| 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 |
