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ORCIDErcan E. Kuruoglu
Ercan Engin Kuruoglu
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2020 – today
- 2025
[j77]Xueqiong Yuan
, Jipeng Li, Ercan Engin Kuruoglu:
Robustness enhancement in neural networks with alpha-stable training noise. Digit. Signal Process. 156: 104778 (2025)- 2024
- [j76]Suchanun Piriyasatit, Ercan Engin Kuruoglu, Mehmet Sinan Ozeren:
Time-Varying GPS Displacement Network Modeling by Sequential Monte Carlo. Entropy 26(4): 342 (2024) - [j75]Zidi Gao, Ercan Engin Kuruoglu:
Attention based hybrid parametric and neural network models for non-stationary time series prediction. Expert Syst. J. Knowl. Eng. 41(2) (2024) - [j74]Keren Artiaga, Yang Li, Ercan Engin Kuruoglu, Wai Kin (Victor) Chan:
Cross-Sign Language Transfer Learning Using Domain Adaptation with Multi-scale Temporal Alignment. Multim. Tools Appl. 83(12): 37025-37051 (2024) - [j73]Hongkang Zhang, Shao-Lun Huang, Ercan Engin Kuruoglu:
HGR Correlation Pooling Fusion Framework for Recognition and Classification in Multimodal Remote Sensing Data. Remote. Sens. 16(10): 1708 (2024) - [j72]Hongkang Zhang, Shao-Lun Huang, Ercan Engin Kuruoglu:
MHFNet: An Improved HGR Multimodal Network for Informative Correlation Fusion in Remote Sensing Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 15052-15066 (2024) - [j71]Naiqi Li, Zhikang Xia, Yiming Li, Ercan E. Kuruoglu, Yong Jiang, Shu-Tao Xia:
Portfolio Selection via Graph-Aware Gaussian Processes With Generalized Gaussian Likelihood. IEEE Trans. Artif. Intell. 5(2): 505-515 (2024) - [j70]Naiqi Li, Wenjie Li, Yinghua Gao, Yiming Li, Jigang Bao, Ercan E. Kuruoglu, Yong Jiang, Shu-Tao Xia:
Node-Level Graph Regression With Deep Gaussian Process Models. IEEE Trans. Artif. Intell. 5(6): 3257-3269 (2024) - [j69]Lili Lin, Siyu Bai, Mengjia Qu, Xuehui Wei, Luyao Wang, Feifan Wu, Biao Liu, Wenhui Zhou, Ercan Engin Kuruoglu:
Transformer-Based Light Field Geometry Learning for No-Reference Light Field Image Quality Assessment. IEEE Trans. Broadcast. 70(2): 597-606 (2024) - [j68]Mutong Li, Ercan E. Kuruoglu:
Complex Isotropic α-Stable-Rician Model for Heterogeneous SAR Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-9 (2024) - [j67]Wenhui Zhou, Lili Lin, Yongjie Hong, Qiujian Li, Xingfa Shen, Ercan Engin Kuruoglu:
Beyond Photometric Consistency: Geometry-Based Occlusion-Aware Unsupervised Light Field Disparity Estimation. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15660-15674 (2024) - [c58]Hengxi Zhang, Zhendong Shi, Yuanquan Hu, Wenbo Ding, Ercan E. Kuruoglu, Xiao-Ping Zhang:
Optimizing Trading Strategies in Quantitative Markets Using Multi-Agent Reinforcement Learning. ICASSP 2024: 136-140 - [c57]Fengfan Zhao, Ercan Engin Kuruoglu:
Sequential Monte Carlo Graph Convolutional Network for Dynamic Brain Connectivity. ICASSP 2024: 7535-7539 - [c56]Dongdong Nian, Ercan Engin Kuruoglu:
Graph Structure Optimization using Simulated Annealing. IJCNN 2024: 1-8 - [c55]Chi Xu, Mengen Luo, Ercan Engin Kuruoglu:
Trustworthy Personalized Bayesian Federated Learning via Posterior Fine-Tune. IJCNN 2024: 1-8 - [i19]Yi Yan, Changran Peng, Ercan Engin Kuruoglu:
Adaptive Least Mean Squares Graph Neural Networks and Online Graph Signal Estimation. CoRR abs/2401.15304 (2024) - [i18]Mengen Luo, Ercan Engin Kuruoglu:
Bayesian Neural Network For Personalized Federated Learning Parameter Selection. CoRR abs/2402.16091 (2024) - [i17]Mengen Luo, Chi Xu, Ercan Engin Kuruoglu:
Trustworthy Personalized Bayesian Federated Learning via Posterior Fine-Tune. CoRR abs/2402.16911 (2024) - [i16]Yi Yan, Ercan E. Kuruoglu:
Binarized Simplicial Convolutional Neural Networks. CoRR abs/2405.04098 (2024) - [i15]Changran Peng, Yi Yan, Ercan E. Kuruoglu:
Adaptive Least Mean pth Power Graph Neural Networks. CoRR abs/2405.04111 (2024) - [i14]Menghao Waiyan William Zhu, Ercan Engin Kuruoglu:
On Sequential Loss Approximation for Continual Learning. CoRR abs/2405.16498 (2024) - 2023
- [j66]Hengyuan Miao, Ercan Engin Kuruoglu, Tao Xu:
Non-homogeneous Poisson and renewal processes as spatial models for cancer mutation. Comput. Biol. Chem. 106: 107922 (2023) - [j65]Xiao Peng Li, Yi Yan, Ercan Engin Kuruoglu, Hing Cheung So, Yuan Chen:
Robust Recovery for Graph Signal via $\ell _{0}$-Norm Regularization. IEEE Signal Process. Lett. 30: 1322-1326 (2023) - [j64]Junping Hong, Yi Yan, Ercan Engin Kuruoglu, Wai Kin Chan:
Multivariate Time Series Forecasting With GARCH Models on Graphs. IEEE Trans. Signal Inf. Process. over Networks 9: 557-568 (2023) - [j63]Yi Yan, Radwa Adel, Ercan Engin Kuruoglu:
Graph Normalized-LMP Algorithm for Signal Estimation Under Impulsive Noise. J. Signal Process. Syst. 95(1): 25-36 (2023) - [c54]Zhendong Shi, Ercan E. Kuruoglu, Xiaoli Wei:
Thompson Sampling on Asymmetric a-stable Bandits. ICAART (3) 2023: 434-441 - [c53]Mutong Li, Ercan E. Kuruoglu:
Fast Cauchy-Rician Modelling of SAR Images With Method of Algebraic Moments Estimator. ICASSP Workshops 2023: 1-5 - [c52]Hanbing Liu, Yanru Wu, Yang Liu, Ercan E. Kuruoglu, Xuan Zhang:
SDG-L: A Semiparametric Deep Gaussian Process based Framework for Battery Capacity Prediction. ICASSP 2023: 1-5 - [i13]Hengxi Zhang, Zhendong Shi, Yuanquan Hu, Wenbo Ding, Ercan E. Kuruoglu, Xiao-Ping Zhang:
Strategic Trading in Quantitative Markets through Multi-Agent Reinforcement Learning. CoRR abs/2303.11959 (2023) - [i12]Zhendong Shi, Xiaoli Wei, Ercan E. Kuruoglu:
From Bandits Model to Deep Deterministic Policy Gradient, Reinforcement Learning with Contextual Information. CoRR abs/2310.00642 (2023) - [i11]Yi Yan, Ercan Engin Kuruoglu:
Online Signal Estimation on the Graph Edges via Line Graph Transformation. CoRR abs/2311.00656 (2023) - [i10]Xueqiong Yuan, Jipeng Li, Ercan Engin Kuruoglu:
Robustness Enhancement in Neural Networks with Alpha-Stable Training Noise. CoRR abs/2311.10803 (2023) - [i9]Junping Hong, Ercan Engin Kuruoglu:
Bayesian Neural Networks: A Min-Max Game Framework. CoRR abs/2311.11126 (2023) - 2022
- [j62]Chun Lin Kuo, Ercan Engin Kuruoglu, Wai Kin Victor Chan:
Neural Network Structure Optimization by Simulated Annealing. Entropy 24(3): 348 (2022) - [j61]Lili Lin, Qiujian Li, Bin Gao, Yuxiang Yan, Wenhui Zhou, Ercan Engin Kuruoglu:
Unsupervised learning of light field depth estimation with spatial and angular consistencies. Neurocomputing 501: 113-122 (2022) - [j60]Oktay Karakus, Ercan E. Kuruoglu, Alin Achim, Mustafa A. Altinkaya:
Cauchy-Rician Model for Backscattering in Urban SAR Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j59]Koray Kayabol, Ensar Burak Aytekin, Sertac Arisoy, Ercan Engin Kuruoglu:
Skewed t-Distribution for Hyperspectral Anomaly Detection Based on Autoencoder. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j58]Lili Lin, Hong Chen, Ercan Engin Kuruoglu, Wenhui Zhou:
Robust structural similarity index measure for images with non-Gaussian distortions. Pattern Recognit. Lett. 163: 10-16 (2022) - [j57]Yi Yan, Ercan E. Kuruoglu, Mustafa A. Altinkaya:
Adaptive sign algorithm for graph signal processing. Signal Process. 200: 108662 (2022) - [j56]Oktay Karakus, Ercan E. Kuruoglu, Alin Achim:
A Generalized Gaussian Extension to the Rician Distribution for SAR Image Modeling. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [c51]Zifeng Wang, Shao-Lun Huang, Ercan Engin Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng:
PAC-Bayes Information Bottleneck. ICLR 2022 - [c50]Koray Kayabol, Ensar Burak Aytekin, Sertaç Arisoy, Ercan Engin Kuruoglu:
Hyperspectral Anomaly Detection with Multivariate Skewed t Background Model. SIU 2022: 1-4 - [i8]Yi Yan, Radwa Adel, Ercan Engin Kuruoglu:
Graph Normalized-LMP Algorithm for Signal Estimation Under Impulsive Noise. CoRR abs/2203.00320 (2022) - [i7]Zhendong Shi, Ercan E. Kuruoglu, Xiaoli Wei:
Thompson Sampling on Asymmetric α-Stable Bandits. CoRR abs/2203.10214 (2022) - [i6]Yi Yan, Tian Xie, Ercan E. Kuruoglu:
Joint online estimation of multi-order graph topological signals. CoRR abs/2211.06533 (2022) - 2021
- [j55]Pierfrancesco Ambrosi, Mauro Costagli, Ercan E. Kuruoglu, Laura Biagi, Guido Buonincontri, Michela Tosetti:
Modeling brain connectivity dynamics in functional magnetic resonance imaging via particle filtering. Brain Informatics 8(1): 19 (2021) - [j54]Ercan E. Kuruoglu:
30th anniversary of Digital Signal Processing: a Review Journal. Digit. Signal Process. 108: 102931 (2021) - [j53]Ercan E. Kuruoglu:
30th Anniversary Special Issue on Future Signal Processing. Digit. Signal Process. 119: 103295 (2021) - [j52]Ercan Engin Kuruoglu:
Letter from the Editor: While I weigh the anchor: Editor's farewell. Digit. Signal Process. 119: 103296 (2021) - [j51]Wenhui Zhou, Jiangwei Shi, Yongjie Hong, Lili Lin, Ercan Engin Kuruoglu:
Robust dense light field reconstruction from sparse noisy sampling. Signal Process. 186: 108121 (2021) - [c49]Yicong Li, Calvin Chan, Yang Li, Ercan Engin Kuruoglu:
How Does Policy Stringency Affect the Spread of COVID-19 Pandemic? A Country Level Study. EUSIPCO 2021: 1965-1969 - [c48]Bunchalit Eua-Arporn, Shao-Lun Huang, Ercan Engin Kuruoglu:
Enhancing Neural Network Based Hybrid Learning with Empirical Wavelet Transform for Time Series Forecasting. ICTAI 2021: 386-390 - [c47]Zidi Gao, Yiwen He, Ercan Engin Kuruoglu:
A Hybrid Model Integrating LSTM and Garch for Bitcoin Price Prediction. MLSP 2021: 1-6 - [c46]Yi Yan, Radwa Adel, Ercan E. Kuruoglu:
Adaptive Normalized LMP Estimation for Graph Signal Processing. MLSP 2021: 1-6 - [i5]Zifeng Wang, Shao-Lun Huang, Ercan E. Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng:
PAC-Bayes Information Bottleneck. CoRR abs/2109.14509 (2021) - [i4]Ercan Engin Kuruoglu, Yang Li:
Modelling Time-Varying Epidemiological Parameters for COVID-19. ERCIM News 2021(124) (2021) - 2020
- [j50]Oktay Karakus, Ercan E. Kuruoglu, Mustafa A. Altinkaya:
Modelling impulsive noise in indoor powerline communication systems. Signal Image Video Process. 14(8): 1655-1661 (2020) - [c45]Oktay Karakus, Ercan E. Kuruoglu, Alin Achim:
Modelling Sea Clutter In Sar Images Using Laplace-Rician Distribution. ICASSP 2020: 1454-1458 - [c44]Zifeng Wang, Xi Chen, Rui Wen, Shao-Lun Huang, Ercan E. Kuruoglu, Yefeng Zheng:
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback. NeurIPS 2020 - [i3]Zifeng Wang, Xi Chen, Rui Wen, Shao-Lun Huang, Ercan E. Kuruoglu, Yefeng Zheng:
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback. CoRR abs/2009.02623 (2020)
2010 – 2019
- 2019
- [j49]Oktay Karakus, Ercan E. Kuruoglu, Mustafa A. Altinkaya:
Generalized Bayesian Model Selection for Speckle on Remote Sensing Images. IEEE Trans. Image Process. 28(4): 1748-1758 (2019) - [j48]Ngoc Hung Nguyen, Kutluyil Dogançay, Ercan Engin Kuruoglu:
An Iteratively Reweighted Instrumental-Variable Estimator for Robust 3-D AOA Localization in Impulsive Noise. IEEE Trans. Signal Process. 67(18): 4795-4808 (2019) - [c43]Pierfrancesco Ambrosi, Mauro Costagli, Ercan E. Kuruoglu, Laura Biagi, Guido Buonincontri, Michela Tosetti:
Investigating Time-Varying Brain Connectivity with Functional Magnetic Resonance Imaging using Sequential Monte Carlo. EUSIPCO 2019: 1-5 - [c42]Vignesh Srinivasan, Ercan E. Kuruoglu, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima:
Black-Box Decision based Adversarial Attack with Symmetric α-stable Distribution. EUSIPCO 2019: 1-5 - [i2]Vignesh Srinivasan, Ercan E. Kuruoglu, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima:
Black-Box Decision based Adversarial Attack with Symmetric α-stable Distribution. CoRR abs/1904.05586 (2019) - 2018
- [j47]Zhaodi Wang, Menghan Hu, Ercan Engin Kuruoglu, Wenhan Zhu, Guangtao Zhai:
How Do Detected Objects Affect the Noise Distribution of Terahertz Security Images? IEEE Access 6: 41087-41092 (2018) - [j46]Oktay Karakus, Ercan E. Kuruoglu, Mustafa A. Altinkaya:
Beyond trans-dimensional RJMCMC with a case study in impulsive data modeling. Signal Process. 153: 396-410 (2018) - 2017
- [j45]Yuan Chen, Hing-Cheung So, Ercan Engin Kuruoglu, Xiao Long Yang:
Variance analysis of unbiased complex-valued ℓp-norm minimizer. Signal Process. 135: 17-25 (2017) - [j44]Oktay Karakus, Ercan E. Kuruoglu, Mustafa A. Altinkaya:
Bayesian Volterra system identification using reversible jump MCMC algorithm. Signal Process. 141: 125-136 (2017) - [c41]Oktay Karakus, Ercan E. Kuruoglu, Mustafa A. Altinkaya:
Nonlinear model selection for PARMA processes using RJMCMC. EUSIPCO 2017: 2056-2060 - 2016
- [j43]Navodit Misra, Ercan E. Kuruoglu:
Stable Graphical Models. J. Mach. Learn. Res. 17: 168:1-168:36 (2016) - [j42]Yuan Chen, Hing-Cheung So, Ercan Engin Kuruoglu:
Variance analysis of unbiased least ℓp-norm estimator in non-Gaussian noise. Signal Process. 122: 190-203 (2016) - [j41]Sergiy Ancherbak, Ercan E. Kuruoglu, Martin Vingron:
Time-Dependent Gene Network Modelling by Sequential Monte Carlo. IEEE ACM Trans. Comput. Biol. Bioinform. 13(6): 1183-1193 (2016) - [c40]Oktay Karakus, Ercan E. Kuruoglu, Mustafa A. Altinkaya:
Bayesian estimation of polynomial moving average models with unknown degree of nonlinearity. EUSIPCO 2016: 1543-1547 - 2015
- [j40]Ercan E. Kuruoglu, Joan Lasenby, A. Taylan Cemgil, Anil C. Kokaram, Robin D. Morris:
Special Issue in Honour of William J. (Bill) Fitzgerald. Digit. Signal Process. 47: 1-2 (2015) - [j39]Yuan Chen, Ercan E. Kuruoglu, Hing-Cheung So:
Optimum linear regression in additive Cauchy-Gaussian noise. Signal Process. 106: 312-318 (2015) - [c39]Oktay Karakus, Ercan E. Kuruoglu, Mustafa A. Altinkaya:
Estimation of the nonlinearity degree for polynomial autoregressiv processes with RJMCMC. EUSIPCO 2015: 953-957 - [c38]Oktay Karakus, Ercan E. Kuruoglu, Mustafa A. Altinkaya:
Long term wind speed prediction with polynomial autoregressive model. SIU 2015: 645-648 - 2014
- [j38]Jose M. Muiño, Ercan E. Kuruoglu, Peter F. Arndt:
Evidence of a cancer type-specific distribution for consecutive somatic mutation distances. Comput. Biol. Chem. 53: 79-83 (2014) - [c37]Patrizia Andronico, Salvatore Minutoli, Ercan E. Kuruoglu:
Understanding Elderly Needs for Designing a Digitally Extended Environment via Tablets. HCI (27) 2014: 284-287 - [c36]Yuan Chen, Ercan Engin Kuruoglu, Hing-Cheung So, Longting Huang, Wen-Qin Wang:
Density parameter estimation for additive Cauchy-Gaussian mixture. SSP 2014: 197-200 - [c35]Yuan Chen, Ercan Engin Kuruoglu, Hing-Cheung So:
Estimation under additive Cauchy-Gaussian noise using Markov chain Monte Carlo. SSP 2014: 336-339 - [i1]Navodit Misra, Ercan E. Kuruoglu:
Stable Graphical Models. CoRR abs/1404.4351 (2014) - 2013
- [j37]Ercan E. Kuruoglu, Fabian J. Theis:
Dependent component analysis. EURASIP J. Adv. Signal Process. 2013: 185 (2013) - [j36]Ruoqing Wang, Sufei Li, Ercan E. Kuruoglu:
A novel algorithm for image denoising based on unscented Kalman filtering. Int. J. Inf. Commun. Technol. 5(3/4): 343-353 (2013) - [j35]Renke Huang, Hao Zheng, Ercan E. Kuruoglu:
Time-varying ARMA stable process estimation using sequential Monte Carlo. Signal Image Video Process. 7(5): 951-958 (2013) - [c34]Cesar F. Caiafa, Ercan E. Kuruoglu:
Using Generic Order Moments for separation of dependent sources with linear conditional expectations. EUSIPCO 2013: 1-5 - 2012
- [j34]Ercan E. Kuruoglu:
Editorial. Digit. Signal Process. 22(2): 211 (2012) - [j33]Junying Zhang, Liuqing Peng, Xiaoxue Zhao, Ercan E. Kuruoglu:
Robust data clustering by learning multi-metric Lq-norm distances. Expert Syst. Appl. 39(1): 335-349 (2012) - [c33]Mustafa A. Altinkaya, Ercan E. Kuruoglu:
Modeling enzymatic reactions via chemical Langevin-Levy equation. SIU 2012: 1-4 - 2011
- [j32]Jia Wang, Ercan E. Kuruoglu, Tao Zhou, Ercan Engin Kuruocheckglu:
Alpha-Stable Channel Capacity. IEEE Commun. Lett. 15(10): 1107-1109 (2011) - [j31]Zhaowen Wang, Ercan E. Kuruoglu, Xiaokang Yang, Yi Xu, Thomas S. Huang:
Time Varying Dynamic Bayesian Network for Nonstationary Events Modeling and Online Inference. IEEE Trans. Signal Process. 59(4): 1553-1568 (2011) - [c32]Nikos Grammalidis, A. Enis Çetin, Kosmas Dimitropoulos, Filareti Tsalakanidou, Kivanç Köse, Osman Günay, Benedict Gouverneur, Dino Torri, Ercan E. Kuruoglu, Saverio Tozzi, Amel Benazza, Ferdaous Chaabane, Bilgin Kosucu, Cem Ersoy:
A multi-sensor network for the protection of cultural heritage. EUSIPCO 2011: 889-893 - [c31]Diego Herranz, Francisco Argüeso, Emanuele Salerno, Ercan E. Kuruoglu, Koray Kayabol:
Bayesian MAP detection of extragalactic point sources in microwave astronomical images. ICIP 2011: 1293-1296 - 2010
- [j30]Deniz Gençaga, Ercan E. Kuruoglu, Aysin Ertüzün:
Modeling non-Gaussian time-varying vector autoregressive processes by particle filtering. Multidimens. Syst. Signal Process. 21(1): 73 (2010) - [j29]Diego Salas-Gonzalez, Ercan E. Kuruoglu, Diego P. Ruiz:
Modelling with mixture of symmetric stable distributions using Gibbs sampling. Signal Process. 90(3): 774-783 (2010) - [j28]Ercan E. Kuruoglu:
Bayesian source separation for cosmology. IEEE Signal Process. Mag. 27(1): 43-54 (2010) - [j27]Koray Kayabol, Ercan E. Kuruoglu, José Luis Sanz, Bülent Sankur, Emanuele Salerno, Diego Herranz:
Adaptive Langevin Sampler for Separation of t-Distribution Modelled Astrophysical Maps. IEEE Trans. Image Process. 19(9): 2357-2368 (2010) - [c30]Simon P. Wilson, Ercan E. Kuruoglu, Alicia Quirós Carretero:
Bayesian factor analysis using Gaussian mixture sources, with application to separation of the cosmic microwave background. CIP 2010: 198-202 - [c29]Koray Kayabol, Emanuele Salerno, José Luis Sanz, Diego Herranz, Ercan E. Kuruoglu:
Blind source separation from multi-channel observations with channel-variant spatial resolutions. EUSIPCO 2010: 1077-1081 - [c28]Koray Kayabol, Ercan E. Kuruoglu:
Non-stationary t-Distribution Prior for Image Source Separation from Blurred Observations. LVA/ICA 2010: 506-513 - [c27]Ercan E. Kuruoglu:
Dependent Component Analysis for Cosmology: A Case Study. LVA/ICA 2010: 538-545 - [c26]Qing Yan, Ercan E. Kuruoglu, Xiaokang Yang, Yi Xu, Koray Kayabol:
Separating Reflections from a Single Image Using Spatial Smoothness and Structure Information. LVA/ICA 2010: 637-644 - [c25]Ercan E. Kuruoglu:
New challenges in source separation for cosmology images. ISSPA 2010: 824-829
2000 – 2009
- 2009
- [j26]Diego Salas-Gonzalez, Ercan E. Kuruoglu, Diego P. Ruiz:
A heavy-tailed empirical Bayes method for replicated microarray data. Comput. Stat. Data Anal. 53(5): 1535-1546 (2009) - [j25]Diego Salas-Gonzalez, Ercan E. Kuruoglu, Diego P. Ruiz:
Finite mixture of alpha-stable distributions. Digit. Signal Process. 19(2): 250-264 (2009) - [j24]Mehmet Tankut Özgen, Ercan E. Kuruoglu, Diego Herranz:
Astrophysical image separation by blind time-frequency source separation methods. Digit. Signal Process. 19(2): 360-369 (2009) - [j23]Koray Kayabol, Ercan E. Kuruoglu, Bülent Sankur:
Bayesian Separation of Images Modeled With MRFs Using MCMC. IEEE Trans. Image Process. 18(5): 982-994 (2009) - [c24]Diego Herranz, José Luis Sanz, Ercan E. Kuruoglu:
Filtering in the Time-Frequency domain for the detection of compact objects. EUSIPCO 2009: 2067-2071 - [c23]Zhaowen Wang, Ercan E. Kuruoglu, Xiaokang Yang, Yi Xu, Songyu Yu:
Event recognition with time varying Hidden Markov Model. ICASSP 2009: 1761-1764 - [c22]Koray Kayabol, Ercan E. Kuruoglu, Bülent Sankur, Emanuele Salerno, Luigi Bedini:
Fast MCMC separation for MRF modelled astrophysical components. ICIP 2009: 2769-2772 - [c21]Baijie Wang, Ercan E. Kuruoglu, Junying Zhang:
ICA by Maximizing Non-stability. ICA 2009: 179-186 - [c20]Koray Kayabol, Ercan E. Kuruoglu, Bülent Sankur:
Image Source Separation Using Color Channel Dependencies. ICA 2009: 499-506 - 2008
- [j22]Deniz Gençaga, Aysin Ertüzün, Ercan E. Kuruoglu:
Modeling of non-stationary autoregressive alpha-stable processes by particle filters. Digit. Signal Process. 18(3): 465-478 (2008) - [j21]Amir Leshem, Julian Christou, Brian D. Jeffs, Ercan E. Kuruoglu, Alle-Jan van der Veen:
Introduction to the Issue on Signal Processing for Space Research and Astronomy. IEEE J. Sel. Top. Signal Process. 2(5): 609-612 (2008) - [j20]Simon P. Wilson, Ercan E. Kuruoglu, Emanuele Salerno:
Fully Bayesian Source Separation of Astrophysical Images Modelled by Mixture of Gaussians. IEEE J. Sel. Top. Signal Process. 2(5): 685-696 (2008) - [j19]Deniz Gençaga, Ercan E. Kuruoglu, Aysin Ertüzün, Sinan Yildirim:
Estimation of time-varying AR SalphaS processes using Gibbs sampling. Signal Process. 88(10): 2564-2572 (2008) - [c19]Koray Kayabol, Ercan E. Kuruoglu, Bülent Sankur:
Image separation using iterated posterior point estimation. EUSIPCO 2008: 1-5 - [c18]Onay Urfalioglu, A. Enis Çetin, Ercan E. Kuruoglu:
Levy walk evolution for global optimization. GECCO 2008: 537-538 - [c17]Onay Urfalioglu, Ercan E. Kuruoglu, A. Enis Çetin:
Framework for online superimposed event detection by sequential Monte Carlo methods. ICASSP 2008: 2125-2128 - 2007
- [j18]Cesar F. Caiafa, Araceli N. Proto, Ercan E. Kuruoglu:
Long correlation Gaussian random fields: Parameter estimation and noise reduction. Digit. Signal Process. 17(4): 819-835 (2007) - [j17]Ercan E. Kuruoglu, Kevin H. Knuth:
Special issue on Bayesian source separation. Digit. Signal Process. 17(5): 855-857 (2007) - [j16]Mauro Costagli, Ercan E. Kuruoglu:
Image separation using particle filters. Digit. Signal Process. 17(5): 935-946 (2007) - [j15]Alin Achim, Ercan E. Kuruoglu, Anastasios Bezerianos, Panagiotis Tsakalides:
Comments on "A closed-form nonparametric Bayesian estimator in the wavelet domain of images using an approximate alpha-stable prior". Pattern Recognit. Lett. 28(13): 1845-1847 (2007) - [c16]Koray Kayabol, Bülent Sankur, Ercan E. Kuruoglu:
Source separation in images via MRFS with variational approximation. EUSIPCO 2007: 423-427 - [p1]Vitaly Schetinin, Valentina V. Zharkova, Anatoly Brazhnikov, Sergei I. Zharkov, Emanuele Salerno, Luigi Bedini, Ercan E. Kuruoglu, Anna Tonazzini, Damjan Zazula, Boris Cigale, Hiroyuki Yoshida:
Advanced Feature Recognition and Classification Using Artificial Intelligence Paradigms. Artificial Intelligence in Recognition and Classification of Astrophysical and Medical Images 2007: 151-338 - 2006
- [j14]Alin Achim, Ercan E. Kuruoglu, Josiane Zerubia:
SAR image filtering based on the heavy-tailed Rayleigh model. IEEE Trans. Image Process. 15(9): 2686-2693 (2006) - [c15]Diego Salas-Gonzalez, Ercan E. Kuruoglu, Diego P. Ruiz:
Bayesian estimation of mixtures of skewed alpha stable distributions with an unknown number of components. EUSIPCO 2006: 1-5 - [c14]Diego Salas-Gonzalez, Ercan E. Kuruoglu, Diego Pablo Ruiz Padillo:
Estimation of Mixtures of Symmetric Alpha Stable Distributions With an Unknown Number of Components. ICASSP (5) 2006: 545-548 - 2005
- [j13]Ercan E. Kuruoglu, Carlo Baccigalupi:
Editorial. EURASIP J. Adv. Signal Process. 2005(15): 2397-2399 (2005) - [j12]Luigi Bedini, Diego Herranz, Emanuele Salerno, Carlo Baccigalupi, Ercan E. Kuruoglu, Anna Tonazzini:
Separation of Correlated Astrophysical Sources Using Multiple-Lag Data Covariance Matrices. EURASIP J. Adv. Signal Process. 2005(15): 2400-2412 (2005) - [j11]Alin Achim, Ercan E. Kuruoglu:
Image denoising using bivariate α-stable distributions in the complex wavelet domain. IEEE Signal Process. Lett. 12(1): 17-20 (2005) - [c13]Alin M. Achim, Ercan E. Kuruoglu, Josiane Zerubia:
Maximum a posteriori estimation of Radar Cross Section in SAR images using the heavy-tailed Rayleigh model. EUSIPCO 2005: 1-4 - [c12]Deniz Gençaga, Ercan E. Kuruoglu, Aysin Ertüzün:
Estimation of time-varying autoregressive symmetric alpha stable processes by particle filters. EUSIPCO 2005: 1-4 - 2004
- [j10]Ercan E. Kuruoglu, Josiane Zerubia:
Modeling SAR images with a generalization of the Rayleigh distribution. IEEE Trans. Image Process. 13(4): 527-533 (2004) - [c11]Mauro Costagli, Ercan E. Kuruoglu, Alijah Ahmed:
Astrophysical Source Separation Using Particle Filters. ICA 2004: 930-937 - [c10]Alin Achim, Diego Herranz, Ercan E. Kuruoglu:
Astrophysical image denoising using bivariate isotropic cauchy distributions in the undecimated wavelet domain. ICIP 2004: 1225-1228 - [c9]Ercan E. Kuruoglu, Anna Tonazzini, Laura Bianchi:
Source separation in noisy astrophysical images modelled by markov random fields. ICIP 2004: 2701-2704 - [c8]Emanuele Salerno, Anna Tonazzini, Ercan E. Kuruoglu, Luigi Bedini, Diego Herranz, Carlo Baccigalupi:
Source Separation Techniques Applied to Astrophysical Maps. KES 2004: 426-432 - 2003
- [j9]Ercan E. Kuruoglu, Luigi Bedini, Maria Teresa Paratore, Emanuele Salerno, Anna Tonazzini:
Source separation in astrophysical maps using independent factor analysis. Neural Networks 16(3-4): 479-491 (2003) - [j8]Ercan E. Kuruoglu, Josiane Zerubia:
Skewed alpha-stable distributions for modelling textures. Pattern Recognit. Lett. 24(1-3): 339-348 (2003) - [c7]Ercan E. Kuruoglu:
Analytical representation for positive α-stable densities. ICASSP (6) 2003: 729-732 - 2002
- [j7]Ercan E. Kuruoglu:
Nonlinear Least lp-Norm Filters for Nonlinear Autoregressive alpha-Stable Processes. Digit. Signal Process. 12(1): 119-142 (2002) - [j6]Ercan E. Kuruoglu:
Signal processing with heavy-tailed distributions. Signal Process. 82(12): 1805-1806 (2002) - [j5]M. J. Coates, Ercan E. Kuruoglu:
Time-frequency-based detection in impulsive noise environments using alpha-stable noise models. Signal Process. 82(12): 1917-1925 (2002) - [c6]Ercan E. Kuruoglu, Luigi Bedini, Maria Teresa Paratore, Emanuele Salerno, Anna Tonazzini:
Component separation in astronomical images using independent factor analysis. EUSIPCO 2002: 1-4 - 2001
- [j4]Ercan E. Kuruoglu:
Density parameter estimation of skewed α-stable distributions. IEEE Trans. Signal Process. 49(10): 2192-2201 (2001) - 2000
- [c5]Balajee Kannan, William J. Fitzgerald, Ercan E. Kuruoglu:
Joint DOA, frequency and model order estimation in additive α-stable noise. ICASSP 2000: 3798-3801 - [c4]Ercan E. Kuruoglu, Vern T. Tan:
Document image retrieval without OCRing using a video scanning system. ACM Multimedia Workshops 2000: 233-236
1990 – 1999
- 1998
- [j3]Ercan E. Kuruoglu, William J. Fitzgerald, Peter J. W. Rayner:
Near optimal detection of signals in impulsive noise modeled with a symmetric α-stable distribution. IEEE Commun. Lett. 2(10): 282-284 (1998) - [j2]Ercan E. Kuruoglu, Peter J. W. Rayner, William J. Fitzgerald:
Least Lp-norm impulsive noise cancellation with polynomial filters. Signal Process. 69(1): 1-14 (1998) - [c3]Ercan E. Kuruoglu, Christophe G. Molina, William J. Fitzgerald:
Approximation of α-stable probability densities using finite Gaussian mixtures. EUSIPCO 1998: 1-4 - 1997
- [j1]Ercan E. Kuruoglu, Peter J. W. Rayner, William J. Fitzgerald:
Least Lp-norm estimation of autoregressive model coefficients of symmetric α-stable processes. IEEE Signal Process. Lett. 4(7): 201-203 (1997) - [c2]Ercan E. Kuruoglu, William J. Fitzgerald, Peter J. W. Rayner:
Nonlinear autoregressive modeling of non-Gaussian signals using l p-norm techniques. ICASSP 1997: 3533-3536 - 1992
- [c1]Ercan Engin Kuruoglu, Ender Ayanoglu:
The Design of Fininte-State Machines for Quantization Using Simulated Anealing. Coding And Quantization 1992: 175-184
Coauthor Index
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