David Tax

2017
Pei W, Yang J, Sun Z, et al. Interacting Attention-gated Recurrent Networks for Recommendation. In: The 26th 2017 ACM International Conference on Information and Knowledge Management (CIKM). The 26th 2017 ACM International Conference on Information and Knowledge Management (CIKM).; 2017.
Pei W, Baltrusaitis T, Tax DMJ, Morency L-P. Temporal Attention-Gated Model for Robust Sequence Classification. In: CVPR: IEEE Conference on Computer Vision and Pattern Recognition. CVPR: IEEE Conference on Computer Vision and Pattern Recognition.; 2017. Available at: https://arxiv.org/pdf/1612.00385.pdf.
2016
Kekeç T, Tax DMJ. Robust Gram Embeddings. In: Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, EMNLP 2016. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, EMNLP 2016. Austin, Texas, USA; 2016. Available at: https://www.aclweb.org/anthology/D16-1113.
Tax DMJ, Cheplygina V, Duin RPW, van de Poll J. The Similarity between Dissimilarities. In: Structural, Syntactic, and Statistical Pattern Recognition (S+SSPR). Structural, Syntactic, and Statistical Pattern Recognition (S+SSPR).; 2016:84-94.
2015
Cheplygina V, Tax DMJ. Characterizing multiple instance datasets. In: Similarity-Based Pattern Recognition (SIMBAD). Similarity-Based Pattern Recognition (SIMBAD).; 2015:15–27.
Cheplygina V, Sørensen L, Tax DMJ, de Bruijne M, Loog M. Label stability in multiple instance learning. In: Medical Image Computing and Computer Assisted Interventions (MICCAI). Medical Image Computing and Computer Assisted Interventions (MICCAI).; 2015:539–546.
2014
Cheplygina V, Sørensen L, Tax DMJ, et al. Classification of COPD with multiple instance learning. In: International Conference on Pattern Recognition. International Conference on Pattern Recognition.; 2014:1508-1513. Download: cheplygina2014classification.pdf (272.21 KB)
Cheplygina V, Tax DMJ, Loog M, Feragen A. Network Guided Group Feature Selection for Classification of Autism Spectrum Disorder. In: Machine Learning in Medical Imaging. Machine Learning in Medical Imaging.; 2014:190-197. Download: cheplygina2014network.pdf (270.76 KB)
2013
Cheplygina V, Tax DMJ, Loog M. Combining instance information to classify bags. In: Multiple Classifier Systems. Multiple Classifier Systems.; 2013:13-24. Download: paper16_cameraready.pdf (664.03 KB)
Calana YP, Cheplygina V, Duin RPW, et al. On the Informativeness of Asymmetric Dissimilarities Hancock ER, Pelillo M. Similarity-Based Pattern Recognition. 2013;LNCS 7953:75-89. Download: plasencia2013informativeness.pdf (208.14 KB)
Li Y, Tax DMJ, Duin RPW, Loog M. The Link between Multiple-Instance Learning and Learning from Only Positive and Unlabelled Examples. In: Zhou Z-H, Roli F, Kittler J Multiple Classifier Systems.Vol LNCS 7872. Multiple Classifier Systems.; 2013:157-166. Download: MilLopu_MCS2013.pdf (332.44 KB)
2012
Tax DMJ. Multiple Instance Learning using Bag Distribution Parameters. In: 24th Benelux Conference on Artificial Intelligence. 24th Benelux Conference on Artificial Intelligence. Maastricht; 2012.
Sankaranarayanan S, Bremond F, Tax DMJ. Qualitative Evaluation of Detection and Tracking Performance. In: IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance (AVSS). IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance (AVSS). Beijing, China; 2012:362-367.
Xu P, Tax DMJ, Hanjalic A. A Structure-Based Video Representation for Web Video Categorization. In: 21st International Conference on Pattern Recognition. 21st International Conference on Pattern Recognition. Tsukuba, Japan; 2012.
Cheplygina V, Tax DMJ, Loog M. Class-dependent Bag Dissimilarities for Multiple Instance Learning. In: Statistical+Structural and Syntactic Pattern Recognition Workshop. Statistical+Structural and Syntactic Pattern Recognition Workshop.; 2012. Download: paper_25.pdf (468.32 KB)
Cheplygina V, Tax DMJ, Loog M. Does a rotten apple spoil the whole barrel?. In: International Conference on Pattern Recognition. International Conference on Pattern Recognition.; 2012. Download: icpr2012.pdf (198.11 KB)