Antonios Papaleonidas

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 22

Top Topics

Intrusion Detection

Top Venues

Neural Comput. Appl.

J. Inf. Telecommun.

Publications

Kiourt Nichat, Lazaros S. Iliadis, Christos Akratos, Antonios Papaleonidas
Artificial Intelligence Modeling of the Efficiency of a Biological Treatment Installation. AIAI (3) (2024)
Anastasios Panagiotis Psathas, Lazaros S. Iliadis, Antonios Papaleonidas, Elias Pimenidis
: An Innovative Hybrid Ensemble Deep Learning Prototype for Cyber Intrusion Detection. EANN (2024)
Anastasios Panagiotis Psathas, Lazaros S. Iliadis, Antonios Papaleonidas
Strain Prediction of a Bridge Deploying Autoregressive Models with ARIMA and Machine Learning Algorithms. EANN (2023)
Kiourt Nichat, Lazaros S. Iliadis, Antonios Papaleonidas
Conductivity Classification Using Machine Learning Algorithms in the "Bramianon" Dam. EANN (2023)
Elias Pimenidis, Kamran Soomro, Antonios Papaleonidas, Anastasios Panagiotis Psathas
Can Machine Learning Support Improvement in Effective Nutrition of Patients in Critical Care Units? ICANN (8) (2023)
Anastasios Panagiotis Psathas, Lazaros Iliadis, Antonios Papaleonidas, Dimitris Bountas
An IoT Authentication Framework for Urban Infrastructure Security Using Blockchain and Deep Learning. EANN (2022)
Antonios Papaleonidas, Konstantinos Lykostratis, Anastasios Panagiotis Psathas, Lazaros Iliadis, Maria Giannopoulou
An Innovate Hybrid Approach for Residence Price Using Fuzzy C-Means and Machine Learning Techniques. ICANN (4) (2022)
Anastasios Panagiotis Psathas, Lazaros S. Iliadis, Antonios Papaleonidas, Dimitris Bountas
project: a beginning to end approach for cyber intrusion detection. Neural Comput. Appl. 34 (22) (2022)
Anastasios Panagiotis Psathas, Antonios Papaleonidas, Lazaros Iliadis, George Papathanassiou, Sotirios Valkaniotis
COLAFOS: a hybrid machine learning model to forecast potential coseismic landslides severity. J. Inf. Telecommun. 6 (4) (2022)
Anastasios Panagiotis Psathas, Lazaros Iliadis, Antonios Papaleonidas, Dimitris Bountas
HEDL-IDS: A Hybrid Ensemble Deep Learning Approach for Cyber Intrusion Detection. AIAI (1) (2022)
Antonios Papaleonidas, Anastasios Panagiotis Psathas, Lazaros Iliadis
High accuracy human activity recognition using machine learning and wearable devices' raw signals. J. Inf. Telecommun. 6 (3) (2022)
Anastasios Panagiotis Psathas, Lazaros Iliadis, Dimitra V. Achillopoulou, Antonios Papaleonidas, Nikoleta K. Stamataki, Dimitris Bountas, Ioannis M. Dokas
Autoregressive Deep Learning Models for Bridge Strain Prediction. EANN (2022)
Anastasios Panagiotis Psathas, Antonios Papaleonidas, Lazaros Iliadis
A Machine Learning Approach for Recognition of Elders' Activities Using Passive Sensors. AIAI Workshops (2021)
Anastasios Panagiotis Psathas, Lazaros Iliadis, Antonios Papaleonidas, Dimitris Bountas
A Hybrid Deep Learning Ensemble for Cyber Intrusion Detection. EANN (2021)
Anastasios Panagiotis Psathas, Antonios Papaleonidas, George Papathanassiou, Lazaros Iliadis, Sotirios Valkaniotis
Hybrid Computational Intelligence Modeling of Coseismic Landslides' Severity. ICCCI (2021)
Anastasios Panagiotis Psathas, Antonios Papaleonidas, Lazaros Iliadis
Machine Learning Modeling of Human Activity Using PPG Signals. ICCCI (2020)
Nikolaos Polatidis, Antonios Papaleonidas, Elias Pimenidis, Lazaros Iliadis
An explanation-based approach for experiment reproducibility in recommender systems. Neural Comput. Appl. 32 (16) (2020)
Magdalini Tyrtaiou, Antonios Papaleonidas, Anaxagoras Elenas, Lazaros S. Iliadis
Accomplished Reliability Level for Seismic Structural Damage Prediction Using Artificial Neural Networks. EANN (2020)
Anastasios Panagiotis Psathas, Antonios Papaleonidas, George Papathanassiou, Sotiris Valkaniotis, Lazaros S. Iliadis
Classification of Coseismic Landslides Using Fuzzy and Machine Learning Techniques. EANN (2020)
Antonios Papaleonidas, Elias Pimenidis, Lazaros S. Iliadis
Hybrid Data Set Optimization in Recommender Systems Using Fuzzy T-Norms. AIAI (2019)
Ilias Bougoudis, Konstantinos Demertzis, Lazaros S. Iliadis, Vardis-Dimitris Anezakis, Antonios Papaleonidas
FuSSFFra, a fuzzy semi-supervised forecasting framework: the case of the air pollution in Athens. Neural Comput. Appl. 29 (7) (2018)
Ilias Bougoudis, Konstantinos Demertzis, Lazaros S. Iliadis, Vardis-Dimitris Anezakis, Antonios Papaleonidas
Semi-supervised Hybrid Modeling of Atmospheric Pollution in Urban Centers. EANN (2016)
Ilias Bougoudis, Lazaros S. Iliadis, Antonios Papaleonidas
Fuzzy Inference ANN Ensembles for Air Pollutants Modeling in a Major Urban Area: The Case of Athens. EANN (2014)
Antonios Papaleonidas, Lazaros S. Iliadis
Neurocomputing techniques to dynamically forecast spatiotemporal air pollution data. Evol. Syst. 4 (4) (2013)
Antonios Papaleonidas, Lazaros S. Iliadis
Employing ANN That Estimate Ozone in a Short-Term Scale When Monitoring Stations Malfunction. EANN (2012)
Lazaros S. Iliadis, Antonios Papaleonidas
Intelligent Agents Networks Employing Hybrid Reasoning: Application in Air Quality Monitoring and Improvement. EANN (2009)