4 citations · 11 across the 12 of their papers we have counts for
6 papers · 1 filter
Representation-Based Data Quality Audits for Audio
Alvaro Gonzalez-Jimenez, Fabian Gröger, Linda Wermelinger +4
Data quality issues such as off-topic samples, near duplicates, and label errors often limit the performance of audio-based systems. This paper addresses these issues by adapting S…
Clinical Uncertainty Impacts Machine Learning Evaluations
Simone Lionetti, Fabian Gröger, Philippe Gottfrois +4
Clinical dataset labels are rarely certain as annotators disagree and confidence is not uniform across cases. Typical aggregation procedures, such as majority voting, obscure this…
With Limited Data for Multimodal Alignment, Let the STRUCTURE Guide You
Fabian Gröger, Shuo Wen, Huyen Le +1
Multimodal models have demonstrated powerful capabilities in complex tasks requiring multimodal alignment, including zero-shot classification and cross-modal retrieval. However, ex…
Is Hyperbolic Space All You Need for Medical Anomaly Detection?
Alvaro Gonzalez-Jimenez, Simone Lionetti, Ludovic Amruthalingam +4
Medical anomaly detection has emerged as a promising solution to challenges in data availability and labeling constraints. Traditional methods extract features from different layer…
CleanPatrick: A Benchmark for Image Data Cleaning
Fabian Gröger, Simone Lionetti, Philippe Gottfrois +12
Robust machine learning depends on clean data, yet current image data cleaning benchmarks rely on synthetic noise or narrow human studies, limiting comparison and real-world releva…
Evaluation of Deep Audio Representations for Hearables
Fabian Gröger, Pascal Baumann, Ludovic Amruthalingam +3
Effectively steering hearable devices requires understanding the acoustic environment around the user. In the computational analysis of sound scenes, foundation models have emerged…