Lazaros S. Iliadis

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 55

Top Venues

Publications

Kiourt Nichat, Lazaros S. Iliadis, Christos Akratos, Antonios Papaleonidas
Artificial Intelligence Modeling of the Efficiency of a Biological Treatment Installation. AIAI (3) (2024)
Anastasios Panagiotis Psathas, Lazaros S. Iliadis, Antonios Papaleonidas, Elias Pimenidis
: An Innovative Hybrid Ensemble Deep Learning Prototype for Cyber Intrusion Detection. EANN (2024)
Lazaros S. Iliadis, Kiourt Nichat, Christos Akratos, Antonis Papaleonidas
Machine Learning Classification of Water Conductivity Raw Values of "Faneromeni" Reservoir in Crete. EANN (2024)
Konstantinos Demertzis, Lazaros S. Iliadis
Next Generation Automated Reservoir Computing for Cyber Defense. AIAI (2) (2023)
Anastasios Panagiotis Psathas, Lazaros S. Iliadis, Antonios Papaleonidas
Strain Prediction of a Bridge Deploying Autoregressive Models with ARIMA and Machine Learning Algorithms. EANN (2023)
Kiourt Nichat, Lazaros S. Iliadis, Antonios Papaleonidas
Conductivity Classification Using Machine Learning Algorithms in the "Bramianon" Dam. EANN (2023)
Lazaros S. Iliadis
Introduction. Int. J. Neural Syst. 33 (7) (2023)
Konstantinos Demertzis, Lazaros S. Iliadis
An Autonomous Self-learning and Self-adversarial Training Neural Architecture for Intelligent and Resilient Cyber Security Systems. EANN (2023)
Anastasios Panagiotis Psathas, Lazaros S. Iliadis, Antonios Papaleonidas, Dimitris Bountas
project: a beginning to end approach for cyber intrusion detection. Neural Comput. Appl. 34 (22) (2022)
Lazaros S. Iliadis
Introduction. Int. J. Neural Syst. 32 (12) (2022)
Konstantinos Demertzis, Lazaros S. Iliadis, Elias Pimenidis
Large-Scale Geospatial Data Analysis: Geographic Object-Based Scene Classification in Remote Sensing Images by GIS and Deep Residual Learning. EANN (2020)
Lazaros S. Iliadis, Ilias Maglogiannis
Emerging trends of applied neural computation. Neural Comput. Appl. 32 (9) (2020)
Lazaros S. Iliadis, Chrisina Jayne
Emerging applications of Deep Learning and Spiking ANN. Neural Comput. Appl. 32 (23) (2020)
Magdalini Tyrtaiou, Antonios Papaleonidas, Anaxagoras Elenas, Lazaros S. Iliadis
Accomplished Reliability Level for Seismic Structural Damage Prediction Using Artificial Neural Networks. EANN (2020)
Konstantinos Demertzis, Lazaros S. Iliadis, Ilias Bougoudis
Gryphon: a semi-supervised anomaly detection system based on one-class evolving spiking neural network. Neural Comput. Appl. 32 (9) (2020)
Konstantinos Demertzis, Lazaros S. Iliadis
GeoAI: A Model-Agnostic Meta-Ensemble Zero-Shot Learning Method for Hyperspectral Image Analysis and Classification. Algorithms 13 (3) (2020)
Anastasios Panagiotis Psathas, Antonios Papaleonidas, George Papathanassiou, Sotiris Valkaniotis, Lazaros S. Iliadis
Classification of Coseismic Landslides Using Fuzzy and Machine Learning Techniques. EANN (2020)
Lazaros S. Iliadis, Vera Kurková, Barbara Hammer
Brain-inspired computing and machine learning. Neural Comput. Appl. 32 (11) (2020)
Konstantinos Demertzis, Lazaros S. Iliadis, Panayiotis Kikiras, Nikos Tziritas
Cyber-Typhon: An Online Multi-task Anomaly Detection Framework. AIAI (2019)
Antonios Papaleonidas, Elias Pimenidis, Lazaros S. Iliadis
Hybrid Data Set Optimization in Recommender Systems Using Fuzzy T-Norms. AIAI (2019)
Lazaros S. Iliadis, Ilias Maglogiannis
Editorial. Evol. Syst. 10 (1) (2019)
Giacomo Boracchi, Lazaros S. Iliadis, Aristidis Likas
Editorial. Neural Comput. Appl. 31 (6) (2019)
Konstantinos Demertzis, Lazaros S. Iliadis, Vardis-Dimitris Anezakis
A Machine Hearing Framework for Real-Time Streaming Analytics Using Lambda Architecture. EANN (2019)
Ilias Bougoudis, Konstantinos Demertzis, Lazaros S. Iliadis, Vardis-Dimitris Anezakis, Antonios Papaleonidas
FuSSFFra, a fuzzy semi-supervised forecasting framework: the case of the air pollution in Athens. Neural Comput. Appl. 29 (7) (2018)
Konstantinos Demertzis, Vardis-Dimitris Anezakis, Lazaros S. Iliadis, Stefanos Spartalis
Temporal Modeling of Invasive Species' Migration in Greece from Neighboring Countries Using Fuzzy Cognitive Maps. AIAI (2018)
Ioannis Karydis, Aggelos Gkiokas, Vassilis Katsouros, Lazaros S. Iliadis
Musical track popularity mining dataset: Extension & experimentation. Neurocomputing 280 (2018)
Konstantinos Demertzis, Lazaros S. Iliadis, Vardis-Dimitris Anezakis
MOLESTRA: A Multi-Task Learning Approach for Real-Time Big Data Analytics. INISTA (2018)
Vardis-Dimitris Anezakis, Konstantinos Demertzis, Lazaros S. Iliadis, Stefanos Spartalis
Hybrid intelligent modeling of wild fires risk. Evol. Syst. 9 (4) (2018)
Chrisina Jayne, Lazaros S. Iliadis
Special issue: Engineering applications of neural networks. Neural Comput. Appl. 29 (7) (2018)
Serafeim Koutsomplias, Lazaros S. Iliadis
Soft Computing Modeling of the Illegal Immigration Density in the Borders of Greece. ICANN (1) (2018)
Vardis-Dimitris Anezakis, Georgios Mallinis, Lazaros S. Iliadis, Konstantinos Demertzis
Soft computing forecasting of cardiovascular and respiratory incidents based on climate change scenarios. EAIS (2018)
Anastasios Katsoukis, Lazaros S. Iliadis, Avrilia Konguetsof, Basil K. Papadopoulos
Classification Of Road Accidents Using Fuzzy Techniques. INISTA (2018)
Konstantinos Demertzis, Lazaros S. Iliadis, Vardis-Dimitris Anezakis
Extreme deep learning in biosecurity: the case of machine hearing for marine species identification. J. Inf. Telecommun. 2 (4) (2018)
Lazaros S. Iliadis, Vardis-Dimitris Anezakis, Konstantinos Demertzis, Stefanos Spartalis
Hybrid Soft Computing for Atmospheric Pollution-Climate Change Data Mining. Trans. Comput. Collect. Intell. 30 (2018)
Lazaros S. Iliadis, Ilias Maglogiannis
Editorial. Evol. Syst. 9 (4) (2018)
Konstantinos Demertzis, Lazaros S. Iliadis, Vardis-Dimitris Anezakis
A Dynamic Ensemble Learning Framework for Data Stream Analysis and Real-Time Threat Detection. ICANN (1) (2018)
Lazaros S. Iliadis, Ilias Maglogiannis
Applications of neural modeling in the new era for data and IT. Neurocomputing 280 (2018)
Konstantinos Demertzis, Lazaros S. Iliadis, Vardis-Dimitris Anezakis
A deep spiking machine-hearing system for the case of invasive fish species. INISTA (2017)
Lazaros S. Iliadis, Vardis-Dimitris Anezakis, Konstantinos Demertzis, Georgios Mallinis
Hybrid Unsupervised Modeling of Air Pollution Impact to Cardiovascular and Respiratory Diseases. Int. J. Inf. Syst. Crisis Response Manag. 9 (3) (2017)
Konstantinos Demertzis, Lazaros S. Iliadis, Stavros Avramidis, Yousry A. El-Kassaby
Machine learning use in predicting interior spruce wood density utilizing progeny test information. Neural Comput. Appl. 28 (3) (2017)
Vardis-Dimitris Anezakis, Lazaros S. Iliadis, Konstantinos Demertzis, Georgios Mallinis
Hybrid Soft Computing Analytics of Cardiorespiratory Morbidity and Mortality Risk Due to Air Pollution. ISCRAM-med (2017)
Lazaros S. Iliadis, Chrisina Jayne
Special issue: engineering applications of neural networks. Neural Comput. Appl. 28 (6) (2017)
Konstantinos Demertzis, Lazaros S. Iliadis
Detecting invasive species with a bio-inspired semi-supervised neurocomputing approach: the case of Lagocephalus sceleratus. Neural Comput. Appl. 28 (6) (2017)
Lazaros S. Iliadis, Konstantinos G. Margaritis, Ilias Maglogiannis
Timely advances in evolving neural-based systems special issue. Evol. Syst. 8 (1) (2017)
Konstantinos Demertzis, Lazaros S. Iliadis, Stefanos Spartalis
A Spiking One-Class Anomaly Detection Framework for Cyber-Security on Industrial Control Systems. EANN (2017)
Konstantinos Demertzis, Lazaros S. Iliadis
Computational intelligence anti-malware framework for android OS. Vietnam. J. Comput. Sci. 4 (4) (2017)
Chrisina Jayne, Lazaros S. Iliadis, Valeri M. Mladenov
Special issue on the engineering applications of neural networks. Neural Comput. Appl. 27 (5) (2016)
Xenophon Evangelopoulos, Victor Giannakouris-Salalidis, Lazaros S. Iliadis, Christos Makris, Yannis Plegas, Antonia Plerou, Spyros Sioutas
Evaluating information retrieval using document popularity: An implementation on MapReduce. Eng. Appl. Artif. Intell. 51 (2016)
Vardis-Dimitris Anezakis, Konstantinos Demertzis, Lazaros S. Iliadis, Stefanos Spartalis
A Hybrid Soft Computing Approach Producing Robust Forest Fire Risk Indices. AIAI (2016)
Vardis-Dimitris Anezakis, Konstantinos Demertzis, Lazaros S. Iliadis, Stefanos Spartalis
Fuzzy Cognitive Maps for Long-Term Prognosis of the Evolution of Atmospheric Pollution, Based on Climate Change Scenarios: The Case of Athens. ICCCI (1) (2016)
Spyros Sioutas, Lazaros S. Iliadis, Katia Lida Kermanidis, Phivos Mylonas
Introduction to the Special Issue on Mining the Humanities: Technologies and Applications. Eng. Appl. Artif. Intell. 51 (2016)
Konstantinos Demertzis, Lazaros S. Iliadis
Adaptive Elitist Differential Evolution Extreme Learning Machines on Big Data: Intelligent Recognition of Invasive Species. INNS Conference on Big Data (2016)
Ilias Bougoudis, Konstantinos Demertzis, Lazaros S. Iliadis
Fast and low cost prediction of extreme air pollution values with hybrid unsupervised learning. Integr. Comput. Aided Eng. 23 (2) (2016)
Ilias Bougoudis, Konstantinos Demertzis, Lazaros S. Iliadis
HISYCOL a hybrid computational intelligence system for combined machine learning: the case of air pollution modeling in Athens. Neural Comput. Appl. 27 (5) (2016)
Ilias Bougoudis, Konstantinos Demertzis, Lazaros S. Iliadis, Vardis-Dimitris Anezakis, Antonios Papaleonidas
Semi-supervised Hybrid Modeling of Atmospheric Pollution in Urban Centers. EANN (2016)
Konstantinos Demertzis, Lazaros S. Iliadis
SAME: An Intelligent Anti-malware Extension for Android ART Virtual Machine. ICCCI (2) (2015)
Konstantinos Demertzis, Lazaros S. Iliadis
Intelligent Bio-Inspired Detection of Food Borne Pathogen by DNA Barcodes: The Case of Invasive Fish Species Lagocephalus Sceleratus. EANN (2015)
Konstantinos Demertzis, Lazaros S. Iliadis
Evolving Smart URL Filter in a Zone-Based Policy Firewall for Detecting Algorithmically Generated Malicious Domains. SLDS (2015)
Yannis Manolopoulos, Lazaros S. Iliadis
Special Issue on Advanced Paradigms of Neural Networks' Learning Algorithms and Architectures in Engineering (APNNAAE). Inf. Sci. 294 (2015)
Konstantinos Demertzis, Lazaros S. Iliadis
Evolving Computational Intelligence System for Malware Detection. CAiSE Workshops (2014)
Ilias Bougoudis, Lazaros S. Iliadis, Stephanos Spartalis
Comparison of Self Organizing Maps Clustering with Supervised Classification for Air Pollution Data Sets. AIAI (2014)
Antonios Kalampakas, Stefanos Spartalis, Lazaros S. Iliadis, Elias Pimenidis
Fuzzy graphs: algebraic structure and syntactic recognition. Artif. Intell. Rev. 42 (3) (2014)
Lazaros S. Iliadis
Special issue of the 8th AIAI 2012 (Artificial Intelligence Applications and Innovations) international conference. Artif. Intell. Rev. 42 (3) (2014)
Ilias Bougoudis, Lazaros S. Iliadis, Antonios Papaleonidas
Fuzzy Inference ANN Ensembles for Air Pollutants Modeling in a Major Urban Area: The Case of Athens. EANN (2014)
Evanthia Faliagka, Lazaros S. Iliadis, Ioannis Karydis, Maria Rigou, Spyros Sioutas, Athanasios K. Tsakalidis, Giannis Tzimas
On-line consistent ranking on e-recruitment: seeking the truth behind a well-formed CV. Artif. Intell. Rev. 42 (3) (2014)
Konstantinos Demertzis, Lazaros S. Iliadis
Bio-inspired Hybrid Intelligent Method for Detecting Android Malware. KICSS (2014)
Antonios Kalampakas, Stefanos Spartalis, Lazaros S. Iliadis
Syntactic recognizability of graphs with fuzzy attributes. Fuzzy Sets Syst. 229 (2013)
Konstantinos Demertzis, Lazaros S. Iliadis
A Hybrid Network Anomaly and Intrusion Detection Approach Based on Evolving Spiking Neural Network Classification. e-Democracy (2013)
Antonios Papaleonidas, Lazaros S. Iliadis
Neurocomputing techniques to dynamically forecast spatiotemporal air pollution data. Evol. Syst. 4 (4) (2013)
Nicky Gkaretsa, Lazaros S. Iliadis, Stefanos Spartalis, Antonios Kalampakas
Fuzzy Classification of Cyprus Urban Centers Based on Particulate Matter Concentrations. AIAI (2013)
Ilias Maglogiannis, Lazaros S. Iliadis, Harris Papadopoulos
Special issue: Innovative Decision Systems, extended papers from the 12th EANN/7th IFIP AIAI 2011 Joint Conferences. Intell. Decis. Technol. 7 (1) (2013)
Lazaros S. Iliadis, Stavros Tachos, Stavros Avramidis, Shawn Mansfield
Hybrid e-regression and validation soft computing techniques: The case of wood dielectric loss factor. Neurocomputing 107 (2013)
Ioannis M. Stephanakis, George C. Anastassopoulos, Lazaros S. Iliadis
A Self-Organizing Feature Map (SOFM) model based on aggregate-ordering of local color vectors according to block similarity measures. Neurocomputing 107 (2013)
Lazaros S. Iliadis, Dominic Palmer-Brown
Timely neural networks applications in engineering - selected papers from the 12th EANN International Conference. Neurocomputing 107 (2013)
Georgios Karapilafis, Lazaros S. Iliadis, Stefanos Spartalis, S. Katsavounis, Elias Pimenidis
Modeling Spatiotemporal Wild Fire Data with Support Vector Machines and Artificial Neural Networks. EANN (1) (2013)
Antonios Kalampakas, Stefanos Spartalis, Lazaros S. Iliadis
Automata on Directed Graphs for the Recognition of Assembly Lines. EANN (1) (2013)
Ioannis Karydis, Katia Lida Kermanidis, Spyros Sioutas, Lazaros S. Iliadis
Comparing content and context based similarity for musical data. Neurocomputing 107 (2013)
D. Vijay Rao, Ravi Shankar, Lazaros S. Iliadis, V. V. S. Sarma
An Ontology Based Approach to Designing Adaptive Lesson Plans in Military Training Simulators. EANN (2012)
Antonios Kalampakas, Stefanos Spartalis, Lazaros S. Iliadis
Fuzzy Graph Language Recognizability. AIAI (1) (2012)
Andonis Papaleonidas, Lazaros S. Iliadis
Hybrid and Reinforcement Multi Agent Technology for Real Time Air Pollution Monitoring. AIAI (1) (2012)
Antonios Papaleonidas, Lazaros S. Iliadis
Employing ANN That Estimate Ozone in a Short-Term Scale When Monitoring Stations Malfunction. EANN (2012)
Harris Papadopoulos, Andreas S. Andreou, Lazaros S. Iliadis
Editorial. Int. J. Artif. Intell. Tools 21 (4) (2012)
Kyriaki Kitikidou, Elias Milios, Lazaros S. Iliadis, Minas Kaymakis
Combination of M-Estimators and Neural Network Model to Analyze Inside/Outside Bark Tree Diameters. AIAI (1) (2012)
D. Vijay Rao, Lazaros S. Iliadis, Stefanos Spartalis
A Neuro-Fuzzy Hybridization Approach to Model Weather Operations in a Virtual Warfare Analysis System. EANN/AIAI (1) (2011)
Lazaros S. Iliadis, Stavros Tachos, Stavros Avramidis, Shawn Mansfield
Support Vector Machines versus Artificial Neural Networks for Wood Dielectric Loss Factor Estimation. EANN/AIAI (1) (2011)
Lazaros S. Iliadis, Kyriaki Kitikidou
Combination of Survival Analysis and Neural Networks to Relate Life Expectancy at Birth to Lifestyle, Environment, and Health Care Resources Indicators. EANN/AIAI (1) (2011)
Ioannis M. Stephanakis, George C. Anastassopoulos, Lazaros S. Iliadis
A Window-Based Self-Organizing Feature Map (SOFM) for Vector Filtering Segmentation of Color Medical Imagery. EANN/AIAI (1) (2011)
Kyriaki Kitikidou, Lazaros S. Iliadis
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. EANN/AIAI (2) (2011)
Theocharis Tsataltzinos, Lazaros S. Iliadis, Stefanos Spartalis
A Generalized Fuzzy-Rough Set Application for Forest Fire Risk Estimation Feature Reduction. EANN/AIAI (2) (2011)
Kostas I. Diamantaras, Lazaros S. Iliadis
Editorial for the special issue ICANN-2010. Neural Networks 24 (8) (2011)
Mihaela Oprea, Lazaros S. Iliadis
An Artificial Intelligence-Based Environment Quality Analysis System. EANN/AIAI (1) (2011)
Lazaros S. Iliadis, Fotis P. Maris, Stavros Tachos
Soft computing techniques toward modeling the water supplies of Cyprus. Neural Networks 24 (8) (2011)
Xanthos Papakonstantinou, Lazaros S. Iliadis, Elias Pimenidis, Fotis P. Maris
Fuzzy Modeling of the Climate Change Effect to Drought and to Wild Fires in Cyprus. EANN/AIAI (1) (2011)
Fotis P. Maris, Lazaros S. Iliadis, Stavros Tachos, Athanasios G. Loukas, Iliana Spartali, Apostolos Vasileiou, Elias Pimenidis
Support Vector Machines-Kernel Algorithms for the Estimation of the Water Supply in Cyprus. ICANN (2) (2010)
Dimitrios H. Mantzaris, George C. Anastassopoulos, Lazaros S. Iliadis, Aggelos D. Tsalkidis, Adam V. Adamopoulos
A Probabilistic Neural Network for Assessment of the Vesicoureteral Reflux's Diagnostic Factors Validity. ICANN (1) (2010)
Lazaros S. Iliadis, Stergios Skopianos, Stavros Tachos, Stefanos Spartalis
A Fuzzy Inference System Using Gaussian Distribution Curves for Forest Fire Risk Estimation. AIAI (2010)
Dimitrios H. Mantzaris, George C. Anastassopoulos, Lazaros S. Iliadis, Konstantinos Kazakos, Harris Papadopoulos
A Soft Computing Approach for Osteoporosis Risk Factor Estimation. AIAI (2010)
Kyriaki Kitikidou, Lazaros S. Iliadis
A Multi-layer Perceptron Neural Network to Predict Air Quality through Indicators of Life Quality and Welfare. AIAI (2010)
Ioannis M. Stephanakis, George C. Anastassopoulos, Lazaros S. Iliadis
Color Segmentation Using Self-Organizing Feature Maps (SOFMs) Defined Upon Color and Spatial Image Space. ICANN (1) (2010)
Efstratios K. Kosmidis, Anastasia S. Tsingotjidou, Lazaros S. Iliadis, Christos Batzios, Georgios C. Papadopoulos
A sparsely connected network to model the relay stations of the sheep milk ejection reflex. Neurocomputing 73 (1-3) (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lazaros S. Iliadis