Beyza Cinar

13 papers B 1C 1Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Proposed Paradigm for Imputing Missing Multi-Sensor Data in the Healthcare Domain.
CoRR
Vaibhav Gupta, Florian Grensing, Beyza Cinar, Maria Maleshkova
2026 J jnl
A Review on Machine Learning Approaches for the Prediction of Glucose Levels and Hypogylcemia.
CoRR
Beyza Cinar, Louisa van den Boom, Maria Maleshkova
2025 J jnl
Benchmarking Hypoglycemia Classification Using Quality-Enhanced DiaData.
IEEE J. Biomed. Health Informatics
Beyza Cinar, Maria Maleshkova
2025 J jnl
Benchmarking ResNet for Short-Term Hypoglycemia Classification with DiaData.
CoRR
Beyza Cinar, Maria Maleshkova
2025 J jnl
Deep Learning-Based Hypoglycemia Classification Across Multiple Prediction Horizons.
CoRR
Beyza Cinar, Jennifer I. Daniel Onwuchekwa, Maria Maleshkova
2025 C conf
Exploring Demographic Importance for Hypoglycemia Classification Leveraging Diadata.
BIBE
Beyza Cinar, Maria Maleshkova
2025 J jnl
Imputing missing multi-sensor data in the healthcare domain: A systematic review.
Image Vis. Comput.
Vaibhav Gupta, Florian Grensing, Beyza Cinar, Maria Maleshkova
2025 J jnl
Presenting DiaData for Research on Type 1 Diabetes.
CoRR
Beyza Cinar, Maria Maleshkova
2025 J jnl
Stress Detection from Multimodal Wearable Sensor Data.
CoRR
Paul Schreiber, Beyza Cinar, Lennart Mackert, Maria Maleshkova
2025 — conf
VitaStress - Multimodal Vital Signs for Stress Detection.
HCI (64)
Paul Schreiber, Beyza Cinar, Lennart Mackert, Maria Maleshkova
2025 B conf
VitaStress: A Multimodal Dataset for Stress Detection.
ICMI
Paul Schreiber, Simon Burbach, Beyza Cinar, Lennart Mackert, Maria Maleshkova
2024 — conf
Time to Hypoglycemia Prediction for Personalized Diabetes Care and Management.
EMBC
Jennifer I. Daniel Onwuchekwa, Beyza Cinar, Louisa van den Boom, Maria Maleshkova
2024 — conf
Transfer Learning in Hypoglycemia Classification.
AIiH (1)
Beyza Cinar, Florian Grensing, Louisa van den Boom, Maria Maleshkova