Katharina Dost

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Malicious Attacks

Active Learning Strategies

Top Venues

J. Cheminformatics

Publications

Jasmin Hafner, Tim Lorsbach, Sebastian Schmidt, Liam Brydon, Katharina Dost, Kunyang Zhang, Kathrin Fenner, Jörg Wicker
Advancements in biotransformation pathway prediction: enhancements, datasets, and novel functionalities in enviPath. J. Cheminformatics 16 (1) (2024)
Jiachen Lyu, Katharina Dost, Yun Sing Koh, Jörg Wicker
Regional bias in monolingual English language models. Mach. Learn. 113 (9) (2024)
Derek Long, Liam Eade, Matthew P. Sullivan, Katharina Dost, Samuel M. Meier-Menches, David C. Goldstone, Christian G. Hartinger, Jörg S. Wicker, Katerina Taskova
AdductHunter: identifying protein-metal complex adducts in mass spectra. J. Cheminformatics 16 (1) (2024)
Zac Pullar-Strecker, Katharina Dost, Eibe Frank, Jörg Wicker
Hitting the target: stopping active learning at the cost-based optimum. Mach. Learn. 113 (4) (2024)
Zeyu Chen, Katharina Dost, Xuan Zhu, Xinglong Chang, Gillian Dobbie, Jörg Wicker
Targeted Attacks on Time Series Forecasting. PAKDD (4) (2023)
Zac Pullar-Strecker, Xinglong Chang, Liam Brydon, Ioannis Ziogas, Katharina Dost, Jörg Wicker
Memento: Facilitating Effortless, Efficient, and Reliable ML Experiments. ECML/PKDD (7) (2023)
Xinglong Chang, Katharina Dost, Gillian Dobbie, Jörg Wicker
Poison is Not Traceless: Fully-Agnostic Detection of Poisoning Attacks. CoRR (2023)
Xinglong Chang, Katharina Dost, Kaiqi Zhao, Ambra Demontis, Fabio Roli, Gillian Dobbie, Jörg Wicker
BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and Decidability. PAKDD (1) (2023)
Yixiao Lu, Yokiu Lee, Haoran Feng, Johnathan Leung, Alvin Cheung, Katharina Dost, Katerina Taskova, Thomas Lacombe
Interpretability Meets Generalizability: A Hybrid Machine Learning System to Identify Nonlinear Granger Causality in Global Stock Indices. PAKDD (2) (2023)
Zac Pullar-Strecker, Xinglong Chang, Liam Brydon, Ioannis Ziogas, Katharina Dost, Jörg Wicker
Memento: Facilitating Effortless, Efficient, and Reliable ML Experiments. CoRR (2023)
Katharina Dost, Zac Pullar-Strecker, Liam Brydon, Kunyang Zhang, Jasmin Hafner, Patricia J. Riddle, Jörg S. Wicker
Combatting over-specialization bias in growing chemical databases. J. Cheminformatics 15 (1) (2023)
Katharina Dost, Hamish Duncanson, Ioannis Ziogas, Patricia Riddle, Jörg Wicker
Divide and Imitate: Multi-cluster Identification and Mitigation of Selection Bias. PAKDD (2) (2022)
Zac Pullar-Strecker, Katharina Dost, Eibe Frank, Jörg Wicker
Hitting the Target: Stopping Active Learning at the Cost-Based Optimum. CoRR (2021)
Luke Chang, Katharina Dost, Kaiqi Zhao, Ambra Demontis, Fabio Roli, Gill Dobbie, Jörg Wicker
Intriguing Usage of Applicability Domain: Lessons from Cheminformatics Applied to Adversarial Learning. CoRR (2021)
Katharina Dost, Katerina Taskova, Patricia Riddle, Jörg Wicker
Your Best Guess When You Know Nothing: Identification and Mitigation of Selection Bias. ICDM (2020)
Behzad Farokhi, Katharina Dost, Gerald Weber, Jing Sun, Christof Lutteroth
The Semantic Spreadsheet. ICECCS (2020)