Generative Subspace Adversarial Active Learning for Outlier Detection in Multiple Views of High-dimensional Data. - Jose Cribeiro-Ramallo; Vadim Arzamasov; Federico Matteucci; Denis Wambold; Klemens Böhm (CoRR, 2024)

Generalizability of experimental studies. - Federico Matteucci; Vadim Arzamasov; Jose Cribeiro-Ramallo; Marco Heyden; Konstantin Ntounas; Klemens Böhm (CoRR, 2024)

Efficient Generation of Hidden Outliers for Improved Outlier Detection. - Jose Cribeiro-Ramallo; Vadim Arzamasov; Klemens Böhm (ACM Trans. Knowl. Discov. Data, 2024)

Adversarial Subspace Generation for Outlier Detection in High-Dimensional Data. - Jose Cribeiro-Ramallo; Federico Matteucci; Paul Enciu; Alexander Jenke; Vadim Arzamasov; Thorsten Strufe; Klemens Böhm (Trans. Mach. Learn. Res., 2025)