L. Iliadis

Most-cited papers

1. Anomaly detection via blockchained deep learning smart contracts in industry 4.0

   Konstantinos Demertzis, L. Iliadis, Nikos Tziritas, P. Kikiras

   2020Neural computing & applications (Print)101 citations

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2. The Next Generation Cognitive Security Operations Center: Adaptive Analytic Lambda Architecture for Efficient Defense against Adversarial Attacks

   Konstantinos Demertzis, Nikos Tziritas, P. Kikiras, S. Sánchez +1 more

   2019Big Data and Cognitive Computing83 citations Open access

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3. Deep learning models for forecasting aviation demand time series

   Andreas Kanavos, Fotios Kounelis, L. Iliadis, C. Makris

   2021Neural computing & applications (Print)69 citations

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4. An interpretable machine learning method for the prediction of R/C buildings' seismic response

   K. Demertzis, K. Kostinakis, K. Morfidis, L. Iliadis

   2022Journal of Building Engineering63 citations Open access

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5. Structural Damage Prediction of a Reinforced Concrete Frame under Single and Multiple Seismic Events Using Machine Learning Algorithms

   Petros C. Lazaridis, Ioannis E. Kavvadias, Kostas Demertzis, L. Iliadis +1 more

   2022Applied Sciences62 citations Open access

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6. Gryphon: a semi-supervised anomaly detection system based on one-class evolving spiking neural network

   Konstantinos Demertzis, L. Iliadis, I. Bougoudis

   2019Neural computing & applications (Print)58 citations

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7. Darknet Traffic Big-Data Analysis and Network Management to Real-Time Automating the Malicious Intent Detection Process by a Weight Agnostic Neural Networks Framework

   Konstantinos Demertzis, Konstantinos G. Tsiknas, Dimitrios Takezis, C. Skianis +1 more

   2021Electronics51 citations Open access

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8. On ensemble techniques of weight-constrained neural networks

   I. Livieris, L. Iliadis, P. Pintelas

   2020Evolutionary Systematics44 citations

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9. Cognitive Web Application Firewall to Critical Infrastructures Protection from Phishing Attacks

   Konstantinos Demertzis, L. Iliadis

   201944 citations

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10. Smoothing and stationarity enforcement framework for deep learning time-series forecasting

    I. Livieris, S. Stavroyiannis, L. Iliadis, P. Pintelas

    2021Neural computing & applications (Print)42 citations Open access

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11. Classification of buildings' potential for seismic damage using a machine learning model with auto hyperparameter tuning

    K. Kostinakis, K. Morfidis, K. Demertzis, L. Iliadis

    2023Engineering structures36 citations

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12. A Machine Hearing Framework for Real-Time Streaming Analytics Using Lambda Architecture

    Konstantinos Demertzis, L. Iliadis, Vardis-Dimitris Anezakis

    2019International Conference on Engineering Applications of Neural Networks34 citations

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13. Cyber-Typhon: An Online Multi-task Anomaly Detection Framework

    Konstantinos Demertzis, L. Iliadis, P. Kikiras, Nikos Tziritas

    2019Artificial Intelligence Applications and Innovations33 citations Open access

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14. GeoAI: A Model-Agnostic Meta-Ensemble Zero-Shot Learning Method for Hyperspectral Image Analysis and Classification

    Konstantinos Demertzis, L. Iliadis

    2020Algorithms31 citations Open access

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15. Communication Network Standards for Smart Grid Infrastructures

    Kostas Demertzis, Konstantinos G. Tsiknas, Dimitrios Taketzis, Dimitrios N. Skoutas +3 more

    2021Network28 citations Open access

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16. Interpretable Machine Learning for Assessing the Cumulative Damage of a Reinforced Concrete Frame Induced by Seismic Sequences

    Petros C. Lazaridis, Ioannis E. Kavvadias, Kostas Demertzis, L. Iliadis +1 more

    2023Sustainability26 citations Open access

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17. A genetic algorithm for spatiosocial tensor clustering

    G. Drakopoulos, Foteini Stathopoulou, Andreas Kanavos, M. Paraskevas +3 more

    2019Evolutionary Systematics22 citations Open access

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18. A Secure and Privacy-Preserving Blockchain-Based XAI-Justice System

    K. Demertzis, K. Rantos, L. Magafas, C. Skianis +1 more

    2023Inf.21 citations Open access

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19. A Selective Survey Review of Computational Intelligence Applications in the Primary Subdomains of Civil Engineering Specializations

    Kostas Demertzis, Stavros Demertzis, L. Iliadis

    2023Applied Sciences20 citations Open access

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20. Transform-based graph topology similarity metrics

    G. Drakopoulos, Eleanna Kafeza, Phivos Mylonas, L. Iliadis

    2021Neural computing & applications (Print)18 citations

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21. Employing Fuzzy Logic to Analyze the Structure of Complex Biological and Epidemic Spreading Models

    Nickie Lefevr, Andreas Kanavos, V. Gerogiannis, L. Iliadis +1 more

    2021Mathematics17 citations Open access

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22. Variational restricted Boltzmann machines to automated anomaly detection

    Kostas Demertzis, L. Iliadis, E. Pimenidis, P. Kikiras

    2022Neural computing & applications (Print)15 citations Open access

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23. Geo-AI to aid disaster response by memory-augmented deep reservoir computing

    K. Demertzis, L. Iliadis, E. Pimenidis

    2021Integr. Comput. Aided Eng.15 citations Open access

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24. Pandemic Analytics by Advanced Machine Learning for Improved Decision Making of COVID-19 Crisis

    K. Demertzis, Dimitrios Taketzis, D. Tsiotas, Lykourgos Magafas +2 more

    2021Processes13 citations Open access

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25. An explainable semi-personalized federated learning model

    K. Demertzis, L. Iliadis, P. Kikiras, E. Pimenidis

    2022Integr. Comput. Aided Eng.12 citations Open access

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26. A Hybrid Deep Learning Ensemble for Cyber Intrusion Detection

    A. Psathas, L. Iliadis, Andonis Papaleonidas, Dimitris Bountas

    2021International Conference on Engineering Applications of Neural Networks12 citations

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27. Rapid Visual Screening Feature Importance for Seismic Vulnerability Ranking via Machine Learning and SHAP Values

    Ioannis Karampinis, L. Iliadis, Athanasios Karabinis

    2024Applied Sciences11 citations Open access

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

    Antonios Papaleonidas, A. Psathas, L. Iliadis

    2021Journal of Information and Telecommunication11 citations Open access

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29. STRUCTURAL DAMAGE PREDICTION UNDER SEISMIC SEQUENCE USING NEURAL NETWORKS

    Petros C. Lazaridis, Ioannis E. Kavvadias, K. Demertzis, L. Iliadis +3 more

    20218th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering Methods in Structural Dynamics and Earthquake Engineering11 citations Open access

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30. Seismic Response Prediction of Rigid Rocking Structures Using Explainable LightGBM Models

    Ioannis Karampinis, Kosmas E. Bantilas, Ioannis E. Kavvadias, L. Iliadis +1 more

    2024Mathematics10 citations Open access

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31. Machine Learning Algorithms for the Prediction of the Seismic Response of Rigid Rocking Blocks

    Ioannis Karampinis, Kosmas E. Bantilas, Ioannis E. Kavvadias, L. Iliadis +1 more

    2023Applied Sciences9 citations Open access

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32. Federated Auto-Meta-Ensemble Learning Framework for AI-Enabled Military Operations

    Kostas Demertzis, Panayotis Kikiras, C. Skianis, K. Rantos +2 more

    2023Electronics9 citations Open access

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33. A Lipschitz - Shapley Explainable Defense Methodology Against Adversarial Attacks

    K. Demertzis, L. Iliadis, Panayotis Kikiras

    2021Artificial Intelligence Applications and Innovations9 citations Open access

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34. Federated Blockchained Supply Chain Management: A CyberSecurity and Privacy Framework

    Konstantinos Demertzis, L. Iliadis, E. Pimenidis, Nikos Tziritas +3 more

    2021Artificial Intelligence Applications and Innovations9 citations Open access

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35. Large-Scale Geospatial Data Analysis: Geographic Object-Based Scene Classification in Remote Sensing Images by GIS and Deep Residual Learning

    Konstantinos Demertzis, L. Iliadis, E. Pimenidis

    2020International Conference on Engineering Applications of Neural Networks9 citations

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36. A Cross-Modal Dynamic Attention Neural Architecture to Detect Anomalies in Data Streams from Smart Communication Environments

    Kostas Demertzis, K. Rantos, L. Magafas, L. Iliadis

    2023Applied Sciences8 citations Open access

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37. A Comprehensive Survey on Nanophotonic Neural Networks: Architectures, Training Methods, Optimization, and Activations Functions

    K. Demertzis, Georgios D. Papadopoulos, L. Iliadis, L. Magafas

    2022Italian National Conference on Sensors8 citations Open access

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38. Blockchained Adaptive Federated Auto MetaLearning BigData and DevOps CyberSecurity Architecture in Industry 4.0

    Konstantinos Demertzis, L. Iliadis, E. Pimenidis, Nikos Tziritas +2 more

    2021International Conference on Engineering Applications of Neural Networks8 citations Open access

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39. Accomplished Reliability Level for Seismic Structural Damage Prediction Using Artificial Neural Networks

    Magdalini Tyrtaiou, Andonis Papaleonidas, A. Elenas, L. Iliadis

    2020International Conference on Engineering Applications of Neural Networks8 citations

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40. COREM2 project: a beginning to end approach for cyber intrusion detection

    A. Psathas, L. Iliadis, Antonios Papaleonidas, Dimitris Bountas

    2022Neural computing & applications (Print)7 citations

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41. Brain-inspired computing and machine learning

    L. Iliadis, V. Kůrková, B. Hammer

    2020Neural computing & applications (Print)7 citations Open access

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42. Machine Learning Modeling of Human Activity Using PPG Signals

    A. Psathas, Andonis Papaleonidas, L. Iliadis

    2020International Conference on Computational Collective Intelligence7 citations

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43. Investigation of Structural Seismic Vulnerability Using Machine Learning on Rapid Visual Screening

    Ioannis Karampinis, L. Iliadis, Athanasios Karabinis

    2024Applied Sciences6 citations Open access

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44. A stacked ensemble deep learning model for predicting the intensive care unit patient mortality

    Dimitrios Simopoulos, Dimitrios Kosmidis, George Anastassopoulos, L. Iliadis

    2024Artificial Intelligence in Health6 citations Open access

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45. A Blockchained Secure and Integrity-Preserved Architecture for Military Logistics Operations

    K. Demertzis, Panayotis Kikiras, L. Iliadis

    2022International Conference on Engineering Applications of Neural Networks6 citations

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46. A Comparative Evaluation of Machine Learning Algorithms for the Prediction of R/C Buildings' Seismic Damage

    K. Demertzis, K. Kostinakis, K. Morfidis, L. Iliadis

    2022arXiv.org6 citations Open access

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47. Engineering Applications of Neural Networks: 20th International Conference, EANN 2019, Xersonisos, Crete, Greece, May 24-26, 2019, Proceedings

    John Macintyre, L. Iliadis, Ilias Maglogiannis, C. Jayne

    2019Communications in Computer and Information Science6 citations Open access

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48. Emerging applications of Deep Learning and Spiking ANN

    L. Iliadis, C. Jayne

    2020Neural computing & applications (Print)5 citations Open access

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49. An explanation-based approach for experiment reproducibility in recommender systems

    N. Polatidis, Antonios Papaleonidas, E. Pimenidis, L. Iliadis

    2019Neural computing & applications (Print)5 citations Open access

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50. Employing query disambiguation using clustering techniques

    Andreas Kanavos, Panagiota Kotoula, C. Makris, L. Iliadis

    2019Evolutionary Systematics5 citations

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