Scholar
Stephan Bialonski
Google Scholar ID: LrWtkdgAAAAJ
Aachen University of Applied Science
Citations & Impact
Citations
788
H-index
15
i10-index
23
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Papers Published: Research on overcoming data scarcity in sleep medical settings was accepted at ICLR 2024 and presented both orally and as a poster. Awards: The team won 2nd place in the international competition GermEval 2024, which focused on detecting sexism in online news media.
Research Experience
- Work Experience: No specific personal experience mentioned. Research Projects: Research on overcoming data scarcity in sleep medical settings; research on detecting sexism in online news media.
Background
- Research Interests: Machine learning and data science, with a particular focus on deep representation learning for sequentially ordered data such as biomedical time series and natural text. Professional Field: Developing cutting-edge methods for medical diagnostics and natural language technologies. Introduction: Dedicated to advancing the fields of machine learning and data science, while educating and mentoring the future generation of machine learning experts.
Co-authors