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ORCIDElias Dritsas
Person information
- affiliation: University of Patras, Greece
- affiliation: Industrial Systems Institute, Athena Research and Innovation Center, Patras, Greece
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2020 – today
- 2024
[j22]Elias Dritsas, Maria Trigka:
Application of Deep Learning for Heart Attack Prediction with Explainable Artificial Intelligence. Comput. 13(10): 244 (2024)- [j21]Elias Dritsas
, Maria Trigka:
Machine Learning for Blockchain and IoT Systems in Smart Cities: A Survey. Future Internet 16(9): 324 (2024) - [j20]Elias Dritsas, Maria Trigka:
Utilizing Multi-Class Classification Methods for Automated Sleep Disorder Prediction. Inf. 15(8): 426 (2024) - [c31]Maria Trigka, Elias Dritsas, Phivos Mylonas:
New Perspectives in e-Learning: EEG-Based Modelling of Human Cognition Individual Differences. AIAI Workshops 2024: 290-299 - [c30]Maria Trigka, Elias Dritsas, Phivos Mylonas:
Eye State Classification Using Ensemble Machine Learning Models and SMOTE on EEG Data. SEEDA-CECNSM 2024: 168-173 - 2023
- [j19]Elias Dritsas, Maria Trigka:
Efficient Data-Driven Machine Learning Models for Water Quality Prediction. Comput. 11(2): 16 (2023) - [j18]Maria Trigka, Elias Dritsas:
Predicting the Occurrence of Metabolic Syndrome Using Machine Learning Models. Comput. 11(9): 170 (2023) - [j17]Elias Dritsas, Maria Trigka:
Supervised Machine Learning Models for Liver Disease Risk Prediction. Comput. 12(1): 19 (2023) - [j16]Elias Dritsas, Maria Trigka:
Supervised Machine Learning Models to Identify Early-Stage Symptoms of SARS-CoV-2. Sensors 23(1): 40 (2023) - [j15]Elias Dritsas, Maria Trigka:
Efficient Data-Driven Machine Learning Models for Cardiovascular Diseases Risk Prediction. Sensors 23(3): 1161 (2023) - [j14]Maria Trigka, Elias Dritsas:
Long-Term Coronary Artery Disease Risk Prediction with Machine Learning Models. Sensors 23(3): 1193 (2023) - [c29]Elias Dritsas, Maria Trigka, Phivos Mylonas:
Machine Learning Models for Prostate Cancer Identification. KDIR 2023: 421-428 - [c28]Elias Dritsas, Maria Trigka, Phivos Mylonas:
Ensemble Machine Learning Models for Breast Cancer Identification. AIAI Workshops 2023: 303-311 - [c27]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: 496-500 - [c26]Maria Trigka, Elias Dritsas, Phivos Mylonas:
Mental Confusion Prediction in E-Learning Contexts with EEG and Machine Learning. NiDS (1) 2023: 195-200 - [c25]Maria Trigka, Elias Dritsas, Phivos Mylonas:
A Multi-Class Classification Approach for Anemia Level Prediction with Machine Learning Models. SEEDA-CECNSM 2023: 1-6 - [c24]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: 1-6 - 2022
- [j13]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): 59 (2022) - [j12]Elias Dritsas, Maria Trigka:
Machine Learning Techniques for Chronic Kidney Disease Risk Prediction. Big Data Cogn. Comput. 6(3): 98 (2022) - [j11]Elias Dritsas, Maria Trigka:
Lung Cancer Risk Prediction with Machine Learning Models. Big Data Cogn. Comput. 6(4): 139 (2022) - [j10]Maria Trigka, Elias Dritsas:
Non-Linear Observer Design with Laguerre Polynomials. Entropy 24(7): 913 (2022) - [j9]Elias Dritsas, Maria Trigka:
A Methodology for Extracting Power-Efficient and Contrast Enhanced RGB Images. Sensors 22(4): 1461 (2022) - [j8]Elias Dritsas, Maria Trigka:
Stroke Risk Prediction with Machine Learning Techniques. Sensors 22(13): 4670 (2022) - [j7]Elias Dritsas, Maria Trigka:
Data-Driven Machine-Learning Methods for Diabetes Risk Prediction. Sensors 22(14): 5304 (2022) - [j6]Elias Dritsas, Maria Trigka:
Machine Learning Methods for Hypercholesterolemia Long-Term Risk Prediction. Sensors 22(14): 5365 (2022) - [j5]Maria Trigka, Elias Dritsas:
An Efficient Distributed Approach for Cooperative Spectrum Sensing in Varying Interests Cognitive Radio Networks. Sensors 22(17): 6692 (2022) - [c23]Elias Dritsas, Sotiris Alexiou, Ioannis Konstantoulas, Konstantinos Moustakas:
Short-term Glucose Prediction based on Oral Glucose Tolerance Test Values. HEALTHINF 2022: 249-255 - [c22]Elias Dritsas, Sotiris Alexiou, Konstantinos Moustakas:
Cardiovascular Disease Risk Prediction with Supervised Machine Learning Techniques. ICT4AWE 2022: 315-321 - [c21]Ioannis Konstantoulas, Elias Dritsas, Konstantinos Moustakas:
Sleep Quality Evaluation in Rich Information Data. IISA 2022: 1-4 - [c20]Elias Dritsas, Sotiris Alexiou, Konstantinos Moustakas:
Efficient Data-driven Machine Learning Models for Hypertension Risk Prediction. INISTA 2022: 1-6 - [c19]Maria Trigka, Elias Dritsas, Konstantinos Moustakas:
Joint Power and Contrast Shrinking in RGB Images with Exponential Smoothing. IVMSP 2022: 1-5 - [c18]Elias Dritsas, Sotiris Alexiou, Konstantinos Moustakas:
Metabolic Syndrome Risk Forecasting on Elderly with ML Techniques. LION 2022: 460-466 - [c17]Maria Trigka, Elias Dritsas, Christos Fidas:
A Survey on Signal Processing Methods for EEG-based Brain Computer Interface Systems. PCI 2022: 213-218 - [c16]Elias Dritsas, Sotirios Alexiou, Konstantinos Moustakas:
COPD Severity Prediction in Elderly with ML Techniques. PETRA 2022: 185-189 - [c15]Elias Dritsas, Maria Trigka, Phivos Mylonas:
A Multi-class Classification Approach for Weather Forecasting with Machine Learning Techniques. SMAP 2022: 1-5 - [c14]Elias Dritsas, Maria Trigka, Gerasimos Vonitsanos, Andreas Kanavos, Phivos Mylonas:
An Apache Spark Implementation for Text Document Clustering. SMAP 2022: 1-6 - 2021
- [j4]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: 103737-103757 (2021) - [c13]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: 395-406 - [c12]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: 1-4 - [c11]Elias Dritsas, Maria Trigka, Gerasimos Vonitsanos, Andreas Kanavos, Phivos Mylonas:
Aspect-Based Community Detection of Cultural Heritage Streaming Data. IISA 2021: 1-4 - [c10]Ioannis Konstantoulas, Otilia Kocsis, Elias Dritsas, Nikos Fakotakis, Konstantinos Moustakas:
Sleep Quality Monitoring with Human Assisted Corrections. IJCCI 2021: 435-444 - [c9]Nikos Fazakis, Elias Dritsas, Otilia Kocsis, Nikos Fakotakis, Konstantinos Moustakas:
Long-term Cholesterol Risk Prediction using Machine Learning Techniques in ELSA Database. IJCCI 2021: 445-450 - [c8]Elias Dritsas, Nikos Fazakis, Otilia Kocsis, Nikos Fakotakis, Konstantinos Moustakas:
Long-Term Hypertension Risk Prediction with ML Techniques in ELSA Database. LION 2021: 113-120 - [c7]Sotiris Alexiou, Elias Dritsas, Otilia Kocsis, Konstantinos Moustakas, Nikos Fakotakis:
An approach for Personalized Continuous Glucose Prediction with Regression Trees. SEEDA-CECNSM 2021: 1-6 - 2020
- [b1]Elias Dritsas:
Efficient algorithms for big data management (Αποδοτικοί αλγόριθμοι διαχείρισης μεγάλου όγκου δεδομένων). University of Patras, Greece, 2020 - [j3]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): 182 (2020) - [c6]Gerasimos Vonitsanos, Elias Dritsas, Andreas Kanavos, Phivos Mylonas, Spyros Sioutas:
Security and Privacy Solutions associated with NoSQL Data Stores. SMAP 2020: 1-5
2010 – 2019
- 2019
- [j2]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): 266 (2019) - [c5]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: 138-149 - [c4]Nikolaos Ntaliakouras, Gerasimos Vonitsanos, Andreas Kanavos, Elias Dritsas:
An Apache Spark Methodology for Forecasting Tourism Demand in Greece. IISA 2019: 1-5 - 2018
- [j1]Elias Dritsas, Maria Trigka, Panagiotis Gerolymatos, Spyros Sioutas:
Trajectory Clustering and k-NN for Robust Privacy Preserving Spatiotemporal Databases. Algorithms 11(12): 207 (2018) - [c3]Elias Dritsas, Ioannis E. Livieris, Konstantinos C. Giotopoulos, Leonidas Theodorakopoulos:
An Apache Spark implementation for graph-based hashtag sentiment classification on Twitter. PCI 2018: 255-260 - [c2]Dimitris Boussis, Elias Dritsas, Andreas Kanavos, Spyros Sioutas, Giannis Tzimas, Vassilios S. Verykios:
MapReduce Implementations for Privacy Preserving Record Linkage. SETN 2018: 16:1-16:4 - 2017
- [c1]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: 596-608
Coauthor Index
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last updated on 2024-11-11 22:28 CET by the dblp team
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