Maria Trigka - RankMe

80 papers C 2Journal 47Unranked 30

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 Survey on Privacy-Enhancing Techniques in the Era of Artificial Intelligence. NiDS Elias Dritsas, Maria Trigka, Phivos Mylonas
2024	—	`conf`	An Innovative Multi-Scale Strategy-Based Decision Engine for Zero-Touch Management and Orchestration in 6G. CAMAD Golshan Famitafreshi, Maria Trigka, Dimitris Selis, John S. Vardakas, Christos V. Verikoukis
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	—	`—`	Advanced signal processing techniques for next generation mobile networks in the mmWave spectrum (Προχωρημένες τεχνικές επεξεργασίας σήματος για κινητά δίκτυα επόμενης γενιάς στο χιλιοστομετρικό φάσμα συχνοτήτων) Maria Trigka
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	J	`jnl`	Context-Aware Automatic Sign Language Video Transcription in Psychiatric Interviews. Sensors Erion-Vasilis M. Pikoulis, Aristeidis Bifis, Maria Trigka, Constantinos Constantinopoulos, Dimitrios I. Kosmopoulos
2022	J	`jnl`	Data-Driven Machine-Learning Methods for Diabetes Risk Prediction. Sensors Elias Dritsas, Maria Trigka
2022	J	`jnl`	Efficient Distributed Multi-Task Schemes for mmWave MIMO Channel Estimation. IEEE Access Maria Trigka, Christos Mavrokefalidis, Kostas Berberidis
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`	Museum Guidance in Sign Language: the SignGuide project. PETRA Dimitrios I. Kosmopoulos, Constantinos Constantinopoulos, Maria Trigka, Dimitrios Papazachariou, Klimis Antzakas, Venetta Lampropoulou, Antonis A. Argyros, Iason Oikonomidis, Anastasios Roussos, Nikolaos Partarakis, George Papagiannakis, Konstandinos Grigoriadis, Angeliki Koukouvou, Angeliki Moneda
2022	J	`jnl`	Non-Linear Observer Design with Laguerre Polynomials. Entropy Maria Trigka, Elias Dritsas
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`	A Distributed Sparse Channel Estimation Technique for mm Wave Massive MIMO Systems. EUSIPCO Maria Trigka, Christos Mavrokefalidis, Kostas Berberidis
2021	J	`jnl`	A Distributed Sparse Channel Estimation Technique for mmWave Massive MIMO Systems. CoRR Maria Trigka, Christos Mavrokefalidis, Kostas Berberidis
2021	—	`conf`	A Hierarchical Ontology for Dialogue Acts in Psychiatric Interviews. PETRA Aristeidis Bifis, Maria Trigka, Sofia Dedegkika, Panagiota Goula, Constantinos Constantinopoulos, Dimitrios I. Kosmopoulos
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
2020	J	`jnl`	Full snapshot reconstruction in hybrid architecture antenna arrays. EURASIP J. Wirel. Commun. Netw. Maria Trigka, Christos Mavrokefalidis, Kostas Berberidis
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	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 Effective Preprocessing Scheme for DoA Estimation in Hybrid Antenna Arrays. ICT Maria Trigka, Christos Mavrokefalidis, Kostas Berberidis
2018	J	`jnl`	Trajectory Clustering and k-NN for Robust Privacy Preserving Spatiotemporal Databases. Algorithms Elias Dritsas, Maria Trigka, Panagiotis Gerolymatos, Spyros Sioutas