Lazaros S. Iliadis

Orcid: 0000-0002-6404-1528

Affiliations:
  • Democritus University of Thrace, School of Civil Engineering, Faculty of Mathematics, Programming and General Courses, Kimmeria, Xanthi, Greece


According to our database1, Lazaros S. Iliadis authored at least 162 papers between 2005 and 2024.

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Bibliography

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

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

Machine Learning Classification of Water Conductivity Raw Values of "Faneromeni" Reservoir in Crete.
Proceedings of the Engineering Applications of Neural Networks, 2024

2023
Technologies of the 4th industrial revolution with applications.
Neural Comput. Appl., October, 2023

A Secure and Privacy-Preserving Blockchain-Based XAI-Justice System.
Inf., 2023

Next Generation Automated Reservoir Computing for Cyber Defense.
Proceedings of the Artificial Intelligence Applications and Innovations, 2023

VPNDroid: Malicious Android VPN Detection Using a CNN-RF Method.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

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

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

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

A Machine Learning Approach for Seismic Vulnerability Ranking.
Proceedings of the Engineering Applications of Neural Networks, 2023

An Autonomous Self-learning and Self-adversarial Training Neural Architecture for Intelligent and Resilient Cyber Security Systems.
Proceedings of the Engineering Applications of Neural Networks, 2023

2022
A Comprehensive Survey on Nanophotonic Neural Networks: Architectures, Training Methods, Optimization, and Activations Functions.
Sensors, 2022

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

Special issue on deep learning modeling in real life: anomaly detection, biomedical, concept analysis, finance, image analysis, recommendation.
Neural Comput. Appl., 2022

Variational restricted Boltzmann machines to automated anomaly detection.
Neural Comput. Appl., 2022

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

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

Introduction.
Int. J. Neural Syst., 2022

An explainable semi-personalized federated learning model.
Integr. Comput. Aided Eng., 2022

Classification of Buildings' Potential for Seismic Damage by Means of Artificial Intelligence Techniques.
CoRR, 2022

A Comparative Evaluation of Machine Learning Algorithms for the Prediction of R/C Buildings' Seismic Damage.
CoRR, 2022

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

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

An IoT Authentication Framework for Urban Infrastructure Security Using Blockchain and Deep Learning.
Proceedings of the Engineering Applications of Neural Networks, 2022

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

Development of an Algorithmic Model to Reduce Memory and Learning Deficits on Trisomic Mice.
Proceedings of the Engineering Applications of Neural Networks, 2022

A Blockchained Secure and Integrity-Preserved Architecture for Military Logistics Operations.
Proceedings of the Engineering Applications of Neural Networks, 2022

2021
Smoothing and stationarity enforcement framework for deep learning time-series forecasting.
Neural Comput. Appl., 2021

Deep learning models for forecasting aviation demand time series.
Neural Comput. Appl., 2021

Transform-based graph topology similarity metrics.
Neural Comput. Appl., 2021

Communication Network Standards for Smart Grid Infrastructures.
Network, 2021

Geo-AI to aid disaster response by memory-augmented deep reservoir computing.
Integr. Comput. Aided Eng., 2021

On ensemble techniques of weight-constrained neural networks.
Evol. Syst., 2021

Editorial of the evolving and hybrid systems' modelling special issue.
Evol. Syst., 2021

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

A Comprehensive Survey on Nanophotonics Neural Networks.
CoRR, 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.
CoRR, 2021

A Machine Learning Approach for Recognition of Elders' Activities Using Passive Sensors.
Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2021 IFIP WG 12.5 International Workshops, 2021

Federated Blockchained Supply Chain Management: A CyberSecurity and Privacy Framework.
Proceedings of the Artificial Intelligence Applications and Innovations, 2021

A Lipschitz - Shapley Explainable Defense Methodology Against Adversarial Attacks.
Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2021 IFIP WG 12.5 International Workshops, 2021

Hybrid Computational Intelligence Modeling of Coseismic Landslides' Severity.
Proceedings of the Computational Collective Intelligence - 13th International Conference, 2021

AI Threat Detection and Response on Smart Networks.
Proceedings of the Computational Collective Intelligence - 13th International Conference, 2021

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

Blockchained Adaptive Federated Auto MetaLearning BigData and DevOps CyberSecurity Architecture in Industry 4.0.
Proceedings of the 22nd Engineering Applications of Neural Networks Conference, 2021

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

Emerging trends of applied neural computation.
Neural Comput. Appl., 2020

Brain-inspired computing and machine learning.
Neural Comput. Appl., 2020

Emerging applications of Deep Learning and Spiking ANN.
Neural Comput. Appl., 2020

Anomaly detection via blockchained deep learning smart contracts in industry 4.0.
Neural Comput. Appl., 2020

Gryphon: a semi-supervised anomaly detection system based on one-class evolving spiking neural network.
Neural Comput. Appl., 2020

Employing query disambiguation using clustering techniques.
Evol. Syst., 2020

Editorial of the evolving intelligent applications in engineering special issue.
Evol. Syst., 2020

Evolving and intelligent systems applications special issue.
Evol. Syst., 2020

A genetic algorithm for spatiosocial tensor clustering.
Evol. Syst., 2020

GeoAI: A Model-Agnostic Meta-Ensemble Zero-Shot Learning Method for Hyperspectral Image Analysis and Classification.
Algorithms, 2020

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

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

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

Large-Scale Geospatial Data Analysis: Geographic Object-Based Scene Classification in Remote Sensing Images by GIS and Deep Residual Learning.
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, 2020

2019
Editorial.
Neural Comput. Appl., 2019

Editorial.
Evol. Syst., 2019

The Next Generation Cognitive Security Operations Center: Adaptive Analytic Lambda Architecture for Efficient Defense against Adversarial Attacks.
Big Data Cogn. Comput., 2019

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

Cyber-Typhon: An Online Multi-task Anomaly Detection Framework.
Proceedings of the Artificial Intelligence Applications and Innovations, 2019

A Machine Hearing Framework for Real-Time Streaming Analytics Using Lambda Architecture.
Proceedings of the Engineering Applications of Neural Networks, 2019

2018
Hybrid Soft Computing for Atmospheric Pollution-Climate Change Data Mining.
Trans. Comput. Collect. Intell., 2018

Special issue: Engineering applications of neural networks.
Neural Comput. Appl., 2018

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

Extreme deep learning in biosecurity: the case of machine hearing for marine species identification.
J. Inf. Telecommun., 2018

Musical track popularity mining dataset: Extension & experimentation.
Neurocomputing, 2018

Applications of neural modeling in the new era for data and IT.
Neurocomputing, 2018

Hybrid intelligent modeling of wild fires risk.
Evol. Syst., 2018

The Next Generation Cognitive Security Operations Center: Network Flow Forensics Using Cybersecurity Intelligence.
Big Data Cogn. Comput., 2018

Classification Of Road Accidents Using Fuzzy Techniques.
Proceedings of the 2018 Innovations in Intelligent Systems and Applications, 2018

MOLESTRA: A Multi-Task Learning Approach for Real-Time Big Data Analytics.
Proceedings of the 2018 Innovations in Intelligent Systems and Applications, 2018

Temporal Modeling of Invasive Species' Migration in Greece from Neighboring Countries Using Fuzzy Cognitive Maps.
Proceedings of the Artificial Intelligence Applications and Innovations, 2018

Soft Computing Modeling of the Illegal Immigration Density in the Borders of Greece.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

A Dynamic Ensemble Learning Framework for Data Stream Analysis and Real-Time Threat Detection.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Soft computing forecasting of cardiovascular and respiratory incidents based on climate change scenarios.
Proceedings of the 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2018

2017
Computational intelligence anti-malware framework for android OS.
Vietnam. J. Comput. Sci., 2017

Machine learning use in predicting interior spruce wood density utilizing progeny test information.
Neural Comput. Appl., 2017

Detecting invasive species with a bio-inspired semi-supervised neurocomputing approach: the case of Lagocephalus sceleratus.
Neural Comput. Appl., 2017

Hybrid Unsupervised Modeling of Air Pollution Impact to Cardiovascular and Respiratory Diseases.
Int. J. Inf. Syst. Crisis Response Manag., 2017

Timely advances in evolving neural-based systems special issue.
Evol. Syst., 2017

Hybrid Soft Computing Analytics of Cardiorespiratory Morbidity and Mortality Risk Due to Air Pollution.
Proceedings of the Information Systems for Crisis Response and Management in Mediterranean Countries, 2017

A deep spiking machine-hearing system for the case of invasive fish species.
Proceedings of the IEEE International Conference on INnovations in Intelligent SysTems and Applications, 2017

A Spiking One-Class Anomaly Detection Framework for Cyber-Security on Industrial Control Systems.
Proceedings of the Engineering Applications of Neural Networks, 2017

2016
Special issue on the engineering applications of neural networks.
Neural Comput. Appl., 2016

HISYCOL a hybrid computational intelligence system for combined machine learning: the case of air pollution modeling in Athens.
Neural Comput. Appl., 2016

Fast and low cost prediction of extreme air pollution values with hybrid unsupervised learning.
Integr. Comput. Aided Eng., 2016

Introduction to the Special Issue on Mining the Humanities: Technologies and Applications.
Eng. Appl. Artif. Intell., 2016

Evaluating information retrieval using document popularity: An implementation on MapReduce.
Eng. Appl. Artif. Intell., 2016

Adaptive Elitist Differential Evolution Extreme Learning Machines on Big Data: Intelligent Recognition of Invasive Species.
Proceedings of the Advances in Big Data, 2016

A Hybrid Soft Computing Approach Producing Robust Forest Fire Risk Indices.
Proceedings of the Artificial Intelligence Applications and Innovations, 2016

Fuzzy Cognitive Maps for Long-Term Prognosis of the Evolution of Atmospheric Pollution, Based on Climate Change Scenarios: The Case of Athens.
Proceedings of the Computational Collective Intelligence - 8th International Conference, 2016

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

2015
Special Issue on Advanced Paradigms of Neural Networks' Learning Algorithms and Architectures in Engineering (APNNAAE).
Inf. Sci., 2015

Evolving Smart URL Filter in a Zone-Based Policy Firewall for Detecting Algorithmically Generated Malicious Domains.
Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015

SAME: An Intelligent Anti-malware Extension for Android ART Virtual Machine.
Proceedings of the Computational Collective Intelligence - 7th International Conference, 2015

Intelligent Bio-Inspired Detection of Food Borne Pathogen by DNA Barcodes: The Case of Invasive Fish Species Lagocephalus Sceleratus.
Proceedings of the Engineering Applications of Neural Networks, 2015

2014
Fuzzy graphs: algebraic structure and syntactic recognition.
Artif. Intell. Rev., 2014

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

On-line consistent ranking on e-recruitment: seeking the truth behind a well-formed CV.
Artif. Intell. Rev., 2014

Bio-inspired Hybrid Intelligent Method for Detecting Android Malware.
Proceedings of the Knowledge, Information and Creativity Support Systems - Selected Papers from KICSS'2014, 2014

Comparison of Self Organizing Maps Clustering with Supervised Classification for Air Pollution Data Sets.
Proceedings of the Artificial Intelligence Applications and Innovations, 2014

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

Evolving Computational Intelligence System for Malware Detection.
Proceedings of the Advanced Information Systems Engineering Workshops, 2014

2013
A Self-Organizing Feature Map (SOFM) model based on aggregate-ordering of local color vectors according to block similarity measures.
Neurocomputing, 2013

Comparing content and context based similarity for musical data.
Neurocomputing, 2013

Hybrid e-regression and validation soft computing techniques: The case of wood dielectric loss factor.
Neurocomputing, 2013

Timely neural networks applications in engineering - selected papers from the 12th EANN International Conference.
Neurocomputing, 2013

Special issue: Innovative Decision Systems, extended papers from the 12th EANN/7th IFIP AIAI 2011 Joint Conferences.
Intell. Decis. Technol., 2013

Syntactic recognizability of graphs with fuzzy attributes.
Fuzzy Sets Syst., 2013

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

Fuzzy Classification of Cyprus Urban Centers Based on Particulate Matter Concentrations.
Proceedings of the Artificial Intelligence Applications and Innovations, 2013

A Hybrid Network Anomaly and Intrusion Detection Approach Based on Evolving Spiking Neural Network Classification.
Proceedings of the E-Democracy, Security, Privacy and Trust in a Digital World, 2013

Modeling Spatiotemporal Wild Fire Data with Support Vector Machines and Artificial Neural Networks.
Proceedings of the Engineering Applications of Neural Networks, 2013

Automata on Directed Graphs for the Recognition of Assembly Lines.
Proceedings of the Engineering Applications of Neural Networks, 2013

2012
Editorial.
Int. J. Artif. Intell. Tools, 2012

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

Combination of M-Estimators and Neural Network Model to Analyze Inside/Outside Bark Tree Diameters.
Proceedings of the Artificial Intelligence Applications and Innovations, 2012

Fuzzy Graph Language Recognizability.
Proceedings of the Artificial Intelligence Applications and Innovations, 2012

An Ontology Based Approach to Designing Adaptive Lesson Plans in Military Training Simulators.
Proceedings of the Engineering Applications of Neural Networks, 2012

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

2011
Soft computing techniques toward modeling the water supplies of Cyprus.
Neural Networks, 2011

Editorial for the special issue ICANN-2010.
Neural Networks, 2011

A Generalized Fuzzy-Rough Set Application for Forest Fire Risk Estimation Feature Reduction.
Proceedings of the Artificial Intelligence Applications and Innovations, 2011

A Window-Based Self-Organizing Feature Map (SOFM) for Vector Filtering Segmentation of Color Medical Imagery.
Proceedings of the Engineering Applications of Neural Networks, 2011

A Neuro-Fuzzy Hybridization Approach to Model Weather Operations in a Virtual Warfare Analysis System.
Proceedings of the Engineering Applications of Neural Networks, 2011

Fuzzy Modeling of the Climate Change Effect to Drought and to Wild Fires in Cyprus.
Proceedings of the Engineering Applications of Neural Networks, 2011

An Artificial Intelligence-Based Environment Quality Analysis System.
Proceedings of the Engineering Applications of Neural Networks, 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.
Proceedings of the Artificial Intelligence Applications and Innovations, 2011

Support Vector Machines versus Artificial Neural Networks for Wood Dielectric Loss Factor Estimation.
Proceedings of the Engineering Applications of Neural Networks, 2011

Combination of Survival Analysis and Neural Networks to Relate Life Expectancy at Birth to Lifestyle, Environment, and Health Care Resources Indicators.
Proceedings of the Engineering Applications of Neural Networks, 2011

2010
A Soft Computing Approach for Osteoporosis Risk Factor Estimation.
Proceedings of the Artificial Intelligence Applications and Innovations, 2010

A Multi-layer Perceptron Neural Network to Predict Air Quality through Indicators of Life Quality and Welfare.
Proceedings of the Artificial Intelligence Applications and Innovations, 2010

A Fuzzy Inference System Using Gaussian Distribution Curves for Forest Fire Risk Estimation.
Proceedings of the Artificial Intelligence Applications and Innovations, 2010

Color Segmentation Using Self-Organizing Feature Maps (SOFMs) Defined Upon Color and Spatial Image Space.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Support Vector Machines-Kernel Algorithms for the Estimation of the Water Supply in Cyprus.
Proceedings of the Artificial Neural Networks, 2010

A Probabilistic Neural Network for Assessment of the Vesicoureteral Reflux's Diagnostic Factors Validity.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2009
EANN 2007: Timely developments in applied neural computing.
Neurocomputing, 2009

A sparsely connected network to model the relay stations of the sheep milk ejection reflex.
Neurocomputing, 2009

Feature extraction for time-series data: An artificial neural network evolutionary training model for the management of mountainous watersheds.
Neurocomputing, 2009

Intelligent hybrid modelling towards the prognosis of abdominal pain.
Int. J. Hybrid Intell. Syst., 2009

An intelligent Fuzzy Inference System for Risk Estimation Using Matlab Platform: the Case of Forest Fires in Greece.
Proceedings of the Artificial Intelligence Applications and Innovations III, 2009

An Evolutionary Technique for Medical Diagnostic Risk Factors Selection.
Proceedings of the Artificial Intelligence Applications and Innovations III, 2009

Hydrological Neural Modeling Aided by Support Vector Machines.
Proceedings of the Workshops of the 5th IFIP Conference on Artificial Intelligence Applications & Innovations (AIAI-2009), 2009

Sensitivity Analysis of Forest Fire Risk Factors and Development of a Corresponding Fuzzy Inference System: The Case of Greece.
Proceedings of the Engineering Applications of Neural Networks, 2009

Intelligent Fuzzy Reasoning for Flood Risk Estimation in River Evros.
Proceedings of the Engineering Applications of Neural Networks, 2009

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

Revealing the Structure of Childhood Abdominal Pain Data and Supporting Diagnostic Decision Making.
Proceedings of the Engineering Applications of Neural Networks, 2009

2008
Application of fuzzy T-norms towards a new Artificial Neural Networks' evaluation framework: A case from wood industry.
Inf. Sci., 2008

Special issue on Industrial Applications of Neural Networks.
Inf. Sci., 2008

2007
An innovative risk evaluation system estimating its own fuzzy entropy.
Math. Comput. Model., 2007

An Artificial Neural Network model for mountainous water-resources management: The case of Cyprus mountainous watersheds.
Environ. Model. Softw., 2007

An intelligent Artificial Neural Network evaluation system using Fuzzy Set Hedges: Application in wood industry.
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

2006
Time-series modeling of fishery landings using ARIMA models and Fuzzy Expected Intervals software.
Environ. Model. Softw., 2006

2005
E-learning in the work-places in the rural sector of northeastern Greece.
Oper. Res., 2005

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

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

An Artificial Neural Network to Estimate Maximum Potential Load of Sediments.
Proceedings of the ITEE 2005, 2005


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