Yazhou Yang, Marco Loog (2022), To Actively Initialize Active Learning, In Pattern Recognition Volume 131.

Wouter M. Kouw, Marco Loog (2021), A Review of Domain Adaptation without Target Labels, In IEEE Transactions on Pattern Analysis and Machine Intelligence p.766-785.

A. Mey, M. Loog (2021), Consistency and Finite Sample Behavior of Binary Class Probability Estimation, In 35th aaai conference on artificial intelligence 33rd conference on innovative applications of artificial intelligence the eleventh symposium on educational advances in artificial intelligence p.8967-8974, Association for the Advancement of Artificial Intelligence (AAAI).

Soufiane M.C. Mourragui, Marco Loog, Daniel J. Vis, Kat Moore, Anna G. Manjon, Mark A. van de Wiel, Marcel J.T. Reinders, Lodewyk F.A. Wessels (2021), Predicting patient response with models trained on cell lines and patient-derived xenografts by nonlinear transfer learning, In Proceedings of the National Academy of Sciences of the United States of America Volume 118.

Burak Yildiz, Hayley Hung, Jesse H. Krijthe, Cynthia C.S. Liem, Marco Loog, Gosia Migut, Frans A. Oliehoek, Annibale Panichella, Przemysław Pawełczak, Stjepan Picek, Mathijs de Weerdt, Jan van Gemert (2021), ReproducedPapers.org: Openly Teaching and Structuring Machine Learning Reproducibility, Bertrand Kerautret, Miguel Colom, Adrien Krähenbühl, Daniel Lopresti, Pascal Monasse, Hugues Talbot (Eds.), In Reproducible Research in Pattern Recognition - 3rd International Workshop, RRPR 2021, Revised Selected Papers p.3-11, Springer.

Silvia L. Pintea, Nergis Tömen, Stanley F. Goes, Marco Loog, Jan van Gemert (2021), Resolution learning in deep convolutional networks using scale-space theory, In IEEE Transactions on Image Processing Volume 30 p.8342 - 8353.

Wouter Kouw, Marco Loog (2021), Robust domain-adaptive discriminant analysis, In Pattern Recognition Letters Volume 148 p.107-113.

Silvia L. Pintea, Siddharth Sharma, Femke C. Vossepoel, Jan C. van Gemert, Marco Loog, Dirk J. Verschuur (2021), Seismic inversion with deep learning: A proposal for litho-type classification, In Computational Geosciences Volume 26 (2022) p.351-364.

Wouter M. Kouw, Marco Loog (2021), Target Robust Discriminant Analysis, Andrea Torsello, Luca Rossi, Marcello Pelillo, Battista Biggio, Antonio Robles-Kelly (Eds.), In Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshops, S+SSPR 2020, Proceedings p.3-13, Springer.

Alexander Mey, Tom Julian Viering, Marco Loog (2020), A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization, Michael R. Berthold, Ad Feelders, Georg Krempl (Eds.), In Advances in Intelligent Data Analysis XVIII - 18th International Symposium on Intelligent Data Analysis, IDA 2020, Proceedings Volume 12080 p.326-338, Springer Open.