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Maria Trigka

Showing results (1-10 of 13) with videos related to

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Sensors (Basel, Switzerland)|July 9, 2022
Stroke Risk Prediction with Machine Learning TechniquesElias Dritsas, Maria Trigka
Sensors (Basel, Switzerland)|July 27, 2022
Data-Driven Machine-Learning Methods for Diabetes Risk PredictionElias Dritsas, Maria Trigka
Sensors (Basel, Switzerland)|February 26, 2022
A Methodology for Extracting Power-Efficient and Contrast Enhanced RGB ImagesElias Dritsas, Maria Trigka
Sensors (Basel, Switzerland)|July 27, 2022
Machine Learning Methods for Hypercholesterolemia Long-Term Risk PredictionElias Dritsas, Maria Trigka
Sensors (Basel, Switzerland)|January 8, 2023
Supervised Machine Learning Models to Identify Early-Stage Symptoms of SARS-CoV-2Elias Dritsas, Maria Trigka
Sensors (Basel, Switzerland)|September 9, 2022
An Efficient Distributed Approach for Cooperative Spectrum Sensing in Varying Interests Cognitive Radio NetworksMaria Trigka, Elias Dritsas
Sensors (Basel, Switzerland)|February 11, 2023
Efficient Data-Driven Machine Learning Models for Cardiovascular Diseases Risk PredictionElias Dritsas, Maria Trigka
Sensors (Basel, Switzerland)|January 11, 2025
A Comprehensive Survey of Machine Learning Techniques and Models for Object DetectionMaria Trigka, Elias Dritsas
Sensors (Basel, Switzerland)|February 11, 2023
Long-Term Coronary Artery Disease Risk Prediction with Machine Learning ModelsMaria Trigka, Elias Dritsas
Sensors (Basel, Switzerland)|January 25, 2025
A Comprehensive Survey of Deep Learning Approaches in Image ProcessingMaria Trigka, Elias Dritsas
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Sensors (Basel, Switzerland)|July 9, 2022
Stroke Risk Prediction with Machine Learning TechniquesElias Dritsas, Maria Trigka
Sensors (Basel, Switzerland)|July 27, 2022
Data-Driven Machine-Learning Methods for Diabetes Risk PredictionElias Dritsas, Maria Trigka
Sensors (Basel, Switzerland)|February 26, 2022
A Methodology for Extracting Power-Efficient and Contrast Enhanced RGB ImagesElias Dritsas, Maria Trigka
Sensors (Basel, Switzerland)|July 27, 2022
Machine Learning Methods for Hypercholesterolemia Long-Term Risk PredictionElias Dritsas, Maria Trigka
Sensors (Basel, Switzerland)|January 8, 2023
Supervised Machine Learning Models to Identify Early-Stage Symptoms of SARS-CoV-2Elias Dritsas, Maria Trigka
Sensors (Basel, Switzerland)|September 9, 2022
An Efficient Distributed Approach for Cooperative Spectrum Sensing in Varying Interests Cognitive Radio NetworksMaria Trigka, Elias Dritsas
Sensors (Basel, Switzerland)|February 11, 2023
Efficient Data-Driven Machine Learning Models for Cardiovascular Diseases Risk PredictionElias Dritsas, Maria Trigka
Sensors (Basel, Switzerland)|January 11, 2025
A Comprehensive Survey of Machine Learning Techniques and Models for Object DetectionMaria Trigka, Elias Dritsas
Sensors (Basel, Switzerland)|February 11, 2023
Long-Term Coronary Artery Disease Risk Prediction with Machine Learning ModelsMaria Trigka, Elias Dritsas
Sensors (Basel, Switzerland)|January 25, 2025
A Comprehensive Survey of Deep Learning Approaches in Image ProcessingMaria Trigka, Elias Dritsas
Pageof 2