Elias Dritsas

According to our database, Elias Dritsas authored at least 49 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

Predicting the Occurrence of Metabolic Syndrome Using Machine Learning Models.

Maria Trigka, Elias Dritsas

Comput., September, 2023

Long-Term Coronary Artery Disease Risk Prediction with Machine Learning Models.

Maria Trigka, Elias Dritsas

Sensors, February, 2023

Efficient Data-Driven Machine Learning Models for Cardiovascular Diseases Risk Prediction.

Elias Dritsas, Maria Trigka

Sensors, February, 2023

Efficient Data-Driven Machine Learning Models for Water Quality Prediction.

Elias Dritsas, Maria Trigka

Comput., February, 2023

Supervised Machine Learning Models for Liver Disease Risk Prediction.

Elias Dritsas, Maria Trigka

Comput., January, 2023

Supervised Machine Learning Models to Identify Early-Stage Symptoms of SARS-CoV-2.

Elias Dritsas, Maria Trigka

Sensors, 2023

An EEG-Based Application for Real-Time Mental State Recognition in Adaptive E-Learning Environment.

Amalia Chrysanthakopoulou, Elias Dritsas, Maria Trigka, Phivos Mylonas

Proceedings of the 18th International Workshop on Semantic and Social Media Adaptation and Personalization, 2023

A Multi-Class Classification Approach for Anemia Level Prediction with Machine Learning Models.

Maria Trigka, Elias Dritsas, Phivos Mylonas

Proceedings of the 8th South-East Europe Design Automation, 2023

Mental Confusion Prediction in E-Learning Contexts with EEG and Machine Learning.

Maria Trigka, Elias Dritsas, Phivos Mylonas

Proceedings of the Novel & Intelligent Digital Systems: Proceedings of the 3rd International Conference (NiDS 2023), 2023

Influences of Cognitive Styles on EEG-Based Activity: An Empirical Study on Visual Content Comprehension.

Maria Trigka, Georgios Papadoulis, Elias Dritsas, Christos Fidas

Proceedings of the Human-Computer Interaction - INTERACT 2023 - 19th IFIP TC13 International Conference, York, UK, August 28, 2023

Ensemble Machine Learning Models for Breast Cancer Identification.

Elias Dritsas, Maria Trigka, Phivos Mylonas

Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2023 IFIP WG 12.5 International Workshops, 2023

Machine Learning Models for Prostate Cancer Identification.

Elias Dritsas, Maria Trigka, Phivos Mylonas

Proceedings of the 15th International Joint Conference on Knowledge Discovery, 2023

2022

An Efficient Distributed Approach for Cooperative Spectrum Sensing in Varying Interests Cognitive Radio Networks.

Maria Trigka, Elias Dritsas

Sensors, 2022

Machine Learning Methods for Hypercholesterolemia Long-Term Risk Prediction.

Elias Dritsas, Maria Trigka

Sensors, 2022

Data-Driven Machine-Learning Methods for Diabetes Risk Prediction.

Elias Dritsas, Maria Trigka

Sensors, 2022

Stroke Risk Prediction with Machine Learning Techniques.

Elias Dritsas, Maria Trigka

Sensors, 2022

A Methodology for Extracting Power-Efficient and Contrast Enhanced RGB Images.

Elias Dritsas, Maria Trigka

Sensors, 2022

Non-Linear Observer Design with Laguerre Polynomials.

Maria Trigka, Elias Dritsas

Entropy, 2022

The Predictive Power of a Twitter User's Profile on Cryptocurrency Popularity.

Maria Trigka, Andreas Kanavos, Elias Dritsas, Gerasimos Vonitsanos, Phivos Mylonas

Big Data Cogn. Comput., 2022

Lung Cancer Risk Prediction with Machine Learning Models.

Elias Dritsas, Maria Trigka

Big Data Cogn. Comput., 2022

Machine Learning Techniques for Chronic Kidney Disease Risk Prediction.

Elias Dritsas, Maria Trigka

Big Data Cogn. Comput., 2022

An Apache Spark Implementation for Text Document Clustering.

Elias Dritsas, Maria Trigka, Gerasimos Vonitsanos, Andreas Kanavos, Phivos Mylonas

Proceedings of the 17th International Workshop on Semantic and Social Media Adaptation & Personalization, 2022

A Multi-class Classification Approach for Weather Forecasting with Machine Learning Techniques.

Elias Dritsas, Maria Trigka, Phivos Mylonas

Proceedings of the 17th International Workshop on Semantic and Social Media Adaptation & Personalization, 2022

COPD Severity Prediction in Elderly with ML Techniques.

Elias Dritsas, Sotirios Alexiou, Konstantinos Moustakas

Proceedings of the PETRA '22: The 15th International Conference on PErvasive Technologies Related to Assistive Environments, Corfu, Greece, 29 June 2022, 2022

A Survey on Signal Processing Methods for EEG-based Brain Computer Interface Systems.

Maria Trigka, Elias Dritsas, Christos Fidas

Proceedings of the 26th Pan-Hellenic Conference on Informatics, 2022

Metabolic Syndrome Risk Forecasting on Elderly with ML Techniques.

Elias Dritsas, Sotiris Alexiou, Konstantinos Moustakas

Proceedings of the Learning and Intelligent Optimization - 16th International Conference, 2022

Joint Power and Contrast Shrinking in RGB Images with Exponential Smoothing.

Maria Trigka, Elias Dritsas, Konstantinos Moustakas

Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

Efficient Data-driven Machine Learning Models for Hypertension Risk Prediction.

Elias Dritsas, Sotiris Alexiou, Konstantinos Moustakas

Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2022

Sleep Quality Evaluation in Rich Information Data.

Ioannis Konstantoulas, Elias Dritsas, Konstantinos Moustakas

Proceedings of the 13th International Conference on Information, 2022

Cardiovascular Disease Risk Prediction with Supervised Machine Learning Techniques.

Elias Dritsas, Sotiris Alexiou, Konstantinos Moustakas

Proceedings of the 8th International Conference on Information and Communication Technologies for Ageing Well and e-Health, 2022

Short-term Glucose Prediction based on Oral Glucose Tolerance Test Values.

Elias Dritsas, Sotiris Alexiou, Ioannis Konstantoulas, Konstantinos Moustakas

Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

2021

Machine Learning Tools for Long-Term Type 2 Diabetes Risk Prediction.

Nikos Fazakis, Otilia Kocsis, Elias Dritsas, Sotiris Alexiou, Nikos Fakotakis, Konstantinos Moustakas

IEEE Access, 2021

An approach for Personalized Continuous Glucose Prediction with Regression Trees.

Sotiris Alexiou, Elias Dritsas, Otilia Kocsis, Konstantinos Moustakas, Nikos Fakotakis

Proceedings of the 6th South-East Europe Design Automation, 2021

Long-Term Hypertension Risk Prediction with ML Techniques in ELSA Database.

Elias Dritsas, Nikos Fazakis, Otilia Kocsis, Nikos Fakotakis, Konstantinos Moustakas

Proceedings of the Learning and Intelligent Optimization - 15th International Conference, 2021

Sleep Quality Monitoring with Human Assisted Corrections.

Ioannis Konstantoulas, Otilia Kocsis, Elias Dritsas, Nikos Fakotakis, Konstantinos Moustakas

Proceedings of the 13th International Joint Conference on Computational Intelligence, 2021

Long-term Cholesterol Risk Prediction using Machine Learning Techniques in ELSA Database.

Nikos Fazakis, Elias Dritsas, Otilia Kocsis, Nikos Fakotakis, Konstantinos Moustakas

Proceedings of the 13th International Joint Conference on Computational Intelligence, 2021

Aspect-Based Community Detection of Cultural Heritage Streaming Data.

Elias Dritsas, Maria Trigka, Gerasimos Vonitsanos, Andreas Kanavos, Phivos Mylonas

Proceedings of the 12th International Conference on Information, 2021

Optimal Team Pairing of Elder Office Employees with Machine Learning on Synthetic Data.

Elias Dritsas, Nikos Fazakis, Otilia Kocsis, Konstantinos Moustakas, Nikos Fakotakis

Proceedings of the 12th International Conference on Information, 2021

Community Detection Algorithms for Cultural and Natural Heritage Data in Social Networks.

Andreas Kanavos, Maria Trigka, Elias Dritsas, Gerasimos Vonitsanos, Phivos Mylonas

Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2021 IFIP WG 12.5 International Workshops, 2021

2020

Efficient algorithms for big data management (Αποδοτικοί αλγόριθμοι διαχείρισης μεγάλου όγκου δεδομένων).

Elias Dritsas

PhD thesis, 2020

Trajectory Clustering and k-NN for Robust Privacy Preserving k-NN Query Processing in GeoSpark.

Elias Dritsas, Andreas Kanavos, Maria Trigka, Gerasimos Vonitsanos, Spyros Sioutas, Athanasios K. Tsakalidis

Algorithms, 2020

Security and Privacy Solutions associated with NoSQL Data Stores.

Gerasimos Vonitsanos, Elias Dritsas, Andreas Kanavos, Phivos Mylonas, Spyros Sioutas

Proceedings of the 15th International Workshop on Semantic and Social Media Adaptation and Personalization, 2020

2019

Storage Efficient Trajectory Clustering and k-NN for Robust Privacy Preserving Spatio-Temporal Databases.

Elias Dritsas, Andreas Kanavos, Maria Trigka, Spyros Sioutas, Athanasios K. Tsakalidis

Algorithms, 2019

An Apache Spark Methodology for Forecasting Tourism Demand in Greece.

Nikolaos Ntaliakouras, Gerasimos Vonitsanos, Andreas Kanavos, Elias Dritsas

Proceedings of the 10th International Conference on Information, 2019

Pre-processing Framework for Twitter Sentiment Classification.

Elias Dritsas, Gerasimos Vonitsanos, Ioannis E. Livieris, Andreas Kanavos, Aristidis Ilias, Christos Makris, Athanasios K. Tsakalidis

Proceedings of the Artificial Intelligence Applications and Innovations, 2019

2018

Trajectory Clustering and k-NN for Robust Privacy Preserving Spatiotemporal Databases.

Elias Dritsas, Maria Trigka, Panagiotis Gerolymatos, Spyros Sioutas

Algorithms, 2018

MapReduce Implementations for Privacy Preserving Record Linkage.

Dimitris Boussis, Elias Dritsas, Andreas Kanavos, Spyros Sioutas, Giannis Tzimas, Vassilios S. Verykios

Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

An Apache Spark implementation for graph-based hashtag sentiment classification on Twitter.

Elias Dritsas, Ioannis E. Livieris, Konstantinos C. Giotopoulos, Leonidas Theodorakopoulos

Proceedings of the 22nd Pan-Hellenic Conference on Informatics, 2018

2017

Bloom Filters for Efficient Coupling Between Tables of a Database.

Eirini Chioti, Elias Dritsas, Andreas Kanavos, Xenophon Liapakis, Spyros Sioutas, Athanasios K. Tsakalidis

Proceedings of the Engineering Applications of Neural Networks, 2017