Wouter Kouw, Marco Loog (2018), Effects of sampling skewness of the importance-weighted risk estimator on model selection, In 2018 24th International Conference on Pattern Recognition (ICPR) p.1468-1473, IEEE.

Lorenzo Bottarelli, Marco Loog (2018), Gradient descent for gaussian processes variance reduction, X. Bai, E.R. Hancock, T.K. Ho, R.C. Wilson, B. Biggio, A. Robles-Kelly (Eds.), In Structural, Syntactic, and Statistical Pattern Recognition p.160-169, Springer.

Antonelli Mensi, Manuele Bicego, Pietro Lovato, Marco Loog, David M.J. Tax (2018), Protein remote homology detection using dissimilarity-based multiple instance learning, X. Bai, E.R. Hancock, T.K. Ho, R.C. Wilson, B. Biggio, A. Robles-Kelly (Eds.), In Structural, Syntactic, and Statistical Pattern Recognition p.119-129, Springer.

Marco Loog (2018), Supervised Classification: Quite a Brief Overview, E. Camporeale, S. Wing, J.R. Johnson (Eds.), In Machine Learning Techniques for Space Weather p.113-145, Elsevier.

Erik Johannes Bekkers, Marco Loog, Bart M. ter Haar Romeny, Remco Duits (2018), Template Matching via Densities on the Roto-Translation Group, In IEEE Transactions on Pattern Analysis and Machine Intelligence Volume 40 p.452-466.

Jesse H. Krijthe, Marco Loog (2018), The Pessimistic Limits and Possibilities of Margin-based Losses in Semi-supervised Learning, S. Bengio, H.M. Wallach, H. Larochelle, K. Grauman, N. Cesa-Bianchi (Eds.), In NIPS'18 p.1793-1802, Curran Associates, Inc..

Yenisel Plasencia-Calaña, Yan Li, Robert P.W. Duin, Mauricio Orozco-Alzate, Marco Loog, Edel García-Reyes (2017), A Compact Representation of Multiscale Dissimilarity Data by Prototype Selection, Cesar Beltrán-Castañón, Ingela Nyström, Fazel Famili (Eds.), In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications p.150-157, Springer.

Veronika Cheplygina, Lauge Sørensen, David Tax, Marleen de Bruijne, Marco Loog (2017), Do you trust your multiple instance learning classifier?, Benelearn 2017 p.72-73.

Jianxin Wu, Xiang Bai, Marco Loog, Fabio Roli, Zhi-Hua Zhou (2017), Editorial of the Special Issue on Multi-instance Learning in Pattern Recognition and Vision, Pattern Recognition Volume 71 p.444-445.

Tom Viering, Jesse Krijthe, Marco Loog (2017), Generalization Bound Minimization for Active Learning, Benelearn 2017 p.108-109.