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Cem Ata Baykara

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG3
ORCID 0000-0002-3414-5297

identity via Semantic Scholar / OpenAlex

collaborators

3 papers

cs.LG2025

Accurate and Private Diagnosis of Rare Genetic Syndromes from Facial Images with Federated Deep Learning

Ali Burak Ünal, Cem Ata Baykara, Peter Krawitz +1

Machine learning has shown promise in facial dysmorphology, where characteristic facial features provide diagnostic clues for rare genetic disorders. GestaltMatcher, a leading fram…

cs.LG2025

Federated Learning for Epileptic Seizure Prediction Across Heterogeneous EEG Datasets

Cem Ata Baykara, Saurav Raj Pandey, Ali Burak Ünal +2

Developing accurate and generalizable epileptic seizure prediction models from electroencephalography (EEG) data across multiple clinical sites is hindered by patient privacy regul…

cs.LG2024

Privacy-Preserving Federated Unsupervised Domain Adaptation for Regression on Small-Scale and High-Dimensional Biological Data

Cem Ata Baykara, Ali Burak Ünal, Nico Pfeifer +1

Machine learning models often struggle with generalization in small, heterogeneous datasets due to domain shifts caused by variations in data collection and population differences.…

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