Ercan E. Kuruoglu

发表

A heavy-tailed empirical Bayes method for replicated microarray data

Diego P. Ruiz, Diego Salas-Gonzalez, Ercan E. Kuruoglu, 2009, Comput. Stat. Data Anal..

Density parameter estimation for additive Cauchy-Gaussian mixture

Wen-Qin Wang, Yuan Chen, Hing-Cheung So, 2014, 2014 IEEE Workshop on Statistical Signal Processing (SSP).

Astrophysical image denoising using bivariate isotropic Cauchy distributions in the undecimated wavelet domain

Alin Achim, Ercan E. Kuruoglu, Diego Herranz, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

Source separation in images via MRFS with variational approximation

Bülent Sankur, Ercan E. Kuruoglu, Koray Kayabol, 2007, 2007 15th European Signal Processing Conference.

Image separation using particle filters

Ercan E. Kuruoglu, Mauro Costagli, E. Kuruoglu, 2007, Digit. Signal Process..

Nonlinear model selection for PARMA processes using RJMCMC

Ercan E. Kuruoglu, Oktay Karakus, Mustafa A. Altinkaya, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

Source Separation Techniques Applied to Astrophysical Maps

Anna Tonazzini, Ercan E. Kuruoglu, Emanuele Salerno, 2004, KES.

Non-stationary t-Distribution Prior for Image Source Separation from Blurred Observations

Ercan E. Kuruoglu, Koray Kayabol, 2010, LVA/ICA.

Dependent component analysis

Fabian J. Theis, Ercan E. Kuruoglu, 2013, EURASIP J. Adv. Signal Process..

Astrophysical image separation by blind time-frequency source separation methods

Ercan E. Kuruoglu, Mehmet Tankut Özgen, Diego Herranz, 2009, Digit. Signal Process..

One-day ahead wind speed/power prediction based on polynomial autoregressive model

Ercan E. Kuruoglu, Oktay Karakus, Mustafa A. Altinkaya, 2017 .

Modeling SAR images with a generalization of the Rayleigh distribution

Josiane Zerubia, Ercan E. Kuruoglu, J. Zerubia, 2004, IEEE Transactions on Image Processing.

Black-Box Decision based Adversarial Attack with Symmetric α-stable Distribution

Shinichi Nakajima, Klaus-Robert Müller, Wojciech Samek, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

New challenges in source separation for cosmology images

Ercan E. Kuruoglu, E. Kuruoğlu, 2010, 10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010).

Separation of Correlated Astrophysical Sources Using Multiple-Lag Data Covariance Matrices

Anna Tonazzini, Ercan E. Kuruoglu, Emanuele Salerno, 2005, EURASIP J. Adv. Signal Process..

Nonlinear Least lp-Norm Filters for Nonlinear Autoregressive alpha-Stable Processes

Ercan E. Kuruoglu, E. Kuruoğlu, 2002, Digit. Signal Process..

A multi-sensor network for the protection of cultural heritage

Nikolaos Grammalidis, A. Enis Çetin, Ferdaous Chaabane, 2011, 2011 19th European Signal Processing Conference.

Finite mixture of alpha Stable distributions

Diego P. Ruiz, Diego Salas-Gonzalez, Ercan E. Kuruoglu, 2007 .

Density parameter estimation of skewed α-stable distributions

Ercan E. Kuruoglu, E. Kuruoglu, 2001, IEEE Trans. Signal Process..

Astrophysical Source Separation Using Particle Filters

Ercan E. Kuruoglu, Mauro Costagli, Alijah Ahmed, 2004, ICA.

Bayesian estimation of polynomial moving average models with unknown degree of nonlinearity

Ercan E. Kuruoglu, Oktay Karakus, Mustafa A. Altinkaya, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Generalized Bayesian Model Selection for Speckle on Remote Sensing Images

Ercan E. Kuruoglu, Oktay Karakus, Mustafa A. Altinkaya, 2019, IEEE Transactions on Image Processing.

Time Varying Dynamic Bayesian Network for Nonstationary Events Modeling and Online Inference

Thomas S. Huang, Xiaokang Yang, Yi Xu, 2011, IEEE Transactions on Signal Processing.

Robust data clustering by learning multi-metric Lq-norm distances

Ercan E. Kuruoglu, Liuqing Peng, Junying Zhang, 2012, Expert Syst. Appl..

Near optimal detection of signals in impulsive noise modeled with a symmetric /spl alpha/-stable distribution

Peter J. W. Rayner, William J. Fitzgerald, Ercan E. Kuruoglu, 1998, IEEE Communications Letters.

Maximum a posteriori estimation of Radar Cross Section in SAR images using the heavy-tailed Rayleigh model

Josiane Zerubia, Alin Achim, Ercan E. Kuruoglu, 2005, 2005 13th European Signal Processing Conference.

Long correlation Gaussian random fields: Parameter estimation and noise reduction

Ercan E. Kuruoglu, Cesar F. Caiafa, Araceli N. Proto, 2007, Digit. Signal Process..

Source separation in astrophysical maps using independent factor analysis

Anna Tonazzini, Ercan E. Kuruoglu, Emanuele Salerno, 2003, Neural Networks.

Editorial

Ercan E. Kuruoglu, Carlo Baccigalupi, 2005, EURASIP J. Adv. Signal Process..

Image denoising using bivariate α-stable distributions in the complex wavelet domain

Alin Achim, Ercan E. Kuruoglu, E. Kuruoglu, 2005, IEEE Signal Processing Letters.

Variance analysis of unbiased least ℓp-norm estimator in non-Gaussian noise

Yuan Chen, Hing-Cheung So, Ercan E. Kuruoglu, 2016, Signal Process..

Special issue on Bayesian source separation

Ercan E. Kuruoglu, Kevin H. Knuth, 2007, Digit. Signal Process..

Modelling Time-Varying Epidemiological Parameters for COVID-19

Ercan E. Kuruoglu, Yang Li, 2021, ERCIM News.

Modelling impulsive noise in indoor powerline communication systems

Ercan E. Kuruoglu, Oktay Karakus, Mustafa A. Altinkaya, 2020 .

Bayesian source separation for cosmology

Ercan E. Kuruoglu, E. Kuruoglu, E. Kuruoğlu, 2010, IEEE Signal Processing Magazine.

Call for Papers: Special issue: Bayesian Source Separation

Ercan E. Kuruoglu, Kevin H. Knuth, 2006 .

SAR image filtering based on the heavy-tailed Rayleigh model

Josiane Zerubia, Alin Achim, Ercan E. Kuruoglu, 2006, IEEE Transactions on Image Processing.

A novel algorithm for image denoising based on unscented Kalman filtering

Ercan E. Kuruoglu, Sufei Li, Ruoqing Wang, 2013, Int. J. Inf. Commun. Technol..

Dependent Component Analysis for Cosmology: A Case Study

Ercan E. Kuruoglu, E. Kuruoglu, E. Kuruoğlu, 2010, LVA/ICA.

Estimation of time-varying AR SalphaS processes using Gibbs sampling

Sinan Yildirim, Aysin Ertüzün, Ercan E. Kuruoglu, 2008, Signal Process..

Analytical representation for positive /spl alpha/-stable densities

Ercan E. Kuruoglu, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Estimation under additive Cauchy-Gaussian noise using Markov chain Monte Carlo

Yuan Chen, Hing-Cheung So, Ercan E. Kuruoglu, 2014, 2014 IEEE Workshop on Statistical Signal Processing (SSP).

Estimation of the nonlinearity degree for polynomial autoregressiv processes with RJMCMC

Ercan E. Kuruoglu, Oktay Karakus, Mustafa A. Altinkaya, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

Beyond trans-dimensional RJMCMC with a case study in impulsive data modeling

Ercan E. Kuruoglu, Oktay Karakus, Mustafa A. Altinkaya, 2018, Signal Process..

Modeling non-Gaussian time-varying vector autoregressive processes by particle filtering

Aysin Ertüzün, Ercan E. Kuruoglu, Deniz Gençaga, 2010, Multidimens. Syst. Signal Process..

Bayesian Separation of Images Modeled With MRFs Using MCMC

Bülent Sankur, Ercan E. Kuruoglu, Koray Kayabol, 2009, IEEE Transactions on Image Processing.

Understanding Elderly Needs for Designing a Digitally Extended Environment via Tablets

Ercan E. Kuruoglu, Patrizia Andronico, Salvatore Minutoli, 2014, HCI.

Framework for online superimposed event detection by sequential Monte Carlo methods

A. Enis Çetin, Ercan E. Kuruoglu, Onay Urfalioglu, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Evidence of a cancer type-specific distribution for consecutive somatic mutation distances

Ercan E. Kuruoglu, Peter F. Arndt, Jose M. Muiño, 2014, Comput. Biol. Chem..

Time-frequency-based detection in impulsive noise environments using alpha-stable noise models

Ercan E. Kuruoglu, Mark Coates, M. Coates, 2002, Signal Process..

Component separation in astronomical images using independent factor analysis

Anna Tonazzini, Ercan E. Kuruoglu, Emanuele Salerno, 2002, 2002 11th European Signal Processing Conference.

Joint DOA, frequency and model order estimation in additive /spl alpha/-stable noise

William J. Fitzgerald, Ercan E. Kuruoglu, Balajee Kannan, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Estimation of Mixtures of Symmetric Alpha Stable Distributions With an Unknown Number of Components

Diego Salas-Gonzalez, Ercan E. Kuruoglu, Diego Pablo Ruiz Padillo, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Bayesian Volterra system identification using reversible jump MCMC algorithm

Ercan E. Kuruoglu, Oktay Karakus, Mustafa A. Altinkaya, 2017, Signal Process..

Modeling enzymatic reactions via chemical Langevin-Levy equation

Ercan E. Kuruoglu, Mustafa A. Altinkaya, E. Kuruoglu, 2012, 2012 20th Signal Processing and Communications Applications Conference (SIU).

Approximation of α-stable probability densities using finite Gaussian mixtures

William J. Fitzgerald, Ercan E. Kuruoglu, Christophe G. Molina, 1998, 9th European Signal Processing Conference (EUSIPCO 1998).

Levy walk evolution for global optimization

A. Enis Çetin, Ercan E. Kuruoglu, Onay Urfalioglu, 2008, GECCO '08.

Alpha-Stable Channel Capacity

Ercan E. Kuruoglu, Jia Wang, Tao Zhou, 2011, IEEE Communications Letters.

Optimum linear regression in additive Cauchy-Gaussian noise

Yuan Chen, Hing-Cheung So, Ercan E. Kuruoglu, 2015, Signal Process..

Fast MCMC separation for MRF modelled astrophysical components

Bülent Sankur, Ercan E. Kuruoglu, Emanuele Salerno, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

A Generalized Gaussian Extension to the Rician Distribution for SAR Image Modeling

Ercan E. Kuruoglu, Alin Achim, Oktay Karakucs, 2020, IEEE Transactions on Geoscience and Remote Sensing.

BLIND SEPARATION OF TIME-CORRELATED SOURCES FROM NOISY DATA

Anna Tonazzini, Ercan E. Kuruoglu, Emanuele Salerno, 2001 .

Modelling Sea Clutter In Sar Images Using Laplace-Rician Distribution

Ercan E. Kuruoglu, Alin Achim, Oktay Karakus, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Time-Dependent Gene Network Modelling by Sequential Monte Carlo

Martin Vingron, Ercan E. Kuruoglu, Sergiy Ancherbak, 2016, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Special Issue in Honour of William J. (Bill) Fitzgerald

Anil C. Kokaram, Ali Taylan Cemgil, Joan Lasenby, 2015, Digit. Signal Process..

Nonlinear least lp-norm lters for nonlinear autoregressive-stable processes

Ercan E. Kuruoglu, 2002 .

Astronomy and cosmology [From the Guest editors]

Alle-Jan van der Veen, Ercan E. Kuruoglu, Amir Leshem, 2010 .

Separating Reflections from a Single Image Using Spatial Smoothness and Structure Information

Xiaokang Yang, Yi Xu, Ercan E. Kuruoglu, 2010, LVA/ICA.

Ardis¸ik Monte Carlo Y¨ ontemiyle BindirilmisOlay Sezimi Superimposed Event Detection by Sequential Monte Carlo Methods

Ercan E. Kuruoglu, Onay Urfalioglu, Ahmet Enis Cetin, 2007 .

Variance analysis of unbiased complex-valued ℓp-norm minimizer

Yuan Chen, Hing-Cheung So, Ercan E. Kuruoglu, 2017, Signal Process..

Estimation of time-varying autoregressive symmetric alpha stable processes by particle filters

Aysin Ertüzün, Ercan E. Kuruoglu, Deniz Gençaga, 2005, 2005 13th European Signal Processing Conference.

Comments on "A closed-form nonparametric Bayesian estimator in the wavelet domain of images using an approximate alpha-stable prior"

Alin Achim, Anastasios Bezerianos, Panagiotis Tsakalides, 2007, Pattern Recognit. Lett..

Bayesian factor analysis using Gaussian mixture sources, with application to separation of the cosmic microwave background

Simon P. Wilson, Ercan E. Kuruoglu, Alicia Quirós Carretero, 2010, 2010 2nd International Workshop on Cognitive Information Processing.

WITHDRAWN: Separation of non-stationary mixtures of cross-correlated processes using sequential Monte Carlo

Ercan E. Kuruoglu, Ayşın Ertüzün, Deniz Gencaga, 2009 .

Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback pdf

Shao-Lun Huang, Xi Chen, Ercan E. Kuruoglu, 2020, NeurIPS.

Long term wind speed prediction with polynomial autoregressive model

Ercan E. Kuruoglu, Oktay Karakus, Mustafa A. Altinkaya, 2015, 2015 23nd Signal Processing and Communications Applications Conference (SIU).

Image separation using iterated posterior point estimation

Bülent Sankur, Ercan E. Kuruoglu, Koray Kayabol, 2008, 2008 16th European Signal Processing Conference.

Filtering in the Time-Frequency domain for the detection of compact objects

Ercan E. Kuruoglu, Diego Herranz, José Luis Sanz, 2009, 2009 17th European Signal Processing Conference.

Event recognition with time varying Hidden Markov Model

Xiaokang Yang, Yi Xu, Songyu Yu, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Blind source separation from multi-channel observations with channel-variant spatial resolutions

Ercan E. Kuruoglu, Emanuele Salerno, Koray Kayabol, 2010, 2010 18th European Signal Processing Conference.

Modeling of non-stationary autoregressive alpha-stable processes by particle filters

Aysin Ertüzün, Ercan E. Kuruoglu, Deniz Gençaga, 2008, Digit. Signal Process..

Time-varying ARMA stable process estimation using sequential Monte Carlo

Renke Huang, Ercan E. Kuruoglu, Hao Zheng, 2013, Signal Image Video Process..

Bayesian MAP detection of extragalactic point sources in microwave astronomical images

Ercan E. Kuruoglu, Emanuele Salerno, Koray Kayabol, 2011, 2011 18th IEEE International Conference on Image Processing.

Source separation in noisy astrophysical images modelled by Markov random fields

Anna Tonazzini, Ercan E. Kuruoglu, Laura Bianchi, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

Modelling with mixture of symmetric stable distributions using Gibbs sampling

Diego P. Ruiz, Diego Salas-Gonzalez, Ercan E. Kuruoglu, 2010, Signal Process..

ICA by Maximizing Non-stability

Ercan E. Kuruoglu, Baijie Wang, Junying Zhang, 2009, ICA.

Introduction to the Issue on Signal Processing for Space Research and Astronomy

Alle-Jan van der Veen, Ercan E. Kuruoglu, Amir Leshem, 2008, IEEE J. Sel. Top. Signal Process..

Least Lp-norm impulsive noise cancellation with polynomial filters

Peter J. W. Rayner, William J. Fitzgerald, Ercan E. Kuruoglu, 1998, Signal Process..

Skewed alpha-stable distributions for modelling textures

Josiane Zerubia, Ercan E. Kuruoglu, J. Zerubia, 2003, Pattern Recognit. Lett..

Black-Box Decision based Adversarial Attack with Symmetric $\alpha$-stable Distribution

Shinichi Nakajima, Wojciech Samek, Ercan E. Kuruoglu, 2019 .

Bayesian estimation of mixtures of skewed alpha stable distributions with an unknown number of components

Diego P. Ruiz, Diego Salas-Gonzalez, Ercan E. Kuruoglu, 2006, 2006 14th European Signal Processing Conference.

Stable Graphical Models

Navodit Misra, Ercan E. Kuruoglu, E. Kuruoglu, 2014, J. Mach. Learn. Res..

Editorial

Ercan E. Kuruoglu, 2012, Digit. Signal Process..

Fully Bayesian Source Separation of Astrophysical Images Modelled by Mixture of Gaussians

Simon P. Wilson, Ercan E. Kuruoglu, Emanuele Salerno, 2008, IEEE Journal of Selected Topics in Signal Processing.

Document image retrieval without OCRing using a video scanning system

Ercan E. Kuruoglu, Vern T. Tan, 2000, MULTIMEDIA '00.

Image Source Separation Using Color Channel Dependencies

Bülent Sankur, Ercan E. Kuruoglu, Koray Kayabol, 2009, ICA.

30th anniversary of Digital Signal Processing: a Review Journal

Ercan E. Kuruoglu, 2021, Digit. Signal Process..

Using Generic Order Moments for separation of dependent sources with linear conditional expectations

Ercan E. Kuruoglu, Cesar F. Caiafa, C. Caiafa, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

Signal processing with heavy-tailed distributions

Ercan E. Kuruoglu, 2002, Signal Process..

Advanced Feature Recognition and Classification Using Artificial Intelligence Paradigms

Hiroyuki Yoshida, Anna Tonazzini, Valentina V. Zharkova, 2007, Artificial Intelligence in Recognition and Classification of Astrophysical and Medical Images.

The Design of Fininte-State Machines for Quantization Using Simulated Anealing

Ercan E. Kuruoglu, Ender Ayanoglu, 1992, Coding And Quantization.

Adaptive Langevin Sampler for Separation of $t$-Distribution Modelled Astrophysical Maps

Bülent Sankur, Ercan E. Kuruoglu, Emanuele Salerno, 2010, IEEE Transactions on Image Processing.

Nonlinear autoregressive modeling of non-Gaussian signals using l/sub p/-norm techniques

Peter J. W. Rayner, William J. Fitzgerald, Ercan E. Kuruoglu, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Robust dense light field reconstruction from sparse noisy sampling

Ercan E. Kuruoglu, Wenhui Zhou, Lili Lin, 2021, Signal Process..

Adaptive Normalized LMP Estimation for Graph Signal Processing

Ercan E. Kuruoglu, Yi Yan, Radwa Adel, 2021, 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP).

Modeling brain connectivity dynamics in functional magnetic resonance imaging via particle filtering

Ercan E. Kuruoglu, Mauro Costagli, Michela Tosetti, 2021, Brain Informatics.

30th Anniversary Special Issue on Future Signal Processing

Ercan E. Kuruoglu, 2021, Digit. Signal Process..

Enhancing Neural Network Based Hybrid Learning with Empirical Wavelet Transform for Time Series Forecasting

Shao-Lun Huang, Ercan E. Kuruoglu, Bunchalit Eua-Arporn, 2021, 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI).

How Does Policy Stringency Affect the Spread of COVID-19 Pandemic? A Country Level Study

Ercan E. Kuruoglu, Yang Li, Yicong Li, 2021, 2021 29th European Signal Processing Conference (EUSIPCO).

A Hybrid Model Integrating LSTM and Garch for Bitcoin Price Prediction

Ercan E. Kuruoglu, Zidi Gao, Yiwen He, 2021, 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP).

GG-Rician SAR Image Modelling

Ercan E. Kuruoglu, Oktay Karakus, Alin Achim, 2021 .

Adaptive sign algorithm for graph signal processing

Ercan E. Kuruoglu, Mustafa A. Altinkaya, Yi Yan, 2022, Signal Process..

PAC-Bayes Information Bottleneck pdf

Jimeng Sun, Shao-Lun Huang, Ercan E. Kuruoglu, 2021, ArXiv.

Bayesian Separation of Non‐Stationary Mixtures of Dependent Gaussian Sources

Ercan E. Kuruoglu, Ayşın Ertüzün, Deniz Gencaga, 2005 .

Variant functional approximations for latent Gaussian models ( Technical Report of Statistics department , TCD

Simon P. Wilson, Ercan E. Kuruoglu, Ji Won Yoon, 2011 .

A new analytic representation of the-stable density function

William J. Fitzgerald, Ercan E. Kuruoglu, Carlos Gerardo Molina, 1997 .

Impulsive noise elimination using polynomial iteratively reweighted least squares

Peter J. W. Rayner, William J. Fitzgerald, Ercan E. Kuruoglu, 1996, 1996 IEEE Digital Signal Processing Workshop Proceedings.