Search Results - "Dritsas, Elias" :: K.UTB vyhledávací portál

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Stroke Risk Prediction with Machine Learning Techniques

by Dritsas, Elias, Trigka, Maria
Published in Sensors (Basel, Switzerland) (21.06.2022)

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Data-Driven Machine-Learning Methods for Diabetes Risk Prediction

by Dritsas, Elias, Trigka, Maria
Published in Sensors (Basel, Switzerland) (15.07.2022)

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Efficient Data-Driven Machine Learning Models for Cardiovascular Diseases Risk Prediction

by Dritsas, Elias, Trigka, Maria
Published in Sensors (Basel, Switzerland) (19.01.2023)

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Long-Term Coronary Artery Disease Risk Prediction with Machine Learning Models

by Trigka, Maria, Dritsas, Elias
Published in Sensors (Basel, Switzerland) (20.01.2023)

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Supervised Machine Learning Models to Identify Early-Stage Symptoms of SARS-CoV-2

by Dritsas, Elias, Trigka, Maria
Published in Sensors (Basel, Switzerland) (21.12.2022)

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Machine Learning Methods for Hypercholesterolemia Long-Term Risk Prediction

by Dritsas, Elias, Trigka, Maria
Published in Sensors (Basel, Switzerland) (18.07.2022)

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An Efficient Distributed Approach for Cooperative Spectrum Sensing in Varying Interests Cognitive Radio Networks

by Trigka, Maria, Dritsas, Elias
Published in Sensors (Basel, Switzerland) (01.09.2022)

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Machine Learning Techniques for Chronic Kidney Disease Risk Prediction

by Dritsas, Elias, Trigka, Maria
Published in Big data and cognitive computing (01.09.2022)

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A Methodology for Extracting Power-Efficient and Contrast Enhanced RGB Images

by Dritsas, Elias, Trigka, Maria
Published in Sensors (Basel, Switzerland) (14.02.2022)

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Lung Cancer Risk Prediction with Machine Learning Models

by Dritsas, Elias, Trigka, Maria
Published in Big data and cognitive computing (01.11.2022)

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Supervised Machine Learning Models for Liver Disease Risk Prediction

by Dritsas, Elias, Trigka, Maria
Published in Computers (Basel) (01.01.2023)

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Efficient Data-Driven Machine Learning Models for Water Quality Prediction

by Dritsas, Elias, Trigka, Maria
Published in Computation (01.01.2023)

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Utilizing Multi-Class Classification Methods for Automated Sleep Disorder Prediction

by Dritsas, Elias, Trigka, Maria
Published in Information (Basel) (01.08.2024)

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Machine Learning for Blockchain and IoT Systems in Smart Cities: A Survey

by Dritsas, Elias, Trigka, Maria
Published in Future internet (01.09.2024)

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Non-Linear Observer Design with Laguerre Polynomials

by Trigka, Maria, Dritsas, Elias
Published in Entropy (Basel, Switzerland) (30.06.2022)

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Application of Deep Learning for Heart Attack Prediction with Explainable Artificial Intelligence

by Dritsas, Elias, Trigka, Maria
Published in Computers (Basel) (01.10.2024)

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Machine Learning Tools for Long-Term Type 2 Diabetes Risk Prediction

by Fazakis, Nikos, Kocsis, Otilia, Dritsas, Elias, Alexiou, Sotiris, Fakotakis, Nikos, Moustakas, Konstantinos
Published in IEEE access (2021)

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Predicting the Occurrence of Metabolic Syndrome Using Machine Learning Models

by Trigka, Maria, Dritsas, Elias
Published in Computation (01.09.2023)

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The Predictive Power of a Twitter User’s Profile on Cryptocurrency Popularity

by Trigka, Maria, Kanavos, Andreas, Dritsas, Elias, Vonitsanos, Gerasimos, Mylonas, Phivos
Published in Big data and cognitive computing (01.06.2022)

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Trajectory Clustering and k-NN for Robust Privacy Preserving Spatiotemporal Databases

by Dritsas, Elias, Trigka, Maria, Gerolymatos, Panagiotis, Sioutas , Spyros
Published in Algorithms (01.12.2018)

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