Ercan E. Kuruoglu

Orcid: 0000-0002-2608-8034

According to our database1, Ercan E. Kuruoglu authored at least 133 papers between 1992 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Portfolio Selection via Graph-Aware Gaussian Processes With Generalized Gaussian Likelihood.
IEEE Trans. Artif. Intell., February, 2024

Trustworthy Personalized Bayesian Federated Learning via Posterior Fine-Tune.
CoRR, 2024

Bayesian Neural Network For Personalized Federated Learning Parameter Selection.
CoRR, 2024

Adaptive Least Mean Squares Graph Neural Networks and Online Graph Signal Estimation.
CoRR, 2024

2023
Non-homogeneous Poisson and renewal processes as spatial models for cancer mutation.
Comput. Biol. Chem., October, 2023

Graph Normalized-LMP Algorithm for Signal Estimation Under Impulsive Noise.
J. Signal Process. Syst., January, 2023

Multivariate Time Series Forecasting With GARCH Models on Graphs.
IEEE Trans. Signal Inf. Process. over Networks, 2023

Robust Recovery for Graph Signal via $\ell _{0}$-Norm Regularization.
IEEE Signal Process. Lett., 2023

Bayesian Neural Networks: A Min-Max Game Framework.
CoRR, 2023

Robustness Enhancement in Neural Networks with Alpha-Stable Training Noise.
CoRR, 2023

Online Signal Estimation on the Graph Edges via Line Graph Transformation.
CoRR, 2023

From Bandits Model to Deep Deterministic Policy Gradient, Reinforcement Learning with Contextual Information.
CoRR, 2023

Strategic Trading in Quantitative Markets through Multi-Agent Reinforcement Learning.
CoRR, 2023

SDG-L: A Semiparametric Deep Gaussian Process based Framework for Battery Capacity Prediction.
Proceedings of the IEEE International Conference on Acoustics, 2023

Fast Cauchy-Rician Modelling of SAR Images With Method of Algebraic Moments Estimator.
Proceedings of the IEEE International Conference on Acoustics, 2023

Thompson Sampling on Asymmetric a-stable Bandits.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

2022
A Generalized Gaussian Extension to the Rician Distribution for SAR Image Modeling.
IEEE Trans. Geosci. Remote. Sens., 2022

Adaptive sign algorithm for graph signal processing.
Signal Process., 2022

Robust structural similarity index measure for images with non-Gaussian distortions.
Pattern Recognit. Lett., 2022

Skewed t-Distribution for Hyperspectral Anomaly Detection Based on Autoencoder.
IEEE Geosci. Remote. Sens. Lett., 2022

Cauchy-Rician Model for Backscattering in Urban SAR Images.
IEEE Geosci. Remote. Sens. Lett., 2022

Unsupervised learning of light field depth estimation with spatial and angular consistencies.
Neurocomputing, 2022

Neural Network Structure Optimization by Simulated Annealing.
Entropy, 2022

Joint online estimation of multi-order graph topological signals.
CoRR, 2022

Thompson Sampling on Asymmetric α-Stable Bandits.
CoRR, 2022

Hyperspectral Anomaly Detection with Multivariate Skewed t Background Model.
Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

PAC-Bayes Information Bottleneck.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Robust dense light field reconstruction from sparse noisy sampling.
Signal Process., 2021

Modelling Time-Varying Epidemiological Parameters for COVID-19.
ERCIM News, 2021

Letter from the Editor: While I weigh the anchor: Editor's farewell.
Digit. Signal Process., 2021

30th Anniversary Special Issue on Future Signal Processing.
Digit. Signal Process., 2021

30th anniversary of Digital Signal Processing: a Review Journal.
Digit. Signal Process., 2021

Modeling brain connectivity dynamics in functional magnetic resonance imaging via particle filtering.
Brain Informatics, 2021

Adaptive Normalized LMP Estimation for Graph Signal Processing.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

A Hybrid Model Integrating LSTM and Garch for Bitcoin Price Prediction.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Enhancing Neural Network Based Hybrid Learning with Empirical Wavelet Transform for Time Series Forecasting.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

How Does Policy Stringency Affect the Spread of COVID-19 Pandemic? A Country Level Study.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
Modelling impulsive noise in indoor powerline communication systems.
Signal Image Video Process., 2020

Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Modelling Sea Clutter In Sar Images Using Laplace-Rician Distribution.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
An Iteratively Reweighted Instrumental-Variable Estimator for Robust 3-D AOA Localization in Impulsive Noise.
IEEE Trans. Signal Process., 2019

Generalized Bayesian Model Selection for Speckle on Remote Sensing Images.
IEEE Trans. Image Process., 2019

Black-Box Decision based Adversarial Attack with Symmetric α-stable Distribution.
Proceedings of the 27th European Signal Processing Conference, 2019

Investigating Time-Varying Brain Connectivity with Functional Magnetic Resonance Imaging using Sequential Monte Carlo.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Beyond trans-dimensional RJMCMC with a case study in impulsive data modeling.
Signal Process., 2018

How Do Detected Objects Affect the Noise Distribution of Terahertz Security Images?
IEEE Access, 2018

2017
Bayesian Volterra system identification using reversible jump MCMC algorithm.
Signal Process., 2017

Variance analysis of unbiased complex-valued ℓ<sub>p</sub>-norm minimizer.
Signal Process., 2017

Nonlinear model selection for PARMA processes using RJMCMC.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Time-Dependent Gene Network Modelling by Sequential Monte Carlo.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016

Variance analysis of unbiased least ℓ<sub>p</sub>-norm estimator in non-Gaussian noise.
Signal Process., 2016

Stable Graphical Models.
J. Mach. Learn. Res., 2016

Bayesian estimation of polynomial moving average models with unknown degree of nonlinearity.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
Optimum linear regression in additive Cauchy-Gaussian noise.
Signal Process., 2015

Special Issue in Honour of William J. (Bill) Fitzgerald.
Digit. Signal Process., 2015

Long term wind speed prediction with polynomial autoregressive model.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

Estimation of the nonlinearity degree for polynomial autoregressiv processes with RJMCMC.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Evidence of a cancer type-specific distribution for consecutive somatic mutation distances.
Comput. Biol. Chem., 2014

Density parameter estimation for additive Cauchy-Gaussian mixture.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Estimation under additive Cauchy-Gaussian noise using Markov chain Monte Carlo.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Understanding Elderly Needs for Designing a Digitally Extended Environment via Tablets.
Proceedings of the HCI International 2014 - Posters' Extended Abstracts, 2014

2013
Time-varying ARMA stable process estimation using sequential Monte Carlo.
Signal Image Video Process., 2013

A novel algorithm for image denoising based on unscented Kalman filtering.
Int. J. Inf. Commun. Technol., 2013

Dependent component analysis.
EURASIP J. Adv. Signal Process., 2013

Using Generic Order Moments for separation of dependent sources with linear conditional expectations.
Proceedings of the 21st European Signal Processing Conference, 2013

2012
Robust data clustering by learning multi-metric Lq-norm distances.
Expert Syst. Appl., 2012

Editorial.
Digit. Signal Process., 2012

Modeling enzymatic reactions via chemical Langevin-Levy equation.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

2011
Time Varying Dynamic Bayesian Network for Nonstationary Events Modeling and Online Inference.
IEEE Trans. Signal Process., 2011

Alpha-Stable Channel Capacity.
IEEE Commun. Lett., 2011

Bayesian MAP detection of extragalactic point sources in microwave astronomical images.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

A multi-sensor network for the protection of cultural heritage.
Proceedings of the 19th European Signal Processing Conference, 2011

2010
Adaptive Langevin Sampler for Separation of t-Distribution Modelled Astrophysical Maps.
IEEE Trans. Image Process., 2010

Bayesian source separation for cosmology.
IEEE Signal Process. Mag., 2010

Modelling with mixture of symmetric stable distributions using Gibbs sampling.
Signal Process., 2010

Modeling non-Gaussian time-varying vector autoregressive processes by particle filtering.
Multidimens. Syst. Signal Process., 2010

New challenges in source separation for cosmology images.
Proceedings of the 10th International Conference on Information Sciences, 2010

Separating Reflections from a Single Image Using Spatial Smoothness and Structure Information.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Dependent Component Analysis for Cosmology: A Case Study.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Non-stationary <i>t</i>-Distribution Prior for Image Source Separation from Blurred Observations.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Blind source separation from multi-channel observations with channel-variant spatial resolutions.
Proceedings of the 18th European Signal Processing Conference, 2010

Bayesian factor analysis using Gaussian mixture sources, with application to separation of the cosmic microwave background.
Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010

2009
Bayesian Separation of Images Modeled With MRFs Using MCMC.
IEEE Trans. Image Process., 2009

Finite mixture of alpha-stable distributions.
Digit. Signal Process., 2009

Astrophysical image separation by blind time-frequency source separation methods.
Digit. Signal Process., 2009

A heavy-tailed empirical Bayes method for replicated microarray data.
Comput. Stat. Data Anal., 2009

ICA by Maximizing Non-stability.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

Image Source Separation Using Color Channel Dependencies.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

Fast MCMC separation for MRF modelled astrophysical components.
Proceedings of the International Conference on Image Processing, 2009

Event recognition with time varying Hidden Markov Model.
Proceedings of the IEEE International Conference on Acoustics, 2009

Filtering in the Time-Frequency domain for the detection of compact objects.
Proceedings of the 17th European Signal Processing Conference, 2009

2008
Estimation of time-varying AR SalphaS processes using Gibbs sampling.
Signal Process., 2008

Fully Bayesian Source Separation of Astrophysical Images Modelled by Mixture of Gaussians.
IEEE J. Sel. Top. Signal Process., 2008

Introduction to the Issue on Signal Processing for Space Research and Astronomy.
IEEE J. Sel. Top. Signal Process., 2008

Modeling of non-stationary autoregressive alpha-stable processes by particle filters.
Digit. Signal Process., 2008

Framework for online superimposed event detection by sequential Monte Carlo methods.
Proceedings of the IEEE International Conference on Acoustics, 2008

Levy walk evolution for global optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Image separation using iterated posterior point estimation.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007
Advanced Feature Recognition and Classification Using Artificial Intelligence Paradigms.
Proceedings of the Artificial Intelligence in Recognition and Classification of Astrophysical and Medical Images., 2007

Comments on "A closed-form nonparametric Bayesian estimator in the wavelet domain of images using an approximate alpha-stable prior".
Pattern Recognit. Lett., 2007

Special issue on Bayesian source separation.
Digit. Signal Process., 2007

Image separation using particle filters.
Digit. Signal Process., 2007

Long correlation Gaussian random fields: Parameter estimation and noise reduction.
Digit. Signal Process., 2007

Source separation in images via MRFS with variational approximation.
Proceedings of the 15th European Signal Processing Conference, 2007

2006
SAR image filtering based on the heavy-tailed Rayleigh model.
IEEE Trans. Image Process., 2006

Estimation of Mixtures of Symmetric Alpha Stable Distributions With an Unknown Number of Components.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Bayesian estimation of mixtures of skewed alpha stable distributions with an unknown number of components.
Proceedings of the 14th European Signal Processing Conference, 2006

2005
Image denoising using bivariate α-stable distributions in the complex wavelet domain.
IEEE Signal Process. Lett., 2005

Editorial.
EURASIP J. Adv. Signal Process., 2005

Separation of Correlated Astrophysical Sources Using Multiple-Lag Data Covariance Matrices.
EURASIP J. Adv. Signal Process., 2005

Estimation of time-varying autoregressive symmetric alpha stable processes by particle filters.
Proceedings of the 13th European Signal Processing Conference, 2005

Maximum a posteriori estimation of Radar Cross Section in SAR images using the heavy-tailed Rayleigh model.
Proceedings of the 13th European Signal Processing Conference, 2005

2004
Modeling SAR images with a generalization of the Rayleigh distribution.
IEEE Trans. Image Process., 2004

Source Separation Techniques Applied to Astrophysical Maps.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

Source separation in noisy astrophysical images modelled by markov random fields.
Proceedings of the 2004 International Conference on Image Processing, 2004

Astrophysical image denoising using bivariate isotropic cauchy distributions in the undecimated wavelet domain.
Proceedings of the 2004 International Conference on Image Processing, 2004

Astrophysical Source Separation Using Particle Filters.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

2003
Skewed alpha-stable distributions for modelling textures.
Pattern Recognit. Lett., 2003

Source separation in astrophysical maps using independent factor analysis.
Neural Networks, 2003

Analytical representation for positive α-stable densities.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
Signal processing with heavy-tailed distributions.
Signal Process., 2002

Time-frequency-based detection in impulsive noise environments using alpha-stable noise models.
Signal Process., 2002

Nonlinear Least l<sub>p</sub>-Norm Filters for Nonlinear Autoregressive alpha-Stable Processes.
Digit. Signal Process., 2002

Component separation in astronomical images using independent factor analysis.
Proceedings of the 11th European Signal Processing Conference, 2002

2001
Density parameter estimation of skewed α-stable distributions.
IEEE Trans. Signal Process., 2001

2000
Document image retrieval without OCRing using a video scanning system.
Proceedings of the ACM Multimedia 2000 Workshops, Los Angeles, CA, USA, October 30, 2000

Joint DOA, frequency and model order estimation in additive α-stable noise.
Proceedings of the IEEE International Conference on Acoustics, 2000

1998
Least L<sub>p</sub>-norm impulsive noise cancellation with polynomial filters.
Signal Process., 1998

Near optimal detection of signals in impulsive noise modeled with a symmetric α-stable distribution.
IEEE Commun. Lett., 1998

Approximation of α-stable probability densities using finite Gaussian mixtures.
Proceedings of the 9th European Signal Processing Conference, 1998

1997
Least L<sub>p</sub>-norm estimation of autoregressive model coefficients of symmetric α-stable processes.
IEEE Signal Process. Lett., 1997

Nonlinear autoregressive modeling of non-Gaussian signals using l <sub>p</sub>-norm techniques.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1992
The Design of Fininte-State Machines for Quantization Using Simulated Anealing.
Proceedings of the Coding And Quantization, 1992


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