| Blockchain in Agriculture Traceability Systems: A Review K Demestichas, N Peppes, T Alexakis, E Adamopoulou Applied Sciences 10 (12), 4113, 2020 | 433 | 2020 |
| User Profile Modeling in the context of web-based learning management systems Y Kritikou, P Demestichas, E Adamopoulou, K Demestichas, M Theologou, ... Journal of Network and Computer Applications 31 (4), 603-627, 2008 | 119 | 2008 |
| Intelligent access network selection in heterogeneous networks-simulation results E Adamopoulou, K Demestichas, A Koutsorodi, M Theologou 12th European Wireless Conference 2006-Enabling Technologies for Wireless …, 2006 | 69 | 2006 |
| Intelligent access network selection in heterogeneous networks E Adamopoulou, K Demestichas, A Koutsorodi, M Theologou IEEE, 2005 | 69* | 2005 |
| Performance of Machine Learning-Based Multi-Model Voting Ensemble Methods for Network Threat Detection in Agriculture 4.0 N Peppes, E Daskalakis, T Alexakis, E Adamopoulou, K Demestichas Sensors 21 (22), 7475, 2021 | 62 | 2021 |
| Enhancing channel estimation in cognitive radio systems by means of Bayesian networks P Demestichas, A Katidiotis, KA Tsagkaris, EF Adamopoulou, ... Wireless personal communications 49, 87-105, 2009 | 49 | 2009 |
| Driving Behaviour Analysis Using Machine and Deep Learning Methods for Continuous Streams of Vehicular Data N Peppes, T Alexakis, E Adamopoulou, K Demestichas Sensors 21 (14), 4704, 2021 | 45 | 2021 |
| Enhanced estimation of configuration capabilities in cognitive radio E Adamopoulou, K Demestichas, M Theologou IEEE Communications Magazine 46 (4), 56-63, 2008 | 41 | 2008 |
| Machine-learning methodology for energy efficient routing M Masikos, K Demestichas, E Adamopoulou, M Theologou IET Intelligent Transport Systems 8 (3), 255-265, 2014 | 37 | 2014 |
| Terminal management and intelligent access selection in heterogeneous environments AA Koutsorodi, EF Adamopoulou, KP Demestichas, ME Theologou Mobile Networks and Applications 11, 861-871, 2006 | 33 | 2006 |
| Energy-efficient routing based on vehicular consumption predictions of a mesoscopic learning model M Masikos, K Demestichas, E Adamopoulou, M Theologou Applied Soft Computing 28, 114-124, 2015 | 31 | 2015 |
| Dynamic Backhaul Resource Allocation: An Evolutionary Game Theoretic Approach I Loumiotis, E Adamopoulou, K Demestichas, T Stamatiadi, M Theologou IEEE 2 (62), 691-698, 0 | 28* | |
| Mesoscopic forecasting of vehicular consumption using neural networks M Masikos, K Demestichas, E Adamopoulou, M Theologou Soft Computing 19, 145-156, 2015 | 27 | 2015 |
| Food for Thought: Fighting Fake News and Online Disinformation K Demestichas, K Remoundou, E Adamopoulou IT Professional 22 (2), 28-34, 2020 | 26 | 2020 |
| The Effectiveness of Zero-Day Attacks Data Samples Generated via GANs on Deep Learning Classifiers N Peppes, T Alexakis, E Adamopoulou, K Demestichas Sensors 23 (2), 900, 2023 | 23 | 2023 |
| Comparative Analysis of Machine Learning-Based Approaches for Anomaly Detection in Vehicular Data K Demestichas, T Alexakis, N Peppes, E Adamopoulou Vehicles 3 (2), 171-186, 2021 | 20 | 2021 |
| Road Traffic Prediction Using Artificial Neural Networks I Loumiotis, K Demestichas, E Adamopoulou, P Kosmides, ... 2018 South-Eastern European Design Automation, Computer Engineering …, 2018 | 18 | 2018 |
| A location recommender system for location-based social networks P Kosmides, C Remoundou, K Demestichas, I Loumiotis, E Adamopoulou, ... 2014 International Conference on Mathematics and Computers in Sciences and …, 2014 | 18 | 2014 |
| Modelling user preferences and configuring services in B3G devices KP Demestichas, AA Koutsorodi, EF Adamopoulou, ME Theologou Wireless Networks 14, 699-713, 2008 | 18 | 2008 |
| Distributed web-based management framework for ambient reconfigurable services in the intelligent environment V Stavroulaki, K Demestichas, E Adamopoulou, P Demestichas Mobile Networks and Applications 11, 889-900, 2006 | 18 | 2006 |
Konstantinos DemestichasAgricultural University of AthensVerified email at aua.gr
