Your Best Guess When You Know Nothing: Identification and Mitigation of Selection Bias. - Katharina Dost; Katerina Taskova; Patricia Riddle; Jörg Wicker (ICDM, 2020)

The Semantic Spreadsheet. - Behzad Farokhi; Katharina Dost; Gerald Weber; Jing Sun 002; Christof Lutteroth (ICECCS, 2020)

Intriguing Usage of Applicability Domain: Lessons from Cheminformatics Applied to Adversarial Learning. - Luke Chang; Katharina Dost; Kaiqi Zhao 001; Ambra Demontis; Fabio Roli; Gill Dobbie; Jörg Wicker (CoRR, 2021)

Divide and Imitate: Multi-cluster Identification and Mitigation of Selection Bias. - Katharina Dost; Hamish Duncanson; Ioannis Ziogas; Patricia Riddle; Jörg Wicker (PAKDD (2), 2022)

BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and Decidability. - Xinglong Chang; Katharina Dost; Kaiqi Zhao 001; Ambra Demontis; Fabio Roli; Gillian Dobbie; Jörg Wicker (PAKDD (1), 2023)

Targeted Attacks on Time Series Forecasting. - Zeyu Chen; Katharina Dost; Xuan Zhu; Xinglong Chang; Gillian Dobbie; Jörg Wicker (PAKDD (4), 2023)

Interpretability Meets Generalizability: A Hybrid Machine Learning System to Identify Nonlinear Granger Causality in Global Stock Indices. - Yixiao Lu; Yokiu Lee; Haoran Feng; Johnathan Chi-Ho Leung; Alvin Cheung; Katharina Dost; Katerina Taskova; Thomas Lacombe (PAKDD (2), 2023)

Memento: Facilitating Effortless, Efficient, and Reliable ML Experiments. - Zac Pullar-Strecker; Xinglong Chang; Liam Brydon; Ioannis Ziogas; Katharina Dost; Jörg Wicker (ECML/PKDD (7), 2023)

Poison is Not Traceless: Fully-Agnostic Detection of Poisoning Attacks. - Xinglong Chang; Katharina Dost; Gillian Dobbie; Jörg Wicker (CoRR, 2023)

Combatting over-specialization bias in growing chemical databases. - Katharina Dost; Zac Pullar-Strecker; Liam Brydon; Kunyang Zhang; Jasmin Hafner; Patricia J. Riddle; Jörg S. Wicker (J. Cheminformatics, 2023)

Resource-Constrained Binary Image Classification. - Sean Park; Jörg Wicker; Katharina Dost (DS (2), 2024)

Hitting the target: stopping active learning at the cost-based optimum. - Zac Pullar-Strecker; Katharina Dost; Eibe Frank; Jörg Wicker (Mach. Learn., 2024)

Regional bias in monolingual English language models. - Jiachen Lyu; Katharina Dost; Yun Sing Koh; Jörg Wicker (Mach. Learn., 2024)

Advancements in biotransformation pathway prediction: enhancements, datasets, and novel functionalities in enviPath. - Jasmin Hafner; Tim Lorsbach; Sebastian Schmidt; Liam Brydon; Katharina Dost; Kunyang Zhang; Kathrin Fenner; Jörg Wicker (J. Cheminformatics, 2024)

AdductHunter: identifying protein-metal complex adducts in mass spectra. - Derek Long; Liam Eade; Matthew P. Sullivan; Katharina Dost; Samuel M. Meier-Menches; David C. Goldstone; Christian G. Hartinger; Jörg S. Wicker; Katerina Taskova (J. Cheminformatics, 2024)

Forecasting severe respiratory disease hospitalizations using machine learning algorithms. - 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; et al. (BMC Medical Informatics Decis. Mak., 2024)

Assessing the risk of discriminatory bias in classification datasets. - Kejun Dai; Jonathan Kim; Saso Dzeroski; Jörg Wicker; Gillian Dobbie; Katharina Dost (Mach. Learn., 2025)