitive Networks with Inputs. 1-8 - Fengjun Zhang, Guanjun Liu, Zhenchuan Li, Chungang Yan, Changjun Jiang:
GMM-based Undersampling and Its Application for Credit Card Fraud Detection. 1-8 - Chunhua Zhou, Huiting Xia, Jiejun Yin, Liang Gao, Yaqi Liu:
Hierarchical Classification Feature Extraction for Moving Target Detection Using Radar Echo. 1-7 - Yang Li, Bitao Jiang, Yao Lu, Li Shen:
Fine-grained Adversarial Image Inpainting with Super Resolution. 1-8 - Qianlong Wang, Jiangtao Ren:
Paraphrase Generation with Collaboration between the Forward and the Backward Decoder. 1-8 - Akhilesh Jaiswal, Amogh Agrawal, Indranil Chakraborty, Deboleena Roy, Kaushik Roy:
On Robustness of Spin-Orbit-Torque Based Stochastic Sigmoid Neurons for Spiking Neural Networks. 1-6 - Wilson Leal Rodrigues Junior, Fábbio Anderson Silva Borges, Ricardo de Andrade Lira Rabelo, Bruno Vicente Alves de Lima, Jose Eduardo Almeida de Alencar:
Classification of Power Quality Disturbances Using Convolutional Network and Long Short-Term Memory Network. 1-6 - Gabriella Pizzuto, Angelo Cangelosi:
Exploring Deep Models for Comprehension of Deictic Gesture-Word Combinations in Cognitive Robotics. 1-7 - Çaglar Aytekin, Francesco Cricri, Jani Lainema, Emre Aksu, Miska M. Hannuksela:
Approximating Binarization in Neural Networks. 1-5 - Simone Merello, Andrea Picasso Ratto, Luca Oneto, Erik Cambria:
Ensemble Application of Transfer Learning and Sample Weighting for Stock Market Prediction. 1-8 - Hongjie Zhang, Zhuocheng He, Jing Li:
Accelerating the Deep Reinforcement Learning with Neural Network Compression. 1-8 - Abdalwhab Abdalwhab, Huaping Liu:
Zero-Shot Object Detection for Indoor Robots. 1-8 - Ranjan Satapathy, Yang Li, Sandro Cavallari, Erik Cambria:
Seq2Seq Deep Learning Models for Microtext Normalization. 1-8 - Pedro Azevedo, Sabrina S. Panceri, Ranik Guidolini, Vinicius B. Cardoso, Claudine Badue, Thiago Oliveira-Santos, Alberto F. De Souza:
Bio-Inspired Foveated Technique for Augmented-Range Vehicle Detection Using Deep Neural Networks. 1-8 - Utku Ozbulak, Arnout Van Messem, Wesley De Neve:
Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding. 1-8 - Yu Wang, Changsheng Li, Ting Zhu, Chongchong Yu:
A Deep Learning Algorithm for Fully Automatic Brain Tumor Segmentation. 1-5 - Nicolás Cruz, Luis Gabriel Marín, Doris Sáez:
Prediction Intervals With LSTM Networks Trained By Joint Supervision. 1-8 - Ata Kabán:
Compressive Learning of Multi-layer Perceptrons: An Error Analysis. 1-7 - Dayvid Castro, Danilo Pereira, Cleber Zanchettin, David Macêdo, Byron L. D. Bezerra:
Towards Optimizing Convolutional Neural Networks for Robotic Surgery Skill Evaluation. 1-8 - Nik Khadijah Nik Aznan, Amir Atapour Abarghouei, Stephen Bonner, Jason D. Connolly, Noura Al Moubayed, Toby P. Breckon:
Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification. 1-8 - Corina Nentwich, Christopher Varela, Sebastian Engell:
Optimization of chemical processes applying surrogate models for phase equilibrium calculations. 1-8 - Xiangyu Xi, Tong Zhang, Wei Ye, Jinglei Zhang, Rui Xie, Shikun Zhang:
A Hybrid Character Representation for Chinese Event Detection. 1-8 - Nelson Yalta, Shinji Watanabe, Kazuhiro Nakadai, Tetsuya Ogata:
Weakly-Supervised Deep Recurrent Neural Networks for Basic Dance Step Generation. 1-8 - Denis Kleyko, Evgeny Osipov, Daswin De Silva, Urban Wiklund, Damminda Alahakoon:
Integer Self-Organizing Maps for Digital Hardware. 1-8 - Mariana de Araujo Souza, George D. C. Cavalcanti, Rafael M. O. Cruz, Robert Sabourin:
On evaluating the online local pool generation method for imbalance learning. 1-8 - Liwen Peng, Siqi Shen, Dongsheng Li, Jun Xu, Yongquan Fu, Huayou Su:
Author Disambiguation through Adversarial Network Representation Learning. 1-8 - Samet Akçay, Amir Atapour Abarghouei, Toby P. Breckon:
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection. 1-8 - Hua Zheng:
Biploar Fuzzy Rough Cognitive Network. 1-7 - Avinash Achar, Rohith Regikumar, B. Anil Kumar:
Dynamic Bus Arrival Time Prediction exploiting Non-linear Correlations. 1-8 - Yunhua Song, Hongyun Bao, Zhineng Chen, Jian-quan Ouyang:
A Novel End-to-End Multiple Tagging Model for Knowledge Extraction. 1-8 - Christoph Sandrock, Marek Herde, Adrian Calma, Daniel Kottke, Bernhard Sick:
Combining Self-reported Confidences from Uncertain Annotators to Improve Label Quality. 1-8 - Iana Sereda, Sergey Alekseev, Aleksandra Koneva, Roman Kataev, Grigory V. Osipov:
ECG Segmentation by Neural Networks: Errors and Correction. 1-7 - Ziyang Wang, Qinglai Wei, Derong Liu, Yanhong Luo:
Event-Triggered Adaptive Control for Discrete-Time Zero-Sum Games. 1-7 - Jean-Baptiste Aujogue, Alex Aussem:
Hierarchical Recurrent Attention Networks for Context-Aware Education Chatbots. 1-8 - Luc Giffon, Stéphane Ayache, Thierry Artières, Hachem Kadri:
Deep Networks with Adaptive Nyström Approximation. 1-8 - Carlos Ruiz, Carlos M. Alaíz, Alejandro Catalina, José R. Dorronsoro:
Flexible Kernel Selection in Multitask Support Vector Regression. 1-8 - Ramin M. Hasani, Alexander Amini, Mathias Lechner, Felix Naser, Radu Grosu, Daniela Rus:
Response Characterization for Auditing Cell Dynamics in Long Short-term Memory Networks. 1-8 - João Roberto Bertini Junior, Mei Abe Funcia, Antonio Alberto S. Santos, Denis J. Schiozer:
A comparison of machine learning algorithms as surrogate model for net present value prediction from wells arrangement data. 1-8 - Ali Anaissi, Seid Miad Zandavi:
Multi-Objective Autoencoder for Fault Detection and Diagnosis in Higher-Order Data. 1-8 - Patrik Sabol, Peter Sincák, Kana Ogawa, Pitoyo Hartono:
Explainable Classifier Supporting Decision-making for Breast Cancer Diagnosis from Histopathological Images. 1-8 - Payel Sadhukhan:
Learning Minority Class prior to Minority Oversampling. 1-8 - Haoye Tian, Haini Cai, Junhao Wen, Shun Li, Yingqiao Li:
A Music Recommendation System Based on logistic regression and eXtreme Gradient Boosting. 1-6 - Kai Lei, Qiuai Fu, Yuzhi Liang:
Multi-Task Learning with Capsule Networks. 1-8 - Hang Miao, Ruifang Liu, Sheng Gao:
A Multiple Granularity Co-Reasoning Model for Multi-choice Reading Comprehension. 1-7 - Andrew Skabar:
Restricted Boltzmann Machines: an Eigencentrality-based Approach. 1-8 - Qiang Rao, Bing Yu, Kun He, Bailan Feng:
Regularization and Iterative Initialization of Softmax for Fast Training of Convolutional Neural Networks. 1-8 - Rahul Paul, Stephan K. Chalup:
Estimating Betti Numbers Using Deep Learning. 1-7 - Peng Zhang, Qiang Wu, Jingsong Xu:
VN-GAN: Identity-preserved Variation Normalizing GAN for Gait Recognition. 1-8 - Juncheng Ding, Wei Jin:
MDLDA: A New Multi-Dimension Topic Approach. 1-8 - Zhihuan Yan, Rong Peng, Yaqian Wang, Weidong Li:
Enhance knowledge graph embedding via fake triples. 1-7 - Zi Long, Lianzhi Tan, Shengping Zhou, Chaoyang He, Xin Liu:
Collecting Indicators of Compromise from Unstructured Text of Cybersecurity Articles using Neural-Based Sequence Labelling. 1-8 - Muhammad Hassan, Yutong Liu, Linghe Kong, Ziming Wang, Guihai Chen:
GANemotion: Increase Vitality of Characters in Videos by Generative Adversary Networks. 1-8 - Cosimo Ieracitano, Nadia Mammone, Alessia Bramanti, Silvia Marino, Amir Hussain, Francesco Carlo Morabito:
A Time-Frequency based Machine Learning System for Brain States Classification via EEG Signal Processing. 1-8 - Yonghua Yin, Erol Gelenbe:
Non-negative Autoencoder with Simplified Random Neural Network. 1-6 - Yuening Li, Ninghao Liu, Jundong Li, Mengnan Du, Xia Hu:
Deep Structured Cross-Modal Anomaly Detection. 1-8 - Chanachok Chokwitthaya, Edward Collier, Yimin Zhu, Supratik Mukhopadhyay:
Improving Prediction Accuracy in Building Performance Models Using Generative Adversarial Networks (GANs). 1-9 - Lucas Tabelini Torres, Thiago M. Paixão, Rodrigo Ferreira Berriel, Alberto F. De Souza, Claudine Badue, Nicu Sebe, Thiago Oliveira-Santos:
Effortless Deep Training for Traffic Sign Detection Using Templates and Arbitrary Natural Images. 1-7 - Revanth Reddy, Rahul Ramesh, Ameet Deshpande, Mitesh M. Khapra:
FigureNet : A Deep Learning model for Question-Answering on Scientific Plots. 1-8 - Shahan Ali Memon, Wenbo Zhao, Bhiksha Raj, Rita Singh:
Neural Regression Trees. 1-8 - Fengwen Chen, Shirui Pan, Jing Jiang, Huan Huo, Guodong Long:
DAGCN: Dual Attention Graph Convolutional Networks. 1-8 - Qiuqing Jin, Liming Wang:
Intranet User-Level Security Traffic Management with Deep Reinforcement Learning. 1-8 - Lele Cao:
Fine-Grained Road Mining from Satellite Images with Bilateral Xception and DeepLab. 1-8 - Tingting Wang, Jie Zhou, Qinmin Vivian Hu, Liang He:
Aspect-level Sentiment Classification with Reinforcement Learning. 1-8 - Amrutha Machireddy, Shayan Srinivasa Garani:
Guessing the Code: Learning Encoding Mappings Using the Back Propagation Algorithm. 1-8 - Zejiang Hou, Sun-Yuan Kung:
A Kernel Discriminant Information Approach to Non-linear Feature Selection. 1-10 - Pedram Agand, Mahdi Aliyari Shoorehdeli:
Adaptive Model Learning of Neural Networks with UUB Stability for Robot Dynamic Estimation. 1-6 - Heriberto Cuayáhuitl, Donghyeon Lee, Seonghan Ryu, Sungja Choi, Inchul Hwang, Jihie Kim:
Deep Reinforcement Learning for Chatbots Using Clustered Actions and Human-Likeness Rewards. 1-8 - Yan Huang, Qiang Wu, Jingsong Xu, Yi Zhong:
Celebrities-ReID: A Benchmark for Clothes Variation in Long-Term Person Re-Identification. 1-8 - Meng Yang, Sutharshan Rajasegarar, Sarah M. Erfani, Christopher Leckie:
Deep Learning and One-class SVM based Anomalous Crowd Detection. 1-8 - Yuxuan Zhang, Senzhang Wang, Bing Chen, Jiannong Cao:
GCGAN: Generative Adversarial Nets with Graph CNN for Network-Scale Traffic Prediction. 1-8 - Yusuke Shido, Yasuaki Kobayashi, Akihiro Yamamoto, Atsushi Miyamoto, Tadayuki Matsumura:
Automatic Source Code Summarization with Extended Tree-LSTM. 1-8 - Athanasios Davvetas, Iraklis A. Klampanos, Vangelis Karkaletsis:
Evidence Transfer for Improving Clustering Tasks Using External Categorical Evidence. 1-8 - Renato Hidaka Torres, Orlando Ohashi, Gabriel Carvalho Garcia, Filipe A. S. Rocha, Héctor Azpúrua, Gustavo Pessin:
Exploiting Machine Learning Models to Avoid Texting While Driving. 1-8 - Jing Ya, Tingwen Liu, Panpan Zhang, Jinqiao Shi, Li Guo, Zhaojun Gu:
NeuralAS: Deep Word-Based Spoofed URLs Detection Against Strong Similar Samples. 1-7 - Chia-Ling Huang, Yan-Chih Shih, Chyh-Ming Lai, Vera Yuk Ying Chung, Wenbo Zhu, Wei-Chang Yeh, Xiangjian He:
Optimization of a Convolutional Neural Network Using a Hybrid Algorithm. 1-8 - Chunlin Xu, Zhiwei Lin, Hui Wang, Shengli Wu:
Multi-Level Compare-Aggregate Model for Text Matching. 1-7 - Zongjian Zhang, Yang Wang, Qiang Wu, Fang Chen:
Visual Relationship Attention for Image Captioning. 1-8 - Sandika Biswas, Sanjana Sinha, Kavya Gupta, Brojeshwar Bhowmick:
Lifting 2d Human Pose to 3d : A Weakly Supervised Approach. 1-9 - Bat-Amgalan Bat-Erdene, He Wang, K. Y. Michael Wong:
Modular Multilayer Neural Networks Integrate Multisensory Information Near-optimally. 1-6 - Arijit Ukil, Soma Bandyopadhyay, Arpan Pal:
DyReg-FResNet: Unsupervised Feature Space Amplified Dynamic Regularized Residual Network for Time Series Classification. 1-8 - Jefferson Tales Oliva, João Luís Garcia Rosa:
Epilepsy detection using multiclass classifier based on spectral features. 1-8 - Lusi Li, Haibo He, Jie Li, Guang Yang:
Adversarial Domain Adaptation via Category Transfer. 1-8 - Thy Nguyen, Tayo Obafemi-Ajayi:
Recurrent Network and Multi-arm Bandit Methods for Multi-task Learning without Task Specification. 1-8 - Malte Schilling:
Hierarchical Dual Quaternion-Based Recurrent Neural Network as a Flexible Internal Body Model. 1-8 - Cong Chen, Kim Batselier, Ching-Yun Ko, Ngai Wong:
A Support Tensor Train Machine. 1-8 - Wei Shiung Liew, Chu Kiong Loo, Vadym Gryshchuk, Cornelius Weber, Stefan Wermter:
Effect of Pruning on Catastrophic Forgetting in Growing Dual Memory Networks. 1-8 - Chao Li, Qian Zhang, Ziping Zhao, Li Gu, Nicholas Cummins, Björn W. Schuller:
Analysing and Inferring of Intimacy Based on fNIRS Signals and Peripheral Physiological Signals. 1-8 - Ruishuang Wang, Zhao Li, Jian Cao, Tong Chen, Lei Wang:
Convolutional Recurrent Neural Networks for Text Classification. 1-6 - Khuong N. Nguyen, Jaewook Yoo, Yoonsuck Choe:
Speeding Up Affordance Learning for Tool Use, Using Proprioceptive and Kinesthetic Inputs. 1-8 - Rong Liu, Chunyan Xu, Tong Zhang, Wenting Zhao, Zhen Cui, Jian Yang:
Si-GCN: Structure-induced Graph Convolution Network for Skeleton-based Action Recognition. 1-8 - Sanjukta Krishnagopal, Garrett E. Katz, Michelle Girvan, James A. Reggia:
Encoding of a Chaotic Attractor in a Reservoir Computer: A Directional Fiber Investigation. 1-8 - Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh:
RNN-based speech synthesis using a continuous sinusoidal model. 1-8 - Xiaowei Gu, Plamen P. Angelov:
Deep Rule-Based Aerial Scene Classifier using High-Level Ensemble Feature Descriptor. 1-7 - Yin-Dong Zheng, Yun-Tao Ma, Ruo-Ze Liu, Tong Lu:
A Novel Group-Aware Pruning Method for Few-shot Learning. 1-7 - Hamed Fatemi Langroudi, Cory E. Merkel, Humza Syed, Dhireesha Kudithipudi:
Exploiting Randomness in Deep Learning Algorithms. 1-8 - Debasmit Das, C. S. George Lee:
Zero-shot Image Recognition Using Relational Matching, Adaptation and Calibration. 1-8 - Longxuan Ma, Lei Zhang:
Multi-perspective Feature Generation Based on Attention Mechanism. 1-8 - Vinod Kumar Kurmi, Vinay P. Namboodiri:
Looking back at Labels: A Class based Domain Adaptation Technique. 1-8 - Dipendra Jha, Aaron Gilad Kusne, Reda Al-Bahrani, Nam Nguyen, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
Peak Area Detection Network for Directly Learning Phase Regions from Raw X-ray Diffraction Patterns. 1-8 - Alexander Glandon, Lasitha Vidyaratne, Nasrin Sadeghzadehyazdi, Nibir K. Dhar, Jide O. Familoni, Scott T. Acton, Khan M. Iftekharuddin:
3D Skeleton Estimation and Human Identity Recognition Using Lidar Full Motion Video. 1-8
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