E Alpaydin, VV Cheplygina, M Loog, DMJ Tax (2015), Single- vs. multiple-instance classification, In Pattern Recognition Volume 48 p.2831-2838.

E Bekkers, R Duits, M Loog (2015), Training of templates for object recognition in invertible orientation scores: Application to optic nerve head detection in retinal images, XC Tai, E Bae, TF Chan, M Lysaker (Eds.), In Proceedings - 10th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition p.464-477, Springer.

VV Cheplygina, L Sørensen, DMJ Tax, JH Pedersen, M Loog, A Feragen (2014), Classification of COPD with multiple instance learning, In Proceedings of the 2014 22nd International Conference on Pattern Recognition p.1508-1513, IEEE.

RPW Duin, M Bicego, M Orozco-Alzate, S.-W. Kim, M Loog (2014), Metric learning in dissimilarity space for improved nearest neighbor performance, P Fränti, G Brown, M Loog, F Escolano, M Pelillo (Eds.), In Proceedings of the Joint IAPR International Workshop, S+SSPR 2014 p.183-192, Springer.

VV Cheplygina, DMJ Tax, M Loog, A Feragen (2014), Network guided group feature selection for classification of autism spectrum disorder, In Lecture Notes in Computer Science Volume 8679 p.1-8.

VV Cheplygina, DMJ Tax, M Loog, A Feragen (2014), Network-guided group feature selection for classification of autism spectrum disorder, G Wu, D Zhang, L Zhou (Eds.), In Proceedings 5th International workshop MLMI 2014, held in conjunction with MICCAI 2014 p.190-197, Springer.

MA Smeelen, PBW Schwering, A Toet, M Loog (2014), Semi-hidden target recognition in gated viewer images fused with thermal IR images, In Information Fusion Volume 18 p.131-147.

M Loog (2014), Semi-supervised linear discriminant analysis through moment-constraint parameter estimation, In Pattern Recognition Letters Volume 37 p.24-31.

VV Cheplygina, DMJ Tax, M Loog (2013), Combining instance information to classify bags, Z-H Zhou, F Roli, J Kittler (Eds.), In Multiple Classifier Systems - Proceedings 11th International Workshop MCS 2013 p.13-24, Springer.

T Gehrmann, M Loog, MJT Reinders, D de Ridder (2013), Conditional random fields for protein function prediction, A Ngom, E Formenti, J-K Hao, X-M Zhao, T van Laarhoven (Eds.), In Pattern Recognition in Bioinformatics - Proceedings 8th IAPR International Conference PRIB 2013 p.184-195, Springer.