Vardis-Dimitris Anezakis

According to our database, Vardis-Dimitris Anezakis authored at least 16 papers between 2016 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2019

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

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

Proceedings of the Engineering Applications of Neural Networks, 2019

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

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

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

Hybrid intelligent modeling of wild fires risk.

Vardis-Dimitris Anezakis, Konstantinos Demertzis, Lazaros S. Iliadis, Stefanos Spartalis

Evol. Syst., 2018

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

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

Proceedings of the 2018 Innovations in Intelligent Systems and Applications, 2018

Verification of the effectiveness of fuzzy rule-based fault prediction: A replication study.

Vardis-Dimitris Anezakis, Muhammed Maruf Öztürk

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.

Konstantinos Demertzis, Vardis-Dimitris Anezakis, Lazaros S. Iliadis, Stefanos Spartalis

Proceedings of the Artificial Intelligence Applications and Innovations, 2018

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

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

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.

Vardis-Dimitris Anezakis, Georgios Mallinis, Lazaros S. Iliadis, Konstantinos Demertzis

Proceedings of the 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2018

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

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

Vardis-Dimitris Anezakis, Lazaros S. Iliadis, Konstantinos Demertzis, Georgios Mallinis

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.

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

Proceedings of the IEEE International Conference on INnovations in Intelligent SysTems and Applications, 2017

2016

A Hybrid Soft Computing Approach Producing Robust Forest Fire Risk Indices.

Vardis-Dimitris Anezakis, Konstantinos Demertzis, Lazaros S. Iliadis, Stefanos Spartalis

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.

Vardis-Dimitris Anezakis, Konstantinos Demertzis, Lazaros S. Iliadis, Stefanos Spartalis

Proceedings of the Computational Collective Intelligence - 8th International Conference, 2016

Semi-supervised Hybrid Modeling of Atmospheric Pollution in Urban Centers.

Ilias Bougoudis, Konstantinos Demertzis, Lazaros S. Iliadis, Vardis-Dimitris Anezakis, Antonios Papaleonidas

Proceedings of the Engineering Applications of Neural Networks, 2016