Lazaros S. Iliadis

发表

A Computational Intelligence System Identifying Cyber-Attacks on Smart Energy Grids

Konstantinos Demertzis, Lazaros S. Iliadis, L. Iliadis, 2018 .

Hydrological Neural Modeling Aided by Support Vector Machines

Lazaros S. Iliadis, Stefanos Spartalis, L. Iliadis, 2009, AIAI Workshops.

Applications of neural modeling in the new era for data and IT

Lazaros S. Iliadis, Ilias Maglogiannis, Ilias Maglogiannis, 2017, Neurocomputing.

Engineering Applications of Neural Networks

Lazaros S. Iliadis, Chrisina Jayne, Shigang Yue, 2012, Communications in Computer and Information Science.

Comparative analysis of exhaust emissions caused by chainsaws with soft computing and statistical approaches

Konstantinos Demertzis, Lazaros S. Iliadis, V. Dimou, 2018, International Journal of Environmental Science and Technology.

Engineering Applications of Neural Networks: 14th International Conference, EANN 2013, Halkidiki, Greece, September 2013, Proceedings, Part I

Harris Papadopoulos, Lazaros S. Iliadis, Chrisina Jayne, 2013 .

Temporal Modeling of Invasive Species' Migration in Greece from Neighboring Countries Using Fuzzy Cognitive Maps

Konstantinos Demertzis, Lazaros S. Iliadis, Stefanos Spartalis, 2018, AIAI.

Comparison of Self Organizing Maps Clustering with Supervised Classification for Air Pollution Data Sets

Lazaros S. Iliadis, Ilias Bougoudis, Stephanos Spartalis, 2014, AIAI.

Artificial Intelligence Applications and Innovations: 10th IFIP WG 12.5 International Conference, AIAI 2014, Rhodes, Greece, September 19-21, 2014

Harris Papadopoulos, Lazaros S. Iliadis, Ilias Maglogiannis, 2014 .

An intelligent Fuzzy Inference System for Risk Estimation Using Matlab Platform: the Case of Forest Fires in Greece

Lazaros S. Iliadis, Stefanos Spartalis, Theocharis Tsataltzinos, 2009, AIAI.

Modelling Environmental Factors and Effects in Virtual Warfare Simulators Using a Multi Agent Paradigm

Lazaros S. Iliadis, Stefanos Spartalis, D. Vijay Rao, 2012 .

Proceedings of the 20th international conference on Artificial neural networks: Part III

Lazaros S. Iliadis, Konstantinos I. Diamantaras, Wlodek Duch, 2010 .

Timely advances in evolving neural-based systems special issue

Lazaros S. Iliadis, Konstantinos G. Margaritis, Ilias Maglogiannis, 2016, Evol. Syst..

Can e-Government Systems Bridge the Digital Divide?

Lazaros S. Iliadis, Elias Pimenidis, Christos K. Georgiadis, 2011 .

Proceedings of the 16th International Conference on Engineering Applications of Neural Networks (INNS)

Lazaros S. Iliadis, Chrisina Jane, 2015 .

A Neuro-Fuzzy Hybridization Approach to Model Weather Operations in a Virtual Warfare Analysis System

Lazaros S. Iliadis, Stefanos Spartalis, D. Vijay Rao, 2011, EANN/AIAI.

Artificial Intelligence Applications and Innovations: 18th IFIP WG 12.5 International Conference, AIAI 2022, Hersonissos, Crete, Greece, June 17–20, 2022, Proceedings, Part II

Konstantinos Demertzis, Lazaros S. Iliadis, Stefanos Spartalis, 2022, IFIP Advances in Information and Communication Technology.

Revealing the Structure of Childhood Abdominal Pain Data and Supporting Diagnostic Decision Making

Lazaros S. Iliadis, Spiridon D. Likothanassis, George C. Anastassopoulos, 2009, EANN.

Classification Of Road Accidents Using Fuzzy Techniques

Lazaros S. Iliadis, Basil K. Papadopoulos, Anastasios Katsoukis, 2018, 2018 Innovations in Intelligent Systems and Applications (INISTA).

An innovative risk evaluation system estimating its own fuzzy entropy

Lazaros S. Iliadis, Stefanos Spartalis, Fotis P. Maris, 2007, Math. Comput. Model..

Classifying with fuzzy chi-square test: The case of invasive species

Konstantinos Demertzis, Lazaros S. Iliadis, Vardis-Dimitris Anezakis, 2018 .

Special issue: Engineering applications of neural networks

Lazaros S. Iliadis, Chrisina Jayne, Chrisina Jayne, 2018, Neural Comput. Appl..

Bio-inspired Hybrid Intelligent Method for Detecting Android Malware

Konstantinos Demertzis, Lazaros S. Iliadis, L. Iliadis, 2016, KICSS.

Fuzzy Cognitive Maps for Long-Term Prognosis of the Evolution of Atmospheric Pollution, Based on Climate Change Scenarios: The Case of Athens

Konstantinos Demertzis, Lazaros S. Iliadis, Stefanos Spartalis, 2016, ICCCI.

Intelligent Bio-Inspired Detection of Food Borne Pathogen by DNA Barcodes: The Case of Invasive Fish Species Lagocephalus Sceleratus

Konstantinos Demertzis, Lazaros S. Iliadis, L. Iliadis, 2015, EANN.

Machine learning use in predicting interior spruce wood density utilizing progeny test information

Konstantinos Demertzis, Lazaros S. Iliadis, Stavros Avramidis, 2017, Neural Computing and Applications.

Evolving Smart URL Filter in a Zone-Based Policy Firewall for Detecting Algorithmically Generated Malicious Domains

Konstantinos Demertzis, Lazaros S. Iliadis, 2015, SLDS.

FuSSFFra, a fuzzy semi-supervised forecasting framework: the case of the air pollution in Athens

Konstantinos Demertzis, Lazaros S. Iliadis, Vardis-Dimitris Anezakis, 2018, Neural Computing and Applications.

Editorial

Harris Papadopoulos, Lazaros S. Iliadis, Andreas S. Andreou, 2012, Int. J. Artif. Intell. Tools.

Semi-supervised Hybrid Modeling of Atmospheric Pollution in Urban Centers

Konstantinos Demertzis, Lazaros S. Iliadis, Vardis-Dimitris Anezakis, 2016, EANN.

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

Lazaros S. Iliadis, Anaxagoras Elenas, Magdalini Tyrtaiou, 2020, EANN.

Engineering Applications of Neural Networks

Lazaros S. Iliadis, Valeri Mladenov, Chrisina Jayne, 2014, Communications in Computer and Information Science.

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, 2008, Inf. Sci..

Research and Advanced Technology for Digital Libraries : 21st International Conference on Theory and Practice of Digital Libraries, TPDL 2017, Thessaloniki, Greece, September 18-21, 2017 : proceedings

Yannis Manolopoulos, Jaap Kamps, Lazaros S. Iliadis, 2017 .

Neurocomputing techniques to dynamically forecast spatiotemporal air pollution data

Lazaros S. Iliadis, Andonis Papaleonidas, 2013, Evol. Syst..

Adaptive Elitist Differential Evolution Extreme Learning Machines on Big Data: Intelligent Recognition of Invasive Species

Konstantinos Demertzis, Lazaros S. Iliadis, L. Iliadis, 2016, INNS Conference on Big Data.

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

Konstantinos Demertzis, Lazaros S. Iliadis, Nikos Tziritas, 2019, AIAI.

Editorial: Intelligent Systems Applications for Quality of Life Information Services

Lazaros S. Iliadis, Mihaela Oprea, Kostas Karatzas, 2012 .

Engineering Applications of Neural Networks: 16th International Conference, EANN 2015, Rhodes, Greece, September 25-28 2015.Proceedings

Lazaros S. Iliadis, Chrisina Jayne, 2015 .

Soft computing forecasting of cardiovascular and respiratory incidents based on climate change scenarios

Konstantinos Demertzis, Lazaros S. Iliadis, Vardis-Dimitris Anezakis, 2018, 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Support Vector Machines versus Artificial Neural Networks for Wood Dielectric Loss Factor Estimation

Lazaros S. Iliadis, Stavros Avramidis, Shawn Mansfield, 2011, EANN/AIAI.

Artificial Intelligence Applications and Innovations: AIAI 2012 International Workshops AIAB, AIeIA, CISE, COPA, IIVC, ISQL, MHDW, and WADTMB, Halkidiki, Greece, September 2012, Proceedings, Part II

Harris Papadopoulos, Lazaros S. Iliadis, Spyros Sioutas, 2012 .

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, 2020, EANN.

Special Issue on Advanced Paradigms of Neural Networks' Learning Algorithms and Architectures in Engineering (APNNAAE)

Yannis Manolopoulos, Lazaros S. Iliadis, 2015, Inf. Sci..

MOLESTRA: A Multi-Task Learning Approach for Real-Time Big Data Analytics

Konstantinos Demertzis, Lazaros S. Iliadis, Vardis-Dimitris Anezakis, 2018, 2018 Innovations in Intelligent Systems and Applications (INISTA).

Artificial Intelligence Applications and Innovations - 6th IFIP WG 12.5 International Conference, AIAI 2010, Larnaca, Cyprus, October 6-7, 2010. Proceedings

Harris Papadopoulos, Lazaros S. Iliadis, Ilias Maglogiannis, 2010, Artificial Intelligence Applications and Innovations.

Time-series modeling of fishery landings using ARIMA models and Fuzzy Expected Intervals software

Lazaros S. Iliadis, Theodoros Koutroumanidis, Georgios K. Sylaios, 2006, Environ. Model. Softw..

Special issue of the 8th AIAI 2012 (Artificial Intelligence Applications and Innovations) international conference

Lazaros S. Iliadis, 2013, Artificial Intelligence Review.

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

Konstantinos Demertzis, Lazaros S. Iliadis, Vardis-Dimitris Anezakis, 2019, EANN.

Engineering Applications of Neural Networks - 12th INNS EANN-SIG International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, AIAI 2011, Corfu, Greece, September 15-18, 2011, Proceedings Part I

Lazaros S. Iliadis, Chrisina Jayne, 2011, EANN/AIAI.

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

Konstantinos Demertzis, Lazaros S. Iliadis, Nikos Tziritas, 2019, Big Data Cogn. Comput..

A Window-Based Self-Organizing Feature Map (SOFM) for Vector Filtering Segmentation of Color Medical Imagery

Lazaros S. Iliadis, Ioannis M. Stephanakis, George C. Anastassopoulos, 2011, EANN/AIAI.

Detecting invasive species with a bio-inspired semi-supervised neurocomputing approach: the case of Lagocephalus sceleratus

Konstantinos Demertzis, Lazaros S. Iliadis, L. Iliadis, 2017, Neural Computing and Applications.

A Probabilistic Neural Network for Assessment of the Vesicoureteral Reflux's Diagnostic Factors Validity

Lazaros S. Iliadis, George C. Anastassopoulos, Adam V. Adamopoulos, 2010, ICANN.

Special issue: engineering applications of neural networks

Lazaros S. Iliadis, Chrisina Jayne, Chrisina Jayne, 2017, Neural Computing and Applications.

Emerging applications of Deep Learning and Spiking ANN

Lazaros S. Iliadis, Chrisina Jayne, Chrisina Jayne, 2020, Neural Comput. Appl..

Engineering Applications of Neural Networks: 12th International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, AIAI 2011, Corfu, ... in Information and Communication Technology)

Lazaros S. Iliadis, Chrisina Jayne, 2011 .

Engineering Applications of Neural Networks

Harris Papadopoulos, Lazaros S. Iliadis, Chrisina Jayne, 2015, Communications in Computer and Information Science.

Hybrid intelligent modeling of wild fires risk

Konstantinos Demertzis, Lazaros S. Iliadis, Stefanos Spartalis, 2018, Evol. Syst..

Syntactic recognizability of graphs with fuzzy attributes

Lazaros S. Iliadis, Stefanos Spartalis, Antonios Kalampakas, 2013, Fuzzy Sets Syst..

Hybrid and Reinforcement Multi Agent Technology for Real Time Air Pollution Monitoring

Lazaros S. Iliadis, Andonis Papaleonidas, L. Iliadis, 2012, AIAI.

Brain-inspired computing and machine learning

Lazaros S. Iliadis, Barbara Hammer, Vera Kurkova, 2020, Neural Computing and Applications.

Hybrid e-regression and validation soft computing techniques: The case of wood dielectric loss factor

Lazaros S. Iliadis, Stavros Avramidis, Shawn Mansfield, 2013, Neurocomputing.

Artificial Intelligence Applications in Environmental Protection Workshop

Lazaros S. Iliadis, Nirvana Meratnia, Majid Bahrepour, 2009 .

A Machine Learning Approach for the Mean Flow Velocity Prediction in Alluvial Channels

Lazaros S. Iliadis, Epaminondas Sidiropoulos, Vlassios Hrissanthou, 2015, Water Resources Management.

Intelligent Agents Networks Employing Hybrid Reasoning: Application in Air Quality Monitoring and Improvement

Lazaros S. Iliadis, Andonis Papaleonidas, L. Iliadis, 2009, EANN.

Evolving Computational Intelligence System for Malware Detection

Konstantinos Demertzis, Lazaros S. Iliadis, L. Iliadis, 2014, CAiSE Workshops.

Modeling Spatiotemporal Wild Fire Data with Support Vector Machines and Artificial Neural Networks

Lazaros S. Iliadis, Stefanos Spartalis, Elias Pimenidis, 2013, EANN.

Hybrid Soft Computing Analytics of Cardiorespiratory Morbidity and Mortality Risk Due to Air Pollution

Konstantinos Demertzis, Lazaros S. Iliadis, Vardis-Dimitris Anezakis, 2017, ISCRAM-med.

Intelligent Fuzzy Reasoning for Flood Risk Estimation in River Evros

Lazaros S. Iliadis, Stefanos Spartalis, L. Iliadis, 2009, EANN.

Artificial Intelligence Applications and Innovations: 12th International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, AIAI ... in Information and Communication Technology)

Harris Papadopoulos, Lazaros S. Iliadis, Ilias Maglogiannis, 2011, AIAI 2011.

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, 2005, Math. Comput. Model..

Hybrid Unsupervised Modeling of Air Pollution Impact to Cardiovascular and Respiratory Diseases

Konstantinos Demertzis, Lazaros S. Iliadis, Vardis-Dimitris Anezakis, 2017, Int. J. Inf. Syst. Crisis Response Manag..

Computer analysis and clustering graduate students of the Department of Forestry and Natural Environment according to computer literacy.

Lazaros S. Iliadis, Zacharoula Andreopoulou, K. Radoglou, 2001 .

Advanced Information Systems Engineering Workshops: CAiSE 2014 International Workshops, Thessaloniki, Greece, June 16-20, 2014, Proceedings

Mike P. Papazoglou, Lazaros S. Iliadis, Klaus Pohl, 2014 .

Employing ANN That Estimate Ozone in a Short-Term Scale When Monitoring Stations Malfunction

Lazaros S. Iliadis, Andonis Papaleonidas, 2012, EANN.

Computational Collective Intelligence

Ngoc Thanh Nguyen, Yannis Manolopoulos, Lazaros S. Iliadis, 2015, Lecture Notes in Computer Science.

A genetic algorithm for spatiosocial tensor clustering

Giannis Tzimas, Lazaros S. Iliadis, Michael Paraskevas, 2019, Evol. Syst..

Musical track popularity mining dataset: Extension & experimentation

Lazaros S. Iliadis, Vassilis Katsouros, Ioannis Karydis, 2017, Neurocomputing.

The Next Generation Cognitive Security Operations Center: Network Flow Forensics Using Cybersecurity Intelligence

Konstantinos Demertzis, Lazaros S. Iliadis, Nikos Tziritas, 2018, Big Data Cogn. Comput..

Artificial Intelligence Applications and Innovations: AIAI 2012 International Workshops AIAB, AIeIA, CISE, COPA, IIVC, ISQL, MHDW, and WADTMB

Harris Papadopoulos, Lazaros S. Iliadis, Spyros Sioutas, 2014 .

Editorial

Lazaros S. Iliadis, Giacomo Boracchi, Aristidis Likas, 2019, Neural Computing and Applications.

Feature extraction for time-series data: An artificial neural network evolutionary training model for the management of mountainous watersheds

Lazaros S. Iliadis, Konstantinos P. Ferentinos, Theodore A. Tsiligiridis, 2009, Neurocomputing.

A decision support system applying an integrated fuzzy model for long-term forest fire risk estimation

Lazaros S. Iliadis, L. Iliadis, 2005, Environ. Model. Softw..

Advanced Information Systems Engineering Workshops

Mike P. Papazoglou, Lazaros S. Iliadis, Klaus Pohl, 2014, Lecture Notes in Business Information Processing.

An intelligent Artificial Neural Network evaluation system using Fuzzy Set Hedges: Application in wood industry

Lazaros S. Iliadis, 2007, 19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007).

An Artificial Neural Network model for mountainous water-resources management: The case of Cyprus mountainous watersheds

Lazaros S. Iliadis, Fotis P. Maris, L. Iliadis, 2007, Environ. Model. Softw..

Introduction to the Special Issue on Mining the Humanities: Technologies and Applications

Lazaros S. Iliadis, Spyros Sioutas, Phivos Mylonas, 2016, Eng. Appl. Artif. Intell..

An innovative soft computing system for smart energy grids cybersecurity

Konstantinos Demertzis, Lazaros S. Iliadis, Vardis-Dimitrios Anezakis, 2018 .

Artificial Intelligence Applications and Innovations: Proceedings of the 5th IFIP Conference on Artificial Intelligence Applications and Innovations

Lazaros S. Iliadis, Ioannis Vlahavas, Ilias Maglogiannis, 2009 .

Engineering Applications of Neural Networks: 15th International Conference, EANN 2014, Sofia, Bulgaria, September 5-7, 2014. Proceedings

Lazaros S. Iliadis, Valeri Mladenov, Chrisina Jayne, 2014 .

Special issue on Industrial Applications of Neural Networks

Lazaros S. Iliadis, L. Iliadis, 2008, Inf. Sci..

Sensitivity Analysis of Forest Fire Risk Factors and Development of a Corresponding Fuzzy Inference System: The Case of Greece

Lazaros S. Iliadis, Stefanos Spartalis, Theocharis Tsataltzinos, 2009, EANN.

An Artificial Intelligence-Based Environment Quality Analysis System

Lazaros S. Iliadis, Mihaela Oprea, L. Iliadis, 2011, EANN/AIAI.

Fuzzy Inference ANN Ensembles for Air Pollutants Modeling in a Major Urban Area: The Case of Athens

Lazaros S. Iliadis, Ilias Bougoudis, Andonis Papaleonidas, 2014, EANN.

Timely neural networks applications in engineering - selected papers from the 12th EANN International Conference

Dominic Palmer-Brown, Lazaros S. Iliadis, 2013, Neurocomputing.

Computational intelligence anti-malware framework for android OS

Konstantinos Demertzis, Lazaros S. Iliadis, L. Iliadis, 2017, Vietnam Journal of Computer Science.

A Bio-Inspired Hybrid Artificial Intelligence Framework for Cyber Security

Konstantinos Demertzis, Lazaros S. Iliadis, L. Iliadis, 2015 .

Special Issue on Artificial Intelligence Appl ications and Innovations 2009

Yannis Manolopoulos, Lazaros S. Iliadis, 2009 .

A Self-Organizing Feature Map (SOFM) model based on aggregate-ordering of local color vectors according to block similarity measures

Lazaros S. Iliadis, Ioannis M. Stephanakis, George C. Anastassopoulos, 2013, Neurocomputing.

An Ontology Based Approach to Designing Adaptive Lesson Plans in Military Training Simulators

Ravi Shankar, Lazaros S. Iliadis, D. Vijay Rao, 2012, EANN.

Color Segmentation Using Self-Organizing Feature Maps (SOFMs) Defined Upon Color and Spatial Image Space

Lazaros S. Iliadis, Ioannis M. Stephanakis, George C. Anastassopoulos, 2010, ICANN.

Intelligent hybrid modelling towards the prognosis of abdominal pain

Lazaros S. Iliadis, George C. Anastassopoulos, 2009, Int. J. Hybrid Intell. Syst..

A Generalized Fuzzy-Rough Set Application for Forest Fire Risk Estimation Feature Reduction

Lazaros S. Iliadis, Stefanos Spartalis, Theocharis Tsataltzinos, 2011, EANN/AIAI.

A hybrid multi-objective genetic algorithm for evaluation of essential sets of medical diagnostic factors

Lazaros S. Iliadis, George C. Anastassopoulos, Adam Adamopoulos, 2009 .

Artificial Intelligence Applications and Innovations: AIAI 2014 Workshops CoPA, MHDW, IIVC, and MT4BD, Rhodes, Greece, September 19-21, 2014

Harris Papadopoulos, Lazaros S. Iliadis, Christos Makris, 2014 .

Workshop Proceedings Preface

Oscar Pastor, Mike P. Papazoglou, Lazaros S. Iliadis, 2014 .

Editorial for the special issue ICANN-2010

Lazaros S. Iliadis, Konstantinos I. Diamantaras, K. Diamantaras, 2011, Neural Networks.

Extreme deep learning in biosecurity: the case of machine hearing for marine species identification

Konstantinos Demertzis, Lazaros S. Iliadis, Vardis-Dimitris Anezakis, 2018, J. Inf. Telecommun..

Employing query disambiguation using clustering techniques

Lazaros S. Iliadis, Christos Makris, Andreas Kanavos, 2019, Evol. Syst..

A Dynamic Ensemble Learning Framework for Data Stream Analysis and Real-Time Threat Detection

Konstantinos Demertzis, Lazaros S. Iliadis, Vardis-Dimitris Anezakis, 2018, ICANN.

A Hybrid Network Anomaly and Intrusion Detection Approach Based on Evolving Spiking Neural Network Classification

Konstantinos Demertzis, Lazaros S. Iliadis, L. Iliadis, 2013, e-Democracy.

Soft Computing Modeling of the Illegal Immigration Density in the Borders of Greece

Lazaros S. Iliadis, Serafeim Koutsomplias, 2018, ICANN.

Artificial Intelligence Applications and Innovations: 8th IFIP WG 12.5 International Conference, AIAI 2012, Halkidiki, Greece, September 27-30, 2012

Harris Papadopoulos, Lazaros S. Iliadis, Ilias Maglogiannis, 2012, 8th AIAI 2012.

A deep spiking machine-hearing system for the case of invasive fish species

Konstantinos Demertzis, Lazaros S. Iliadis, Vardis-Dimitris Anezakis, 2017, 2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA).

Fuzzy graphs: algebraic structure and syntactic recognition

Lazaros S. Iliadis, Stefanos Spartalis, Elias Pimenidis, 2014, Artificial Intelligence Review.

Selected papers from the 9th IFIP international conference on artificial intelligence applications and innovations (AIAI 2013)

Harris Papadopoulos, Lazaros S. Iliadis, Ilias Maglogiannis, 2014 .

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

Konstantinos Demertzis, Lazaros S. Iliadis, L. Iliadis, 2020, Algorithms.

Fast and low cost prediction of extreme air pollution values with hybrid unsupervised learning

Konstantinos Demertzis, Lazaros S. Iliadis, Ilias Bougoudis, 2016, Integr. Comput. Aided Eng..

HISYCOL a hybrid computational intelligence system for combined machine learning: the case of air pollution modeling in Athens

Konstantinos Demertzis, Lazaros S. Iliadis, Ilias Bougoudis, 2015, Neural Computing and Applications.

Hybrid Data Set Optimization in Recommender Systems Using Fuzzy T-Norms

Lazaros S. Iliadis, Elias Pimenidis, Andonis Papaleonidas, 2019, AIAI.

Artificial Intelligence Applications and Innovations III, Proceedings of the 5TH IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI'2009), April 23-25, 2009, Thessaloniki, Greece

Grigorios Tsoumakas, Lazaros S. Iliadis, Ioannis Vlahavas, 2009, AIAI.

Combination of M-Estimators and Neural Network Model to Analyze Inside/Outside Bark Tree Diameters

Lazaros S. Iliadis, Elias Milios, Kyriaki Kitikidou, 2012, AIAI.

Artificial Intelligence Applications and Innovations: 9th IFIP WG 12.5 International Conference, AIAI 2013, Paphos, Cyprus, September 30 -- October 2

Harris Papadopoulos, Lazaros S. Iliadis, Ilias Maglogiannis, 2013 .

Support Vector Machines-Kernel Algorithms for the Estimation of the Water Supply in Cyprus

Lazaros S. Iliadis, Elias Pimenidis, Iliana Spartali, 2010, ICANN.

A fuzzy inference rule-based system for the estimation of forest fire risk: the case of Greece

Lazaros S. Iliadis, Stefanos Spartalis, Theocharis Tsataltzinos, 2010 .

A Multi-layer Perceptron Neural Network to Predict Air Quality through Indicators of Life Quality and Welfare

Lazaros S. Iliadis, Kyriaki Kitikidou, K. Kitikidou, 2010, AIAI.

Artificial Neural Networks - ICANN 2010 - 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part I

Lazaros S. Iliadis, Konstantinos I. Diamantaras, Wlodek Duch, 2010, International Conference on Artificial Neural Networks.

Comparing content and context based similarity for musical data

Lazaros S. Iliadis, Spyros Sioutas, Katia Kermanidis, 2013, Neurocomputing.

Fuzzy Graph Language Recognizability

Lazaros S. Iliadis, Stefanos Spartalis, Antonios Kalampakas, 2012, AIAI.

EANN 2007: Timely developments in applied neural computing

Dominic Palmer-Brown, Lazaros S. Iliadis, 2009, Neurocomputing.

A sparsely connected network to model the relay stations of the sheep milk ejection reflex

Lazaros S. Iliadis, Christos Batzios, Efstratios K. Kosmidis, 2009, Neurocomputing.

A Fuzzy Inference System Using Gaussian Distribution Curves for Forest Fire Risk Estimation

Lazaros S. Iliadis, Stefanos Spartalis, Stavros Tachos, 2010, AIAI.

Editorial

Lazaros S. Iliadis, Ilias Maglogiannis, Ilias Maglogiannis, 2018, Evol. Syst..

Hybrid Soft Computing for Atmospheric Pollution-Climate Change Data Mining

Konstantinos Demertzis, Lazaros S. Iliadis, Stefanos Spartalis, 2018, Trans. Comput. Collect. Intell..

An intelligent system employing an enhanced fuzzy c-means clustering model: Application in the case of forest fires

Lazaros S. Iliadis, Stefanos Spartalis, M. Vangeloudh, 2010 .

Fuzzy Modeling of the Climate Change Effect to Drought and to Wild Fires in Cyprus

Lazaros S. Iliadis, Elias Pimenidis, Fotis P. Maris, 2011, EANN/AIAI.

Automata on Directed Graphs for the Recognition of Assembly Lines

Lazaros S. Iliadis, Stefanos Spartalis, Antonios Kalampakas, 2013, EANN.

Evaluating Fuzzy Multi-feature Scenarios for Forest Fire Risk Estimation

Lazaros S. Iliadis, Nikoleta Zigkrika, 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

Lazaros S. Iliadis, Kyriaki Kitikidou, 2011, EANN/AIAI.

A Soft Computing Approach for Osteoporosis Risk Factor Estimation

Harris Papadopoulos, Lazaros S. Iliadis, George C. Anastassopoulos, 2010, AIAI.

An Evolutionary Technique for Medical Diagnostic Risk Factors Selection

Lazaros S. Iliadis, George C. Anastassopoulos, Adam V. Adamopoulos, 2009, AIAI.

SAME: An Intelligent Anti-malware Extension for Android ART Virtual Machine

Konstantinos Demertzis, Lazaros S. Iliadis, 2015, ICCCI.

Special issue: Innovative Decision Systems, extended papers from the 12th EANN/7th IFIP AIAI 2011 Joint Conferences

Harris Papadopoulos, Lazaros S. Iliadis, Ilias Maglogiannis, 2013, Intell. Decis. Technol..

Evaluating information retrieval using document popularity: An implementation on MapReduce

Lazaros S. Iliadis, Christos Makris, Spyros Sioutas, 2016, Eng. Appl. Artif. Intell..

E-learning in the work-places in the rural sector of northeastern Greece

Lazaros S. Iliadis, Elias Pimenidis, Hossein Jahankhani, 2005, Oper. Res..

Classification of Coseismic Landslides Using Fuzzy and Machine Learning Techniques

Lazaros S. Iliadis, Andonis Papaleonidas, Sotiris Valkaniotis, 2020, EANN.

Artificial neural networks - ICANN 2010 : 20th International Conference, Thessaloniki, Greece, September 15-18, 2010 : proceedings

Lazaros S. Iliadis, Konstantinos I. Diamantaras, Wlodek Duch, 2010, ICANN 2010.

Engineering Applications of Neural Networks: 17th International Conference, EANN 2016, Aberdeen, UK, September 2-5, 2016, Proceedings

Lazaros S. Iliadis, Chrisina Jayne, 2016 .

Editorial

Lazaros S. Iliadis, Ilias Maglogiannis, Ilias Maglogiannis, 2019, Evol. Syst..

Fuzzy Classification of Cyprus Urban Centers Based on Particulate Matter Concentrations

Lazaros S. Iliadis, Stefanos Spartalis, Antonios Kalampakas, 2013, AIAI.

Special issue on the engineering applications of neural networks

Lazaros S. Iliadis, Valeri Mladenov, Chrisina Jayne, 2016, Neural Computing and Applications.

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, K. Kitikidou, 2011, EANN/AIAI.

KERNEL METHODS AND NEURAL NETWORKS FOR WATER RESOURCES MANAGEMENT

Lazaros S. Iliadis, Stefanos Spartalis, Stavros Tachos, 2010 .

Advances in Big Data - Proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece

Yannis Manolopoulos, Lazaros S. Iliadis, Plamen Angelov, 2017, INNS Conference on Big Data.

An Innovative Artificial Neural Network Evaluation Model : Application in industry

Lazaros S. Iliadis, Stefanos Spartalis, Stavros Tachos, 2007 .

A Spiking One-Class Anomaly Detection Framework for Cyber-Security on Industrial Control Systems

Konstantinos Demertzis, Lazaros S. Iliadis, Stefanos Spartalis, 2017, EANN.

On-line consistent ranking on e-recruitment: seeking the truth behind a well-formed CV

Giannis Tzimas, Lazaros S. Iliadis, Athanasios K. Tsakalidis, 2013, Artificial Intelligence Review.

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

Lazaros S. Iliadis, Andreas Kanavos, Panagiotis Pintelas, 2021, Mathematics.

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

Lazaros S. Iliadis, Panayotis Kikiras, Dimitrios Tsiotas, 2021, Processes.

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, Lazaros S. Iliadis, Charalabos Skianis, 2021 .

Neural network prediction of bending strength and stiffness in western hemlock (Tsuga heterophylla Raf.)

Lazaros S. Iliadis, Stavros Avramidis, Shawn D. Mansfield, 2007 .

Predicting Wood Thermal Conductivity Using Artificial Neural Networks

Lazaros S. Iliadis, Stavros Avramidis, S. Avramidis, 2007 .

The Impact of Climate Change on Biodiversity: The Ecological Consequences of Invasive Species in Greece

Konstantinos Demertzis, Lazaros S. Iliadis, L. Iliadis, 2018 .

Evaluation and Forecasting of the Financial Performance of the Unions of Rural Cooperatives by a Decision Support System

Lazaros S. Iliadis, Garyfallos Arabatzis, Theodoros Koutroumanidis, 2004 .

Wood-water sorption isotherm prediction with artificial neural networks: A preliminary study

Lazaros S. Iliadis, Stavros Avramidis, S. Avramidis, 2005 .

A computer-system that classifies the prefectures of Greece in forest fire risk zones using fuzzy sets

Lazaros S. Iliadis, Panagiotis Lefakis, L. Iliadis, 2002 .

Predicting the strength of Populus spp. clones using artificial neural networks and ε-regression support vector machines (ε-rSVM)

Lazaros S. Iliadis, Stavros Avramidis, Shawn D. Mansfield, 2011 .

Combining Survival Analysis and Neural Networks to predict Life Expectancy

Lazaros S. Iliadis, Kyriaki Kitikidou, Kassiani Skoularik, 2012 .