Vasileios Skaramagkas

Orcid: 0000-0002-3279-8016

According to our database1, Vasileios Skaramagkas authored at least 15 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Detecting Minor Symptoms of Parkinson's Disease in the Wild Using Bi-LSTM with Attention Mechanism.
Sensors, September, 2023

Evaluating Gait Impairment in Parkinson's Disease from Instrumented Insole and IMU Sensor Data.
Sensors, 2023

Using the recurrence plots as indicators for the recognition of Parkinson's disease through phonemes assessment.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Multi-channel CNN-based emotion recognition using recurrence plot representations of speech.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Can Gait Features Help in Differentiating Parkinson's Disease Medication States and Severity Levels? A Machine Learning Approach.
Sensors, 2022

Smart Insole: A Gait Analysis Monitoring Platform Targeting Parkinson Disease Patients Based on Insoles.
CoRR, 2022

COLET: A dataset for COgnitive workLoad estimation based on eye-tracking.
Comput. Methods Programs Biomed., 2022

AI Methods for Personalized Suggestions on Smart Glasses Based on Human Activity Recognition.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2021
The Smart-Insole Dataset: Gait Analysis Using Wearable Sensors with a Focus on Elderly and Parkinson's Patients.
Sensors, 2021

Gait and balance patterns related to Free-Walking and TUG tests in Parkinson's Disease based on plantar pressure data.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

A machine learning approach to predict emotional arousal and valence from gaze extracted features.
Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021

Cognitive workload level estimation based on eye tracking: A machine learning approach.
Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021

Exploring Artificial Intelligence methods for recognizing human activities in real time by exploiting inertial sensors.
Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021

2020
Towards Differential Diagnosis of Essential and Parkinson's Tremor via Machine Learning.
Proceedings of the 28th Mediterranean Conference on Control and Automation, 2020

An Experimental Investigation of Essential Hand Tremor Suppression via a Soft Exoskeletal Glove.
Proceedings of the 18th European Control Conference, 2020


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