most citedBenchmarking ResNet for Short-Term Hypoglycemia Classification with DiaData

7 citations · 20 across the 12 of their papers we have counts for

collaborators

12 papers

cs.HC2026

Evaluating Different Modalities of Behavioral Approach Tests for Spider Phobia in Virtual Reality

Florian Grensing, Vanessa Schmuecker, Anne Hildebrand +2

Behavioral approach tests are a common means of assessing specific phobias. In these tests, participants move towards an anxiety-inducing stimulus as close as they are willing to,…

cs.LG2026

Impact of Age Specialized Models for Hypoglycemia Classification

Beyza Cinar, Maria Maleshkova

Disease progression varies with age and is influenced by underlying genetic, biochemical, and hormonal etiologies, suggesting the need for tailored monitoring, care, and medication…

q-bio.QM2026

Towards Improved Short-term Hypoglycemia Prediction and Diabetes Management based on Refined Heart Rate Data

Vaibhav Gupta, Florian Grensing, Beyza Cinar +2

Hypoglycemia is a severe condition of decreased blood glucose, specifically below 70 mg/dL (3.9 mmol/L). This condition can often be asymptomatic and challenging to predict in indi…

cs.LG2026★ 6 cited

A Review on Machine Learning Approaches for the Prediction of Glucose Levels and Hypogylcemia

Beyza Cinar, Louisa van den Boom, Maria Maleshkova

Type 1 Diabetes (T1D) is an autoimmune disease leading to insulin insufficiency. Thus, patients require lifelong insulin therapy, which has a side effect of hypoglycemia. Hypoglyce…

cs.LG2026★ 3 cited

A Proposed Paradigm for Imputing Missing Multi-Sensor Data in the Healthcare Domain

Vaibhav Gupta, Florian Grensing, Beyza Cinar +1

Chronic diseases such as diabetes pose significant management challenges, particularly due to the risk of complications like hypoglycemia, which require timely detection and interv…

eess.SP2025★ 7 cited

Benchmarking ResNet for Short-Term Hypoglycemia Classification with DiaData

Beyza Cinar, Maria Maleshkova

Individualized therapy is driven forward by medical data analysis, which provides insight into the patient's context. In particular, for Type 1 Diabetes (T1D), which is an autoimmu…