5 papers
TabBench-Bio: A Living Benchmark for Machine Learning on High-Dimensional Biomedical Tables
Jules Kreuer, Sofiane Ouaari, Julia Hellmig +2
Biomedical tables often combine thousands of measured variables with only tens or hundreds of labelled samples, a regime that is poorly represented in general-purpose tabular bench…
Assessing VLM Reliability for Medical Image Quality Evaluation Under Corruption and Bias
Sofiane Ouaari, Kevin Vorwalder, Nico Pfeifer
Vision-Language Models (VLMs) are increasingly applied in medical tasks such as pathology description, report generation, and visual question answering. Medical Image Quality Asses…
How Private Are DNA Embeddings? Inverting Foundation Model Representations of Genomic Sequences
Sofiane Ouaari, Jules Kreuer, Nico Pfeifer
DNA foundation models have become transformative tools in bioinformatics and healthcare applications. Trained on vast genomic datasets, these models can be used to generate sequenc…
Robust Representation Learning for Privacy-Preserving Machine Learning: A Multi-Objective Autoencoder Approach
Sofiane Ouaari, Ali Burak Ünal, Mete Akgün +1
Several domains increasingly rely on machine learning in their applications. The resulting heavy dependence on data has led to the emergence of various laws and regulations around…
Multimodal Feature Extraction for Memes Sentiment Classification
Sofiane Ouaari, Tsegaye Misikir Tashu, Tomas Horvath
In this study, we propose feature extraction for multimodal meme classification using Deep Learning approaches. A meme is usually a photo or video with text shared by the young gen…