Author

Viktorija Vodilovska

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:machine learning (classical)· 2 Approach:benchmark study· 1

Frequent Co-Authors

Ilinka IvanoskaiD· 2 shared Jana Hristova· 1 shared Martin Stamenov· 1 shared Mila Gjurovska· 1 shared Viktor Najdovski· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 6 mutual co-author links

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2 shared papersBioinformatics

Ilinka IvanoskaORCID

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2 papers

Recent·Most cited

When Does Active Learning Improve ADMET Prediction? A Multi-Endpoint Benchmark

Viktor Najdovski, Jana Hristova, Viktorija Vodilovska, Ilinka Ivanoska

This paper benchmarks active learning strategies for ADMET prediction, finding benefits vary by endpoint and strategy, with Deep Ensembles showing better predictive performance than MC Dropout.

bioRxiv · Oct 30, 2026 · PreprintBioinformatics

Task-Dependent Performance of GNNs and Pretrained Models in ADMET Prediction

Martin Stamenov, Mila Gjurovska, Viktorija Vodilovska, Ilinka Ivanoska

The paper benchmarks GNNs, pretrained models, and fingerprints for ADMET prediction under fair evaluation, finding no single model dominates and highlighting the importance of endpoint-specific selection and leakage-controlled testing.

bioRxiv · Oct 30, 2026 · PreprintBioinformatics