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ORCIDMaria Trigka
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2020 – today
- 2024
[j24]Elias Dritsas, Maria Trigka:
Application of Deep Learning for Heart Attack Prediction with Explainable Artificial Intelligence. Comput. 13(10): 244 (2024)- [j23]Elias Dritsas
, Maria Trigka:
Machine Learning for Blockchain and IoT Systems in Smart Cities: A Survey. Future Internet 16(9): 324 (2024) - [j22]Elias Dritsas, Maria Trigka:
Utilizing Multi-Class Classification Methods for Automated Sleep Disorder Prediction. Inf. 15(8): 426 (2024) - [c18]Maria Trigka, Elias Dritsas, Phivos Mylonas:
New Perspectives in e-Learning: EEG-Based Modelling of Human Cognition Individual Differences. AIAI Workshops 2024: 290-299 - [c17]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
- [j21]Elias Dritsas, Maria Trigka:
Efficient Data-Driven Machine Learning Models for Water Quality Prediction. Comput. 11(2): 16 (2023) - [j20]Maria Trigka, Elias Dritsas:
Predicting the Occurrence of Metabolic Syndrome Using Machine Learning Models. Comput. 11(9): 170 (2023) - [j19]Elias Dritsas, Maria Trigka:
Supervised Machine Learning Models for Liver Disease Risk Prediction. Comput. 12(1): 19 (2023) - [j18]Elias Dritsas, Maria Trigka:
Supervised Machine Learning Models to Identify Early-Stage Symptoms of SARS-CoV-2. Sensors 23(1): 40 (2023) - [j17]Elias Dritsas, Maria Trigka:
Efficient Data-Driven Machine Learning Models for Cardiovascular Diseases Risk Prediction. Sensors 23(3): 1161 (2023) - [j16]Maria Trigka, Elias Dritsas:
Long-Term Coronary Artery Disease Risk Prediction with Machine Learning Models. Sensors 23(3): 1193 (2023) - [c16]Elias Dritsas, Maria Trigka, Phivos Mylonas:
Machine Learning Models for Prostate Cancer Identification. KDIR 2023: 421-428 - [c15]Elias Dritsas, Maria Trigka, Phivos Mylonas:
Ensemble Machine Learning Models for Breast Cancer Identification. AIAI Workshops 2023: 303-311 - [c14]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 - [c13]Maria Trigka, Elias Dritsas, Phivos Mylonas:
Mental Confusion Prediction in E-Learning Contexts with EEG and Machine Learning. NiDS (1) 2023: 195-200 - [c12]Maria Trigka, Elias Dritsas, Phivos Mylonas:
A Multi-Class Classification Approach for Anemia Level Prediction with Machine Learning Models. SEEDA-CECNSM 2023: 1-6 - [c11]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
- [b1]Maria Trigka:
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). University of Patras, Greece, 2022 - [j15]Maria Trigka, Christos Mavrokefalidis, Kostas Berberidis:
Efficient Distributed Multi-Task Schemes for mmWave MIMO Channel Estimation. IEEE Access 10: 105232-105248 (2022) - [j14]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) - [j13]Elias Dritsas, Maria Trigka:
Machine Learning Techniques for Chronic Kidney Disease Risk Prediction. Big Data Cogn. Comput. 6(3): 98 (2022) - [j12]Elias Dritsas, Maria Trigka:
Lung Cancer Risk Prediction with Machine Learning Models. Big Data Cogn. Comput. 6(4): 139 (2022) - [j11]Maria Trigka, Elias Dritsas:
Non-Linear Observer Design with Laguerre Polynomials. Entropy 24(7): 913 (2022) - [j10]Elias Dritsas, Maria Trigka:
A Methodology for Extracting Power-Efficient and Contrast Enhanced RGB Images. Sensors 22(4): 1461 (2022) - [j9]Erion-Vasilis M. Pikoulis, Aristeidis Bifis, Maria Trigka, Constantinos Constantinopoulos, Dimitrios I. Kosmopoulos:
Context-Aware Automatic Sign Language Video Transcription in Psychiatric Interviews. Sensors 22(7): 2656 (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) - [c10]Maria Trigka, Elias Dritsas, Konstantinos Moustakas:
Joint Power and Contrast Shrinking in RGB Images with Exponential Smoothing. IVMSP 2022: 1-5 - [c9]Maria Trigka, Elias Dritsas, Christos Fidas:
A Survey on Signal Processing Methods for EEG-based Brain Computer Interface Systems. PCI 2022: 213-218 - [c8]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:
Museum Guidance in Sign Language: the SignGuide project. PETRA 2022: 646-652 - [c7]Elias Dritsas, Maria Trigka, Phivos Mylonas:
A Multi-class Classification Approach for Weather Forecasting with Machine Learning Techniques. SMAP 2022: 1-5 - [c6]Elias Dritsas, Maria Trigka, Gerasimos Vonitsanos, Andreas Kanavos, Phivos Mylonas:
An Apache Spark Implementation for Text Document Clustering. SMAP 2022: 1-6 - 2021
- [c5]Maria Trigka, Christos Mavrokefalidis, Kostas Berberidis:
A Distributed Sparse Channel Estimation Technique for mm Wave Massive MIMO Systems. EUSIPCO 2021: 2154-2158 - [c4]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 - [c3]Elias Dritsas, Maria Trigka, Gerasimos Vonitsanos, Andreas Kanavos, Phivos Mylonas:
Aspect-Based Community Detection of Cultural Heritage Streaming Data. IISA 2021: 1-4 - [c2]Aristeidis Bifis, Maria Trigka, Sofia Dedegkika, Panagiota Goula, Constantinos Constantinopoulos, Dimitrios I. Kosmopoulos:
A Hierarchical Ontology for Dialogue Acts in Psychiatric Interviews. PETRA 2021: 330-337 - [i1]Maria Trigka, Christos Mavrokefalidis, Kostas Berberidis:
A Distributed Sparse Channel Estimation Technique for mmWave Massive MIMO Systems. CoRR abs/2107.10691 (2021) - 2020
- [j4]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) - [j3]Maria Trigka, Christos Mavrokefalidis, Kostas Berberidis:
Full snapshot reconstruction in hybrid architecture antenna arrays. EURASIP J. Wirel. Commun. Netw. 2020(1): 243 (2020)
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) - 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) - [c1]Maria Trigka, Christos Mavrokefalidis, Kostas Berberidis:
An Effective Preprocessing Scheme for DoA Estimation in Hybrid Antenna Arrays. ICT 2018: 127-131
Coauthor Index
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last updated on 2024-11-08 20:31 CET by the dblp team
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