Katharina Dost

Jožef Stefan Institute — SI

Computer Science · Physical Sciences

4h-index72citations32works2.52yr avg
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Research Topics

Computational Drug Discovery Methods(6), Adversarial Robustness in Machine Learning(6), Machine Learning and Data Classification(6), Metabolomics and Mass Spectrometry Studies(4), Anomaly Detection Techniques and Applications(4)

Publications32 total

Self-Purification: Enhancing Adversarial Defense by Leveraging Local Relative Robustness
Expert Systems with Applications·2026
Freshwater modeling in Aotearoa New Zealand: Current practice and future directions
Environmental Modelling & Software·2025Open Access
Assessing the risk of discriminatory bias in classification datasets
Machine Learning·2025· 1 citedOpen Access
Assessing the Risk of Discriminatory Bias in Classification Datasets
2025Open Access
How does a GPT perform in Forecasting Severe Respiratory Disease Hospitalizations?
2025Open Access
Don't Swim in Data: Real-Time Microbial Forecasting for New Zealand Recreational Waters
SSRN Electronic Journal·2025· 2 citedOpen Access
Resource-Constrained Binary Image Classification
Lecture notes in computer science·2025
Freshwater Quality Modeling in Aotearoa New Zealand: Current Practice and Future Directions
SSRN Electronic Journal·2025Open Access
Selecting Unlabeled Data for Tabular Self-Supervised Learning
Lecture notes in computer science·2025
Forecasting severe respiratory disease hospitalizations using machine learning algorithms
BMC Medical Informatics and Decision Making·2024· 10 citedOpen Access
Advancements in biotransformation pathway prediction: enhancements, datasets, and novel functionalities in enviPath
Journal of Cheminformatics·2024· 19 citedOpen Access
Regional bias in monolingual English language models
Machine Learning·2024· 1 citedOpen Access
AdductHunter: identifying protein-metal complex adducts in mass spectra
Journal of Cheminformatics·2024· 2 citedOpen Access
Regional Bias in Monolingual English Language Models
Research Square (Research Square)·2024Open Access
AdductHunter: Identifying Protein-Metal Complex Adducts in Mass Spectra
2023Open Access
Advancements in Biotransformation Pathway Prediction: Enhancements, Datasets, and Novel Functionalities in enviPath
2023Open Access
Defining Applicability Domain in Biodegradation Pathway Prediction
Research Square (Research Square)·2023· 2 citedOpen Access
Poison is Not Traceless: Fully-Agnostic Detection of Poisoning Attacks
arXiv (Cornell University)·2023Open Access
AdductHunter: Identifying Protein-Metal Complex Adducts in Mass Spectra
2023Open Access
Combatting over-specialization bias in growing chemical databases
Journal of Cheminformatics·2023· 4 citedOpen Access
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Frequent Co-authors

Jörg Wicker(29), Gillian Dobbie(7), Liam Brydon(6), Zac Pullar-Strecker(6), Patricia Riddle(6), Katerina Taškova(5), Xinglong Chang(5), Jasmin Hafner(4), Kunyang Zhang(4), Tim Lorsbach(3), Sebastian Schmidt(3), Ioannis Ziogas(3), Theo S. Sarris(3), Derek Long(3), Liam Eade(3), Matthew P. Sullivan(3), Samuel M. Meier(3), David C. Goldstone(3), Christian G. Hartinger(3), Sašo Džeroski(3)