Ajaya Adhikari, David M.J. Tax, Riccardo Satta, Matthias Faeth (2019), LEAFAGE: Example-based and Feature importance-based Explanations for Black-box ML models, In 2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019 Volume 2019-June, IEEE.
Stephanie Tan, David M.J. Tax, Hayley Hung (2018), Improving temporal interpolation of head and body pose using Gaussian process regression in a matrix completion setting, Sidney D'Mello , Stefan Scherer , Panayiotis (Panos) Georgiou (Eds.), In Proceedings of the Group Interaction Frontiers in Technology, GIFT 2018, Association for Computing Machinery (ACM).
Wenjie Pei, Hamdi Dibeklioglu, David M.J. Tax, Laurens van der Maaten (2018), Multivariate Time-Series Classification Using the Hidden-Unit Logistic Model, In IEEE Transactions on Neural Networks and Learning Systems Volume 29 p.920-931.
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.
Bangjun Lei, Guangzhu Xu, Ming Feng, Yaobin Zou, Ferdinand van der Heijden, D. de Ridder, David Tax (2017), Classification, Parameter Estimation and State Estimation: An Engineering Approach Using MATLAB, 2nd Edition, John Wiley & Sons.
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.
Wenjie Pei, Jie Yang, Zhu Sun, Jie Zhang, Alessandro Bozzon, David Tax (2017), Interacting Attention-gated Recurrent Networks for Recommendation, In CIKM'17 Proceedings of the 2017 ACM Conference on Information and Knowledge Management p.1459-1468 , Association for Computing Machinery (ACM).
Hale Cetinay-Iyicil, Taygun Kekec, Fernando Kuipers, David Tax (2017), Markov Random Field for Wind Farm Planning, In 2017 IEEE International Conference on Smart Energy Grid Engineering (SEGE) p.182-187, IEEE.
Wenjie Pei, Tadas Baltrusaitis, David Tax, Louis-Philippe Morency (2017), Temporal Attention-Gated Model for Robust Sequence Classification, L. O'Conner (Eds.), In 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) p.820-829, IEEE.
Wan-Jui Lee, David Tax, Bob Duin (2016), Beyond Condition-Monitoring: Comparing Diagnostic Events with Word Sequence Kernel for Train Delay Prediction, Ioana Eballard, Anibal Bregon (Eds.), In Proceedings of the Thord European Conference of the Prognostics and Health Management Society 2016 Volume 7 p.162-167, PHM Society.