Elias Dritsas - RankMe

90 papers C 7Journal 44Unranked 38

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Advances in geospatial artificial intelligence for remote sensing applications. Comput. Sci. Rev. Elias Dritsas, Maria Trigka
2026	J	`jnl`	Big data analytics in e-learning: ethical challenges and opportunities for engineering education. AI Ethics Elias Dritsas, Maria Trigka
2026	J	`jnl`	Control theory in the era of intelligent systems: Applications, trends, and future directions. Annu. Rev. Control. Maria Trigka, Elias Dritsas
2026	J	`jnl`	Machine learning in modern database systems: Techniques, architectures, and deployment challenges. Eng. Appl. Artif. Intell. Elias Dritsas, Maria Trigka
2026	J	`jnl`	Multidimensional challenges of affective computing in virtual and augmented reality: ethical, technical, and social implications. AI Ethics Elias Dritsas, Maria Trigka
2025	—	`conf`	"Human-Computer Interaction in the Big Data Era: Systems, Cognition, and Interactive Intelligence". CHI Greece Elias Dritsas, Maria Trigka, Gerasimos Vonitsanos, Phivos Mylonas
2025	J	`jnl`	A Survey on Cybersecurity in IoT. Future Internet Elias Dritsas, Maria Trigka
2025	J	`jnl`	A Survey on the Applications of Cloud Computing in the Industrial Internet of Things. Big Data Cogn. Comput. Elias Dritsas, Maria Trigka
2025	—	`conf`	AI-Driven Beamforming and Load Balancing in 5G Edge Networks for Smart Municipalities. SMAP Maria Trigka, Elias Dritsas, Phivos Mylonas
2025	J	`jnl`	Applying Machine Learning on Big Data With Apache Spark. IEEE Access Elias Dritsas, Maria Trigka
2025	—	`conf`	Big Data Analytics in Smart Cities: Systems, Techniques, and Applications. ISC2 Elias Dritsas, Maria Trigka, Phivos Mylonas
2025	—	`conf`	Big Data-Driven Trip Duration Prediction in Urban Transportation Systems. IISA Elias Dritsas, Maria Trigka, Phivos Mylonas
2025	J	`jnl`	Big data and Internet of Things applications in smart cities: Recent advances, challenges, and critical issues. Internet Things Elias Dritsas, Maria Trigka
2025	—	`conf`	Comparative Analysis of Machine Learning Models for Employee Salary Prediction. NiDS (1) Elias Dritsas, Maria Trigka, Phivos Mylonas
2025	J	`jnl`	Database Systems in the Big Data Era: Architectures, Performance, and Open Challenges. IEEE Access Elias Dritsas, Maria Trigka
2025	J	`jnl`	Edge and Cloud Computing in Smart Cities. Future Internet Maria Trigka, Elias Dritsas
2025	—	`conf`	Evaluating Machine Learning Approaches for Residential Property Price Estimation. SEEDA-CECNSM Elias Dritsas, Maria Trigka, Phivos Mylonas
2025	J	`jnl`	Exploring the Intersection of Machine Learning and Big Data: A Survey. Mach. Learn. Knowl. Extr. Elias Dritsas, Maria Trigka
2025	C	`conf`	Eye-Based Cognitive Overload Prediction in Human-Machine Interaction via Machine Learning. WEBIST Maria Trigka, Elias Dritsas, Phivos Mylonas
2025	J	`jnl`	Federated Learning for IoT: A Survey of Techniques, Challenges, and Applications. J. Sens. Actuator Networks Elias Dritsas, Maria Trigka
2025	J	`jnl`	Improving Cardiovascular Disease Prediction With Deep Learning and Correlation-Aware SMOTE. IEEE Access Maria Trigka, Elias Dritsas
2025	—	`conf`	Machine Learning Applications in Databases and Big Data Analytics. NiDS (1) Elias Dritsas, Maria Trigka, Phivos Mylonas
2025	J	`jnl`	Machine Learning and Data Science in Social Sciences: Methods, Applications, and Future Directions. IEEE Access Elias Dritsas, Maria Trigka
2025	J	`jnl`	Machine Learning in E-Commerce: Trends, Applications, and Future Challenges. IEEE Access Elias Dritsas, Maria Trigka
2025	J	`jnl`	Machine Learning in Intelligent Networks: Architectures, Techniques, and Use Cases. IEEE Access Elias Dritsas, Maria Trigka
2025	J	`jnl`	Methodological and Technological Advancements in E-Learning. Inf. Elias Dritsas, Maria Trigka
2025	J	`jnl`	Multimodal Interaction, Interfaces, and Communication: A Survey. Multimodal Technol. Interact. Elias Dritsas, Maria Trigka, Christos Troussas, Phivos Mylonas
2025	—	`conf`	NoSQL Databases: Models, Architectures, and Trends for Scalable Data Management. SMAP Elias Dritsas, Maria Trigka, Phivos Mylonas
2025	J	`jnl`	The Evolution of Generative AI: Trends and Applications. IEEE Access Maria Trigka, Elias Dritsas
2025	J	`jnl`	Wireless Sensor Networks: From Fundamentals and Applications to Innovations and Future Trends. IEEE Access Maria Trigka, Elias Dritsas
2024	—	`conf`	A Mobility-Aware Reinforcement Learning Proactive Solution for State Data Migration in Edge Computing. CAMAD Elias Dritsas, Kostas Ramantas, Christos V. Verikoukis
2024	—	`conf`	A Survey on Privacy-Enhancing Techniques in the Era of Artificial Intelligence. NiDS Elias Dritsas, Maria Trigka, Phivos Mylonas
2024	J	`jnl`	Application of Deep Learning for Heart Attack Prediction with Explainable Artificial Intelligence. Comput. Elias Dritsas, Maria Trigka
2024	C	`conf`	Application of Machine Learning Models to Predict e-Learning Engagement Using EEG Data. WEBIST Elias Dritsas, Maria Trigka, Phivos Mylonas
2024	—	`conf`	Driver Sleepiness Detection Using Machine Learning Models on EEG Data. SETN Maria Trigka, Elias Dritsas, Phivos Mylonas
2024	—	`conf`	Eye State Classification Using Ensemble Machine Learning Models and SMOTE on EEG Data. SEEDA-CECNSM Maria Trigka, Elias Dritsas, Phivos Mylonas
2024	J	`jnl`	Machine Learning for Blockchain and IoT Systems in Smart Cities: A Survey. Future Internet Elias Dritsas, Maria Trigka
2024	J	`jnl`	Machine Learning in Information and Communications Technology: A Survey. Inf. Elias Dritsas, Maria Trigka
2024	—	`conf`	New Perspectives in e-Learning: EEG-Based Modelling of Human Cognition Individual Differences. AIAI (Workshops) Maria Trigka, Elias Dritsas, Phivos Mylonas
2024	—	`conf`	Performance and Security Analysis of the Diffie-Hellman Key Exchange Protocol. SMAP Elias Dritsas, Maria Trigka, Phivos Mylonas
2024	J	`jnl`	Utilizing Multi-Class Classification Methods for Automated Sleep Disorder Prediction. Inf. Elias Dritsas, Maria Trigka
2023	—	`conf`	A Multi-Class Classification Approach for Anemia Level Prediction with Machine Learning Models. SEEDA-CECNSM Maria Trigka, Elias Dritsas, Phivos Mylonas
2023	—	`conf`	An EEG-Based Application for Real-Time Mental State Recognition in Adaptive E-Learning Environment. SMAP Amalia Chrysanthakopoulou, Elias Dritsas, Maria Trigka, Phivos Mylonas
2023	J	`jnl`	Efficient Data-Driven Machine Learning Models for Cardiovascular Diseases Risk Prediction. Sensors Elias Dritsas, Maria Trigka
2023	J	`jnl`	Efficient Data-Driven Machine Learning Models for Water Quality Prediction. Comput. Elias Dritsas, Maria Trigka
2023	—	`conf`	Ensemble Machine Learning Models for Breast Cancer Identification. AIAI (Workshops) Elias Dritsas, Maria Trigka, Phivos Mylonas
2023	—	`conf`	Influences of Cognitive Styles on EEG-Based Activity: An Empirical Study on Visual Content Comprehension. INTERACT (4) Maria Trigka, Georgios Papadoulis, Elias Dritsas, Christos Fidas
2023	J	`jnl`	Long-Term Coronary Artery Disease Risk Prediction with Machine Learning Models. Sensors Maria Trigka, Elias Dritsas
2023	—	`conf`	Machine Learning Models for Prostate Cancer Identification. KDIR Elias Dritsas, Maria Trigka, Phivos Mylonas
2023	—	`conf`	Mental Confusion Prediction in E-Learning Contexts with EEG and Machine Learning. NiDS (1) Maria Trigka, Elias Dritsas, Phivos Mylonas
2023	J	`jnl`	Predicting the Occurrence of Metabolic Syndrome Using Machine Learning Models. Comput. Maria Trigka, Elias Dritsas
2023	J	`jnl`	Supervised Machine Learning Models for Liver Disease Risk Prediction. Comput. Elias Dritsas, Maria Trigka
2023	J	`jnl`	Supervised Machine Learning Models to Identify Early-Stage Symptoms of SARS-CoV-2. Sensors Elias Dritsas, Maria Trigka
2022	J	`jnl`	A Methodology for Extracting Power-Efficient and Contrast Enhanced RGB Images. Sensors Elias Dritsas, Maria Trigka
2022	—	`conf`	A Multi-class Classification Approach for Weather Forecasting with Machine Learning Techniques. SMAP Elias Dritsas, Maria Trigka, Phivos Mylonas
2022	—	`conf`	A Survey on Signal Processing Methods for EEG-based Brain Computer Interface Systems. PCI Maria Trigka, Elias Dritsas, Christos Fidas
2022	—	`conf`	An Apache Spark Implementation for Text Document Clustering. SMAP Elias Dritsas, Maria Trigka, Gerasimos Vonitsanos, Andreas Kanavos, Phivos Mylonas
2022	J	`jnl`	An Efficient Distributed Approach for Cooperative Spectrum Sensing in Varying Interests Cognitive Radio Networks. Sensors Maria Trigka, Elias Dritsas
2022	—	`conf`	COPD Severity Prediction in Elderly with ML Techniques. PETRA Elias Dritsas, Sotirios Alexiou, Konstantinos Moustakas
2022	C	`conf`	Cardiovascular Disease Risk Prediction with Supervised Machine Learning Techniques. ICT4AWE Elias Dritsas, Sotiris Alexiou, Konstantinos Moustakas
2022	J	`jnl`	Data-Driven Machine-Learning Methods for Diabetes Risk Prediction. Sensors Elias Dritsas, Maria Trigka
2022	C	`conf`	Efficient Data-driven Machine Learning Models for Hypertension Risk Prediction. INISTA Elias Dritsas, Sotiris Alexiou, Konstantinos Moustakas
2022	—	`conf`	Joint Power and Contrast Shrinking in RGB Images with Exponential Smoothing. IVMSP Maria Trigka, Elias Dritsas, Konstantinos Moustakas
2022	J	`jnl`	Lung Cancer Risk Prediction with Machine Learning Models. Big Data Cogn. Comput. Elias Dritsas, Maria Trigka
2022	J	`jnl`	Machine Learning Methods for Hypercholesterolemia Long-Term Risk Prediction. Sensors Elias Dritsas, Maria Trigka
2022	J	`jnl`	Machine Learning Techniques for Chronic Kidney Disease Risk Prediction. Big Data Cogn. Comput. Elias Dritsas, Maria Trigka
2022	—	`conf`	Metabolic Syndrome Risk Forecasting on Elderly with ML Techniques. LION Elias Dritsas, Sotiris Alexiou, Konstantinos Moustakas
2022	J	`jnl`	Non-Linear Observer Design with Laguerre Polynomials. Entropy Maria Trigka, Elias Dritsas
2022	—	`conf`	Short-term Glucose Prediction based on Oral Glucose Tolerance Test Values. HEALTHINF Elias Dritsas, Sotiris Alexiou, Ioannis Konstantoulas, Konstantinos Moustakas
2022	—	`conf`	Sleep Quality Evaluation in Rich Information Data. IISA Ioannis Konstantoulas, Elias Dritsas, Konstantinos Moustakas
2022	J	`jnl`	Stroke Risk Prediction with Machine Learning Techniques. Sensors Elias Dritsas, Maria Trigka
2022	J	`jnl`	The Predictive Power of a Twitter User's Profile on Cryptocurrency Popularity. Big Data Cogn. Comput. Maria Trigka, Andreas Kanavos, Elias Dritsas, Gerasimos Vonitsanos, Phivos Mylonas
2021	—	`conf`	An approach for Personalized Continuous Glucose Prediction with Regression Trees. SEEDA-CECNSM Sotiris Alexiou, Elias Dritsas, Otilia Kocsis, Konstantinos Moustakas, Nikos Fakotakis
2021	—	`conf`	Aspect-Based Community Detection of Cultural Heritage Streaming Data. IISA Elias Dritsas, Maria Trigka, Gerasimos Vonitsanos, Andreas Kanavos, Phivos Mylonas
2021	—	`conf`	Community Detection Algorithms for Cultural and Natural Heritage Data in Social Networks. AIAI (Workshops) Andreas Kanavos, Maria Trigka, Elias Dritsas, Gerasimos Vonitsanos, Phivos Mylonas
2021	—	`conf`	Long-Term Hypertension Risk Prediction with ML Techniques in ELSA Database. LION Elias Dritsas, Nikos Fazakis, Otilia Kocsis, Nikos Fakotakis, Konstantinos Moustakas
2021	C	`conf`	Long-term Cholesterol Risk Prediction using Machine Learning Techniques in ELSA Database. IJCCI Nikos Fazakis, Elias Dritsas, Otilia Kocsis, Nikos Fakotakis, Konstantinos Moustakas
2021	J	`jnl`	Machine Learning Tools for Long-Term Type 2 Diabetes Risk Prediction. IEEE Access Nikos Fazakis, Otilia Kocsis, Elias Dritsas, Sotiris Alexiou, Nikos Fakotakis, Konstantinos Moustakas
2021	—	`conf`	Optimal Team Pairing of Elder Office Employees with Machine Learning on Synthetic Data. IISA Elias Dritsas, Nikos Fazakis, Otilia Kocsis, Konstantinos Moustakas, Nikos Fakotakis
2021	C	`conf`	Sleep Quality Monitoring with Human Assisted Corrections. IJCCI Ioannis Konstantoulas, Otilia Kocsis, Elias Dritsas, Nikos Fakotakis, Konstantinos Moustakas
2020	—	`—`	Efficient algorithms for big data management (Αποδοτικοί αλγόριθμοι διαχείρισης μεγάλου όγκου δεδομένων). Elias Dritsas
2020	—	`conf`	Security and Privacy Solutions associated with NoSQL Data Stores. SMAP Gerasimos Vonitsanos, Elias Dritsas, Andreas Kanavos, Phivos Mylonas, Spyros Sioutas
2020	J	`jnl`	Trajectory Clustering and k-NN for Robust Privacy Preserving k-NN Query Processing in GeoSpark. Algorithms Elias Dritsas, Andreas Kanavos, Maria Trigka, Gerasimos Vonitsanos, Spyros Sioutas, Athanasios K. Tsakalidis
2019	—	`conf`	An Apache Spark Methodology for Forecasting Tourism Demand in Greece. IISA Nikolaos Ntaliakouras, Gerasimos Vonitsanos, Andreas Kanavos, Elias Dritsas
2019	—	`conf`	Pre-processing Framework for Twitter Sentiment Classification. AIAI (Workshops) Elias Dritsas, Gerasimos Vonitsanos, Ioannis E. Livieris, Andreas Kanavos, Aristidis Ilias, Christos Makris, Athanasios K. Tsakalidis
2019	J	`jnl`	Storage Efficient Trajectory Clustering and k-NN for Robust Privacy Preserving Spatio-Temporal Databases. Algorithms Elias Dritsas, Andreas Kanavos, Maria Trigka, Spyros Sioutas, Athanasios K. Tsakalidis
2018	—	`conf`	An Apache Spark implementation for graph-based hashtag sentiment classification on Twitter. PCI Elias Dritsas, Ioannis E. Livieris, Konstantinos C. Giotopoulos, Leonidas Theodorakopoulos
2018	—	`conf`	MapReduce Implementations for Privacy Preserving Record Linkage. SETN Dimitris Boussis, Elias Dritsas, Andreas Kanavos, Spyros Sioutas, Giannis Tzimas, Vassilios S. Verykios
2018	J	`jnl`	Trajectory Clustering and k-NN for Robust Privacy Preserving Spatiotemporal Databases. Algorithms Elias Dritsas, Maria Trigka, Panagiotis Gerolymatos, Spyros Sioutas
2017	C	`conf`	Bloom Filters for Efficient Coupling Between Tables of a Database. EANN Eirini Chioti, Elias Dritsas, Andreas Kanavos, Xenophon Liapakis, Spyros Sioutas, Athanasios K. Tsakalidis