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Katharina Dost
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Journal Articles
- 2024
- [j6]Derek Long
, Liam Eade, Matthew P. Sullivan, Katharina Dost, Samuel M. Meier-Menches, David C. Goldstone, Christian G. Hartinger, Jörg S. Wicker
AdductHunter: identifying protein-metal complex adducts in mass spectra. J. Cheminformatics 16(1): 15 (2024) - [j5]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): 93 (2024) - [j4]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, Alicia Stanley, Shirley Lawrence, Samantha Marsh, Lorraine Castelino, Janine Paynter, Nikki Turner, Peter McIntyre, Patricia Riddle, Cameron Grant, Gillian Dobbie, Jörg Simon Wicker:
Forecasting severe respiratory disease hospitalizations using machine learning algorithms. BMC Medical Informatics Decis. Mak. 24(1): 293 (2024) - [j3]Zac Pullar-Strecker
Hitting the target: stopping active learning at the cost-based optimum. Mach. Learn. 113(4): 1529-1547 (2024) - [j2]Jiachen Lyu, Katharina Dost, Yun Sing Koh, Jörg Wicker
Regional bias in monolingual English language models. Mach. Learn. 113(9): 6663-6696 (2024) - 2023
- [j1]Katharina Dost
Combatting over-specialization bias in growing chemical databases. J. Cheminformatics 15(1): 53 (2023)
Conference and Workshop Papers
- 2023
- [c7]Xinglong Chang, Katharina Dost
BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and Decidability. PAKDD (1) 2023: 3-14 - [c6]Zeyu Chen, Katharina Dost
Targeted Attacks on Time Series Forecasting. PAKDD (4) 2023: 314-327 - [c5]Yixiao Lu
Interpretability Meets Generalizability: A Hybrid Machine Learning System to Identify Nonlinear Granger Causality in Global Stock Indices. PAKDD (2) 2023: 322-334 - [c4]Zac Pullar-Strecker, Xinglong Chang, Liam Brydon, Ioannis Ziogas
Memento: Facilitating Effortless, Efficient, and Reliable ML Experiments. ECML/PKDD (7) 2023: 310-314 - 2022
- [c3]Katharina Dost
Divide and Imitate: Multi-cluster Identification and Mitigation of Selection Bias. PAKDD (2) 2022: 149-160 - 2020
- [c2]Katharina Dost
Your Best Guess When You Know Nothing: Identification and Mitigation of Selection Bias. ICDM 2020: 996-1001 - [c1]Behzad Farokhi, Katharina Dost
The Semantic Spreadsheet. ICECCS 2020: 171-176
Informal and Other Publications
- 2023
- [i4]Zac Pullar-Strecker, Xinglong Chang, Liam Brydon, Ioannis Ziogas, Katharina Dost
Memento: Facilitating Effortless, Efficient, and Reliable ML Experiments. CoRR abs/2304.09175 (2023) - [i3]Xinglong Chang, Katharina Dost, Gillian Dobbie, Jörg Wicker
Poison is Not Traceless: Fully-Agnostic Detection of Poisoning Attacks. CoRR abs/2310.16224 (2023) - 2021
- [i2]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 abs/2105.00495 (2021) - [i1]Zac Pullar-Strecker, Katharina Dost, Eibe Frank, Jörg Wicker
Hitting the Target: Stopping Active Learning at the Cost-Based Optimum. CoRR abs/2110.03802 (2021)
Coauthor Index
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