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Katharina Dost
Katharina Dost
Postdoctoral Fellow, School of Computer Science, University of Auckland
Bestätigte E-Mail-Adresse bei aucklanduni.ac.nz - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Hitting the target: Stopping active learning at the cost-based optimum
Z Pullar-Strecker, K Dost, E Frank, J Wicker
Machine Learning, 1-19, 2022
92022
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
52020
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
42023
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
32022
Defining Applicability Domain in Biodegradation Pathway Prediction
K Dost, JYC Tam, T Lorsbach, S Schmidt, J Wicker
12023
The Semantic Spreadsheet
B Farokhi, K Dost, G Weber, J Sun, C Lutteroth
2020 25th International Conference on Engineering of Complex Computer …, 2020
12020
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), 1-12, 2024
2024
Regional Bias in Monolingual English Language Models
J Lyu, K Dost, YS Koh, J Wicker
2024
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, ...
2023
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
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
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
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
Selection Bias Identification and Mitigation With No Ground Truth Information
K Dost
PhD Thesis-University of Auckland, 2022
2022
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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