On Leakage in Machine Learning Pipelines. - 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 (CoRR, 2023)

Overview of leakage scenarios in supervised machine learning. - 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 (J. Big Data, 2025)