Elias Dritsas

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 49

Top Topics

Privacy Preserving

Exponential Smoothing

Cardiovascular Disease

Top Venues

Publications

Maria Trigka, Elias Dritsas, Phivos Mylonas
New Perspectives in e-Learning: EEG-Based Modelling of Human Cognition Individual Differences. AIAI Workshops (2024)
Elias Dritsas, Maria Trigka, Phivos Mylonas
Ensemble Machine Learning Models for Breast Cancer Identification. AIAI Workshops (2023)
Elias Dritsas, Maria Trigka
Efficient Data-Driven Machine Learning Models for Water Quality Prediction. Comput. 11 (2) (2023)
Elias Dritsas, Maria Trigka
Supervised Machine Learning Models for Liver Disease Risk Prediction. Comput. 12 (1) (2023)
Maria Trigka, Elias Dritsas, Phivos Mylonas
A Multi-Class Classification Approach for Anemia Level Prediction with Machine Learning Models. SEEDA-CECNSM (2023)
Elias Dritsas, Maria Trigka
Supervised Machine Learning Models to Identify Early-Stage Symptoms of SARS-CoV-2. Sensors 23 (1) (2023)
Maria Trigka, Elias Dritsas, Phivos Mylonas
Mental Confusion Prediction in E-Learning Contexts with EEG and Machine Learning. NiDS (1) (2023)
Elias Dritsas, Maria Trigka, Phivos Mylonas
Machine Learning Models for Prostate Cancer Identification. KDIR (2023)
Maria Trigka, Elias Dritsas
Predicting the Occurrence of Metabolic Syndrome Using Machine Learning Models. Comput. 11 (9) (2023)
Maria Trigka, Georgios Papadoulis, Elias Dritsas, Christos Fidas
Influences of Cognitive Styles on EEG-Based Activity: An Empirical Study on Visual Content Comprehension. INTERACT (4) (2023)
Elias Dritsas, Maria Trigka
Efficient Data-Driven Machine Learning Models for Cardiovascular Diseases Risk Prediction. Sensors 23 (3) (2023)
Amalia Chrysanthakopoulou, Elias Dritsas, Maria Trigka, Phivos Mylonas
An EEG-Based Application for Real-Time Mental State Recognition in Adaptive E-Learning Environment. SMAP (2023)
Maria Trigka, Elias Dritsas
Long-Term Coronary Artery Disease Risk Prediction with Machine Learning Models. Sensors 23 (3) (2023)
Elias Dritsas, Sotirios Alexiou, Konstantinos Moustakas
COPD Severity Prediction in Elderly with ML Techniques. PETRA (2022)
Elias Dritsas, Maria Trigka
A Methodology for Extracting Power-Efficient and Contrast Enhanced RGB Images. Sensors 22 (4) (2022)
Elias Dritsas, Sotiris Alexiou, Konstantinos Moustakas
Metabolic Syndrome Risk Forecasting on Elderly with ML Techniques. LION (2022)
Elias Dritsas, Sotiris Alexiou, Ioannis Konstantoulas, Konstantinos Moustakas
Short-term Glucose Prediction based on Oral Glucose Tolerance Test Values. HEALTHINF (2022)
Ioannis Konstantoulas, Elias Dritsas, Konstantinos Moustakas
Sleep Quality Evaluation in Rich Information Data. IISA (2022)
Elias Dritsas, Maria Trigka
Lung Cancer Risk Prediction with Machine Learning Models. Big Data Cogn. Comput. 6 (4) (2022)
Maria Trigka, Elias Dritsas
An Efficient Distributed Approach for Cooperative Spectrum Sensing in Varying Interests Cognitive Radio Networks. Sensors 22 (17) (2022)
Maria Trigka, Elias Dritsas
Non-Linear Observer Design with Laguerre Polynomials. Entropy 24 (7) (2022)
Maria Trigka, Andreas Kanavos, Elias Dritsas, Gerasimos Vonitsanos, Phivos Mylonas
The Predictive Power of a Twitter User's Profile on Cryptocurrency Popularity. Big Data Cogn. Comput. 6 (2) (2022)
Elias Dritsas, Maria Trigka
Machine Learning Methods for Hypercholesterolemia Long-Term Risk Prediction. Sensors 22 (14) (2022)
Elias Dritsas, Maria Trigka
Data-Driven Machine-Learning Methods for Diabetes Risk Prediction. Sensors 22 (14) (2022)
Elias Dritsas, Sotiris Alexiou, Konstantinos Moustakas
Cardiovascular Disease Risk Prediction with Supervised Machine Learning Techniques. ICT4AWE (2022)
Elias Dritsas, Maria Trigka
Machine Learning Techniques for Chronic Kidney Disease Risk Prediction. Big Data Cogn. Comput. 6 (3) (2022)
Elias Dritsas, Sotiris Alexiou, Konstantinos Moustakas
Efficient Data-driven Machine Learning Models for Hypertension Risk Prediction. INISTA (2022)
Elias Dritsas, Maria Trigka, Gerasimos Vonitsanos, Andreas Kanavos, Phivos Mylonas
An Apache Spark Implementation for Text Document Clustering. SMAP (2022)
Maria Trigka, Elias Dritsas, Konstantinos Moustakas
Joint Power and Contrast Shrinking in RGB Images with Exponential Smoothing. IVMSP (2022)
Maria Trigka, Elias Dritsas, Christos Fidas
A Survey on Signal Processing Methods for EEG-based Brain Computer Interface Systems. PCI (2022)
Elias Dritsas, Maria Trigka
Stroke Risk Prediction with Machine Learning Techniques. Sensors 22 (13) (2022)
Elias Dritsas, Maria Trigka, Phivos Mylonas
A Multi-class Classification Approach for Weather Forecasting with Machine Learning Techniques. SMAP (2022)
Nikos Fazakis, Otilia Kocsis, Elias Dritsas, Sotiris Alexiou, Nikos Fakotakis, Konstantinos Moustakas
Machine Learning Tools for Long-Term Type 2 Diabetes Risk Prediction. IEEE Access 9 (2021)
Andreas Kanavos, Maria Trigka, Elias Dritsas, Gerasimos Vonitsanos, Phivos Mylonas
Community Detection Algorithms for Cultural and Natural Heritage Data in Social Networks. AIAI Workshops (2021)
Sotiris Alexiou, Elias Dritsas, Otilia Kocsis, Konstantinos Moustakas, Nikos Fakotakis
An approach for Personalized Continuous Glucose Prediction with Regression Trees. SEEDA-CECNSM (2021)
Ioannis Konstantoulas, Otilia Kocsis, Elias Dritsas, Nikos Fakotakis, Konstantinos Moustakas
Sleep Quality Monitoring with Human Assisted Corrections. IJCCI (2021)
Elias Dritsas, Nikos Fazakis, Otilia Kocsis, Konstantinos Moustakas, Nikos Fakotakis
Optimal Team Pairing of Elder Office Employees with Machine Learning on Synthetic Data. IISA (2021)
Elias Dritsas, Maria Trigka, Gerasimos Vonitsanos, Andreas Kanavos, Phivos Mylonas
Aspect-Based Community Detection of Cultural Heritage Streaming Data. IISA (2021)
Nikos Fazakis, Elias Dritsas, Otilia Kocsis, Nikos Fakotakis, Konstantinos Moustakas
Long-term Cholesterol Risk Prediction using Machine Learning Techniques in ELSA Database. IJCCI (2021)
Elias Dritsas, Nikos Fazakis, Otilia Kocsis, Nikos Fakotakis, Konstantinos Moustakas
Long-Term Hypertension Risk Prediction with ML Techniques in ELSA Database. LION (2021)
Elias Dritsas, Andreas Kanavos, Maria Trigka, Gerasimos Vonitsanos, Spyros Sioutas, Athanasios K. Tsakalidis
Trajectory Clustering and k-NN for Robust Privacy Preserving k-NN Query Processing in GeoSpark. Algorithms 13 (8) (2020)
Gerasimos Vonitsanos, Elias Dritsas, Andreas Kanavos, Phivos Mylonas, Spyros Sioutas
Security and Privacy Solutions associated with NoSQL Data Stores. SMAP (2020)
Nikolaos Ntaliakouras, Gerasimos Vonitsanos, Andreas Kanavos, Elias Dritsas
An Apache Spark Methodology for Forecasting Tourism Demand in Greece. IISA (2019)
Elias Dritsas, Andreas Kanavos, Maria Trigka, Spyros Sioutas, Athanasios K. Tsakalidis
Storage Efficient Trajectory Clustering and k-NN for Robust Privacy Preserving Spatio-Temporal Databases. Algorithms 12 (12) (2019)
Elias Dritsas, Gerasimos Vonitsanos, Ioannis E. Livieris, Andreas Kanavos, Aristidis Ilias, Christos Makris, Athanasios K. Tsakalidis
Pre-processing Framework for Twitter Sentiment Classification. AIAI (Workshops) (2019)
Elias Dritsas, Maria Trigka, Panagiotis Gerolymatos, Spyros Sioutas
Trajectory Clustering and k-NN for Robust Privacy Preserving Spatiotemporal Databases. Algorithms 11 (12) (2018)
Elias Dritsas, Ioannis E. Livieris, Konstantinos C. Giotopoulos, Leonidas Theodorakopoulos
An Apache Spark implementation for graph-based hashtag sentiment classification on Twitter. PCI (2018)
Dimitris Boussis, Elias Dritsas, Andreas Kanavos, Spyros Sioutas, Giannis Tzimas, Vassilios S. Verykios
MapReduce Implementations for Privacy Preserving Record Linkage. SETN (2018)
Eirini Chioti, Elias Dritsas, Andreas Kanavos, Xenophon Liapakis, Spyros Sioutas, Athanasios K. Tsakalidis
Bloom Filters for Efficient Coupling Between Tables of a Database. EANN (2017)