| Pattern recognition S Theodoridis, K Koutroumbas Elsevier, 2006 | 11701 | 2006 |
| Introduction to pattern recognition: a matlab approach S Theodoridis, A Pikrakis, K Koutroumbas, D Cavouras Academic Press, 2010 | 623 | 2010 |
| Pattern recognition K Koutroumbas, S Theodoridis Academic Press, 2008 | 255 | 2008 |
| A novel hierarchical Bayesian approach for sparse semisupervised hyperspectral unmixing KE Themelis, AA Rontogiannis, KD Koutroumbas IEEE Transactions on Signal Processing 60 (2), 585-599, 2011 | 154 | 2011 |
| Simultaneously sparse and low-rank abundance matrix estimation for hyperspectral image unmixing PV Giampouras, KE Themelis, AA Rontogiannis, KD Koutroumbas IEEE Transactions on Geoscience and Remote Sensing 54 (8), 4775-4789, 2016 | 127 | 2016 |
| Pattern recognition and neural networks S Theodoridis, K Koutroumbas Advanced course on artificial intelligence, 169-195, 1999 | 104 | 1999 |
| 模式识别 S Theodoridis, K Koutroumbas 電子工業出版社, 2006 | 78 | 2006 |
| Feature selection S Theodoridis, K Koutroumbas Pattern recognition, 261-322, 2009 | 72 | 2009 |
| A novel adaptive possibilistic clustering algorithm SD Xenaki, KD Koutroumbas, AA Rontogiannis IEEE Transactions on Fuzzy Systems 24 (4), 791-810, 2015 | 65 | 2015 |
| A variational Bayes framework for sparse adaptive estimation KE Themelis, AA Rontogiannis, KD Koutroumbas IEEE Transactions on Signal Processing 62 (18), 4723-4736, 2014 | 63 | 2014 |
| Discriminating benign from malignant thyroid lesions using artificial intelligence and statistical selection of morphometric features B Cochand-Priollet, K Koutroumbas, TM Megalopoulou, A Pouliakis, ... Oncology Reports 15 (4), 1023-1026, 2006 | 50 | 2006 |
| Semi-Supervised Hyperspectral Unmixing via the Weighted Lasso. K Themelis, AA Rontogiannis, K Koutroumbas ICASSP, 1194-1197, 2010 | 47 | 2010 |
| Time series autoregression technique implemented on-line in DIAS system for ionospheric forecast over Europe K Koutroumbas, I Tsagouri, A Belehaki Annales geophysicae 26 (2), 371-386, 2008 | 43 | 2008 |
| A new short-term forecasting model for the total electron content storm time disturbances I Tsagouri, K Koutroumbas, P Elias Journal of Space Weather and Space Climate 8, A33, 2018 | 36 | 2018 |
| A methodology for near real-time change detection between Unmanned Aerial Vehicle and wide area satellite images AL Fytsilis, A Prokos, KD Koutroumbas, D Michail, CC Kontoes ISPRS Journal of Photogrammetry and Remote Sensing 119, 165-186, 2016 | 36 | 2016 |
| Alternating iteratively reweighted least squares minimization for low-rank matrix factorization PV Giampouras, AA Rontogiannis, KD Koutroumbas IEEE Transactions on Signal Processing 67 (2), 490-503, 2018 | 35 | 2018 |
| Sparsity-aware possibilistic clustering algorithms SD Xenaki, KD Koutroumbas, AA Rontogiannis IEEE Transactions on Fuzzy Systems 24 (6), 1611-1626, 2016 | 31 | 2016 |
| On the unmixing of MEx/OMEGA hyperspectral data KE Themelis, F Schmidt, O Sykioti, AA Rontogiannis, KD Koutroumbas, ... Planetary and Space Science 68 (1), 34-41, 2012 | 27 | 2012 |
| Ionospheric foF2 forecast over Europe based on an autoregressive modeling technique driven by solar wind parameters I Tsagouri, K Koutroumbas, A Belehaki Radio Science 44 (01), 1-21, 2009 | 27 | 2009 |
| Generalized Hamming networks and applications K Koutroumbas, N Kalouptsidis Neural Networks 18 (7), 896-913, 2005 | 25 | 2005 |
