Katharina Dost

24 papers A* 1B 2Journal 14Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Freshwater modeling in Aotearoa New Zealand: Current practice and future directions.
Environ. Model. Softw.
Katharina Dost, Kohji Muraoka, Anne-Gaelle E. Ausseil, Rubianca Benavidez, Brendon Blue, Nic Conland, Chris Daughney, Annette F. Semadeni-Davies, Linh Hoang, Anna Hooper, Theodore Alfred Kpodonu, Tapuwa Marapara, Richard McDowell, Trung Nguyen, Dang Anh Nguyet, Ned Norton, Deniz Özkundakci, Lisa Pearson, James Rolinson, Ra Smith, Tom Stephens, Reina Tamepo, Ken Taylor, Vincent van Uitregt, Bethanna Jackson, Theo Sarris, Alexander Elliott, Jörg Wicker
2026 J jnl
Quantifying the Impact of Modules and Their Interactions in the PSO-X Framework.
CoRR
Christian L. Camacho Villalón, Ana Nikolikj, Katharina Dost, Eva Tuba, Saso Dzeroski, Tome Eftimov
2026 J jnl
Self-purification: Enhancing adversarial defense by leveraging local relative robustness.
Expert Syst. Appl.
Rui Zhang, Jörg Wicker, Katharina Dost, Qinli Yang, Zeyu Chen, Junming Shao
2025 J jnl
Assessing the risk of discriminatory bias in classification datasets.
Mach. Learn.
Kejun Dai, Jonathan Kim, Saso Dzeroski, Jörg Wicker, Gillian Dobbie, Katharina Dost
2025 B conf
Selecting Unlabeled Data for Tabular Self-Supervised Learning.
DS
Sintija Stevanoska, Katharina Dost, Christian L. Camacho Villalón, Saso Dzeroski
2025 — conf
Understanding Rumen Methanogen Interactions in Sheep Using Machine Learning.
ECML/PKDD (8)
Katharina Dost, Steffen Albrecht, Paul H. Maclean, Jörg Wicker, Sandeep K. Gupta
2024 J jnl
AdductHunter: identifying protein-metal complex adducts in mass spectra.
J. Cheminformatics
Derek Long, Liam Eade, Matthew P. Sullivan, Katharina Dost, Samuel M. Meier-Menches, David C. Goldstone, Christian G. Hartinger, Jörg S. Wicker, Katerina Taskova
2024 J jnl
Advancements in biotransformation pathway prediction: enhancements, datasets, and novel functionalities in enviPath.
J. Cheminformatics
Jasmin Hafner, Tim Lorsbach, Sebastian Schmidt, Liam Brydon, Katharina Dost, Kunyang Zhang, Kathrin Fenner, Jörg Wicker
2024 J jnl
Forecasting severe respiratory disease hospitalizations using machine learning algorithms.
BMC Medical Informatics Decis. Mak.
Steffen Albrecht, David Broderick, Katharina Dost, Isabella Cheung, Nhung Nghiem, Milton Wu, Johnny Zhu, Nooriyan Poonawala-Lohani, Sarah Jamison, Damayanthi Rasanathan, Sue Huang, Adrian Trenholme, Alicia Stanley, Shirley Lawrence, Samantha Marsh, Lorraine Castelino, Janine Paynter, Nikki Turner, Peter McIntyre, Patricia Riddle, Cameron Grant, Gillian Dobbie, Jörg Simon Wicker
2024 J jnl
Hitting the target: stopping active learning at the cost-based optimum.
Mach. Learn.
Zac Pullar-Strecker, Katharina Dost, Eibe Frank, Jörg Wicker
2024 J jnl
Regional bias in monolingual English language models.
Mach. Learn.
Jiachen Lyu, Katharina Dost, Yun Sing Koh, Jörg Wicker
2024 — conf
Resource-Constrained Binary Image Classification.
DS (2)
Sean Park, Jörg Wicker, Katharina Dost
2023 — conf
BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and Decidability.
PAKDD (1)
Xinglong Chang, Katharina Dost, Kaiqi Zhao, Ambra Demontis, Fabio Roli, Gillian Dobbie, Jörg Wicker
2023 J jnl
Combatting over-specialization bias in growing chemical databases.
J. Cheminformatics
Katharina Dost, Zac Pullar-Strecker, Liam Brydon, Kunyang Zhang, Jasmin Hafner, Patricia J. Riddle, Jörg S. Wicker
2023 — conf
Interpretability Meets Generalizability: A Hybrid Machine Learning System to Identify Nonlinear Granger Causality in Global Stock Indices.
PAKDD (2)
Yixiao Lu, Yokiu Lee, Haoran Feng, Johnathan Chi-Ho Leung, Alvin Cheung, Katharina Dost, Katerina Taskova, Thomas Lacombe
2023 — conf
Memento: Facilitating Effortless, Efficient, and Reliable ML Experiments.
ECML/PKDD (7)
Zac Pullar-Strecker, Xinglong Chang, Liam Brydon, Ioannis Ziogas, Katharina Dost, Jörg Wicker
2023 J jnl
Memento: Facilitating Effortless, Efficient, and Reliable ML Experiments.
CoRR
Zac Pullar-Strecker, Xinglong Chang, Liam Brydon, Ioannis Ziogas, Katharina Dost, Jörg Wicker
2023 J jnl
Poison is Not Traceless: Fully-Agnostic Detection of Poisoning Attacks.
CoRR
Xinglong Chang, Katharina Dost, Gillian Dobbie, Jörg Wicker
2023 — conf
Targeted Attacks on Time Series Forecasting.
PAKDD (4)
Zeyu Chen, Katharina Dost, Xuan Zhu, Xinglong Chang, Gillian Dobbie, Jörg Wicker
2022 — conf
Divide and Imitate: Multi-cluster Identification and Mitigation of Selection Bias.
PAKDD (2)
Katharina Dost, Hamish Duncanson, Ioannis Ziogas, Patricia Riddle, Jörg Wicker
2021 J jnl
Hitting the Target: Stopping Active Learning at the Cost-Based Optimum.
CoRR
Zac Pullar-Strecker, Katharina Dost, Eibe Frank, Jörg Wicker
2021 J jnl
Intriguing Usage of Applicability Domain: Lessons from Cheminformatics Applied to Adversarial Learning.
CoRR
Luke Chang, Katharina Dost, Kaiqi Zhao, Ambra Demontis, Fabio Roli, Gill Dobbie, Jörg Wicker
2020 B conf
The Semantic Spreadsheet.
ICECCS
Behzad Farokhi, Katharina Dost, Gerald Weber, Jing Sun, Christof Lutteroth
2020 A* conf
Your Best Guess When You Know Nothing: Identification and Mitigation of Selection Bias.
ICDM
Katharina Dost, Katerina Taskova, Patricia Riddle, Jörg Wicker