Konstantinos Demertzis
Orcid: 0000-0003-1330-5228
According to our database1,
Konstantinos Demertzis
authored at least 68 papers
between 2013 and 2023.
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Bibliography
2023
A Hybrid Ontology Matching Mechanism for Adaptive Educational eLearning Environments.
Int. J. Inf. Technol. Decis. Mak., November, 2023
Int. J. Inf. Sec., October, 2023
Inf., 2023
CoRR, 2023
Algorithms, 2023
Proceedings of the Artificial Intelligence Applications and Innovations, 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
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
Digit., March, 2022
A Comprehensive Survey on Nanophotonic Neural Networks: Architectures, Training Methods, Optimization, and Activations Functions.
Sensors, 2022
Neural Comput. Appl., 2022
Integr. Comput. Aided Eng., 2022
An Overview of Cyber Threats, Attacks, and Countermeasures on the Primary Domains of Smart Cities.
CoRR, 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
A Blockchained Secure and Integrity-Preserved Architecture for Military Logistics Operations.
Proceedings of the Engineering Applications of Neural Networks, 2022
2021
Integr. Comput. Aided Eng., 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
Federated Blockchained Supply Chain Management: A CyberSecurity and Privacy Framework.
Proceedings of the Artificial Intelligence Applications and Innovations, 2021
Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2021 IFIP WG 12.5 International Workshops, 2021
Proceedings of the Computational Collective Intelligence - 13th International 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
Identifying data streams anomalies by evolving spiking restricted Boltzmann machines.
Neural Comput. Appl., 2020
Neural Comput. Appl., 2020
Gryphon: a semi-supervised anomaly detection system based on one-class evolving spiking neural network.
Neural Comput. Appl., 2020
A Hybrid Adaptive Educational eLearning Project based on Ontologies Matching and Recommendation System.
CoRR, 2020
A Dynamic Intelligent Policies Analysis Mechanism for Personal Data Processing in the IoT Ecosystem.
Big Data Cogn. Comput., 2020
GeoAI: A Model-Agnostic Meta-Ensemble Zero-Shot Learning Method for Hyperspectral Image Analysis and Classification.
Algorithms, 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
The Next Generation Cognitive Security Operations Center: Adaptive Analytic Lambda Architecture for Efficient Defense against Adversarial Attacks.
Big Data Cogn. Comput., 2019
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
Trans. Comput. Collect. Intell., 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
The Next Generation Cognitive Security Operations Center: Network Flow Forensics Using Cybersecurity Intelligence.
Big Data Cogn. Comput., 2018
ADvoCATE: A Consent Management Platform for Personal Data Processing in the IoT Using Blockchain Technology.
Proceedings of the Innovative Security Solutions for Information Technology and Communications, 2018
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
Blockchain-based Consents Management for Personal Data Processing in the IoT Ecosystem.
Proceedings of the 15th International Joint Conference on e-Business and Telecommunications, 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
Ανάπτυξη ευφυών προτύπων και αντίστοιχων πληροφοριακών συστημάτων, εμπνευσμένων από βιολογικά αντίστοιχα, με στόχο την αξιολόγηση περιβαλλοντικών προβλημάτων και κινδύνων
PhD thesis, 2017
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
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
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
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
Adaptive Elitist Differential Evolution Extreme Learning Machines on Big Data: Intelligent Recognition of Invasive Species.
Proceedings of the Advances in Big Data, 2016
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
Proceedings of the Engineering Applications of Neural Networks, 2016
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
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
Proceedings of the Knowledge, Information and Creativity Support Systems - Selected Papers from KICSS'2014, 2014
Proceedings of the Advanced Information Systems Engineering Workshops, 2014
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