| The Evolution of e‑Learning in the Context of 3D Virtual Worlds T Kotsilieris, N Dimopoulou Electronic Journal of e-Learning 11 (2), 147‑167, 2013 | 56 | 2013 |
| A mobile agent enabled wireless sensor network for river water monitoring T Kotsilieris, GT Karetsos 2008 The Fourth International Conference on Wireless and Mobile …, 2008 | 18 | 2008 |
| The impact of social networks on health care T Kotsilieris, A Pavlaki, S Christopoulou, I Anagnostopoulos Social Network Analysis and Mining 7 (1), 18, 2017 | 12 | 2017 |
| DSS-PSP-a decision support software for evaluating students’ performance IE Livieris, K Drakopoulou, T Kotsilieris, V Tampakas, P Pintelas International Conference on Engineering Applications of Neural Networks, 63-74, 2017 | 12 | 2017 |
| Improving the evaluation process of students’ performance utilizing a decision support software IE Livieris, T Kotsilieris, V Tampakas, P Pintelas Neural Computing and Applications 31 (6), 1683-1694, 2019 | 11 | 2019 |
| Enhancing the performance of mobile agent based network management applications A Michalas, T Kotsilieris, S Kalogeropoulos, G Karetsos, M Sidi, V Loumos Proceedings. Sixth IEEE Symposium on Computers and Communications, 432-437, 2001 | 11 | 2001 |
| A review of machine learning prediction methods for anxiety disorders EG Pintelas, T Kotsilieris, IE Livieris, P Pintelas Proceedings of the 8th International Conference on Software Development and …, 2018 | 10 | 2018 |
| Bank loan processes modelling using BPMN G Mpardis, T Kotsilieris 2010 Developments in E-systems Engineering, 239-242, 2010 | 10 | 2010 |
| Forecasting stock price index movement using a constrained deep neural network training algorithm IE Livieris, T Kotsilieris, S Stavroyiannis, P Pintelas Intelligent Decision Technologies, 1-11, 2019 | 9 | 2019 |
| Predicting length of stay in hospitalized patients using SSL algorithms IE Livieris, IF Dimopoulos, T Kotsilieris, P Pintelas Proceedings of the 8th International Conference on Software Development and …, 2018 | 7 | 2018 |
| Reviewing machine learning techniques for predicting anxiety disorders. T Kotsilieris, I Livieris, P Pintelas, E Pintelas TR01-18, 2018 | 7* | 2018 |
| Weight-constrained neural networks in forecasting tourist volumes: A case study IE Livieris, E Pintelas, T Kotsilieris, S Stavroyiannis, P Pintelas Electronics 8 (9), 1005, 2019 | 6 | 2019 |
| Investigating the problem of cryptocurrency price prediction: a deep learning approach E Pintelas, IE Livieris, S Stavroyiannis, T Kotsilieris, P Pintelas IFIP International Conference on Artificial Intelligence Applications and …, 2020 | 5 | 2020 |
| Prolonging the Lifetime of Two-Tiered Wireless Sensor Networks with Mobile Relays TC kotsilieris, GT Karetsos ISRN Sensor Networks 2013, 2013 | 5 | 2013 |
| Fundamental research questions and proposals on predicting cryptocurrency prices using DNNs P Pintelas, T Kotsilieris, I Livieris, E Pintelas, S Stavroyiannis TR20-01, 2020 | 4 | 2020 |
| Decision support software for forecasting patient’s length of stay IE Livieris, T Kotsilieris, I Dimopoulos, P Pintelas Algorithms 11 (12), 199, 2018 | 4 | 2018 |
| Assessment of health information technology interventions in evidence-based medicine: a systematic review by adopting a methodological evaluation framework SC Christopoulou, T Kotsilieris, I Anagnostopoulos Healthcare 6 (3), 109, 2018 | 4 | 2018 |
| Evidence-based health and clinical informatics: a systematic review on randomized controlled trials SC Christopoulou, T Kotsilieris, I Anagnostopoulos Health and Technology, 1-14, 2017 | 3 | 2017 |
| A review of 3D Virtual Worlds in medical and health education S Christopoulou, T Kotsilieris, N Dimopoulou, J Papoutsis 2013 E-Health and Bioengineering Conference (EHB), 1-4, 2013 | 3 | 2013 |
| An open e-learning framework within a high availability network infrastructure T Kotsilieris, S Cotsakis, V Loumos, W Kayafas International Conference Automatics and Informatics 3, 25-28, 2003 | 3 | 2003 |
