Konstantinos Koutroumbas

42 papers C 3Misc 3Journal 17Unranked 16

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Discrimination of Fe-Ni-Laterites from Bauxites Using a Novel Support Vector Machines-Based Methodology on Sentinel-2 Data. Remote. Sens. Alexandra Anifadi, Olga Sykioti, Konstantinos Koutroumbas, Emmanuel Vassilakis, Charalampos Vasilatos, Emil Georgiou
2020	J	`jnl`	Spectral Unmixing for Mapping a Hydrothermal Field in a Volcanic Environment Applied on ASTER, Landsat-8/OLI, and Sentinel-2 MSI Satellite Multispectral Data: The Nisyros (Greece) Case Study. Remote. Sens. Athanasia-Maria Tompolidi, Olga Sykioti, Konstantinos Koutroumbas, Issaak S. Parcharidis
2018	—	`conf`	Generalized Adaptive Possibilistic C-Means Clustering Algorithm. SETN Spyridoula D. Xenaki, Konstantinos Koutroumbas, Athanasios A. Rontogiannis
2018	—	`ch.`	Spectral Clustering. Encyclopedia of Database Systems (2nd ed.) Sergios Theodoridis, Konstantinos Koutroumbas
2016	—	`conf`	Detecting hyperplane clusters with adaptive possibilistic clustering. SETN Konstantinos Koutroumbas, Spyridoula D. Xenaki, Athanasios A. Rontogiannis
2015	C	`conf`	A new sparsity-aware feature selection method for hyperspectral image clustering. IGARSS Spyridoula D. Xenaki, Konstantinos Koutroumbas, Athanasios A. Rontogiannis, Olga A. Sykioti
2015	C	`conf`	Joint spectral unmixing and clustering for identifying homogeneous regions in hyperspectral images. IGARSS Eleftheria A. Mylona, Olga A. Sykioti, Konstantinos Koutroumbas, Athanasios A. Rontogiannis
2015	J	`jnl`	On the convergence of the sparse possibilistic c-means algorithm. CoRR Spyridoula D. Xenaki, Konstantinos Koutroumbas, Athanasios A. Rontogiannis
2015	—	`conf`	Online Bayesian group sparse parameter estimation using a generalized inverse Gaussian Markov chain. EUSIPCO Konstantinos E. Themelis, Athanasios A. Rontogiannis, Konstantinos Koutroumbas
2015	—	`conf`	Online Bayesian low-rank subspace learning from partial observations. EUSIPCO Paris Giampouras, Athanasios A. Rontogiannis, Konstantinos E. Themelis, Konstantinos Koutroumbas
2015	J	`jnl`	Simultaneously sparse and low-rank abundance matrix estimation for hyperspectral image unmixing. CoRR Paris Giampouras, Konstantinos Themelis, Athanasios A. Rontogiannis, Konstantinos Koutroumbas
2015	J	`jnl`	Sparsity-aware Possibilistic Clustering Algorithms. CoRR Spyridoula D. Xenaki, Konstantinos Koutroumbas, Athanasios A. Rontogiannis
2014	J	`jnl`	A Novel Adaptive Possibilistic Clustering Algorithm. CoRR Spyridoula D. Xenaki, Konstantinos Koutroumbas, Athanasios A. Rontogiannis
2014	J	`jnl`	A Variational Bayes Framework for Sparse Adaptive Estimation. IEEE Trans. Signal Process. Konstantinos E. Themelis, Athanasios A. Rontogiannis, Konstantinos Koutroumbas
2014	C	`conf`	A layered sparse adaptive possibilistic approach for hyperspectral image clustering. IGARSS Spyridoula D. Xenaki, Konstantinos Koutroumbas, Athanasios A. Rontogiannis, Olga Sykioti
2014	Misc	`conf`	Adaptive variational sparse Bayesian estimation. ICASSP Konstantinos E. Themelis, Athanasios A. Rontogiannis, Konstantinos Koutroumbas
2014	—	`conf`	Group-sparse adaptive variational Bayes estimation. EUSIPCO Konstantinos E. Themelis, Athanasios A. Rontogiannis, Konstantinos Koutroumbas
2014	—	`conf`	Sequential Sparse Adaptive Possibilistic Clustering. SETN Spyridoula D. Xenaki, Konstantinos Koutroumbas, Athanasios A. Rontogiannis
2014	Misc	`conf`	Sparse adaptive possibilistic clustering. ICASSP Spyridoula D. Xenaki, Konstantinos Koutroumbas, Athanasios A. Rontogiannis
2013	—	`conf`	A fast variational Bayes algorithm for sparse semi-supervised unmixing of OMEGA/Mars express data. WHISPERS Athanasios A. Rontogiannis, Konstantinos Themelis, Olga Sykioti, Konstantinos Koutroumbas
2013	—	`conf`	Adaptive possibilistic clustering. ISSPIT Spyridoula D. Xenaki, Konstantinos Koutroumbas, Athanasios A. Rontogiannis
2013	—	`conf`	Variational Bayesian sparse adaptive filtering using a Gauss-Seidel recursive approach. EUSIPCO Konstantinos E. Themelis, Athanasios A. Rontogiannis, Konstantinos Koutroumbas
2012	J	`jnl`	A Novel Hierarchical Bayesian Approach for Sparse Semisupervised Hyperspectral Unmixing. IEEE Trans. Signal Process. Konstantinos Themelis, Athanasios A. Rontogiannis, Konstantinos Koutroumbas
2012	—	`conf`	A fast algorithm for the Bayesian adaptive lasso. EUSIPCO Athanasios A. Rontogiannis, Konstantinos E. Themelis, Konstantinos Koutroumbas
2012	J	`jnl`	Piecewise Linear Curve Approximation Using Graph Theory and Geometrical Concepts. IEEE Trans. Image Process. Konstantinos Koutroumbas
2011	—	`conf`	Sparse semi-supervised hyperspectral unmixing using a novel iterative Bayesian inference algorithm. EUSIPCO Konstantinos E. Themelis, Athanasios A. Rontogiannis, Konstantinos Koutroumbas
2010	—	`conf`	On the Approximation Capabilities of Hard Limiter Feedforward Neural Networks. SETN Konstantinos Koutroumbas, Yannis Bakopoulos
2010	Misc	`conf`	Semi-Supervised Hyperspectral Unmixing via the Weighted Lasso. ICASSP Konstantinos Themelis, Athanasios A. Rontogiannis, Konstantinos Koutroumbas
2009	—	`ch.`	Spectral Clustering. Encyclopedia of Database Systems Sergios Theodoridis, Konstantinos Koutroumbas
2008	—	`conf`	A Hamming Maxnet That Determines all the Maxima. SETN Konstantinos Koutroumbas
2008	J	`jnl`	Pattern Recognition. IEEE Trans. Neural Networks Sergios Theodoridis, Konstantinos Koutroumbas
2007	J	`jnl`	Classification methods for random utility models with i.i.d. disturbances under the most probable alternative rule. Eur. J. Oper. Res. Nicholas Kalouptsidis, Konstantinos Koutroumbas, V. Psaraki
2006	—	`conf`	Discrimination of Benign from Malignant Breast Lesions Using Statistical Classifiers. SETN Konstantinos Koutroumbas, Abraham Pouliakis, Tatiana Mona Megalopoulou, John Georgoulakis, Anna-Eva Giachnaki, Petros Karakitsos
2005	J	`jnl`	COMAX: A Cooperative Method for Determining the Position of the Maxima. Neural Process. Lett. Konstantinos Koutroumbas
2005	J	`jnl`	Generalized hamming networks and applications. Neural Networks Konstantinos Koutroumbas, Nicholas Kalouptsidis
2004	J	`jnl`	Recurrent Algorithms for Selecting the Maximum Input. Neural Process. Lett. Konstantinos Koutroumbas
2003	J	`jnl`	On the Partitioning Capabilities of Feedforward Neural Networks with Sigmoid Nodes. Neural Comput. Konstantinos Koutroumbas
2001	—	`conf`	Pattern Recognition and Neural Networks. Machine Learning and Its Applications Sergios Theodoridis, Konstantinos Koutroumbas
1999	—	`book`	Pattern recognition. Sergios Theodoridis, Konstantinos Koutroumbas
1998	—	`conf`	Divide and conquer algorithms for constructing neural networks architectures. EUSIPCO Konstantinos Koutroumbas, Abraham Pouliakis, Nicholas Kalouptsidis
1998	J	`jnl`	Neural network architectures for selecting the maximum input. Int. J. Comput. Math. Konstantinos Koutroumbas, Nicholas Kalouptsidis
1994	J	`jnl`	Qualitative analysis of the parallel and asynchronous modes of the Hamming network. IEEE Trans. Neural Networks Konstantinos Koutroumbas, Nicholas Kalouptsidis