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KURUOGLU, ERCAN ENGIN

KURUOGLU, ERCAN ENGIN  

Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI  

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Titolo Data di pubblicazione Autore(i) File
Cauchy-Rician model for backscattering in urban SAR images 1-gen-2022 Karakus, O; Kuruoglu, Ee; Achim, A; Altinkaya, Ma
SI-Lab annual research report 2021 1-gen-2022 Righi, M; Leone, GIUSEPPE RICCARDO; Carboni, A; Caudai, C; Colantonio, S; Kuruoglu, ERCAN ENGIN; Leporini, B; Magrini, M; Paradisi, P; Pascali, MARIA ANTONIETTA; Pieri, G; Reggiannini, M; Salerno, E; Scozzari, A; Tonazzini, A; Fusco, G; Galesi, G; Martinelli, M; Pardini, F; Tampucci, M; Berti, A; Bruno, A; Buongiorno, R; Carloni, G; Conti, F; Germanese, D; Ignesti, G; Matarese, F; Omrani, A; Pachetti, E; Papini, O; Benassi, A; Bertini, G; Coltelli, P; Tarabella, L; Straface, S; Salvetti, O; Moroni, D
Skewed t-Distribution for hyperspectral anomaly detection based on autoencoder 1-gen-2022 Kayabol, K; Aytekin, Eb; Arisoy, S; Kuruoglu, Ee
30th Anniversary Special Issue on Future Signal Processing 1-gen-2021 Kuruoglu E.E.
A generalized Gaussian extension to the Rician distribution for SAR image modeling 1-gen-2021 Karakus O.; Kuruoglu E.E.; Achim A.
Insights on features' contribution to desalination dynamics and capacity of capacitive deionization through machine learning study 1-gen-2021 Saffarimiandoab F.; Mattesini R.; Fu W.; Kuruoglu E.E.; Zhang X.
Letter from the Editor: While I weigh the anchor: Editor's farewell 1-gen-2021 Kuruoglu; E. E.
Modeling brain connectivity dynamics in functional magnetic resonance imaging via particle filtering 1-gen-2021 Ambrosi, P; Costagli, M; Kuruoglu, Ee; Biagi, L; Buonincontri, G; Tosetti, M
Modelling time-varying epidemiological parameters for COVID-19 1-gen-2021 Kuruoglu E.E.; Li Y.
SI-Lab Annual Research Report 2020 1-gen-2021 Leone, Gr; Righi, M; Carboni, A; Caudai, C; Colantonio, S; Kuruoglu, Ee; Leporini, B; Magrini, M; Paradisi, P; Pascali, Ma; Pieri, G; Reggiannini, M; Salerno, E; Scozzari, A; Tonazzini, A; Fusco, G; Galesi, G; Martinelli, M; Pardini, F; Tampucci, M; Buongiorno, R; Bruno, A; Germanese, D; Matarese, F; Coscetti, S; Coltelli, P; Jalil, B; Benassi, A; Bertini, G; Salvetti, O; Moroni, D
Information theoretic counterfactual learning from missing-not-at-random feedback 1-gen-2020 Zifeng W.; Xi C.; Rui W.; Shao Lun H.; Kuruoglu E.E.; Yefeng Z.
Modelling impulsive noise in indoor powerline communication systems 1-gen-2020 Karakus O.; Kuruoglu E.E.; Altinkaya M.A.
Modelling sea clutter in Sar images using Laplace-Rician distribution 1-gen-2020 Karakus O.; Kuruoglu E.E.; Achim A.
An Iteratively Reweighted Instrumental-Variable Estimator for Robust 3-D AOA Localization in Impulsive Noise 1-gen-2019 Nguyen N.H.; Dogancay K.; Kuruoglu E.E.
Angle estimation in MIMO radar using a new sparse representation approach 1-gen-2019 Liu B.; Kuruoglu E. E.; Zhang J.; Gini F.; Xue T.; Lei W.
Black-box decision based adversarial attack with symmetric ?-stable distribution 1-gen-2019 Srinivasan, V; Kuruoglu, Ee; Muller, Kr; Samek, W; Nakajima, S
Generalized bayesian model selection for speckle on remote sensing images 1-gen-2019 Karakus O.; Kuruoglu E.E.; Altinkaya M.A.
Investigating time-varying brain connectivity with functional magnetic resonance imaging using sequential Monte Carlo 1-gen-2019 Ambrosi, P; Costagli, M; Kuruoglu, Ee; Biagi, L; Buonincontri, G; Tosetti, M
Sequential Monte Carlo for studying effective connectivity in fMRI 1-gen-2019 Costagli M.; Kuruoglu E.; Ambrosi P.; Buonincontri G.; Biagi L.; Tosetti M.
Beyond trans-dimensional RJMCMC with a case study in impulsive data modeling 1-gen-2018 Karakus, O; E E, Kuruoglu; M A, Altinkaya