Author

S. Džeroski

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#machine learning Preprint Oct 2026

Not All Unlabeled Data Are Equal: Unlabeled Data Selection for Semi-Supervised QSAR Modeling with Large Chemical Repositories

Semi-supervised learning (SSL) is particularly attractive in domains where labels are expensive to obtain, while unlabeled examples are readily available. Quantitative Structure-Activity Relationship (QSAR) modeling, which predicts molecular biological activity from chemical structure, is one such domain. Obtaining act...

Oliver Majer, S. Džeroski, J. Levatić · 0 citations

Open access Oct 2026

Discovering Latent Scientific Concepts through Discrete Representation Learning

Scientific imaging is undergoing a fundamental transformation. Advances in multiplex immunofluorescence, computational pathology, and electron microscopy now enable observation of biological and physical systems at unprecedented spatial resolution. Rather than simply classifying known objects, these data offer the oppo...

Marjan Stoimchev, Monu Verma, A. Filliol et al. · bioRxiv · 0 citations

Open access Aug 2026

A Domain-Targeted Question-Answering Dataset for Food and Nutrition Applications

Evaluation of four general-purpose LLMs on FoodBench tasks shows limited performance across nutrient estimation, traffic-light classification, and food interoperability, even with few-shot prompting, highlighting the need for domain-specialized LLMs fine-tuned on food data.

T. Eftimov, Ana Gjorgjevikj, M. Martinc et al. · Scientific Data · 1 citation