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2020 – today
- 2024
[c1]Jinyang Yu
, Sami Hamdan, Leonard Sasse, Abigail Morrison, Kaustubh R. Patil:
Empirical Comparison Between Cross-Validation and Mutation-Validation in Model Selection. IDA (2) 2024: 56-67- 2023
- [i4]Sami Hamdan, Shammi More, Leonard Sasse, Vera Komeyer, Kaustubh R. Patil, Federico Raimondo:
Julearn: an easy-to-use library for leakage-free evaluation and inspection of ML models. CoRR abs/2310.12568 (2023) - [i3]Leonard Sasse, Eliana Nicolaisen-Sobesky, Juergen Dukart, Simon B. Eickhoff, Michael Götz, Sami Hamdan, Vera Komeyer, Abhijit Kulkarni, Juha Lahnakoski, Bradley C. Love, Federico Raimondo, Kaustubh R. Patil:
On Leakage in Machine Learning Pipelines. CoRR abs/2311.04179 (2023) - [i2]Jinyang Yu, Sami Hamdan, Leonard Sasse, Abigail Morrison, Kaustubh R. Patil:
Empirical Comparison between Cross-Validation and Mutation-Validation in Model Selection. CoRR abs/2311.14079 (2023) - 2022
- [i1]Sami Hamdan, Bradley C. Love, Georg G. von Polier, Susanne Weis, Holger Schwender, Simon B. Eickhoff, Kaustubh R. Patil:
Confound-leakage: Confound Removal in Machine Learning Leads to Leakage. CoRR abs/2210.09232 (2022)
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