| An application of supervised and unsupervised learning approaches to telecommunications fraud detection CS Hilas, PA Mastorocostas Knowledge-Based Systems 21 (7), 721-726, 2008 | 152 | 2008 |
| Designing an expert system for fraud detection in private telecommunications networks CS Hilas Expert Systems with applications 36 (9), 11559-11569, 2009 | 91 | 2009 |
| User profiling for fraud detection in telecommunication networks CS Hilas, JN Sahalos 5th International conference on technology and automation, 382-387, 2005 | 69 | 2005 |
| 3D geospatial visualizations: Animation and motion effects on spatial objects K Evangelidis, T Papadopoulos, K Papatheodorou, P Mastorokostas, ... Computers & geosciences 111, 200-212, 2018 | 64 | 2018 |
| Pareto optimal design of dual-band base station antenna arrays using multi-objective particle swarm optimization with fitness sharing SK Goudos, ZD Zaharis, DG Kampitaki, IT Rekanos, CS Hilas IEEE Transactions on Magnetics 45 (3), 1522-1525, 2009 | 54 | 2009 |
| Seasonal decomposition and forecasting of telecommunication data: A comparative case study CS Hilas, SK Goudos, JN Sahalos Technological Forecasting and Social Change 73 (5), 495-509, 2006 | 47 | 2006 |
| Information security awareness of greek higher education students—Preliminary findings AP Filippidis, CS Hilas, G Filippidis, A Politis 2018 7th International Conference on Modern Circuits and Systems …, 2018 | 34 | 2018 |
| Clustering of telecommunications user profiles for fraud detection and security enhancement in large corporate networks: a case study CS Hilas, PA Mastorocostas, IT Rekanos Appl. Math. Inf. Sci 9 (4), 1709, 2015 | 31 | 2015 |
| An application of decision trees for rule extraction towards telecommunications fraud detection CS Hilas, JN Sahalos Knowledge-Based Intelligent Information and Engineering Systems: 11th …, 2007 | 29 | 2007 |
| An inverse scattering approach based on the differential E-formulation IT Rekanos, TV Yioultsis, CS Hilas IEEE transactions on geoscience and remote sensing 42 (7), 1456-1461, 2004 | 29 | 2004 |
| A comparative study of common and self-adaptive differential evolution strategies on numerical benchmark problems SK Goudos, KB Baltzis, K Antoniadis, ZD Zaharis, CS Hilas Procedia Computer Science 3, 83-88, 2011 | 28 | 2011 |
| Circuit design: a study on voltage-mode to current-mode conversion techniques CS Hilas, T Laopoulos Proceedings of 8th Mediterranean Electrotechnical Conference on Industrial …, 1996 | 26 | 1996 |
| Testing the fraud detection ability of different user profiles by means of FF-NN classifiers CS Hilas, JN Sahalos International Conference on Artificial Neural Networks, 872-883, 2006 | 25 | 2006 |
| Change Point Detection in Time Series Using Higher‐Order Statistics: A Heuristic Approach CS Hilas, IT Rekanos, PA Mastorocostas Mathematical Problems in Engineering 2013 (1), 317613, 2013 | 23 | 2013 |
| Motivating students’ participation in a computer networks course by means of magic, drama and games CS Hilas, A Politis SpringerPlus 3, 1-12, 2014 | 20 | 2014 |
| A comparative study of particle swarm optimization and differential evolution on radar absorbing materials design for EMC applications SK Goudos, ZD Zaharis, KB Baltzis, CS Hilas, JN Sahalos 2009 International Symposium on Electromagnetic Compatibility-EMC Europe, 1-4, 2009 | 19 | 2009 |
| A genetic programming approach to telecommunications fraud detection and classification CS Hilas, SA Kazarlis, IT Rekanos, PA Mastorocostas Proc. 2014 Int. Conf. Circuits, Syst. Signal Process. Commun. Comput, 77-83, 2014 | 18 | 2014 |
| A computational intelligence-based forecasting system for telecommunications time series P Mastorocostas, C Hilas Engineering Applications of Artificial Intelligence 25 (1), 200-206, 2012 | 15 | 2012 |
| A block-diagonal recurrent fuzzy neural network for system identification PA Mastorocostas, CS Hilas Neural Computing and Applications 18, 707-717, 2009 | 14 | 2009 |
| A recurrent neural network-based forecasting system for telecommunications call volume P Mastorocostas, C Hilas, D Varsamis, S Dova Applied Mathematics & Information Sciences 7 (5), 1643, 2013 | 12 | 2013 |
