| 2026 | IDA | On Sample-Wise Strict Monotonicity with a Gradient Update. | O. Taylan Turan, Marco Loog, David M. J. Tax |
| 2025 | AAAI | Proactive and Reactive Constraint Programming for Stochastic Project Scheduling with Maximal Time-Lags. | Kim van den Houten, Lon Planken, Esteban Freydell, David M. J. Tax, Mathijs de Weerdt |
| 2024 | CPAIOR | Learning from Scenarios for Repairable Stochastic Scheduling. | Kim van den Houten, David M. J. Tax, Esteban Freydell, Mathijs de Weerdt |
| 2024 | KDD | PATE: Proximity-Aware Time Series Anomaly Evaluation. | Ramin Ghorbani, Marcel J. T. Reinders, David M. J. Tax |
| 2023 | WSC | Rolling-Horizon Simulation Optimization For A Multi-Objective Biomanufacturing Scheduling Problem. | Kim van den Houten, Mathijs de Weerdt, David M. J. Tax, Esteban Freydell, Eva Christoupoulou, Alessandro Nati |
| 2022 | ICMI | Conversation Group Detection With Spatio-Temporal Context. | Stephanie Tan, David M. J. Tax, Hayley Hung |
| 2021 | ICCV | Head and Body Orientation Estimation with Sparse Weak Labels in Free Standing Conversational Settings. | Stephanie Tan, David M. J. Tax, Hayley Hung |
| 2020 | ICPR | Proximity Isolation Forests. | Antonella Mensi, Manuele Bicego, David M. J. Tax |
| 2020 | SSPR | An Alternative Exploitation of Isolation Forests for Outlier Detection. | Antonella Mensi, Alessio Franzoni, David M. J. Tax, Manuele Bicego |
| 2018 | ICMI | Improving Temporal Interpolation of Head and Body Pose using Gaussian Process Regression in a Matrix Completion Setting. | Stephanie Tan, David M. J. Tax, Hayley Hung |
| 2018 | SSPR | Protein Remote Homology Detection Using Dissimilarity-Based Multiple Instance Learning. | Antonella Mensi, Manuele Bicego, Pietro Lovato, Marco Loog, David M. J. Tax |
| 2017 | CIKM | Interacting Attention-gated Recurrent Networks for Recommendation. | Wenjie Pei, Jie Yang, Zhu Sun, Jie Zhang, Alessandro Bozzon, David M. J. Tax |
| 2017 | CVPR | Temporal Attention-Gated Model for Robust Sequence Classification. | Wenjie Pei, Tadas Baltrusaitis, David M. J. Tax, Louis-Philippe Morency |
| 2016 | EMNLP | Robust Gram Embeddings. | Taygun Keke, David M. J. Tax |
| 2016 | ICPR | Regularizing AdaBoost with validation sets of increasing size. | Dirk W. J. Meijer, David M. J. Tax |
| 2016 | ICPR | Class-dependent, non-convex losses to optimize precision. | David M. J. Tax, Feng Wang |
| 2016 | SSPR | The Similarity Between Dissimilarities. | David M. J. Tax, Veronika Cheplygina, Robert P. W. Duin, Jan van de Poll |
| 2015 | HealthCom | Real-time estimation of surgical procedure duration. | A. C. P. Gudon, M. Paalvast, Frdrique C. Meeuwsen, David M. J. Tax, A. P. van Dijke, L. S. G. L. Wauben, M. van der Elst, Jenny Dankelman, John van den Dobbelsteen |
| 2015 | MICCAI | Label Stability in Multiple Instance Learning. | Veronika Cheplygina, Lauge Srensen, David M. J. Tax, Marleen de Bruijne, Marco Loog |
| 2014 | ICPR | Classification of COPD with Multiple Instance Learning. | Veronika Cheplygina, Lauge Srensen, David M. J. Tax, Jesper Johannes Holst Pedersen, Marco Loog, Marleen de Bruijne |
| 2014 | ICPR | The Effect of Aggregating Subtype Performances Depends Strongly on the Performance Measure Used. | David M. J. Tax, Herman M. J. Sontrop, Marcel J. T. Reinders, Perry D. Moerland |
| 2014 | MICCAI | Network-Guided Group Feature Selection for Classification of Autism Spectrum Disorder. | Veronika Cheplygina, David M. J. Tax, Marco Loog, Aasa Feragen |
| 2014 | SSPR | Evaluating Classification Performance with only Positive and Unlabeled Samples. | Siamak Hajizadeh, Zili Li, Rolf P. B. J. Dollevoet, David M. J. Tax |
| 2012 | AVSS | Qualitative Evaluation of Detection and Tracking Performance. | Swaminathan Sankaranarayanan, Franois Brmond, David M. J. Tax |
| 2012 | ICPR | Does one rotten apple spoil the whole barrel? | Veronika Cheplygina, David M. J. Tax, Marco Loog |
| 2012 | ICPR | A structure-based video representation for web video categorization. | Peng Xu, David M. J. Tax, Alan Hanjalic |
| 2012 | SSPR | Class-Dependent Dissimilarity Measures for Multiple Instance Learning. | Veronika Cheplygina, David M. J. Tax, Marco Loog |
| 2010 | ICPR | Feature-Based Dissimilarity Space Classification. | Robert P. W. Duin, Marco Loog, Elzbieta Pekalska, David M. J. Tax |
| 2010 | ICPR | The Detection of Concept Frames Using Clustering Multi-instance Learning. | David M. J. Tax, E. Hendriks, Michel Franois Valstar, Maja Pantic |
| 2010 | SSPR | Dissimilarity-Based Multiple Instance Learning. | Lauge Srensen, Marco Loog, David M. J. Tax, Wan-Jui Lee, Marleen de Bruijne, Robert P. W. Duin |
| 2008 | SSPR | A Fast Approach to Improve Classification Performance of ECOC Classification Systems. | Paolo Simeone, David M. J. Tax, Robert P. W. Duin, Francesco Tortorella |
| 2008 | SSPR | Learning Curves for the Analysis of Multiple Instance Classifiers. | David M. J. Tax, Robert P. W. Duin |
| 2006 | ICPR | Image Classification from Generalized Image Distance Features: Application to Detection of Interstitial Disease in Chest Radiographs. | Yulia Arzhaeva, Bram van Ginneken, David M. J. Tax |
| 2006 | ICPR | Domain Based LDA and QDA. | Piotr Juszczak, David M. J. Tax, Serguei Verzakov, Robert P. W. Duin |
| 2006 | ICPR | Linear model combining by optimizing the Area under the ROC curve. | David M. J. Tax, Robert P. W. Duin |
| 2006 | SSPR | Outlier Detection Using Ball Descriptions with Adjustable Metric. | David M. J. Tax, Piotr Juszczak, Elzbieta Pekalska, Robert P. W. Duin |
| 2005 | CVPR | A Weighted Nearest Mean Classifier for Sparse Subspaces. | Cor J. Veenman, David M. J. Tax |
| 2004 | ICPR | The Characterization of Classification Problems by Classifier Disagreements. | Robert P. W. Duin, Elzbieta Pekalska, David M. J. Tax |
| 2004 | ICPR | A Consistency-Based Model Selection for One-Class Classification. | David M. J. Tax, Klaus-Robert Mller |
| 2004 | SSPR | Cost-Based Classifier Evaluation for Imbalanced Problems. | Thomas C. W. Landgrebe, Pavel Paclk, David M. J. Tax, Serguei Verzakov, Robert P. W. Duin |
| 2003 | ICANN | Feature Extraction for One-Class Classification. | David M. J. Tax, Klaus-Robert Mller |
| 2002 | ICPR | Using Two-Class Classifiers for Multiclass Classification. | David M. J. Tax, Robert P. W. Duin |
| 2000 | ICPR | Data Description in Subspaces. | David M. J. Tax, Robert P. W. Duin |
| 1999 | ESANN | Data domain description using support vectors. | David M. J. Tax, Robert P. W. Duin |
| 1999 | IDA | Pump Failure Detection Using Support Vector Data Descriptions. | David M. J. Tax, Alexander Ypma, Robert P. W. Duin |
| 1998 | SSPR | Classifier Conditional Posterior Probabilities. | Robert P. W. Duin, David M. J. Tax |
| 1998 | SSPR | Outlier Detection Using Classifier Instability. | David M. J. Tax, Robert P. W. Duin |
| 1996 | ICANN | Learning Structure with Many-Take-All Networks. | David M. J. Tax, Hilbert J. Kappen |