| Hitting the target: stopping active learning at the cost-based optimum Z Pullar-Strecker, K Dost, E Frank, J Wicker Machine Learning 113 (4), 1529-1547, 2024 | 12 | 2024 |
| Your best guess when you know nothing: Identification and mitigation of selection bias K Dost, K Taskova, P Riddle, J Wicker 2020 IEEE International Conference on Data Mining (ICDM), 996-1001, 2020 | 7 | 2020 |
| Combatting over-specialization bias in growing chemical databases K Dost, Z Pullar-Strecker, L Brydon, K Zhang, J Hafner, PJ Riddle, ... Journal of Cheminformatics 15 (1), 53, 2023 | 4 | 2023 |
| Divide and imitate: Multi-cluster identification and mitigation of selection bias K Dost, H Duncanson, I Ziogas, P Riddle, J Wicker Pacific-Asia Conference on Knowledge Discovery and Data Mining, 149-160, 2022 | 3 | 2022 |
| AdductHunter: identifying protein-metal complex adducts in mass spectra D Long, L Eade, MP Sullivan, K Dost, SM Meier-Menches, DC Goldstone, ... Journal of Cheminformatics 16 (1), 15, 2024 | 1 | 2024 |
| Defining Applicability Domain in Biodegradation Pathway Prediction K Dost, JYC Tam, T Lorsbach, S Schmidt, J Wicker | 1 | 2023 |
| Memento: Facilitating Effortless, Efficient, and Reliable ML Experiments Z Pullar-Strecker, X Chang, L Brydon, I Ziogas, K Dost, J Wicker Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 1 | 2023 |
| Targeted Attacks on Time Series Forecasting Z Chen, K Dost, X Zhu, X Chang, G Dobbie, J Wicker Pacific-Asia Conference on Knowledge Discovery and Data Mining, 314-327, 2023 | 1 | 2023 |
| Selection Bias Identification and Mitigation With No Ground Truth Information K Dost PhD Thesis-University of Auckland, 2022 | 1 | 2022 |
| The Semantic Spreadsheet B Farokhi, K Dost, G Weber, J Sun, C Lutteroth 2020 25th International Conference on Engineering of Complex Computer …, 2020 | 1 | 2020 |
| Advancements in biotransformation pathway prediction: enhancements, datasets, and novel functionalities in enviPath J Hafner, T Lorsbach, S Schmidt, L Brydon, K Dost, K Zhang, K Fenner, ... Journal of Cheminformatics 16 (1), 93, 2024 | | 2024 |
| Regional bias in monolingual English language models J Lyu, K Dost, YS Koh, J Wicker Machine Learning, 1-34, 2024 | | 2024 |
| Poison is Not Traceless: Fully-Agnostic Detection of Poisoning Attacks X Chang, K Dost, G Dobbie, J Wicker arXiv preprint arXiv:2310.16224, 2023 | | 2023 |
| Interpretability Meets Generalizability: A Hybrid Machine Learning System to Identify Nonlinear Granger Causality in Global Stock Indices Y Lu, Y Lee, H Feng, J Leung, A Cheung, K Dost, K Taskova, T Lacombe Pacific-Asia Conference on Knowledge Discovery and Data Mining, 322-334, 2023 | | 2023 |
| BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and Decidability X Chang, K Dost, K Zhao, A Demontis, F Roli, G Dobbie, J Wicker Pacific-Asia Conference on Knowledge Discovery and Data Mining, 3-14, 2023 | | 2023 |
| Intriguing Usage of Applicability Domain: Lessons from Cheminformatics Applied to Adversarial Learning L Chang, K Dost, K Zhao, A Demontis, F Roli, G Dobbie, J Wicker arXiv preprint arXiv:2105.00495, 2021 | | 2021 |
Jörg Simon WickerSchool of Computer Science, The University of AucklandVerified email at auckland.ac.nz
