Anastasios Panagiotis Psathas

According to our database, Anastasios Panagiotis Psathas authored at least 16 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

HEDL-IDS²: An Innovative Hybrid Ensemble Deep Learning Prototype for Cyber Intrusion Detection.

Anastasios Panagiotis Psathas, Lazaros S. Iliadis, Antonios Papaleonidas, Elias Pimenidis

Proceedings of the Engineering Applications of Neural Networks, 2024

2023

Can Machine Learning Support Improvement in Effective Nutrition of Patients in Critical Care Units?

Elias Pimenidis, Kamran Soomro, Antonios Papaleonidas, Anastasios Panagiotis Psathas

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

Strain Prediction of a Bridge Deploying Autoregressive Models with ARIMA and Machine Learning Algorithms.

Anastasios Panagiotis Psathas, Lazaros S. Iliadis, Antonios Papaleonidas

Proceedings of the Engineering Applications of Neural Networks, 2023

2022

Ανάπτυξη δυναμικών προτύπων ανάλυσης ασφάλειας κρίσιμων υποδομών και κυβερνοσυστημάτων μέσω υβριδικών ευφυών προσεγγίσεων

Anastasios Panagiotis Psathas

PhD thesis, 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

COLAFOS: a hybrid machine learning model to forecast potential coseismic landslides severity.

Anastasios Panagiotis Psathas, Antonios Papaleonidas, Lazaros Iliadis, George Papathanassiou, Sotirios Valkaniotis

J. Inf. Telecommun., 2022

High accuracy human activity recognition using machine learning and wearable devices' raw signals.

Antonios Papaleonidas, Anastasios Panagiotis Psathas, Lazaros Iliadis

J. Inf. Telecommun., 2022

HEDL-IDS: A Hybrid Ensemble Deep Learning Approach for Cyber Intrusion Detection.

Anastasios Panagiotis Psathas, Lazaros Iliadis, Antonios Papaleonidas, Dimitris Bountas

Proceedings of the Artificial Intelligence Applications and Innovations, 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, Maria Giannopoulou

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

An IoT Authentication Framework for Urban Infrastructure Security Using Blockchain and Deep Learning.

Anastasios Panagiotis Psathas, Lazaros Iliadis, Antonios Papaleonidas, Dimitris Bountas

Proceedings of the Engineering Applications of Neural Networks, 2022

Autoregressive Deep Learning Models for Bridge Strain Prediction.

Anastasios Panagiotis Psathas, Lazaros Iliadis, Dimitra V. Achillopoulou, Antonios Papaleonidas, Nikoleta K. Stamataki, Dimitris Bountas, Ioannis M. Dokas

Proceedings of the Engineering Applications of Neural Networks, 2022

2021

A Machine Learning Approach for Recognition of Elders' Activities Using Passive Sensors.

Anastasios Panagiotis Psathas, Antonios Papaleonidas, Lazaros Iliadis

Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2021 IFIP WG 12.5 International Workshops, 2021

Hybrid Computational Intelligence Modeling of Coseismic Landslides' Severity.

Anastasios Panagiotis Psathas, Antonios Papaleonidas, George Papathanassiou, Lazaros Iliadis, Sotirios Valkaniotis

Proceedings of the Computational Collective Intelligence - 13th International Conference, 2021

A Hybrid Deep Learning Ensemble for Cyber Intrusion Detection.

Anastasios Panagiotis Psathas, Lazaros Iliadis, Antonios Papaleonidas, Dimitris Bountas

Proceedings of the 22nd Engineering Applications of Neural Networks Conference, 2021

2020

Machine Learning Modeling of Human Activity Using PPG Signals.

Anastasios Panagiotis Psathas, Antonios Papaleonidas, Lazaros Iliadis

Proceedings of the Computational Collective Intelligence - 12th International Conference, 2020

Classification of Coseismic Landslides Using Fuzzy and Machine Learning Techniques.

Anastasios Panagiotis Psathas, Antonios Papaleonidas, George Papathanassiou, Sotiris Valkaniotis, Lazaros S. Iliadis

Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, 2020