Jesse Krijthe, Marco Loog (2016), Optimistic semi-supervised least squares classification, In 2016 23rd International Conference on Pattern Recognition (ICPR) p.1677-1682, IEEE.

A. Robles-Kelly, Marco Loog, B. Biggio, F. Escolano, R Wilson (Eds.) (2016), Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshop, S+SSPR 2016, Mérida, Mexico, November 29 - December 2, 2016, Proceedings, Springer.

Jesse Krijthe, Marco Loog (2016), The Peaking Phenomenon in Semi-supervised Learning, A. Robles-Kelly, Marco Loog, B. Biggio, F. Escolano, R. Wilson (Eds.), In Structural, Syntactic, and Statistical Pattern Recognition p.299-309, Springer.

M. Bicego, Marco Loog (2016), Weighted K-Nearest Neighbor Revisited, In 2016 23rd International Conference on Pattern Recognition (ICPR) p.1642-1647, IEEE.

JH Krijthe, M Loog (2015), Implicitly Constrained Semi-Supervised Least Squares Classification, T Fromont, T de Bie, M van Leeuwen (Eds.), In Proceedings of the 14th International Symposium on Advances in Intelligent Data Analysis XIV p.158-169, Springer.

VV Cheplygina, L Sørensen, DMJ Tax, M de Bruijne, M Loog (2015), Label stability in multiple instance learning, J Hornegger, N Navab, WM Wells, AF Frangi (Eds.), In Proceedings - 18th International Conference on Medical Image Computing and Computer-Assisted Intervention p.539-546, Springer.

VV Cheplygina, DMJ Tax, M Loog (2015), Multiple instance learning with bag dissimilarities, In Pattern Recognition Volume 48 p.264-275.

VV Cheplygina, DMJ Tax, M Loog (2015), On classification with bags, groups and sets, In Pattern Recognition Letters Volume 59 p.11-17.

M Nielsen, B Markussen, M Loog (2015), Relevance sampling, J Rissanen, P Harremoes, S Forchhammer, T Roos, P Myllymaki (Eds.), In Proceedings of the 8ht Workshop on Information Theoretic Methods in Science and Engineering p.35-38, University of Helsinki.

M Loog, AC Jensen (2015), Semi-supervised nearest mean classification through a constrained log-likelihood, In IEEE Transactions on Neural Networks Volume 26 p.995-1006.