| FuSSFFra, a fuzzy semi-supervised forecasting framework: the case of the air pollution in Athens I Bougoudis, K Demertzis, L Iliadis, VD Anezakis, A Papaleonidas Neural Computing and Applications 29, 375-388, 2018 | 35 | 2018 |
| Semi-supervised hybrid modeling of atmospheric pollution in urban centers I Bougoudis, K Demertzis, L Iliadis, VD Anezakis, A Papaleonidas Engineering Applications of Neural Networks: 17th International Conference …, 2016 | 31 | 2016 |
| Hybrid and reinforcement multi agent technology for real time air pollution monitoring A Papaleonidas, L Iliadis Artificial Intelligence Applications and Innovations: 8th IFIP WG 12.5 …, 2012 | 23 | 2012 |
| Fuzzy inference ANN ensembles for air pollutants modeling in a major urban area: the case of Athens I Bougoudis, L Iliadis, A Papaleonidas Engineering Applications of Neural Networks: 15th International Conference …, 2014 | 21 | 2014 |
| Computational intelligence and intelligent agents L Iliadis, A Papaleonidas Thessaloniki, Greece 448, 2016 | 13 | 2016 |
| Neurocomputing techniques to dynamically forecast spatiotemporal air pollution data A Papaleonidas, L Iliadis Evolving Systems 4, 221-233, 2013 | 13 | 2013 |
| Intelligent Agents Networks Employing Hybrid Reasoning: Application in Air Quality Monitoring and Improvement LS Iliadis, A Papaleonidas Engineering Applications of Neural Networks: 11th International Conference …, 2009 | 11 | 2009 |
| A hybrid deep learning ensemble for cyber intrusion detection AP Psathas, L Iliadis, A Papaleonidas, D Bountas Proceedings of the 22nd Engineering Applications of Neural Networks …, 2021 | 8 | 2021 |
| Machine learning modeling of human activity using PPG signals AP Psathas, A Papaleonidas, L Iliadis Computational Collective Intelligence: 12th International Conference, ICCCI …, 2020 | 8 | 2020 |
| Accomplished Reliability Level for Seismic Structural Damage Prediction Using Artificial Neural Networks M Tyrtaiou, A Papaleonidas, A Elenas, L Iliadis Proceedings of the 21st EANN (Engineering Applications of Neural Networks …, 2020 | 7 | 2020 |
| Classification of coseismic landslides using fuzzy and machine learning techniques AP Psathas, A Papaleonidas, G Papathanassiou, S Valkaniotis, L Iliadis Proceedings of the 21st EANN (Engineering Applications of Neural Networks …, 2020 | 6 | 2020 |
| An explanation-based approach for experiment reproducibility in recommender systems N Polatidis, A Papaleonidas, E Pimenidis, L Iliadis Neural Computing and Applications 32, 12259-12266, 2020 | 4 | 2020 |
| Structural Damage Prediction Under Seismic Sequence Using Neural Networks PC Lazaridis, IE Kavvadias, K Demertzis, L Iliadis, A Papaleonidas, ... | 2 | 2021 |
| A machine learning approach for recognition of elders’ activities using passive sensors AP Psathas, A Papaleonidas, L Iliadis Artificial Intelligence Applications and Innovations. AIAI 2021 IFIP WG 12.5 …, 2021 | 2 | 2021 |
| Employing ANN that estimate Ozone in a short-term scale when monitoring stations malfunction A Papaleonidas, L Iliadis Engineering Applications of Neural Networks: 13th International Conference …, 2012 | 2 | 2012 |
| High accuracy human activity recognition using machine learning and wearable devices’ raw signals A Papaleonidas, AP Psathas, L Iliadis Journal of Information and Telecommunication 6 (3), 237-253, 2022 | 1 | 2022 |
| COREM2 project: a beginning to end approach for cyber intrusion detection AP Psathas, L Iliadis, A Papaleonidas, D Bountas Neural Computing and Applications, 1-20, 2022 | 1 | 2022 |
| COLAFOS: a hybrid machine learning model to forecast potential coseismic landslides severity AP Psathas, A Papaleonidas, L Iliadis, G Papathanassiou, S Valkaniotis Journal of Information and Telecommunication 6 (4), 420-449, 2022 | | 2022 |
| An Innovate Hybrid Approach for Residence Price Using Fuzzy C-Means and Machine Learning Techniques A Papaleonidas, K Lykostratis, AP Psathas, L Iliadis, M Giannopoulou Artificial Neural Networks and Machine Learning–ICANN 2022: 31st …, 2022 | | 2022 |
| Artificial Neural Networks and Machine Learning–ICANN 2022: 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings, Part I E Pimenidis, P Angelov, C Jayne, A Papaleonidas, M Aydin Springer Nature, 2022 | | 2022 |
