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ORCIDDavid Macedo
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2020 – today
- 2024
[j7]David Macêdo, Cleber Zanchettin
, Teresa Bernarda Ludermir:
Sigmoidal learning rate optimizer for deep neural network training using a two-phase adaptation approach. Appl. Soft Comput. 167: 112264 (2024)- 2023
- [c25]Hidelberg Oliveira Albuquerque, Ellen Souza, Adriano L. I. Oliveira, David Macêdo, Cleber Zanchettin, Douglas Vitório, Nádia Félix F. da Silva, André C. P. L. F. de Carvalho:
On the Assessment of Deep Learning Models for Named Entity Recognition of Brazilian Legal Documents. EPIA (2) 2023: 93-104 - [c24]Evair Cunha, David Macêdo, Cleber Zanchettin:
Improving small object detection with DETRAug. IJCNN 2023: 1-8 - [c23]Lucas de Lima Nogueira, David Macêdo, Cleber Zanchettin, Fernando M. P. Neto, Adriano Lorena Inácio de Oliveira:
Learning What, Where and Which to Transfer. IJCNN 2023: 1-8 - 2022
- [j6]Angel Ayala, Bruno José Torres Fernandes, Francisco Cruz, David Macêdo, Cleber Zanchettin:
Convolution Optimization in Fire Classification. IEEE Access 10: 23642-23658 (2022) - [j5]Mouglas Eugênio Nasário Gomes, David Macêdo, Cleber Zanchettin, Paulo Salgado Gomes de Mattos Neto, Adriano L. I. Oliveira:
Multi-human Fall Detection and Localization in Videos. Comput. Vis. Image Underst. 220: 103442 (2022) - [j4]Jayr Alencar Pereira, David Macêdo, Cleber Zanchettin, Adriano Lorena Inácio de Oliveira, Robson do Nascimento Fidalgo:
PictoBERT: Transformers for next pictogram prediction. Expert Syst. Appl. 202: 117231 (2022) - [j3]David Macêdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Bernarda Ludermir:
Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2350-2364 (2022) - [c22]David Macêdo, Pedro Dreyer, Teresa Bernarda Ludermir, Cleber Zanchettin:
Training Aware Sigmoidal Optimization. BRACIS (2) 2022: 123-138 - [c21]Levi S. Ramos Júnior, David Macêdo, Adriano L. I. Oliveira, Cleber Zanchettin:
Detecting Malicious HTTP Requests Without Log Parser Using RequestBERT-BiLSTM. BRACIS (2) 2022: 328-342 - [c20]Diógenes Wallis de França Silva, João Paulo Silva do Monte Lima, David Macêdo, Cleber Zanchettin, Diego Gabriel Francis Thomas, Hideaki Uchiyama, Veronica Teichrieb:
Unsupervised Multi-view Multi-person 3D Pose Estimation Using Reprojection Error. ICANN (3) 2022: 482-494 - [c19]Levi S. Ramos Júnior, David Macêdo, Adriano L. I. Oliveira, Cleber Zanchettin:
LogBERT-BiLSTM: Detecting Malicious Web Requests. ICANN (3) 2022: 704-715 - [c18]Andersson A. Da Silva, Amanda S. Xavier, David Macêdo, Cleber Zanchettin, Adriano L. I. Oliveira:
An Adapted GRASP Approach for Hyperparameter Search on Deep Networks Applied to Tabular Data. IJCNN 2022: 1-8 - [i17]David Macêdo, Cleber Zanchettin, Teresa Bernarda Ludermir:
Distinction Maximization Loss: Efficiently Improving Classification Accuracy, Uncertainty Estimation, and Out-of-Distribution Detection Simply Replacing the Loss and Calibrating. CoRR abs/2205.05874 (2022) - [i16]David Macêdo:
Towards Robust Deep Learning using Entropic Losses. CoRR abs/2208.03566 (2022) - 2021
- [j2]Paulo Freitas de Araujo-Filho, Georges Kaddoum, Divanilson R. Campelo, Aline Gondim Santos, David Macêdo, Cleber Zanchettin:
Intrusion Detection for Cyber-Physical Systems Using Generative Adversarial Networks in Fog Environment. IEEE Internet Things J. 8(8): 6247-6256 (2021) - [c17]David Macêdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Bernarda Ludermir:
Entropic Out-of-Distribution Detection. IJCNN 2021: 1-8 - [c16]Julio Cezar Soares Silva, David Macêdo, Cleber Zanchettin, Adriano L. I. Oliveira, Adiel Teixeira de Almeida Filho:
Multi-Class Mobile Money Service Financial Fraud Detection by Integrating Supervised Learning with Adversarial Autoencoders. IJCNN 2021: 1-7 - [c15]Paulo M. Vasconcelos, David Macêdo, Leandro M. Almeida, Reginaldo G. L. Neto, Clayton A. Benevides, Cleber Zanchettin, Adriano L. I. Oliveira:
Identification of Microorganism Colony Odor Signature using InceptionTime. SMC 2021: 60-65 - [i15]David Macêdo, Pedro Dreyer, Teresa Bernarda Ludermir, Cleber Zanchettin:
Training Aware Sigmoidal Optimizer. CoRR abs/2102.08716 (2021) - [i14]David Macêdo, Teresa Bernarda Ludermir:
Improving Entropic Out-of-Distribution Detection using Isometric Distances and the Minimum Distance Score. CoRR abs/2105.14399 (2021) - [i13]Willams L. Costa, David Macêdo, Cleber Zanchettin, Lucas Silva Figueiredo, Veronica Teichrieb:
Multi-Cue Adaptive Emotion Recognition Network. CoRR abs/2111.02273 (2021) - 2020
- [c14]Angel Ayala, Bruno J. T. Fernandes, Francisco Cruz, David Macêdo, Adriano L. I. Oliveira, Cleber Zanchettin:
KutralNet: A Portable Deep Learning Model for Fire Recognition. IJCNN 2020: 1-8 - [c13]Heitor Felix, Walber M. Rodrigues, David Macêdo, Francisco Simões, Adriano L. I. Oliveira, Veronica Teichrieb, Cleber Zanchettin:
Squeezed Deep 6DoF Object Detection using Knowledge Distillation. IJCNN 2020: 1-7 - [c12]Ricardo Batista das Neves Junior, Luiz Felipe Verçosa, David Macedo, Byron Leite Dantas Bezerra, Cleber Zanchettin:
A Fast Fully Octave Convolutional Neural Network for Document Image Segmentation. IJCNN 2020: 1-6 - [c11]Johny Moreira, Chaina Oliveira, David Macêdo, Cleber Zanchettin, Luciano Barbosa:
Distantly-Supervised Neural Relation Extraction with Side Information using BERT. IJCNN 2020: 1-7 - [c10]João Antônio Chagas Nunes, David Macedo, Cleber Zanchettin:
AM-MobileNet1D: A Portable Model for Speaker Recognition. IJCNN 2020: 1-8 - [i12]Heitor Felix, Walber M. Rodrigues, David Macêdo, Francisco Simões, Adriano L. I. Oliveira, Veronica Teichrieb, Cleber Zanchettin:
Squeezed Deep 6DoF Object Detection Using Knowledge Distillation. CoRR abs/2003.13586 (2020) - [i11]João Antônio Chagas Nunes, David Macêdo, Cleber Zanchettin:
AM-MobileNet1D: A Portable Model for Speaker Recognition. CoRR abs/2004.00132 (2020) - [i10]Ricardo Batista das Neves Junior, Luiz Felipe Verçosa, David Macêdo, Byron Leite Dantas Bezerra, Cleber Zanchettin:
A Fast Fully Octave Convolutional Neural Network for Document Image Segmentation. CoRR abs/2004.01317 (2020) - [i9]Johny Moreira, Chaina Oliveira, David Macedo, Cleber Zanchettin, Luciano Barbosa:
Distantly-Supervised Neural Relation Extraction with Side Information using BERT. CoRR abs/2004.14443 (2020) - [i8]David Macêdo, Teresa Bernarda Ludermir:
Neural Networks Out-of-Distribution Detection: Hyperparameter-Free Isotropic Maximization Loss, The Principle of Maximum Entropy, Cold Training, and Branched Inferences. CoRR abs/2006.04005 (2020) - [i7]Angel Ayala, Bruno J. T. Fernandes, Francisco Cruz, David Macêdo, Adriano L. I. Oliveira, Cleber Zanchettin:
KutralNet: A Portable Deep Learning Model for Fire Recognition. CoRR abs/2008.06866 (2020)
2010 – 2019
- 2019
- [j1]David Macêdo, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Bernarda Ludermir:
Enhancing batch normalized convolutional networks using displaced rectifier linear units: A systematic comparative study. Expert Syst. Appl. 124: 271-281 (2019) - [c9]Andréa B. Duque, Luã Lázaro J. Santos, David Macêdo, Cleber Zanchettin:
Squeezed Very Deep Convolutional Neural Networks for Text Classification. ICANN (1) 2019: 193-207 - [c8]Jader Abreu, Luis Fred, David Macêdo, Cleber Zanchettin:
Hierarchical Attentional Hybrid Neural Networks for Document Classification. ICANN (Workshop) 2019: 396-402 - [c7]Cleison Correia de Amorim, David Macêdo, Cleber Zanchettin:
Spatial-Temporal Graph Convolutional Networks for Sign Language Recognition. ICANN (Workshop) 2019: 646-657 - [c6]Dayvid Castro, Danilo Pereira, Cleber Zanchettin, David Macêdo, Byron L. D. Bezerra:
Towards Optimizing Convolutional Neural Networks for Robotic Surgery Skill Evaluation. IJCNN 2019: 1-8 - [c5]Jefferson L. P. Lima, David Macêdo, Cleber Zanchettin:
Heartbeat Anomaly Detection using Adversarial Oversampling. IJCNN 2019: 1-7 - [c4]João Antônio Chagas Nunes, David Macêdo, Cleber Zanchettin:
Additive Margin SincNet for Speaker Recognition. IJCNN 2019: 1-5 - [c3]Flávio Arthur O. Santos, Karina L. Ponce-Guevara, David Macêdo, Cleber Zanchettin:
Improving Universal Language Model Fine-Tuning using Attention Mechanism. IJCNN 2019: 1-7 - [i6]Jader Abreu, Luis Fred, David Macêdo, Cleber Zanchettin:
Hierarchical Attentional Hybrid Neural Networks for Document Classification. CoRR abs/1901.06610 (2019) - [i5]Andréa B. Duque, Luã Lázaro J. Santos, David Macêdo, Cleber Zanchettin:
Squeezed Very Deep Convolutional Neural Networks for Text Classification. CoRR abs/1901.09821 (2019) - [i4]Jefferson L. P. Lima, David Macêdo, Cleber Zanchettin:
Heartbeat Anomaly Detection using Adversarial Oversampling. CoRR abs/1901.09972 (2019) - [i3]João Antônio Chagas Nunes, David Macêdo, Cleber Zanchettin:
Additive Margin SincNet for Speaker Recognition. CoRR abs/1901.10826 (2019) - [i2]Cleison Correia de Amorim, David Macêdo, Cleber Zanchettin:
Spatial-Temporal Graph Convolutional Networks for Sign Language Recognition. CoRR abs/1901.11164 (2019) - [i1]David Macêdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Alain Tapp, Teresa Bernarda Ludermir:
Distinction Maximization Loss: Fast, Scalable, Turnkey, and Native Neural Networks Out-of-Distribution Detection simply by Replacing the SoftMax Loss. CoRR abs/1908.05569 (2019) - 2018
- [c2]Luiz Antonio de Oliveira Junior, Heitor R. Medeiros, David Macedo, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Bernarda Ludermir:
SegNetRes-CRF: A Deep Convolutional Encoder-Decoder Architecture for Semantic Image Segmentation. IJCNN 2018: 1-6 - [c1]Aline Gondim Santos, Camila Oliveira de Souza, Cleber Zanchettin, David Macedo, Adriano L. I. Oliveira, Teresa Bernarda Ludermir:
Reducing SqueezeNet Storage Size with Depthwise Separable Convolutions. IJCNN 2018: 1-6
Coauthor Index
aka: Adriano L. I. Oliveira
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last updated on 2024-11-07 20:35 CET by the dblp team
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