The Design of Fininte-State Machines for Quantization Using Simulated Anealing. - Ercan Engin Kuruoglu; Ender Ayanoglu (Coding And Quantization, 1992)

Nonlinear autoregressive modeling of non-Gaussian signals using l p-norm techniques. - Ercan E. Kuruoglu; William J. Fitzgerald 001; Peter J. W. Rayner (ICASSP, 1997)

Least Lp-norm estimation of autoregressive model coefficients of symmetric α-stable processes. - Ercan E. Kuruoglu; Peter J. W. Rayner; William J. Fitzgerald 001 (IEEE Signal Process. Lett., 1997)

Approximation of α-stable probability densities using finite Gaussian mixtures. - Ercan E. Kuruoglu; Christophe G. Molina; William J. Fitzgerald 001 (EUSIPCO, 1998)

Near optimal detection of signals in impulsive noise modeled with a symmetric α-stable distribution. - Ercan E. Kuruoglu; William J. Fitzgerald 001; Peter J. W. Rayner (IEEE Commun. Lett., 1998)

Least Lp-norm impulsive noise cancellation with polynomial filters. - Ercan E. Kuruoglu; Peter J. W. Rayner; William J. Fitzgerald 001 (Signal Process., 1998)

Joint DOA, frequency and model order estimation in additive α-stable noise. - Balajee Kannan; William J. Fitzgerald 001; Ercan E. Kuruoglu (ICASSP, 2000)

Document image retrieval without OCRing using a video scanning system. - Ercan E. Kuruoglu; Vern T. Tan (ACM Multimedia Workshops, 2000)

Density parameter estimation of skewed α-stable distributions. - Ercan E. Kuruoglu (IEEE Trans. Signal Process., 2001)

Component separation in astronomical images using independent factor analysis. - Ercan E. Kuruoglu; Luigi Bedini; Maria Teresa Paratore; Emanuele Salerno; Anna Tonazzini (EUSIPCO, 2002)

Nonlinear Least lp-Norm Filters for Nonlinear Autoregressive alpha-Stable Processes. - Ercan E. Kuruoglu (Digit. Signal Process., 2002)

Time-frequency-based detection in impulsive noise environments using alpha-stable noise models. - M. J. Coates; Ercan E. Kuruoglu (Signal Process., 2002)

Signal processing with heavy-tailed distributions. - Ercan E. Kuruoglu (Signal Process., 2002)

Analytical representation for positive α-stable densities. - Ercan E. Kuruoglu (ICASSP (6), 2003)

Source separation in astrophysical maps using independent factor analysis. - Ercan E. Kuruoglu; Luigi Bedini; Maria Teresa Paratore; Emanuele Salerno; Anna Tonazzini (Neural Networks, 2003)

Skewed alpha-stable distributions for modelling textures. - Ercan E. Kuruoglu; Josiane Zerubia (Pattern Recognit. Lett., 2003)

Astrophysical Source Separation Using Particle Filters. - Mauro Costagli; Ercan E. Kuruoglu; Alijah Ahmed (ICA, 2004)

Astrophysical image denoising using bivariate isotropic cauchy distributions in the undecimated wavelet domain. - Alin Achim; Diego Herranz; Ercan E. Kuruoglu (ICIP, 2004)

Source separation in noisy astrophysical images modelled by markov random fields. - Ercan E. Kuruoglu; Anna Tonazzini; Laura Bianchi (ICIP, 2004)

Source Separation Techniques Applied to Astrophysical Maps. - Emanuele Salerno; Anna Tonazzini; Ercan E. Kuruoglu; Luigi Bedini; Diego Herranz; Carlo Baccigalupi (KES, 2004)

Modeling SAR images with a generalization of the Rayleigh distribution. - Ercan E. Kuruoglu; Josiane Zerubia (IEEE Trans. Image Process., 2004)

Maximum a posteriori estimation of Radar Cross Section in SAR images using the heavy-tailed Rayleigh model. - Alin M. Achim; Ercan E. Kuruoglu; Josiane Zerubia (EUSIPCO, 2005)

Estimation of time-varying autoregressive symmetric alpha stable processes by particle filters. - Deniz Gençaga; Ercan E. Kuruoglu; Aysin Ertüzün (EUSIPCO, 2005)

Separation of Correlated Astrophysical Sources Using Multiple-Lag Data Covariance Matrices. - Luigi Bedini; Diego Herranz; Emanuele Salerno; Carlo Baccigalupi; Ercan E. Kuruoglu; Anna Tonazzini (EURASIP J. Adv. Signal Process., 2005)

Editorial. - Ercan E. Kuruoglu; Carlo Baccigalupi (EURASIP J. Adv. Signal Process., 2005)

Image denoising using bivariate α-stable distributions in the complex wavelet domain. - Alin Achim; Ercan E. Kuruoglu (IEEE Signal Process. Lett., 2005)

Bayesian estimation of mixtures of skewed alpha stable distributions with an unknown number of components. - Diego Salas-Gonzalez; Ercan E. Kuruoglu; Diego P. Ruiz 001 (EUSIPCO, 2006)

Estimation of Mixtures of Symmetric Alpha Stable Distributions With an Unknown Number of Components. - Diego Salas-Gonzalez; Ercan E. Kuruoglu; Diego Pablo Ruiz Padillo (ICASSP (5), 2006)

SAR image filtering based on the heavy-tailed Rayleigh model. - Alin Achim; Ercan E. Kuruoglu; Josiane Zerubia (IEEE Trans. Image Process., 2006)

Source separation in images via MRFS with variational approximation. - Koray Kayabol; Bülent Sankur; Ercan E. Kuruoglu (EUSIPCO, 2007)

Long correlation Gaussian random fields: Parameter estimation and noise reduction. - Cesar F. Caiafa; Araceli N. Proto; Ercan E. Kuruoglu (Digit. Signal Process., 2007)

Image separation using particle filters. - Mauro Costagli; Ercan E. Kuruoglu (Digit. Signal Process., 2007)

Special issue on Bayesian source separation. - Ercan E. Kuruoglu; Kevin H. Knuth (Digit. Signal Process., 2007)

Comments on "A closed-form nonparametric Bayesian estimator in the wavelet domain of images using an approximate alpha-stable prior". - Alin Achim; Ercan E. Kuruoglu; Anastasios Bezerianos; Panagiotis Tsakalides (Pattern Recognit. Lett., 2007)

Advanced Feature Recognition and Classification Using Artificial Intelligence Paradigms. - 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 (Artificial Intelligence in Recognition and Classification of Astrophysical and Medical Images, 2007)

Image separation using iterated posterior point estimation. - Koray Kayabol; Ercan E. Kuruoglu; Bülent Sankur (EUSIPCO, 2008)

Levy walk evolution for global optimization. - Onay Urfalioglu; A. Enis Çetin; Ercan E. Kuruoglu (GECCO, 2008)

Framework for online superimposed event detection by sequential Monte Carlo methods. - Onay Urfalioglu; Ercan E. Kuruoglu; A. Enis Çetin (ICASSP, 2008)

Modeling of non-stationary autoregressive alpha-stable processes by particle filters. - Deniz Gençaga; Aysin Ertüzün; Ercan E. Kuruoglu (Digit. Signal Process., 2008)

Introduction to the Issue on Signal Processing for Space Research and Astronomy. - Amir Leshem; Julian Christou; Brian D. Jeffs; Ercan E. Kuruoglu; Alle-Jan van der Veen (IEEE J. Sel. Top. Signal Process., 2008)

Fully Bayesian Source Separation of Astrophysical Images Modelled by Mixture of Gaussians. - Simon P. Wilson 001; Ercan E. Kuruoglu; Emanuele Salerno (IEEE J. Sel. Top. Signal Process., 2008)

Estimation of time-varying AR SalphaS processes using Gibbs sampling. - Deniz Gençaga; Ercan E. Kuruoglu; Aysin Ertüzün; Sinan Yildirim (Signal Process., 2008)

Filtering in the Time-Frequency domain for the detection of compact objects. - Diego Herranz; José Luis Sanz; Ercan E. Kuruoglu (EUSIPCO, 2009)

Event recognition with time varying Hidden Markov Model. - Zhaowen Wang; Ercan E. Kuruoglu; Xiaokang Yang 001; Yi Xu 001; Songyu Yu (ICASSP, 2009)

Fast MCMC separation for MRF modelled astrophysical components. - Koray Kayabol; Ercan E. Kuruoglu; Bülent Sankur; Emanuele Salerno; Luigi Bedini (ICIP, 2009)

Image Source Separation Using Color Channel Dependencies. - Koray Kayabol; Ercan E. Kuruoglu; Bülent Sankur (ICA, 2009)

ICA by Maximizing Non-stability. - Baijie Wang; Ercan E. Kuruoglu; Junying Zhang (ICA, 2009)

A heavy-tailed empirical Bayes method for replicated microarray data. - Diego Salas-Gonzalez; Ercan E. Kuruoglu; Diego P. Ruiz 001 (Comput. Stat. Data Anal., 2009)

Astrophysical image separation by blind time-frequency source separation methods. - Mehmet Tankut Özgen; Ercan E. Kuruoglu; Diego Herranz (Digit. Signal Process., 2009)

Finite mixture of alpha-stable distributions. - Diego Salas-Gonzalez; Ercan E. Kuruoglu; Diego P. Ruiz 001 (Digit. Signal Process., 2009)

Bayesian Separation of Images Modeled With MRFs Using MCMC. - Koray Kayabol; Ercan E. Kuruoglu; Bülent Sankur (IEEE Trans. Image Process., 2009)

Bayesian factor analysis using Gaussian mixture sources, with application to separation of the cosmic microwave background. - Simon P. Wilson 001; Ercan E. Kuruoglu; Alicia Quirós Carretero (CIP, 2010)

Blind source separation from multi-channel observations with channel-variant spatial resolutions. - Koray Kayabol; Emanuele Salerno; José Luis Sanz; Diego Herranz; Ercan E. Kuruoglu (EUSIPCO, 2010)

Non-stationary t-Distribution Prior for Image Source Separation from Blurred Observations. - Koray Kayabol; Ercan E. Kuruoglu (LVA/ICA, 2010)

Dependent Component Analysis for Cosmology: A Case Study. - Ercan E. Kuruoglu (LVA/ICA, 2010)

Separating Reflections from a Single Image Using Spatial Smoothness and Structure Information. - Qing Yan; Ercan E. Kuruoglu; Xiaokang Yang 001; Yi Xu 001; Koray Kayabol (LVA/ICA, 2010)

New challenges in source separation for cosmology images. - Ercan E. Kuruoglu (ISSPA, 2010)

Modeling non-Gaussian time-varying vector autoregressive processes by particle filtering. - Deniz Gençaga; Ercan E. Kuruoglu; Aysin Ertüzün (Multidimens. Syst. Signal Process., 2010)

Modelling with mixture of symmetric stable distributions using Gibbs sampling. - Diego Salas-Gonzalez; Ercan E. Kuruoglu; Diego P. Ruiz 001 (Signal Process., 2010)

Bayesian source separation for cosmology. - Ercan E. Kuruoglu (IEEE Signal Process. Mag., 2010)

Adaptive Langevin Sampler for Separation of t-Distribution Modelled Astrophysical Maps. - Koray Kayabol; Ercan E. Kuruoglu; José Luis Sanz; Bülent Sankur; Emanuele Salerno; Diego Herranz (IEEE Trans. Image Process., 2010)

A multi-sensor network for the protection of cultural heritage. - 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; et al. (EUSIPCO, 2011)

Bayesian MAP detection of extragalactic point sources in microwave astronomical images. - Diego Herranz; Francisco Argüeso; Emanuele Salerno; Ercan E. Kuruoglu; Koray Kayabol (ICIP, 2011)

Alpha-Stable Channel Capacity. - Jia Wang; Ercan E. Kuruoglu; Tao Zhou; Ercan Engin Kuruoglu (IEEE Commun. Lett., 2011)

Alpha-Stable Channel Capacity. - Jia Wang; Ercan E. Kuruoglu; Tao Zhou; Ercan Engin Kuruoglu (IEEE Commun. Lett., 2011)

Time Varying Dynamic Bayesian Network for Nonstationary Events Modeling and Online Inference. - Zhaowen Wang; Ercan E. Kuruoglu; Xiaokang Yang 001; Yi Xu 001; Thomas S. Huang (IEEE Trans. Signal Process., 2011)

Modeling enzymatic reactions via chemical Langevin-Levy equation. - Mustafa A. Altinkaya; Ercan E. Kuruoglu (SIU, 2012)

Editorial. - Ercan E. Kuruoglu (Digit. Signal Process., 2012)

Robust data clustering by learning multi-metric Lq-norm distances. - Junying Zhang; Liuqing Peng; Xiaoxue Zhao; Ercan E. Kuruoglu (Expert Syst. Appl., 2012)

Using Generic Order Moments for separation of dependent sources with linear conditional expectations. - Cesar F. Caiafa; Ercan E. Kuruoglu (EUSIPCO, 2013)

Dependent component analysis. - Ercan E. Kuruoglu; Fabian J. Theis (EURASIP J. Adv. Signal Process., 2013)

A novel algorithm for image denoising based on unscented Kalman filtering. - Ruoqing Wang; Sufei Li; Ercan E. Kuruoglu (Int. J. Inf. Commun. Technol., 2013)

Time-varying ARMA stable process estimation using sequential Monte Carlo. - Renke Huang; Hao Zheng; Ercan E. Kuruoglu (Signal Image Video Process., 2013)

Understanding Elderly Needs for Designing a Digitally Extended Environment via Tablets. - Patrizia Andronico; Salvatore Minutoli; Ercan E. Kuruoglu (HCI (27), 2014)

Estimation under additive Cauchy-Gaussian noise using Markov chain Monte Carlo. - Yuan Chen 003; Ercan Engin Kuruoglu; Hing-Cheung So (SSP, 2014)

Density parameter estimation for additive Cauchy-Gaussian mixture. - Yuan Chen 003; Ercan Engin Kuruoglu; Hing-Cheung So; Longting Huang; Wen-Qin Wang (SSP, 2014)

Evidence of a cancer type-specific distribution for consecutive somatic mutation distances. - Jose M. Muiño; Ercan E. Kuruoglu; Peter F. Arndt (Comput. Biol. Chem., 2014)

Estimation of the nonlinearity degree for polynomial autoregressiv processes with RJMCMC. - Oktay Karakus; Ercan E. Kuruoglu; Mustafa A. Altinkaya (EUSIPCO, 2015)

Long term wind speed prediction with polynomial autoregressive model. - Oktay Karakus; Ercan E. Kuruoglu; Mustafa A. Altinkaya (SIU, 2015)

Special Issue in Honour of William J. (Bill) Fitzgerald. - Ercan E. Kuruoglu; Joan Lasenby; A. Taylan Cemgil; Anil C. Kokaram; Robin D. Morris (Digit. Signal Process., 2015)

Optimum linear regression in additive Cauchy-Gaussian noise. - Yuan Chen 003; Ercan E. Kuruoglu; Hing-Cheung So (Signal Process., 2015)

Bayesian estimation of polynomial moving average models with unknown degree of nonlinearity. - Oktay Karakus; Ercan E. Kuruoglu; Mustafa A. Altinkaya (EUSIPCO, 2016)

Stable Graphical Models. - Navodit Misra; Ercan E. Kuruoglu (J. Mach. Learn. Res., 2016)

Variance analysis of unbiased least ℓp-norm estimator in non-Gaussian noise. - Yuan Chen 003; Hing-Cheung So; Ercan Engin Kuruoglu (Signal Process., 2016)

Time-Dependent Gene Network Modelling by Sequential Monte Carlo. - Sergiy Ancherbak; Ercan E. Kuruoglu; Martin Vingron (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

Nonlinear model selection for PARMA processes using RJMCMC. - Oktay Karakus; Ercan E. Kuruoglu; Mustafa A. Altinkaya (EUSIPCO, 2017)

Variance analysis of unbiased complex-valued ℓp-norm minimizer. - Yuan Chen 003; Hing-Cheung So; Ercan Engin Kuruoglu; Xiao Long Yang (Signal Process., 2017)

Bayesian Volterra system identification using reversible jump MCMC algorithm. - Oktay Karakus; Ercan E. Kuruoglu; Mustafa A. Altinkaya (Signal Process., 2017)

How Do Detected Objects Affect the Noise Distribution of Terahertz Security Images? - Zhaodi Wang; Menghan Hu; Ercan Engin Kuruoglu; Wenhan Zhu; Guangtao Zhai (IEEE Access, 2018)

Beyond trans-dimensional RJMCMC with a case study in impulsive data modeling. - Oktay Karakus; Ercan E. Kuruoglu; Mustafa A. Altinkaya (Signal Process., 2018)

Investigating Time-Varying Brain Connectivity with Functional Magnetic Resonance Imaging using Sequential Monte Carlo. - Pierfrancesco Ambrosi; Mauro Costagli; Ercan E. Kuruoglu; Laura Biagi; Guido Buonincontri; Michela Tosetti (EUSIPCO, 2019)

Black-Box Decision based Adversarial Attack with Symmetric α-stable Distribution. - Vignesh Srinivasan; Ercan E. Kuruoglu; Klaus-Robert Müller; Wojciech Samek; Shinichi Nakajima (EUSIPCO, 2019)

Generalized Bayesian Model Selection for Speckle on Remote Sensing Images. - Oktay Karakus; Ercan E. Kuruoglu; Mustafa A. Altinkaya (IEEE Trans. Image Process., 2019)

An Iteratively Reweighted Instrumental-Variable Estimator for Robust 3-D AOA Localization in Impulsive Noise. - Ngoc Hung Nguyen; Kutluyil Dogançay; Ercan Engin Kuruoglu (IEEE Trans. Signal Process., 2019)

Modelling Sea Clutter In Sar Images Using Laplace-Rician Distribution. - Oktay Karakus; Ercan E. Kuruoglu; Alin Achim (ICASSP, 2020)

Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback. - Zifeng Wang 008; Xi Chen 003; Rui Wen 001; Shao-Lun Huang; Ercan E. Kuruoglu; Yefeng Zheng 001 (NeurIPS, 2020)

Modelling impulsive noise in indoor powerline communication systems. - Oktay Karakus; Ercan E. Kuruoglu; Mustafa A. Altinkaya (Signal Image Video Process., 2020)

How Does Policy Stringency Affect the Spread of COVID-19 Pandemic? A Country Level Study. - Yicong Li 003; Calvin Chan; Yang Li 104; Ercan Engin Kuruoglu (EUSIPCO, 2021)

Enhancing Neural Network Based Hybrid Learning with Empirical Wavelet Transform for Time Series Forecasting. - Bunchalit Eua-Arporn; Shao-Lun Huang; Ercan Engin Kuruoglu (ICTAI, 2021)

A Hybrid Model Integrating LSTM and Garch for Bitcoin Price Prediction. - Zidi Gao; Yiwen He; Ercan Engin Kuruoglu (MLSP, 2021)

Adaptive Normalized LMP Estimation for Graph Signal Processing. - Yi Yan; Radwa Adel; Ercan E. Kuruoglu (MLSP, 2021)

Modeling brain connectivity dynamics in functional magnetic resonance imaging via particle filtering. - Pierfrancesco Ambrosi; Mauro Costagli; Ercan E. Kuruoglu; Laura Biagi; Guido Buonincontri; Michela Tosetti (Brain Informatics, 2021)

30th anniversary of Digital Signal Processing: a Review Journal. - Ercan E. Kuruoglu (Digit. Signal Process., 2021)

30th Anniversary Special Issue on Future Signal Processing. - Ercan E. Kuruoglu (Digit. Signal Process., 2021)

Letter from the Editor: While I weigh the anchor: Editor's farewell. - Ercan Engin Kuruoglu (Digit. Signal Process., 2021)

Modelling Time-Varying Epidemiological Parameters for COVID-19. - Ercan Engin Kuruoglu; Yang Li 104 (ERCIM News, 2021)

Robust dense light field reconstruction from sparse noisy sampling. - Wenhui Zhou 001; Jiangwei Shi; Yongjie Hong; Lili Lin; Ercan Engin Kuruoglu (Signal Process., 2021)

PAC-Bayes Information Bottleneck. - Zifeng Wang 008; Shao-Lun Huang; Ercan Engin Kuruoglu; Jimeng Sun 001; Xi Chen 003; Yefeng Zheng 001 (ICLR, 2022)

Hyperspectral Anomaly Detection with Multivariate Skewed t Background Model. - Koray Kayabol; Ensar Burak Aytekin; Sertaç Arisoy; Ercan Engin Kuruoglu (SIU, 2022)

Thompson Sampling on Asymmetric α-Stable Bandits. - Zhendong Shi; Ercan E. Kuruoglu; Xiaoli Wei (CoRR, 2022)

Joint online estimation of multi-order graph topological signals. - Yi Yan; Tian Xie 005; Ercan E. Kuruoglu (CoRR, 2022)

Neural Network Structure Optimization by Simulated Annealing. - Chun Lin Kuo; Ercan Engin Kuruoglu; Wai Kin Victor Chan (Entropy, 2022)

Unsupervised learning of light field depth estimation with spatial and angular consistencies. - Lili Lin; Qiujian Li; Bin Gao; Yuxiang Yan 003; Wenhui Zhou 001; Ercan Engin Kuruoglu (Neurocomputing, 2022)

Cauchy-Rician Model for Backscattering in Urban SAR Images. - Oktay Karakus; Ercan E. Kuruoglu; Alin Achim; Mustafa A. Altinkaya (IEEE Geosci. Remote. Sens. Lett., 2022)

Skewed t-Distribution for Hyperspectral Anomaly Detection Based on Autoencoder. - Koray Kayabol; Ensar Burak Aytekin; Sertac Arisoy; Ercan Engin Kuruoglu (IEEE Geosci. Remote. Sens. Lett., 2022)

Robust structural similarity index measure for images with non-Gaussian distortions. - Lili Lin; Hong Chen; Ercan Engin Kuruoglu; Wenhui Zhou 001 (Pattern Recognit. Lett., 2022)

Adaptive sign algorithm for graph signal processing. - Yi Yan; Ercan E. Kuruoglu; Mustafa A. Altinkaya (Signal Process., 2022)

A Generalized Gaussian Extension to the Rician Distribution for SAR Image Modeling. - Oktay Karakus; Ercan E. Kuruoglu; Alin Achim (IEEE Trans. Geosci. Remote. Sens., 2022)

Thompson Sampling on Asymmetric a-stable Bandits. - Zhendong Shi; Ercan E. Kuruoglu; Xiaoli Wei (ICAART (3), 2023)

Fast Cauchy-Rician Modelling of SAR Images With Method of Algebraic Moments Estimator. - Mutong Li; Ercan E. Kuruoglu (ICASSP Workshops, 2023)

SDG-L: A Semiparametric Deep Gaussian Process based Framework for Battery Capacity Prediction. - Hanbing Liu; Yanru Wu; Yang Liu 003; Ercan E. Kuruoglu; Xuan Zhang (ICASSP, 2023)

Strategic Trading in Quantitative Markets through Multi-Agent Reinforcement Learning. - Hengxi Zhang; Zhendong Shi; Yuanquan Hu; Wenbo Ding 001; Ercan E. Kuruoglu; Xiao-Ping Zhang 002 (CoRR, 2023)

From Bandits Model to Deep Deterministic Policy Gradient, Reinforcement Learning with Contextual Information. - Zhendong Shi; Xiaoli Wei; Ercan E. Kuruoglu (CoRR, 2023)

Online Signal Estimation on the Graph Edges via Line Graph Transformation. - Yi Yan; Ercan Engin Kuruoglu (CoRR, 2023)

Bayesian Neural Networks: A Min-Max Game Framework. - Junping Hong; Ercan Engin Kuruoglu (CoRR, 2023)

Robust Recovery for Graph Signal via $ ell _{0}$-Norm Regularization. - Xiao Peng Li 005; Yi Yan; Ercan Engin Kuruoglu; Hing Cheung So; Yuan Chen 003 (IEEE Signal Process. Lett., 2023)

Multivariate Time Series Forecasting With GARCH Models on Graphs. - Junping Hong; Yi Yan; Ercan Engin Kuruoglu; Wai Kin Chan (IEEE Trans. Signal Inf. Process. over Networks, 2023)

Graph Normalized-LMP Algorithm for Signal Estimation Under Impulsive Noise. - Yi Yan; Radwa Adel; Ercan Engin Kuruoglu (J. Signal Process. Syst., 2023)

Non-homogeneous Poisson and renewal processes as spatial models for cancer mutation. - Hengyuan Miao; Ercan Engin Kuruoglu; Tao Xu (Comput. Biol. Chem., 2023)

Topological and Graph Theoretical Analysis of Dynamic Functional Connectivity for Autism Spectrum Disorder. - Yuzhe Chen; Dayu Qin; Ercan Engin Kuruoglu (BI (1), 2024)

Optimizing Trading Strategies in Quantitative Markets Using Multi-Agent Reinforcement Learning. - Hengxi Zhang; Zhendong Shi; Yuanquan Hu; Wenbo Ding 001; Ercan E. Kuruoglu; Xiao-Ping Zhang 002 (ICASSP, 2024)

Sequential Monte Carlo Graph Convolutional Network for Dynamic Brain Connectivity. - Fengfan Zhao; Ercan Engin Kuruoglu (ICASSP, 2024)

Graph Structure Optimization using Simulated Annealing. - Dongdong Nian; Ercan Engin Kuruoglu (IJCNN, 2024)

Trustworthy Personalized Bayesian Federated Learning via Posterior Fine-Tune. - Chi Xu; Mengen Luo; Ercan Engin Kuruoglu (IJCNN, 2024)

Cauchy Graphical Models. - Taurai Muvunza; Yang Li 104; Ercan Engin Kuruoglu (PGM, 2024)

Adaptive Least Mean Squares Graph Neural Networks and Online Graph Signal Estimation. - Yi Yan; Changran Peng; Ercan Engin Kuruoglu (CoRR, 2024)

Bayesian Neural Network For Personalized Federated Learning Parameter Selection. - Mengen Luo; Ercan Engin Kuruoglu (CoRR, 2024)

Adaptive Least Mean pth Power Graph Neural Networks. - Changran Peng; Yi Yan; Ercan E. Kuruoglu (CoRR, 2024)

On Sequential Loss Approximation for Continual Learning. - Menghao Waiyan William Zhu; Ercan Engin Kuruoglu (CoRR, 2024)

LLM-based Online Prediction of Time-varying Graph Signals. - Dayu Qin; Yi Yan; Ercan Engin Kuruoglu (CoRR, 2024)

LLM Online Spatial-temporal Signal Reconstruction Under Noise. - Yi Yan; Dayu Qin; Ercan Engin Kuruoglu (CoRR, 2024)

MHFNet: An Improved HGR Multimodal Network for Informative Correlation Fusion in Remote Sensing Image Classification. - Hongkang Zhang; Shao-Lun Huang; Ercan Engin Kuruoglu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Complex Isotropic α-Stable-Rician Model for Heterogeneous SAR Images. - Mutong Li; Ercan E. Kuruoglu (IEEE Trans. Geosci. Remote. Sens., 2024)

Attention based hybrid parametric and neural network models for non-stationary time series prediction. - Zidi Gao; Ercan Engin Kuruoglu (Expert Syst. J. Knowl. Eng., 2024)

Portfolio Selection via Graph-Aware Gaussian Processes With Generalized Gaussian Likelihood. - Naiqi Li; Zhikang Xia; Yiming Li 004; Ercan E. Kuruoglu; Yong Jiang 001; Shu-Tao Xia (IEEE Trans. Artif. Intell., 2024)

Time-Varying GPS Displacement Network Modeling by Sequential Monte Carlo. - Suchanun Piriyasatit; Ercan Engin Kuruoglu; Mehmet Sinan Ozeren (Entropy, 2024)

Cross-Sign Language Transfer Learning Using Domain Adaptation with Multi-scale Temporal Alignment. - Keren Artiaga; Yang Li 104; Ercan Engin Kuruoglu; Wai Kin (Victor) Chan (Multim. Tools Appl., 2024)

HGR Correlation Pooling Fusion Framework for Recognition and Classification in Multimodal Remote Sensing Data. - Hongkang Zhang; Shao-Lun Huang; Ercan Engin Kuruoglu (Remote. Sens., 2024)

Node-Level Graph Regression With Deep Gaussian Process Models. - Naiqi Li; Wenjie Li 008; Yinghua Gao; Yiming Li 004; Jigang Bao; Ercan E. Kuruoglu; Yong Jiang 001; Shu-Tao Xia (IEEE Trans. Artif. Intell., 2024)

Transformer-Based Light Field Geometry Learning for No-Reference Light Field Image Quality Assessment. - Lili Lin; Siyu Bai; Mengjia Qu; Xuehui Wei; Luyao Wang; Feifan Wu; Biao Liu; Wenhui Zhou 001; Ercan Engin Kuruoglu (IEEE Trans. Broadcast., 2024)

Optimized Parameter-Efficient Deep Learning Systems via Reversible Jump Simulated Annealing. - Peter Marsh; Ercan Engin Kuruoglu (IEEE J. Sel. Top. Signal Process., 2024)

Exploring Weight Distributions and Dependence in Neural Networks With $ alpha$-Stable Distributions. - Jipeng Li; Xueqiong Yuan; Ercan Engin Kuruoglu (IEEE Trans. Artif. Intell., 2024)

Beyond Photometric Consistency: Geometry-Based Occlusion-Aware Unsupervised Light Field Disparity Estimation. - Wenhui Zhou 001; Lili Lin; Yongjie Hong; Qiujian Li; Xingfa Shen; Ercan Engin Kuruoglu (IEEE Trans. Neural Networks Learn. Syst., 2024)

LLM-based Online Prediction of Time-varying Graph Signals (Student Abstract). - Dayu Qin; Yi Yan; Ercan Engin Kuruoglu (AAAI, 2025)

Efficient Global Attention and Correlation-Aware Fusion for Hyperspectral Image Classification. - Hongkang Zhang; Shao-Lun Huang; Ercan Engin Kuruoglu (ICASSP, 2025)

Robustness enhancement in neural networks with alpha-stable training noise. - Xueqiong Yuan; Jipeng Li; Ercan Engin Kuruoglu (Digit. Signal Process., 2025)

Cauchy Graph Convolutional Networks. - Taurai Muvunza; Yang Li 104; Ercan Engin Kuruoglu (Int. J. Approx. Reason., 2025)

Binarized Simplicial Convolutional Neural Networks. - Yi Yan; Ercan Engin Kuruoglu (Neural Networks, 2025)

Graph Signal Adaptive Message Passing. - Yi Yan; Changran Peng; Ercan E. Kuruoglu (IEEE Signal Process. Lett., 2025)

Adaptive Joint Estimation of Temporal Vertex and Edge Signals. - Yi Yan; Tian Xie 005; Ercan E. Kuruoglu (IEEE Trans. Signal Inf. Process. over Networks, 2025)

Uncertainty Quantification With Noise Injection in Neural Networks: A Bayesian Perspective. - Xueqiong Yuan; Jipeng Li; Ercan Engin Kuruoglu (CoRR, 2025)

A Survey of Graph Transformers: Architectures, Theories and Applications. - Chaohao Yuan; Kangfei Zhao; Ercan Engin Kuruoglu; Liang Wang; Tingyang Xu; Wenbing Huang 001; Deli Zhao; Hong Cheng 001; Yu Rong 001 (CoRR, 2025)

Sequential Function-Space Variational Inference via Gaussian Mixture Approximation. - Menghao Waiyan William Zhu; Pengcheng Hao; Ercan Engin Kuruoglu (CoRR, 2025)

Spatio-Temporal Graph Structure Learning for Earthquake Detection. - Suchanun Piriyasatit; Ercan Engin Kuruoglu; Mehmet Sinan Ozeren (CoRR, 2025)

ASD Classification on Dynamic Brain Connectome using Temporal Random Walk with Transformer-based Dynamic Network Embedding. - Suchanuch Piriyasatit; Chaohao Yuan; Ercan Engin Kuruoglu (CoRR, 2025)

Unifying Structural Proximity and Equivalence for Enhanced Dynamic Network Embedding. - Suchanuch Piriyasatit; Chaohao Yuan; Ercan Engin Kuruoglu (CoRR, 2025)

BrainNetMLP: An Efficient and Effective Baseline for Functional Brain Network Classification. - Jiacheng Hou; Zhenjie Song; Ercan Engin Kuruoglu (CoRR, 2025)

Monte Carlo Functional Regularisation for Continual Learning. - Pengcheng Hao; Menghao Waiyan William Zhu; Ercan Engin Kuruoglu (CoRR, 2025)