Elena Daskalaki

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2023
Evaluating Effects of Resting-State Electroencephalography Data Pre-Processing on a Machine Learning Task for Parkinson's Disease.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Evaluating methods of oversampling and averaging resting-state electroencephalography data in classifying Parkinson's disease.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Jointly Predicting Postprandial Hypoglycemia and Hyperglycemia Using Continuous Glucose Monitoring Data in Type 1 Diabetes.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Comparative Assessment of Machine Learning Strategies for Electrocardiogram Denoising.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022
The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review.
BMC Medical Informatics Decis. Mak., 2022

Video Moment Retrieval from Text Queries via Single Frame Annotation.
CoRR, 2022

Video Moment Retrieval from Text Queries via Single Frame Annotation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

A Reinforcement Learning Based System for Blood Glucose Control without Carbohydrate Estimation in Type 1 Diabetes: In Silico Validation.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

CILex: An Investigation of Context Information for Lexical Substitution Methods.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Non-linear Continuous Action Spaces for Reinforcement Learning in Type 1 Diabetes.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

2021
The Use of Event-Related Potentials and Machine Learning to Improve Diagnostic Testing and Prediction of Disease Progression in Parkinson's Disease.
Proceedings of the Nurses and Midwives in the Digital Age - Selected Papers, Posters and Panels from the 15th International Congress in Nursing Informatics, Virtual Event, 23 August, 2021

Comparison of Word and Character Level Information for Medical Term Identification Using Convolutional Neural Networks and Transformers.
Proceedings of the Nurses and Midwives in the Digital Age - Selected Papers, Posters and Panels from the 15th International Congress in Nursing Informatics, Virtual Event, 23 August, 2021

A Significance Assessment of Diabetes Diagnostic Biomarkers Using Machine Learning.
Proceedings of the Nurses and Midwives in the Digital Age - Selected Papers, Posters and Panels from the 15th International Congress in Nursing Informatics, Virtual Event, 23 August, 2021

Personalised Short-Term Glucose Prediction via Recurrent Self-Attention Network.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

2020
SandiDoc at CLEF 2020 - Consumer Health Search : AdHoc IR Task.
Proceedings of the Working Notes of CLEF 2020, 2020

2016
Human physical condition RF sensing at THz range.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2014
Multi-model data fusion to improve an early warning system for hypo-/hyperglycemic events.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
An Actor-Critic based controller for glucose regulation in type 1 diabetes.
Comput. Methods Programs Biomed., 2013

Personalized tuning of a reinforcement learning control algorithm for glucose regulation.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013


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