| Pattern recognition. S Theodoridis, K Koutroumbas IEEE Transactions on Neural Networks, 2009 | 12302 | 2009 |
| Machine learning: a Bayesian and optimization perspective S Theodoridis Academic press, 2015 | 1115* | 2015 |
| Introduction to pattern recognition: a matlab approach S Theodoridis, A Pikrakis, K Koutroumbas, D Cavouras Academic Press, 2010 | 633 | 2010 |
| Backpropagation learning for multilayer feed-forward neural networks using the conjugate gradient method EM Johansson, FU Dowla, DM Goodman International Journal of Neural Systems 2 (04), 291-301, 1991 | 506 | 1991 |
| A geometric approach to support vector machine (SVM) classification ME Mavroforakis, S Theodoridis IEEE transactions on neural networks 17 (3), 671-682, 2006 | 447 | 2006 |
| Efficient least squares adaptive algorithms for FIR transversal filtering GO Glentis, K Berberidis, S Theodoridis IEEE signal processing magazine 16 (4), 13-41, 1999 | 410 | 1999 |
| Preamble-based channel estimation in OFDM/OQAM systems: A review E Kofidis, D Katselis, A Rontogiannis, S Theodoridis Signal processing 93 (7), 2038-2054, 2013 | 284 | 2013 |
| Pattern recognition K Koutroumbas, S Theodoridis Academic Press, 2008 | 270 | 2008 |
| Adaptive system identification and signal processing algorithms N Kalouptsidis, S Theodoridis Prentice-Hall, Inc., 1993 | 265 | 1993 |
| Adaptive learning in a world of projections S Theodoridis, K Slavakis, I Yamada IEEE Signal Processing Magazine 28 (1), 97-123, 2010 | 260 | 2010 |
| Toward the 6G network era: Opportunities and challenges I Tomkos, D Klonidis, E Pikasis, S Theodoridis IT Professional 22 (1), 34-38, 2020 | 234 | 2020 |
| Extension of Wirtinger's calculus to reproducing kernel Hilbert spaces and the complex kernel LMS P Bouboulis, S Theodoridis IEEE Transactions on Signal Processing 59 (3), 964-978, 2010 | 197 | 2010 |
| FedLoc: Federated learning framework for data-driven cooperative localization and location data processing F Yin, Z Lin, Q Kong, Y Xu, D Li, S Theodoridis, SR Cui IEEE Open Journal of Signal Processing 1, 187-215, 2020 | 188 | 2020 |
| Online Sparse System Identification and Signal Reconstruction Using Projections Onto Weighted Balls Y Kopsinis, K Slavakis, S Theodoridis IEEE Transactions on Signal Processing 59 (3), 936-952, 2010 | 185 | 2010 |
| Adaptive robust distributed learning in diffusion sensor networks S Chouvardas, K Slavakis, S Theodoridis IEEE Transactions on Signal Processing 59 (10), 4692-4707, 2011 | 184 | 2011 |
| A fully automated scheme for mammographic segmentation and classification based on breast density and asymmetry SD Tzikopoulos, ME Mavroforakis, HV Georgiou, N Dimitropoulos, ... computer methods and programs in biomedicine 102 (1), 47-63, 2011 | 172 | 2011 |
| Violence content classification using audio features T Giannakopoulos, D Kosmopoulos, A Aristidou, S Theodoridis Advances in Artificial Intelligence: 4th Helenic Conference on AI, SETN 2006 …, 2006 | 169 | 2006 |
| Keyword-guided word spotting in historical printed documents using synthetic data and user feedback T Konidaris, B Gatos, K Ntzios, I Pratikakis, S Theodoridis, SJ Perantonis International Journal of Document Analysis and Recognition (IJDAR) 9, 167-177, 2007 | 161 | 2007 |
| Audio-visual fusion for detecting violent scenes in videos T Giannakopoulos, A Makris, D Kosmopoulos, S Perantonis, ... Artificial Intelligence: Theories, Models and Applications: 6th Hellenic …, 2010 | 152 | 2010 |
| Mammographic masses characterization based on localized texture and dataset fractal analysis using linear, neural and support vector machine classifiers ME Mavroforakis, HV Georgiou, N Dimitropoulos, D Cavouras, ... Artificial intelligence in medicine 37 (2), 145-162, 2006 | 152 | 2006 |
