An Artificial Neural Network to Estimate Maximum Potential Load of Sediments. - Fotis P. Maris; Lazaros S. Iliadis; Apostolos Vasileiou (ITEE, 2005)

A decision support system applying an integrated fuzzy model for long-term forest fire risk estimation. - Lazaros S. Iliadis (Environ. Model. Softw., 2005)

Fundamental fuzzy relation concepts of a D.S.S. for the estimation of natural disasters' risk (The case of a trapezoidal membership function). - Lazaros S. Iliadis; Stefanos Spartalis (Math. Comput. Model., 2005)

E-learning in the work-places in the rural sector of northeastern Greece. - Elias Pimenidis; Lazaros S. Iliadis; Hossein Jahankhani (Oper. Res., 2005)

Time-series modeling of fishery landings using ARIMA models and Fuzzy Expected Intervals software. - Theodoros Koutroumanidis; Lazaros S. Iliadis; Georgios K. Sylaios (Environ. Model. Softw., 2006)

An intelligent Artificial Neural Network evaluation system using Fuzzy Set Hedges: Application in wood industry. - Lazaros S. Iliadis (ICTAI (2), 2007)

An Artificial Neural Network model for mountainous water-resources management: The case of Cyprus mountainous watersheds. - Lazaros S. Iliadis; Fotis P. Maris (Environ. Model. Softw., 2007)

An innovative risk evaluation system estimating its own fuzzy entropy. - Stefanos Spartalis; Lazaros S. Iliadis; Fotis P. Maris (Math. Comput. Model., 2007)

Special issue on Industrial Applications of Neural Networks. - Lazaros S. Iliadis (Inf. Sci., 2008)

Application of fuzzy T-norms towards a new Artificial Neural Networks' evaluation framework: A case from wood industry. - Lazaros S. Iliadis; Stefanos Spartalis; Stavros Tachos (Inf. Sci., 2008)

Revealing the Structure of Childhood Abdominal Pain Data and Supporting Diagnostic Decision Making. - Adam V. Adamopoulos; Mirto Ntasi; Seferina Mavroudi; Spiros Likothanassis; Lazaros S. Iliadis; George C. Anastassopoulos (EANN, 2009)

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

Intelligent Fuzzy Reasoning for Flood Risk Estimation in River Evros. - Lazaros S. Iliadis; Stefanos Spartalis (EANN, 2009)

Sensitivity Analysis of Forest Fire Risk Factors and Development of a Corresponding Fuzzy Inference System: The Case of Greece. - Theocharis Tsataltzinos; Lazaros S. Iliadis; Stefanos Spartalis (EANN, 2009)

Hydrological Neural Modeling Aided by Support Vector Machines. - Lazaros S. Iliadis; Stefanos Spartalis (AIAI (Workshops), 2009)

An Evolutionary Technique for Medical Diagnostic Risk Factors Selection. - Dimitrios H. Mantzaris; George C. Anastassopoulos; Lazaros S. Iliadis; Adam V. Adamopoulos (AIAI, 2009)

An intelligent Fuzzy Inference System for Risk Estimation Using Matlab Platform: the Case of Forest Fires in Greece. - Theocharis Tsataltzinos; Lazaros S. Iliadis; Stefanos Spartalis (AIAI, 2009)

Intelligent hybrid modelling towards the prognosis of abdominal pain. - George C. Anastassopoulos; Lazaros S. Iliadis (Int. J. Hybrid Intell. Syst., 2009)

Feature extraction for time-series data: An artificial neural network evolutionary training model for the management of mountainous watersheds. - Thomas J. Glezakos; Theodore A. Tsiligiridis; Lazaros S. Iliadis; Constantine P. Yialouris; Fotis P. Maris; Konstantinos P. Ferentinos (Neurocomputing, 2009)

A sparsely connected network to model the relay stations of the sheep milk ejection reflex. - Efstratios K. Kosmidis; Anastasia S. Tsingotjidou; Lazaros S. Iliadis; Christos Batzios; Georgios C. Papadopoulos (Neurocomputing, 2009)

EANN 2007: Timely developments in applied neural computing. - Dominic Palmer-Brown; Lazaros S. Iliadis (Neurocomputing, 2009)

A Probabilistic Neural Network for Assessment of the Vesicoureteral Reflux's Diagnostic Factors Validity. - Dimitrios H. Mantzaris; George C. Anastassopoulos; Lazaros S. Iliadis; Aggelos D. Tsalkidis; Adam V. Adamopoulos (ICANN (1), 2010)

Support Vector Machines-Kernel Algorithms for the Estimation of the Water Supply in Cyprus. - Fotis P. Maris; Lazaros S. Iliadis; Stavros Tachos; Athanasios G. Loukas; Iliana Spartali; Apostolos Vasileiou; Elias Pimenidis (ICANN (2), 2010)

Color Segmentation Using Self-Organizing Feature Maps (SOFMs) Defined Upon Color and Spatial Image Space. - Ioannis M. Stephanakis; George C. Anastassopoulos; Lazaros S. Iliadis (ICANN (1), 2010)

A Fuzzy Inference System Using Gaussian Distribution Curves for Forest Fire Risk Estimation. - Lazaros S. Iliadis; Stergios Skopianos; Stavros Tachos; Stefanos Spartalis (AIAI, 2010)

A Multi-layer Perceptron Neural Network to Predict Air Quality through Indicators of Life Quality and Welfare. - Kyriaki Kitikidou; Lazaros S. Iliadis (AIAI, 2010)

A Soft Computing Approach for Osteoporosis Risk Factor Estimation. - Dimitrios H. Mantzaris; George C. Anastassopoulos; Lazaros S. Iliadis; Konstantinos Kazakos; Harris Papadopoulos (AIAI, 2010)

Combination of Survival Analysis and Neural Networks to Relate Life Expectancy at Birth to Lifestyle, Environment, and Health Care Resources Indicators. - Lazaros S. Iliadis; Kyriaki Kitikidou (EANN, 2011)

Support Vector Machines versus Artificial Neural Networks for Wood Dielectric Loss Factor Estimation. - Lazaros S. Iliadis; Stavros Tachos; Stavros Avramidis; Shawn Mansfield (EANN, 2011)

Employing a Radial-Basis Function Artificial Neural Network to Classify Western and Transition European Economies Based on the Emissions of Air Pollutants and on Their Income. - Kyriaki Kitikidou; Lazaros S. Iliadis (AIAI, 2011)

An Artificial Intelligence-Based Environment Quality Analysis System. - Mihaela Oprea; Lazaros S. Iliadis (EANN, 2011)

Fuzzy Modeling of the Climate Change Effect to Drought and to Wild Fires in Cyprus. - Xanthos Papakonstantinou; Lazaros S. Iliadis; Elias Pimenidis; Fotis P. Maris (EANN, 2011)

A Neuro-Fuzzy Hybridization Approach to Model Weather Operations in a Virtual Warfare Analysis System. - D. Vijay Rao; Lazaros S. Iliadis; Stefanos Spartalis (EANN, 2011)

A Window-Based Self-Organizing Feature Map (SOFM) for Vector Filtering Segmentation of Color Medical Imagery. - Ioannis M. Stephanakis; George C. Anastassopoulos; Lazaros S. Iliadis (EANN, 2011)

A Generalized Fuzzy-Rough Set Application for Forest Fire Risk Estimation Feature Reduction. - Theocharis Tsataltzinos; Lazaros S. Iliadis; Stefanos Spartalis (AIAI, 2011)

Editorial for the special issue ICANN-2010. - Kostas I. Diamantaras; Lazaros S. Iliadis (Neural Networks, 2011)

Soft computing techniques toward modeling the water supplies of Cyprus. - Lazaros S. Iliadis; Fotis P. Maris; Stavros Tachos (Neural Networks, 2011)

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

An Ontology Based Approach to Designing Adaptive Lesson Plans in Military Training Simulators. - D. Vijay Rao; Ravi Shankar 001; Lazaros S. Iliadis; V. V. S. Sarma (EANN, 2012)

Fuzzy Graph Language Recognizability. - Antonios Kalampakas; Stefanos Spartalis; Lazaros S. Iliadis (AIAI (1), 2012)

Combination of M-Estimators and Neural Network Model to Analyze Inside/Outside Bark Tree Diameters. - Kyriaki Kitikidou; Elias Milios; Lazaros S. Iliadis; Minas Kaymakis (AIAI (1), 2012)

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

Editorial. - Harris Papadopoulos; Andreas S. Andreou; Lazaros S. Iliadis (Int. J. Artif. Intell. Tools, 2012)

Automata on Directed Graphs for the Recognition of Assembly Lines. - Antonios Kalampakas; Stefanos Spartalis; Lazaros S. Iliadis (EANN (1), 2013)

Modeling Spatiotemporal Wild Fire Data with Support Vector Machines and Artificial Neural Networks. - Georgios Karapilafis; Lazaros S. Iliadis; Stefanos Spartalis; S. Katsavounis; Elias Pimenidis (EANN (1), 2013)

A Hybrid Network Anomaly and Intrusion Detection Approach Based on Evolving Spiking Neural Network Classification. - Konstantinos Demertzis; Lazaros S. Iliadis (e-Democracy, 2013)

Fuzzy Classification of Cyprus Urban Centers Based on Particulate Matter Concentrations. - Nicky Gkaretsa; Lazaros S. Iliadis; Stefanos Spartalis; Antonios Kalampakas (AIAI, 2013)

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

Syntactic recognizability of graphs with fuzzy attributes. - Antonios Kalampakas; Stefanos Spartalis; Lazaros S. Iliadis (Fuzzy Sets Syst., 2013)

Special issue: Innovative Decision Systems, extended papers from the 12th EANN/7th IFIP AIAI 2011 Joint Conferences. - Ilias Maglogiannis; Lazaros S. Iliadis; Harris Papadopoulos (Intell. Decis. Technol., 2013)

Timely neural networks applications in engineering - selected papers from the 12th EANN International Conference. - Lazaros S. Iliadis; Dominic Palmer-Brown (Neurocomputing, 2013)

Hybrid e-regression and validation soft computing techniques: The case of wood dielectric loss factor. - Lazaros S. Iliadis; Stavros Tachos; Stavros Avramidis; Shawn Mansfield (Neurocomputing, 2013)

Comparing content and context based similarity for musical data. - Ioannis Karydis; Katia Lida Kermanidis; Spyros Sioutas; Lazaros S. Iliadis (Neurocomputing, 2013)

A Self-Organizing Feature Map (SOFM) model based on aggregate-ordering of local color vectors according to block similarity measures. - Ioannis M. Stephanakis; George C. Anastassopoulos; Lazaros S. Iliadis (Neurocomputing, 2013)

Evolving Computational Intelligence System for Malware Detection. - Konstantinos Demertzis; Lazaros S. Iliadis (CAiSE Workshops, 2014)

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)

Comparison of Self Organizing Maps Clustering with Supervised Classification for Air Pollution Data Sets. - Ilias Bougoudis; Lazaros S. Iliadis; Stephanos Spartalis (AIAI, 2014)

Bio-inspired Hybrid Intelligent Method for Detecting Android Malware. - Konstantinos Demertzis; Lazaros S. Iliadis (KICSS, 2014)

On-line consistent ranking on e-recruitment: seeking the truth behind a well-formed CV. - Evanthia Faliagka; Lazaros S. Iliadis; Ioannis Karydis; Maria Rigou; Spyros Sioutas; Athanasios K. Tsakalidis; Giannis Tzimas (Artif. Intell. Rev., 2014)

Special issue of the 8th AIAI 2012 (Artificial Intelligence Applications and Innovations) international conference. - Lazaros S. Iliadis (Artif. Intell. Rev., 2014)

Fuzzy graphs: algebraic structure and syntactic recognition. - Antonios Kalampakas; Stefanos Spartalis; Lazaros S. Iliadis; Elias Pimenidis (Artif. Intell. Rev., 2014)

Intelligent Bio-Inspired Detection of Food Borne Pathogen by DNA Barcodes: The Case of Invasive Fish Species Lagocephalus Sceleratus. - Konstantinos Demertzis; Lazaros S. Iliadis (EANN, 2015)

SAME: An Intelligent Anti-malware Extension for Android ART Virtual Machine. - Konstantinos Demertzis; Lazaros S. Iliadis (ICCCI (2), 2015)

Evolving Smart URL Filter in a Zone-Based Policy Firewall for Detecting Algorithmically Generated Malicious Domains. - Konstantinos Demertzis; Lazaros S. Iliadis (SLDS, 2015)

Special Issue on Advanced Paradigms of Neural Networks' Learning Algorithms and Architectures in Engineering (APNNAAE). - Yannis Manolopoulos; Lazaros S. Iliadis (Inf. Sci., 2015)

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

Fuzzy Cognitive Maps for Long-Term Prognosis of the Evolution of Atmospheric Pollution, Based on Climate Change Scenarios: The Case of Athens. - Vardis-Dimitris Anezakis; Konstantinos Demertzis; Lazaros S. Iliadis; Stefanos Spartalis (ICCCI (1), 2016)

A Hybrid Soft Computing Approach Producing Robust Forest Fire Risk Indices. - Vardis-Dimitris Anezakis; Konstantinos Demertzis; Lazaros S. Iliadis; Stefanos Spartalis (AIAI, 2016)

Adaptive Elitist Differential Evolution Extreme Learning Machines on Big Data: Intelligent Recognition of Invasive Species. - Konstantinos Demertzis; Lazaros S. Iliadis (INNS Conference on Big Data, 2016)

Evaluating information retrieval using document popularity: An implementation on MapReduce. - Xenophon Evangelopoulos; Victor Giannakouris-Salalidis; Lazaros S. Iliadis; Christos Makris 001; Yannis Plegas; Antonia Plerou; Spyros Sioutas (Eng. Appl. Artif. Intell., 2016)

Introduction to the Special Issue on Mining the Humanities: Technologies and Applications. - Spyros Sioutas; Lazaros S. Iliadis; Katia Lida Kermanidis; Phivos Mylonas (Eng. Appl. Artif. Intell., 2016)

Fast and low cost prediction of extreme air pollution values with hybrid unsupervised learning. - Ilias Bougoudis; Konstantinos Demertzis; Lazaros S. Iliadis (Integr. Comput. Aided Eng., 2016)

HISYCOL a hybrid computational intelligence system for combined machine learning: the case of air pollution modeling in Athens. - Ilias Bougoudis; Konstantinos Demertzis; Lazaros S. Iliadis (Neural Comput. Appl., 2016)

Special issue on the engineering applications of neural networks. - Chrisina Jayne; Lazaros S. Iliadis; Valeri M. Mladenov (Neural Comput. Appl., 2016)

A Spiking One-Class Anomaly Detection Framework for Cyber-Security on Industrial Control Systems. - Konstantinos Demertzis; Lazaros S. Iliadis; Stefanos Spartalis (EANN, 2017)

A deep spiking machine-hearing system for the case of invasive fish species. - Konstantinos Demertzis; Lazaros S. Iliadis; Vardis-Dimitris Anezakis (INISTA, 2017)

Hybrid Soft Computing Analytics of Cardiorespiratory Morbidity and Mortality Risk Due to Air Pollution. - Vardis-Dimitris Anezakis; Lazaros S. Iliadis; Konstantinos Demertzis; Georgios Mallinis (ISCRAM-med, 2017)

Timely advances in evolving neural-based systems special issue. - Lazaros S. Iliadis; Konstantinos G. Margaritis; Ilias Maglogiannis (Evol. Syst., 2017)

Hybrid Unsupervised Modeling of Air Pollution Impact to Cardiovascular and Respiratory Diseases. - Lazaros S. Iliadis; Vardis-Dimitris Anezakis; Konstantinos Demertzis; Georgios Mallinis (Int. J. Inf. Syst. Crisis Response Manag., 2017)

Detecting invasive species with a bio-inspired semi-supervised neurocomputing approach: the case of Lagocephalus sceleratus. - Konstantinos Demertzis; Lazaros S. Iliadis (Neural Comput. Appl., 2017)

Machine learning use in predicting interior spruce wood density utilizing progeny test information. - Konstantinos Demertzis; Lazaros S. Iliadis; Stavros Avramidis; Yousry A. El-Kassaby (Neural Comput. Appl., 2017)

Computational intelligence anti-malware framework for android OS. - Konstantinos Demertzis; Lazaros S. Iliadis (Vietnam. J. Comput. Sci., 2017)

Soft computing forecasting of cardiovascular and respiratory incidents based on climate change scenarios. - Vardis-Dimitris Anezakis; Georgios Mallinis; Lazaros S. Iliadis; Konstantinos Demertzis (EAIS, 2018)

A Dynamic Ensemble Learning Framework for Data Stream Analysis and Real-Time Threat Detection. - Konstantinos Demertzis; Lazaros S. Iliadis; Vardis-Dimitris Anezakis (ICANN (1), 2018)

Soft Computing Modeling of the Illegal Immigration Density in the Borders of Greece. - Serafeim Koutsomplias; Lazaros S. Iliadis (ICANN (1), 2018)

Temporal Modeling of Invasive Species' Migration in Greece from Neighboring Countries Using Fuzzy Cognitive Maps. - Konstantinos Demertzis; Vardis-Dimitris Anezakis; Lazaros S. Iliadis; Stefanos Spartalis (AIAI, 2018)

MOLESTRA: A Multi-Task Learning Approach for Real-Time Big Data Analytics. - Konstantinos Demertzis; Lazaros S. Iliadis; Vardis-Dimitris Anezakis (INISTA, 2018)

Classification Of Road Accidents Using Fuzzy Techniques. - Anastasios Katsoukis; Lazaros S. Iliadis; Avrilia Konguetsof; Basil K. Papadopoulos (INISTA, 2018)

The Next Generation Cognitive Security Operations Center: Network Flow Forensics Using Cybersecurity Intelligence. - Konstantinos Demertzis; Panayiotis Kikiras; Nikos Tziritas; Salvador Llopis Sánchez; Lazaros Iliadis 001 (Big Data Cogn. Comput., 2018)

Hybrid intelligent modeling of wild fires risk. - Vardis-Dimitris Anezakis; Konstantinos Demertzis; Lazaros S. Iliadis; Stefanos Spartalis (Evol. Syst., 2018)

Applications of neural modeling in the new era for data and IT. - Lazaros S. Iliadis; Ilias Maglogiannis (Neurocomputing, 2018)

Musical track popularity mining dataset: Extension & experimentation. - Ioannis Karydis; Aggelos Gkiokas; Vassilis Katsouros; Lazaros S. Iliadis (Neurocomputing, 2018)

Extreme deep learning in biosecurity: the case of machine hearing for marine species identification. - Konstantinos Demertzis; Lazaros S. Iliadis; Vardis-Dimitris Anezakis (J. Inf. Telecommun., 2018)

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)

Special issue: Engineering applications of neural networks. - Chrisina Jayne; Lazaros S. Iliadis (Neural Comput. Appl., 2018)

Hybrid Soft Computing for Atmospheric Pollution-Climate Change Data Mining. - Lazaros S. Iliadis; Vardis-Dimitris Anezakis; Konstantinos Demertzis; Stefanos Spartalis (Trans. Comput. Collect. Intell., 2018)

A Machine Hearing Framework for Real-Time Streaming Analytics Using Lambda Architecture. - Konstantinos Demertzis; Lazaros S. Iliadis; Vardis-Dimitris Anezakis (EANN, 2019)

Cyber-Typhon: An Online Multi-task Anomaly Detection Framework. - Konstantinos Demertzis; Lazaros S. Iliadis; Panayiotis Kikiras; Nikos Tziritas (AIAI, 2019)

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

The Next Generation Cognitive Security Operations Center: Adaptive Analytic Lambda Architecture for Efficient Defense against Adversarial Attacks. - Konstantinos Demertzis; Nikos Tziritas; Panayiotis Kikiras; Salvador Llopis Sánchez; Lazaros Iliadis 001 (Big Data Cogn. Comput., 2019)

Editorial. - Lazaros S. Iliadis; Ilias Maglogiannis (Evol. Syst., 2019)

Editorial. - Giacomo Boracchi; Lazaros S. Iliadis; Aristidis Likas (Neural Comput. Appl., 2019)

Large-Scale Geospatial Data Analysis: Geographic Object-Based Scene Classification in Remote Sensing Images by GIS and Deep Residual Learning. - Konstantinos Demertzis; Lazaros S. Iliadis; Elias Pimenidis (EANN, 2020)

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)

GeoAI: A Model-Agnostic Meta-Ensemble Zero-Shot Learning Method for Hyperspectral Image Analysis and Classification. - Konstantinos Demertzis; Lazaros S. Iliadis (Algorithms, 2020)

A genetic algorithm for spatiosocial tensor clustering. - Georgios Drakopoulos; Foteini Stathopoulou; Andreas Kanavos; Michael Paraskevas; Giannis Tzimas; Phivos Mylonas; Lazaros Iliadis 001 (Evol. Syst., 2020)

Evolving and intelligent systems applications special issue. - Lazaros Iliadis 001; Costin Badica (Evol. Syst., 2020)

Editorial of the evolving intelligent applications in engineering special issue. - Lazaros Iliadis 001; Ilias Maglogiannis (Evol. Syst., 2020)

Employing query disambiguation using clustering techniques. - Andreas Kanavos; Panagiota Kotoula; Christos Makris 001; Lazaros Iliadis 001 (Evol. Syst., 2020)

Gryphon: a semi-supervised anomaly detection system based on one-class evolving spiking neural network. - Konstantinos Demertzis; Lazaros S. Iliadis; Ilias Bougoudis (Neural Comput. Appl., 2020)

Anomaly detection via blockchained deep learning smart contracts in industry 4.0. - Konstantinos Demertzis; Lazaros Iliadis 001; Nikos Tziritas; Panagiotis Kikiras (Neural Comput. Appl., 2020)

Emerging applications of Deep Learning and Spiking ANN. - Lazaros S. Iliadis; Chrisina Jayne (Neural Comput. Appl., 2020)

Brain-inspired computing and machine learning. - Lazaros S. Iliadis; Vera Kurková; Barbara Hammer (Neural Comput. Appl., 2020)

Emerging trends of applied neural computation. - Lazaros S. Iliadis; Ilias Maglogiannis (Neural Comput. Appl., 2020)

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

Blockchained Adaptive Federated Auto MetaLearning BigData and DevOps CyberSecurity Architecture in Industry 4.0. - Konstantinos Demertzis; Lazaros Iliadis 001; Elias Pimenidis; Nikolaos Tziritas; Maria G. Koziri; Panagiotis Kikiras (EANN, 2021)

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

AI Threat Detection and Response on Smart Networks. - Konstantinos Demertzis; Lazaros Iliadis 001 (ICCCI, 2021)

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

A Lipschitz - Shapley Explainable Defense Methodology Against Adversarial Attacks. - Konstantinos Demertzis; Lazaros Iliadis 001; Panagiotis Kikiras (AIAI (Workshops), 2021)

Federated Blockchained Supply Chain Management: A CyberSecurity and Privacy Framework. - Konstantinos Demertzis; Lazaros Iliadis 001; Elias Pimenidis; Nikolaos Tziritas; Maria G. Koziri; Panagiotis Kikiras; Michael Tonkin (AIAI, 2021)

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

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 Taketzis; Charalabos Skianis; Lazaros Iliadis 001 (CoRR, 2021)

A Comprehensive Survey on Nanophotonics Neural Networks. - Konstantinos Demertzis; Georgios C. Papadopoulos; Lazaros Iliadis 001; Lykourgos Magafas (CoRR, 2021)

Editorial on the Special Issue Innovations of Evolving-Adaptive Systems in the Era of the 4th Industrial Revolution. - Lazaros Iliadis 001 (Evol. Syst., 2021)

Editorial of the evolving and hybrid systems' modelling special issue. - Lazaros Iliadis 001; Ilias Maglogiannis (Evol. Syst., 2021)

On ensemble techniques of weight-constrained neural networks. - Ioannis E. Livieris; Lazaros Iliadis 001; Panayiotis E. Pintelas (Evol. Syst., 2021)

Geo-AI to aid disaster response by memory-augmented deep reservoir computing. - Konstantinos Demertzis; Lazaros Iliadis 001; Elias Pimenidis (Integr. Comput. Aided Eng., 2021)

Communication Network Standards for Smart Grid Infrastructures. - Konstantinos Demertzis; Konstantinos G. Tsiknas; Dimitrios Taketzis; Dimitrios N. Skoutas; Charalabos Skianis; Lazaros Iliadis 001; Kyriakos E. Zoiros (Network, 2021)

Transform-based graph topology similarity metrics. - Georgios Drakopoulos; Eleanna Kafeza; Phivos Mylonas; Lazaros Iliadis 001 (Neural Comput. Appl., 2021)

Deep learning models for forecasting aviation demand time series. - Andreas Kanavos; Fotios Kounelis; Lazaros Iliadis 001; Christos Makris 001 (Neural Comput. Appl., 2021)

Smoothing and stationarity enforcement framework for deep learning time-series forecasting. - Ioannis E. Livieris; Stavros Stavroyiannis; Lazaros Iliadis 001; Panagiotis E. Pintelas (Neural Comput. Appl., 2021)

A Blockchained Secure and Integrity-Preserved Architecture for Military Logistics Operations. - Konstantinos Demertzis; Panagiotis Kikiras; Lazaros Iliadis 001 (EANN, 2022)

Development of an Algorithmic Model to Reduce Memory and Learning Deficits on Trisomic Mice. - Eleni Gerasimidi; Lazaros Iliadis 001 (EANN, 2022)

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)

A Comparative Evaluation of Machine Learning Algorithms for the Prediction of R/C Buildings' Seismic Damage. - Konstantinos Demertzis; Konstantinos Kostinakis; Konstantinos Morfidis; Lazaros Iliadis 001 (CoRR, 2022)

Classification of Buildings' Potential for Seismic Damage by Means of Artificial Intelligence Techniques. - Konstantinos Kostinakis; Konstantinos Morfidis; Konstantinos Demertzis; Lazaros Iliadis 001 (CoRR, 2022)

An explainable semi-personalized federated learning model. - Konstantinos Demertzis; Lazaros Iliadis 001; Panagiotis Kikiras; Elias Pimenidis (Integr. Comput. Aided Eng., 2022)

Introduction. - Lazaros S. Iliadis (Int. J. Neural Syst., 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)

Variational restricted Boltzmann machines to automated anomaly detection. - Konstantinos Demertzis; Lazaros Iliadis 001; Elias Pimenidis; Panagiotis Kikiras (Neural Comput. Appl., 2022)

Special issue on deep learning modeling in real life: anomaly detection, biomedical, concept analysis, finance, image analysis, recommendation. - Lazaros Iliadis 001; Luca Magri (Neural Comput. Appl., 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)

A Comprehensive Survey on Nanophotonic Neural Networks: Architectures, Training Methods, Optimization, and Activations Functions. - Konstantinos Demertzis; Georgios D. Papadopoulos; Lazaros Iliadis 001; Lykourgos Magafas (Sensors, 2022)

An Autonomous Self-learning and Self-adversarial Training Neural Architecture for Intelligent and Resilient Cyber Security Systems. - Konstantinos Demertzis; Lazaros S. Iliadis (EANN, 2023)

A Machine Learning Approach for Seismic Vulnerability Ranking. - Ioannis Karampinis; Lazaros Iliadis 001 (EANN, 2023)

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)

VPNDroid: Malicious Android VPN Detection Using a CNN-RF Method. - Nikolaos Polatidis; Elias Pimenidis; Marcello Trovati; Lazaros Iliadis 001 (ICANN (10), 2023)

Next Generation Automated Reservoir Computing for Cyber Defense. - Konstantinos Demertzis; Lazaros S. Iliadis (AIAI (2), 2023)

A Secure and Privacy-Preserving Blockchain-Based XAI-Justice System. - Konstantinos Demertzis; Konstantinos Rantos; Lykourgos Magafas; Charalabos Skianis; Lazaros Iliadis 001 (Inf., 2023)

Technologies of the 4th industrial revolution with applications. - Lazaros Iliadis 001; Elias Pimenidis (Neural Comput. Appl., 2023)

Machine Learning Classification of Water Conductivity Raw Values of "Faneromeni" Reservoir in Crete. - Lazaros S. Iliadis; Nichat Kiourt; Christos Akratos; Antonis Papaleonidas (EANN, 2024)

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)

Machine Learning Modeling of the Impact of Masonry Infills' In-Plan Irregularities' on the R/C Buildings' Damage Response. - Ioannis Karampinis; Konstantinos Kostinakis; Konstantinos Morfidis; Lazaros S. Iliadis; Anastasios Panagiotis Psathas (AIAI (2), 2025)

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)

Maximum Interstory Drift Ratio (MIDR) Equations for R/C Buildings Using Machine Learning Procedures. - Ioannis Karampinis; Konstantinos Morfidis; Konstantinos Kostinakis; Lazaros S. Iliadis (EANN (1), 2025)

Machine Learning Analysis of Dissolved Oxygen at the "G. Giannouli" Hydrological Station Greece. - Nichat Kiourt; Lazaros S. Iliadis; Christos Akratos; Antonis Papaleonidas (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)