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Katharina Dost
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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
122024
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
92020
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
52023
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
52023
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
42022
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
22024
Forecasting severe respiratory disease hospitalizations using machine learning algorithms
S Albrecht, D Broderick, K Dost, I Cheung, N Nghiem, M Wu, J Zhu, ...
BMC medical informatics and decision making 24 (1), 293, 2024
12024
Regional bias in monolingual English language models
J Lyu, K Dost, YS Koh, J Wicker
Machine Learning 113 (9), 6663-6696, 2024
12024
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
12024
Defining Applicability Domain in Biodegradation Pathway Prediction
K Dost, JYC Tam, T Lorsbach, S Schmidt, J Wicker
12023
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
12023
Selection Bias Identification and Mitigation With No Ground Truth Information
K Dost
PhD Thesis-University of Auckland, 2022
12022
The Semantic Spreadsheet
B Farokhi, K Dost, G Weber, J Sun, C Lutteroth
2020 25th International Conference on Engineering of Complex Computer …, 2020
12020
Resource-Constrained Binary Image Classification
S Park, J Wicker, K Dost
International Conference on Discovery Science, 215-230, 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
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