The global k-means clustering algorithm A Likas, N Vlassis, J J Verbeek
Pattern recognition 36 (2), 451-461, 2003
4477 2003 Artificial neural networks for solving ordinary and partial differential equations IE Lagaris, A Likas, DI Fotiadis
Neural Networks, IEEE Transactions on 9 (5), 987-1000, 1998
2881 1998 The variational approximation for Bayesian inference DG Tzikas, AC Likas, NP Galatsanos
IEEE Signal Processing Magazine 25 (6), 131-146, 2008
1047 2008 Neural-network methods for boundary value problems with irregular boundaries IE Lagaris, AC Likas, DG Papageorgiou
Neural Networks, IEEE Transactions on 11 (5), 1041-1049, 2000
599 2000 A greedy EM algorithm for Gaussian mixture learning N Vlassis, A Likas
Neural Processing Letters 15 (1), 77-87, 2002
442 2002 The MinMax k-Means clustering algorithm G Tzortzis, A Likas
Pattern recognition 47 (7), 2505-2516, 2014
352 2014 Kernel-based weighted multi-view clustering G Tzortzis, A Likas
2012 IEEE 12th international conference on data mining, 675-684, 2012
321 2012 A spatially constrained mixture model for image segmentation K Blekas, A Likas, NP Galatsanos, IE Lagaris
IEEE transactions on Neural Networks 16 (2), 494-498, 2005
305 2005 A variational approach for Bayesian blind image deconvolution AC Likas, NP Galatsanos
IEEE transactions on signal processing 52 (8), 2222-2233, 2004
272 2004 Bayesian feature and model selection for Gaussian mixture models C Constantinopoulos, MK Titsias, A Likas
IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (6), 1013-1018, 2006
236 2006 Scene detection in videos using shot clustering and sequence alignment VT Chasanis, AC Likas, NP Galatsanos
Multimedia, IEEE Transactions on 11 (1), 89-100, 2009
211 2009 The Global Kernel-Means Algorithm for Clustering in Feature Space GF Tzortzis, AC Likas
Neural Networks, IEEE Transactions on 20 (7), 1181-1194, 2009
207 2009 A class-adaptive spatially variant mixture model for image segmentation C Nikou, NP Galatsanos, AC Likas
Image Processing, IEEE Transactions on 16 (4), 1121-1130, 2007
207 2007 Characterization of clustered microcalcifications in digitized mammograms using neural networks and support vector machines A Papadopoulos, DI Fotiadis, A Likas
Artificial intelligence in medicine 34 (2), 141-150, 2005
207 2005 Artificial neural network methods in quantum mechanics IE Lagaris, A Likas, DI Fotiadis
Computer Physics Communications 104 (1-3), 1-14, 1997
206 1997 An automatic microcalcification detection system based on a hybrid neural network classifier A Papadopoulos, DI Fotiadis, A Likas
Artificial intelligence in Medicine 25 (2), 149-167, 2002
163 2002 An ischemia detection method based on artificial neural networks C Papaloukas, DI Fotiadis, A Likas, LK Michalis
Artificial intelligence in medicine 24 (2), 167-178, 2002
162 2002 Automated ischemic beat classification using genetic algorithms and multicriteria decision analysis Y Goletsis, C Papaloukas, DI Fotiadis, A Likas, LK Michalis
IEEE transactions on Biomedical Engineering 51 (10), 1717-1725, 2004
152 2004 Variational Bayesian Image Restoration Based on a Product of -Distributions Image Prior G Chantas, N Galatsanos, A Likas, M Saunders
Image Processing, IEEE Transactions on 17 (10), 1795-1805, 2008
149 2008 Dip-means: an incremental clustering method for estimating the number of clusters A Kalogeratos, A Likas
Advances in neural information processing systems 25, 2012
127 2012