Ercan E. Kuruoglu - Citegraph

Author Info

Name	Affiliation	Papers
ERCAN E. KURUOGLU	Institute of Science and Technology of Information, “A. Faedo,”, Italian National Council of Research, via G Moruzzi 1, Pisa, 56124, Italy	97
Collaborators	Citations	PageRank
137	505	61.27
Referers	Referees	References
1004	2824	1012

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Publications (97 rows)

Collaborators (100 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Neural Network Structure Optimization by Simulated Annealing	0	0.34	2022
Adaptive sign algorithm for graph signal processing	0	0.34	2022
Cauchy-Rician Model for Backscattering in Urban SAR Images	0	0.34	2022
Skewed t-Distribution for Hyperspectral Anomaly Detection Based on Autoencoder	0	0.34	2022
A Generalized Gaussian Extension to the Rician Distribution for SAR Image Modeling	0	0.34	2022
A Hybrid Model Integrating LSTM and Garch for Bitcoin Price Prediction	0	0.34	2021
Enhancing Neural Network Based Hybrid Learning with Empirical Wavelet Transform for Time Series Forecasting	0	0.34	2021
How Does Policy Stringency Affect the Spread of COVID-19 Pandemic? A Country Level Study	0	0.34	2021
Modelling impulsive noise in indoor powerline communication systems	1	0.35	2020
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback	0	0.34	2020
Black-Box Decision based Adversarial Attack with Symmetric α-stable Distribution.	0	0.34	2019
An Iteratively Reweighted Instrumental-Variable Estimator for Robust 3-D AOA Localization in Impulsive Noise.	0	0.34	2019
Investigating Time-Varying Brain Connectivity With Functional Magnetic Resonance Imaging Using Sequential Monte Carlo	0	0.34	2019
Generalized Bayesian Model Selection for Speckle on Remote Sensing Images.	0	0.34	2019
How Do Detected Objects Affect the Noise Distribution of Terahertz Security Images?	0	0.34	2018
Beyond trans-dimensional RJMCMC with a case study in impulsive data modeling.	0	0.34	2018
Variance analysis of unbiased complex-valued ℓp-norm minimizer.	0	0.34	2017
Bayesian Volterra system identification using reversible jump MCMC algorithm.	2	0.49	2017
Nonlinear model selection for PARMA processes using RJMCMC.	1	0.35	2017
Bayesian estimation of polynomial moving average models with unknown degree of nonlinearity.	0	0.34	2016
Variance analysis of unbiased least ℓp-norm estimator in non-Gaussian noise.	0	0.34	2016
Time-dependent Gene Network Modelling by Sequential Monte Carlo.	0	0.34	2016
Long term wind speed prediction with polynomial autoregressive model	0	0.34	2015
Optimum linear regression in additive Cauchy-Gaussian noise.	3	0.38	2015
Estimation of the nonlinearity degree for polynomial autoregressiv processes with RJMCMC	3	0.41	2015
Special issue in honour of William J. (Bill) Fitzgerald	0	0.34	2015
Density parameter estimation for additive Cauchy-Gaussian mixture	0	0.34	2014
Stable Graphical Models.	0	0.34	2014
Estimation under additive Cauchy-Gaussian noise using Markov chain Monte Carlo	1	0.39	2014
Understanding Elderly Needs for Designing a Digitally Extended Environment via Tablets.	0	0.34	2014
Evidence of a cancer type-specific distribution for consecutive somatic mutation distances.	1	0.35	2014
Time-varying ARMA stable process estimation using sequential Monte Carlo.	1	0.41	2013
A novel algorithm for image denoising based on unscented Kalman filtering	1	0.39	2013
Dependent component analysis.	2	0.34	2013
Using Generic Order Moments for separation of dependent sources with linear conditional expectations	0	0.34	2013
Robust data clustering by learning multi-metric Lq-norm distances	5	0.41	2012
Alpha-Stable Channel Capacity	12	0.75	2011
Bayesian Map Detection Of Extragalactic Point Sources In Microwave Astronomical Images	0	0.34	2011
Time Varying Dynamic Bayesian Network for Nonstationary Events Modeling and Online Inference	22	1.15	2011
A multi-sensor network for the protection of cultural heritage	11	0.71	2011
Blind source separation from multi-channel observations with channel-variant spatial resolutions	0	0.34	2010
Bayesian factor analysis using Gaussian mixture sources, with application to separation of the cosmic microwave background	1	0.39	2010
Dependent component analysis for cosmology: a case study	5	0.52	2010
Adaptive Langevin sampler for separation of t-distribution modelled astrophysical maps.	9	1.42	2010
Modeling non-Gaussian time-varying vector autoregressive processes by particle filtering	5	0.57	2010
Separating reflections from a single image using spatial smoothness and structure information	1	0.40	2010
Modelling with mixture of symmetric stable distributions using Gibbs sampling	17	1.27	2010
Non-stationary t-distribution prior for image source separation from blurred observations	0	0.34	2010
Bayesian source separation for cosmology	4	0.59	2010
Bayesian separation of images modeled with MRFs using MCMC.	19	1.02	2009

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