Andonis Papaleonidas

Orcid: 0000-0002-0545-7638

Affiliations:
  • Democritus University of Thrace, Orestiada, Greece


According to our database1, Andonis Papaleonidas authored at least 29 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Artificial Intelligence Modeling of the Efficiency of a Biological Treatment Installation.
Proceedings of the Artificial Intelligence Applications and Innovations, 2024

HEDL-IDS<sup>2</sup>: An Innovative Hybrid Ensemble Deep Learning Prototype for Cyber Intrusion Detection.
Proceedings of the Engineering Applications of Neural Networks, 2024

2023
Can Machine Learning Support Improvement in Effective Nutrition of Patients in Critical Care Units?
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

Adaptive Reservoir Neural Gas: An Effective Clustering Algorithm for Addressing Concept Drift in Real-Time Data Streams.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Strain Prediction of a Bridge Deploying Autoregressive Models with ARIMA and Machine Learning Algorithms.
Proceedings of the Engineering Applications of Neural Networks, 2023

Conductivity Classification Using Machine Learning Algorithms in the "Bramianon" Dam.
Proceedings of the Engineering Applications of Neural Networks, 2023

2022
COREM<sup>2</sup> project: a beginning to end approach for cyber intrusion detection.
Neural Comput. Appl., 2022

COLAFOS: a hybrid machine learning model to forecast potential coseismic landslides severity.
J. Inf. Telecommun., 2022

High accuracy human activity recognition using machine learning and wearable devices' raw signals.
J. Inf. Telecommun., 2022

HEDL-IDS: A Hybrid Ensemble Deep Learning Approach for Cyber Intrusion Detection.
Proceedings of the Artificial Intelligence Applications and Innovations, 2022

An Innovate Hybrid Approach for Residence Price Using Fuzzy C-Means and Machine Learning Techniques.
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.
Proceedings of the Engineering Applications of Neural Networks, 2022

Autoregressive Deep Learning Models for Bridge Strain Prediction.
Proceedings of the Engineering Applications of Neural Networks, 2022

2021
A Machine Learning Approach for Recognition of Elders' Activities Using Passive Sensors.
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.
Proceedings of the Computational Collective Intelligence - 13th International Conference, 2021

A Hybrid Deep Learning Ensemble for Cyber Intrusion Detection.
Proceedings of the 22nd Engineering Applications of Neural Networks Conference, 2021

2020
An explanation-based approach for experiment reproducibility in recommender systems.
Neural Comput. Appl., 2020

Machine Learning Modeling of Human Activity Using PPG Signals.
Proceedings of the Computational Collective Intelligence - 12th International Conference, 2020

Accomplished Reliability Level for Seismic Structural Damage Prediction Using Artificial Neural Networks.
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, 2020

Classification of Coseismic Landslides Using Fuzzy and Machine Learning Techniques.
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, 2020

2019
Hybrid Data Set Optimization in Recommender Systems Using Fuzzy T-Norms.
Proceedings of the Artificial Intelligence Applications and Innovations, 2019

2018
FuSSFFra, a fuzzy semi-supervised forecasting framework: the case of the air pollution in Athens.
Neural Comput. Appl., 2018

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

Semi-supervised Hybrid Modeling of Atmospheric Pollution in Urban Centers.
Proceedings of the Engineering Applications of Neural Networks, 2016

2014
Fuzzy Inference ANN Ensembles for Air Pollutants Modeling in a Major Urban Area: The Case of Athens.
Proceedings of the Engineering Applications of Neural Networks, 2014

2013
Neurocomputing techniques to dynamically forecast spatiotemporal air pollution data.
Evol. Syst., 2013

2012
Hybrid and Reinforcement Multi Agent Technology for Real Time Air Pollution Monitoring.
Proceedings of the Artificial Intelligence Applications and Innovations, 2012

Employing ANN That Estimate Ozone in a Short-Term Scale When Monitoring Stations Malfunction.
Proceedings of the Engineering Applications of Neural Networks, 2012

2009
Intelligent Agents Networks Employing Hybrid Reasoning: Application in Air Quality Monitoring and Improvement.
Proceedings of the Engineering Applications of Neural Networks, 2009


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