Intelligent Agents Networks Employing Hybrid Reasoning: Application in Air Quality Monitoring and Improvement. - Lazaros S. Iliadis; Antonios Papaleonidas (EANN, 2009)

Employing ANN That Estimate Ozone in a Short-Term Scale When Monitoring Stations Malfunction. - Antonios Papaleonidas; Lazaros S. Iliadis (EANN, 2012)

Hybrid and Reinforcement Multi Agent Technology for Real Time Air Pollution Monitoring. - Andonis Papaleonidas; Lazaros S. Iliadis (AIAI (1), 2012)

Neurocomputing techniques to dynamically forecast spatiotemporal air pollution data. - Antonios Papaleonidas; Lazaros S. Iliadis (Evol. Syst., 2013)

Fuzzy Inference ANN Ensembles for Air Pollutants Modeling in a Major Urban Area: The Case of Athens. - Ilias Bougoudis; Lazaros S. Iliadis; Antonios Papaleonidas (EANN, 2014)

Semi-supervised Hybrid Modeling of Atmospheric Pollution in Urban Centers. - Ilias Bougoudis; Konstantinos Demertzis; Lazaros S. Iliadis; Vardis-Dimitris Anezakis; Antonios Papaleonidas (EANN, 2016)

Ανάπτυξη κατανεμημένου δικτύου ευφυών πρακτόρων υβριδικής νόησης, για την ανάλυση - παρακολούθηση περιβαλλοντικών προβλημάτων με σκοπό τη διαχείρισή τους σε πραγματικό χρόνο - Andonis Papaleonidas (2016)

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; Antonios Papaleonidas (Neural Comput. Appl., 2018)

Hybrid Data Set Optimization in Recommender Systems Using Fuzzy T-Norms. - Antonios Papaleonidas; Elias Pimenidis; Lazaros S. Iliadis (AIAI, 2019)

Classification of Coseismic Landslides Using Fuzzy and Machine Learning Techniques. - Anastasios Panagiotis Psathas; Antonios Papaleonidas; George Papathanassiou; Sotiris Valkaniotis; Lazaros S. Iliadis (EANN, 2020)

Accomplished Reliability Level for Seismic Structural Damage Prediction Using Artificial Neural Networks. - Magdalini Tyrtaiou; Antonios Papaleonidas; Anaxagoras Elenas; Lazaros S. Iliadis (EANN, 2020)

Machine Learning Modeling of Human Activity Using PPG Signals. - Anastasios Panagiotis Psathas; Antonios Papaleonidas; Lazaros Iliadis 001 (ICCCI, 2020)

An explanation-based approach for experiment reproducibility in recommender systems. - Nikolaos Polatidis; Antonios Papaleonidas; Elias Pimenidis; Lazaros Iliadis 001 (Neural Comput. Appl., 2020)

A Hybrid Deep Learning Ensemble for Cyber Intrusion Detection. - Anastasios Panagiotis Psathas; Lazaros Iliadis 001; Antonios Papaleonidas; Dimitris Bountas (EANN, 2021)

Hybrid Computational Intelligence Modeling of Coseismic Landslides' Severity. - Anastasios Panagiotis Psathas; Antonios Papaleonidas; George Papathanassiou; Lazaros Iliadis 001; Sotirios Valkaniotis (ICCCI, 2021)

A Machine Learning Approach for Recognition of Elders' Activities Using Passive Sensors. - Anastasios Panagiotis Psathas; Antonios Papaleonidas; Lazaros Iliadis 001 (AIAI (Workshops), 2021)

Autoregressive Deep Learning Models for Bridge Strain Prediction. - Anastasios Panagiotis Psathas; Lazaros Iliadis 001; Dimitra V. Achillopoulou; Antonios Papaleonidas; Nikoleta K. Stamataki; Dimitris Bountas; Ioannis M. Dokas (EANN, 2022)

An IoT Authentication Framework for Urban Infrastructure Security Using Blockchain and Deep Learning. - Anastasios Panagiotis Psathas; Lazaros Iliadis 001; Antonios Papaleonidas; Dimitris Bountas (EANN, 2022)

An Innovate Hybrid Approach for Residence Price Using Fuzzy C-Means and Machine Learning Techniques. - Antonios Papaleonidas; Konstantinos Lykostratis; Anastasios Panagiotis Psathas; Lazaros Iliadis 001; Maria Giannopoulou (ICANN (4), 2022)

HEDL-IDS: A Hybrid Ensemble Deep Learning Approach for Cyber Intrusion Detection. - Anastasios Panagiotis Psathas; Lazaros Iliadis 001; Antonios Papaleonidas; Dimitris Bountas (AIAI (1), 2022)

High accuracy human activity recognition using machine learning and wearable devices' raw signals. - Antonios Papaleonidas; Anastasios Panagiotis Psathas; Lazaros Iliadis 001 (J. Inf. Telecommun., 2022)

COLAFOS: a hybrid machine learning model to forecast potential coseismic landslides severity. - Anastasios Panagiotis Psathas; Antonios Papaleonidas; Lazaros Iliadis 001; George Papathanassiou; Sotirios Valkaniotis (J. Inf. Telecommun., 2022)

COREM2 project: a beginning to end approach for cyber intrusion detection. - Anastasios Panagiotis Psathas; Lazaros S. Iliadis; Antonios Papaleonidas; Dimitris Bountas (Neural Comput. Appl., 2022)

Conductivity Classification Using Machine Learning Algorithms in the "Bramianon" Dam. - Nichat Kiourt; Lazaros S. Iliadis; Antonios Papaleonidas (EANN, 2023)

Strain Prediction of a Bridge Deploying Autoregressive Models with ARIMA and Machine Learning Algorithms. - Anastasios Panagiotis Psathas; Lazaros S. Iliadis; Antonios Papaleonidas (EANN, 2023)

Adaptive Reservoir Neural Gas: An Effective Clustering Algorithm for Addressing Concept Drift in Real-Time Data Streams. - Konstantinos Demertzis; Lazaros S. Iliadis; Antonios Papaleonidas (ICANN (6), 2023)

Can Machine Learning Support Improvement in Effective Nutrition of Patients in Critical Care Units? - Elias Pimenidis; Kamran Soomro; Antonios Papaleonidas; Anastasios Panagiotis Psathas (ICANN (8), 2023)

HEDL-IDS2: An Innovative Hybrid Ensemble Deep Learning Prototype for Cyber Intrusion Detection. - Anastasios Panagiotis Psathas; Lazaros S. Iliadis; Antonios Papaleonidas; Elias Pimenidis (EANN, 2024)

Artificial Intelligence Modeling of the Efficiency of a Biological Treatment Installation. - Nichat Kiourt; Lazaros S. Iliadis; Christos Akratos; Antonios Papaleonidas (AIAI (3), 2024)

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; Antonios Papaleonidas; Lazaros S. Iliadis (EANN (2), 2025)

Estimation of River Ebro Streamflow Using Fuzzy Inference Systems and FCM. - Anastasios Panagiotis Psathas; Stamatios Petkopoulos; Antonios Papaleonidas; Luis Garrote 002; Mike Spiliotis; Lazaros S. Iliadis (EANN (2), 2025)

Forecasting vehicle crossing volumes by using Nonlinear Autoregressive Neural Networks sets. - Ioannis Skopelitis; Antonios Papaleonidas; Anastasios Panagiotis Psathas; Lazaros Iliadis 001; George N. Botzoris (EANN (2), 2025)