EDBT 2026 Demo / reviewers in the wild / expert
Andonis Papaleonidas
dblp:118/9974 · also Antonios Papaleonidas
· DBLP profile ↗
23ranked-venue papers
2as first author
14since 2021 · last 2025
0000-0002-0545-7638ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 23 · 2 first-author · 14 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | An Integrated Approach for Short-Term Forecasting of Highway Vehicle Flows Based on Singular Spectrum Analysis and Artificial Neural Networks
Nikiforos Botzoris, Anastasios Panagiotis Psathas, Andonis Papaleonidas, Lazaros S. Iliadis |
EANN (2) | 3 |
| 2025 | Estimation of River Ebro Streamflow Using Fuzzy Inference Systems and FCM
Anastasios Panagiotis Psathas, Stamatios Petkopoulos, Andonis Papaleonidas, Luis Garrote 0002, Mike Spiliotis, Lazaros S. Iliadis |
EANN (2) | 3 |
| 2025 | Forecasting vehicle crossing volumes by using Nonlinear Autoregressive Neural Networks sets
Ioannis Skopelitis, Andonis Papaleonidas, Anastasios Panagiotis Psathas, Lazaros S. Iliadis, George N. Botzoris |
EANN (2) | 2 |
| 2024 | HEDL-IDS2: An Innovative Hybrid Ensemble Deep Learning Prototype for Cyber Intrusion Detection
Anastasios Panagiotis Psathas, Lazaros S. Iliadis, Andonis Papaleonidas, Elias Pimenidis |
EANN | 3 |
| 2023 | Conductivity Classification Using Machine Learning Algorithms in the "Bramianon" Dam
Nichat Kiourt, Lazaros S. Iliadis, Andonis Papaleonidas |
EANN | 3 |
| 2023 | Strain Prediction of a Bridge Deploying Autoregressive Models with ARIMA and Machine Learning Algorithms
Anastasios Panagiotis Psathas, Lazaros S. Iliadis, Andonis Papaleonidas |
EANN | 3 |
| 2023 | Adaptive Reservoir Neural Gas: An Effective Clustering Algorithm for Addressing Concept Drift in Real-Time Data Streams
Konstantinos Demertzis, Lazaros S. Iliadis, Andonis Papaleonidas |
ICANN (6) | 3 |
| 2023 | Can Machine Learning Support Improvement in Effective Nutrition of Patients in Critical Care Units?
Elias Pimenidis, Kamran Soomro, Andonis Papaleonidas, Anastasios Panagiotis Psathas |
ICANN (8) | 3 |
| 2022 | Autoregressive Deep Learning Models for Bridge Strain Prediction
Anastasios Panagiotis Psathas, Lazaros S. Iliadis, Dimitra V. Achillopoulou, Andonis Papaleonidas, Nikoleta K. Stamataki, Dimitris Bountas, Ioannis M. Dokas |
EANN | 4 |
| 2022 | An IoT Authentication Framework for Urban Infrastructure Security Using Blockchain and Deep Learning
Anastasios Panagiotis Psathas, Lazaros S. Iliadis, Andonis Papaleonidas, Dimitris Bountas |
EANN | 3 |
| 2022 | An Innovate Hybrid Approach for Residence Price Using Fuzzy C-Means and Machine Learning Techniques
Andonis Papaleonidas, Konstantinos Lykostratis, Anastasios Panagiotis Psathas, Lazaros S. Iliadis, Maria Giannopoulou |
ICANN (4) | 1 |
| 2022 | COREM2 project: a beginning to end approach for cyber intrusion detection
Anastasios Panagiotis Psathas, Lazaros S. Iliadis, Andonis Papaleonidas, Dimitris Bountas |
Neural Comput. Appl. | 3 |
| 2021 | A Hybrid Deep Learning Ensemble for Cyber Intrusion Detection
Anastasios Panagiotis Psathas, Lazaros S. Iliadis, Andonis Papaleonidas, Dimitris Bountas |
EANN | 3 |
| 2021 | Hybrid Computational Intelligence Modeling of Coseismic Landslides' Severity
Anastasios Panagiotis Psathas, Andonis Papaleonidas, George Papathanassiou, Lazaros S. Iliadis, Sotirios Valkaniotis |
ICCCI | 2 |
| 2020 | Classification of Coseismic Landslides Using Fuzzy and Machine Learning Techniques
Anastasios Panagiotis Psathas, Andonis Papaleonidas, George Papathanassiou, Sotirios Valkaniotis, Lazaros S. Iliadis |
EANN | 2 |
| 2020 | Accomplished Reliability Level for Seismic Structural Damage Prediction Using Artificial Neural Networks
Magdalini Tyrtaiou, Andonis Papaleonidas, Anaxagoras Elenas, Lazaros S. Iliadis |
EANN | 2 |
| 2020 | Machine Learning Modeling of Human Activity Using PPG Signals
Anastasios Panagiotis Psathas, Andonis Papaleonidas, Lazaros S. Iliadis |
ICCCI | 2 |
| 2020 | An explanation-based approach for experiment reproducibility in recommender systems
Nikolaos Polatidis, Andonis Papaleonidas, Elias Pimenidis, Lazaros S. Iliadis |
Neural Comput. Appl. | 2 |
| 2018 | FuSSFFra, a fuzzy semi-supervised forecasting framework: the case of the air pollution in Athens
Ilias Bougoudis, Konstantinos Demertzis, Lazaros S. Iliadis, Vardis-Dimitris Anezakis, Andonis Papaleonidas |
Neural Comput. Appl. | 5 |
| 2016 | Semi-supervised Hybrid Modeling of Atmospheric Pollution in Urban Centers
Ilias Bougoudis, Konstantinos Demertzis, Lazaros S. Iliadis, Vardis-Dimitris Anezakis, Andonis Papaleonidas |
EANN | 5 |
| 2014 | Fuzzy Inference ANN Ensembles for Air Pollutants Modeling in a Major Urban Area: The Case of Athens
Ilias Bougoudis, Lazaros S. Iliadis, Andonis Papaleonidas |
EANN | 3 |
| 2012 | Employing ANN That Estimate Ozone in a Short-Term Scale When Monitoring Stations Malfunction
Andonis Papaleonidas, Lazaros S. Iliadis |
EANN | 1 |
| 2009 | Intelligent Agents Networks Employing Hybrid Reasoning: Application in Air Quality Monitoring and Improvement
Lazaros S. Iliadis, Andonis Papaleonidas |
EANN | 2 |