David M. J. Tax

149 papers A* 4A 1B 16C 3Misc 1Journal 70Unranked 54

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generalization performance distributions along learning curves. Pattern Recognit. Lett. O. Taylan Turan, Marco Loog, David M. J. Tax
2026	B	`conf`	On Sample-Wise Strict Monotonicity with a Gradient Update. IDA O. Taylan Turan, Marco Loog, David M. J. Tax
2025	J	`jnl`	Learning Learning Curves. Pattern Anal. Appl. O. Taylan Turan, David M. J. Tax, Tom J. Viering, Marco Loog
2025	A*	`conf`	Proactive and Reactive Constraint Programming for Stochastic Project Scheduling with Maximal Time-Lags. AAAI Kim van den Houten, Léon Planken, Esteban Freydell, David M. J. Tax, Mathijs de Weerdt
2025	—	`conf`	The Vanishing Empirical Variance in Randomly Initialized Deep ReLU Networks. ECML/PKDD (4) Michal Grzejdziak-Zdziarski, David M. J. Tax, Marco Loog
2025	J	`jnl`	iPINNs: incremental learning for Physics-informed neural networks. Eng. Comput. Aleksandr Dekhovich, Marcel H. F. Sluiter, David M. J. Tax, Miguel A. Bessa
2024	J	`jnl`	Inductive Conformal Prediction under Data Scarcity: Exploring the Impacts of Nonconformity Measures. CoRR Yuko Kato, David M. J. Tax, Marco Loog
2024	—	`conf`	Learning from Scenarios for Repairable Stochastic Scheduling. CPAIOR (2) Kim van den Houten, David M. J. Tax, Esteban Freydell, Mathijs de Weerdt
2024	J	`jnl`	Learning solutions of parametric Navier-Stokes with physics-informed neural networks. CoRR Mahdi Naderibeni, Marcel J. T. Reinders, Liang Wu, David M. J. Tax
2024	J	`jnl`	Neural network relief: a pruning algorithm based on neural activity. Mach. Learn. Aleksandr Dekhovich, David M. J. Tax, Marcel H. F. Sluiter, Miguel A. Bessa
2024	A*	`conf`	PATE: Proximity-Aware Time Series Anomaly Evaluation. KDD Ramin Ghorbani, Marcel J. T. Reinders, David M. J. Tax
2024	J	`jnl`	PATE: Proximity-Aware Time series anomaly Evaluation. CoRR Ramin Ghorbani, Marcel J. T. Reinders, David M. J. Tax
2024	J	`jnl`	Personalized anomaly detection in PPG data using representation learning and biometric identification. Biomed. Signal Process. Control. Ramin Ghorbani, Marcel J. T. Reinders, David M. J. Tax
2024	J	`jnl`	Proactive and Reactive Constraint Programming for Stochastic Project Scheduling with Maximal Time-Lags. CoRR Kim van den Houten, Léon Planken, Esteban Freydell, David M. J. Tax, Mathijs de Weerdt
2024	J	`jnl`	RESTAD: REconstruction and Similarity based Transformer for time series Anomaly Detection. CoRR Ramin Ghorbani, Marcel J. T. Reinders, David M. J. Tax
2024	—	`conf`	RESTAD: Reconstruction and Similarity Based Transformer for Time Series Anomaly Detection. MLSP Ramin Ghorbani, Marcel J. T. Reinders, David M. J. Tax
2023	—	`conf`	A Review of Nonconformity Measures for Conformal Prediction in Regression. COPA Yuko Kato, David M. J. Tax, Marco Loog
2023	J	`jnl`	Continual prune-and-select: class-incremental learning with specialized subnetworks. Appl. Intell. Aleksandr Dekhovich, David M. J. Tax, Marcel H. F. Sluiter, Miguel A. Bessa
2023	J	`jnl`	Detecting outliers from pairwise proximities: Proximity isolation forests. Pattern Recognit. Antonella Mensi, David M. J. Tax, Manuele Bicego
2023	J	`jnl`	Improving performance of heart rate time series classification by grouping subjects. CoRR Michael Beekhuizen, Arman Naseri, David M. J. Tax, Ivo van der Bilt, Marcel J. T. Reinders
2023	J	`jnl`	Learning From Scenarios for Stochastic Repairable Scheduling. CoRR Kim van den Houten, David M. J. Tax, Esteban Freydell, Mathijs de Weerdt
2023	J	`jnl`	Personalized Anomaly Detection in PPG Data using Representation Learning and Biometric Identification. CoRR Ramin Ghorbani, Marcel J. T. Reinders, David M. J. Tax
2023	Misc	`conf`	Rolling-Horizon Simulation Optimization For A Multi-Objective Biomanufacturing Scheduling Problem. WSC Kim van den Houten, Mathijs de Weerdt, David M. J. Tax, Esteban Freydell, Eva Christoupoulou, Alessandro Nati
2023	—	`conf`	Self-Supervised PPG Representation Learning Shows High Inter-Subject Variability. ICMLT Ramin Ghorbani, Marcel J. T. Reinders, David M. J. Tax
2023	J	`jnl`	iPINNs: Incremental learning for Physics-informed neural networks. CoRR Aleksandr Dekhovich, Marcel H. F. Sluiter, David M. J. Tax, Miguel A. Bessa
2022	J	`jnl`	A Spatiotemporal Deep Neural Network Useful for Defect Identification and Reconstruction of Artworks Using Infrared Thermography. Sensors Morteza Moradi, Ramin Ghorbani, Stefano Sfarra, David M. J. Tax, Dimitrios Zarouchas
2022	—	`conf`	A View on Model Misspecification in Uncertainty Quantification. BNAIC/BENELEARN Yuko Kato, David M. J. Tax, Marco Loog
2022	J	`jnl`	A view on model misspecification in uncertainty quantification. CoRR Yuko Kato, David M. J. Tax, Marco Loog
2022	J	`jnl`	Continual Prune-and-Select: Class-incremental learning with specialized subnetworks. CoRR Aleksandr Dekhovich, David M. J. Tax, Marcel H. F. Sluiter, Miguel A. Bessa
2022	B	`conf`	Conversation Group Detection With Spatio-Temporal Context. ICMI Stephanie Tan, David M. J. Tax, Hayley Hung
2022	J	`jnl`	Conversation Group Detection With Spatio-Temporal Context. CoRR Stephanie Tan, David M. J. Tax, Hayley Hung
2022	J	`jnl`	Self-Supervised PPG Representation Learning Shows High Inter-Subject Variability. CoRR Ramin Ghorbani, Marcel J. T. Reinders, David M. J. Tax
2021	—	`conf`	Head and Body Orientation Estimation with Sparse Weak Labels in Free Standing Conversational Settings. DYAD@ICCV Stephanie Tan, David M. J. Tax, Hayley Hung
2021	J	`jnl`	Multimodal Joint Head Orientation Estimation in Interacting Groups via Proxemics and Interaction Dynamics. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Stephanie Tan, David M. J. Tax, Hayley Hung
2021	J	`jnl`	Neural network relief: a pruning algorithm based on neural activity. CoRR Aleksandr Dekhovich, David M. J. Tax, Marcel H. F. Sluiter, Miguel A. Bessa
2021	J	`jnl`	Sem2Vec: Semantic Word Vectors with Bidirectional Constraint Propagations. IEEE Trans. Knowl. Data Eng. Taygun Kekeç, David M. J. Tax
2020	J	`jnl`	A Brief Prehistory of Double Descent. CoRR Marco Loog, Tom J. Viering, Alexander Mey, Jesse H. Krijthe, David M. J. Tax
2020	—	`conf`	An Alternative Exploitation of Isolation Forests for Outlier Detection. S+SSPR Antonella Mensi, Alessio Franzoni, David M. J. Tax, Manuele Bicego
2020	J	`jnl`	Attended End-to-End Architecture for Age Estimation From Facial Expression Videos. IEEE Trans. Image Process. Wenjie Pei, Hamdi Dibeklioglu, Tadas Baltrusaitis, David M. J. Tax
2020	J	`jnl`	Gestures In-The-Wild: Detecting Conversational Hand Gestures in Crowded Scenes Using a Multimodal Fusion of Bags of Video Trajectories and Body Worn Acceleration. IEEE Trans. Multim. Laura Cabrera Quiros, David M. J. Tax, Hayley Hung
2020	B	`conf`	Proximity Isolation Forests. ICPR Antonella Mensi, Manuele Bicego, David M. J. Tax
2019	J	`jnl`	A dissimilarity-based multiple instance learning approach for protein remote homology detection. Pattern Recognit. Lett. Antonella Mensi, Manuele Bicego, Pietro Lovato, Marco Loog, David M. J. Tax
2019	J	`jnl`	Boosted negative sampling by quadratically constrained entropy maximization. Pattern Recognit. Lett. Taygun Kekeç, David Mimno, David M. J. Tax
2019	B	`conf`	LEAFAGE: Example-based and Feature importance-based Explanations for Black-box ML models. FUZZ-IEEE Ajaya Adhikari, David M. J. Tax, Riccardo Satta, Matthias Faeth
2018	J	`jnl`	Characterizing multiple instance datasets. CoRR Veronika Cheplygina, David M. J. Tax
2018	J	`jnl`	Example and Feature importance-based Explanations for Black-box Machine Learning Models. CoRR Ajaya Adhikari, David M. J. Tax, Riccardo Satta, Matthias Faeth
2018	—	`conf`	Improving Temporal Interpolation of Head and Body Pose using Gaussian Process Regression in a Matrix Completion Setting. GIFT@ICMI Stephanie Tan, David M. J. Tax, Hayley Hung
2018	J	`jnl`	Multivariate Time-Series Classification Using the Hidden-Unit Logistic Model. IEEE Trans. Neural Networks Learn. Syst. Wenjie Pei, Hamdi Dibeklioglu, David M. J. Tax, Laurens van der Maaten
2018	—	`conf`	PAWE: Polysemy Aware Word Embeddings. ICISDM Taygun Kekeç, Laurens van der Maaten, David M. J. Tax
2018	—	`conf`	Protein Remote Homology Detection Using Dissimilarity-Based Multiple Instance Learning. S+SSPR Antonella Mensi, Manuele Bicego, Pietro Lovato, Marco Loog, David M. J. Tax
2018	J	`jnl`	Unsupervised Learning of Sequence Representations by Autoencoders. CoRR Wenjie Pei, David M. J. Tax
2017	J	`jnl`	Attended End-to-end Architecture for Age Estimation from Facial Expression Videos. CoRR Wenjie Pei, Hamdi Dibeklioglu, Tadas Baltrusaitis, David M. J. Tax
2017	J	`jnl`	Classification of COPD with Multiple Instance Learning. CoRR Veronika Cheplygina, Lauge Sørensen, David M. J. Tax, Jesper Holst Pedersen, Marco Loog, Marleen de Bruijne
2017	A	`conf`	Interacting Attention-gated Recurrent Networks for Recommendation. CIKM Wenjie Pei, Jie Yang, Zhu Sun, Jie Zhang, Alessandro Bozzon, David M. J. Tax
2017	J	`jnl`	Interacting Attention-gated Recurrent Networks for Recommendation. CoRR Wenjie Pei, Jie Yang, Zhu Sun, Jie Zhang, Alessandro Bozzon, David M. J. Tax
2017	J	`jnl`	Label Stability in Multiple Instance Learning. CoRR Veronika Cheplygina, Lauge Sørensen, David M. J. Tax, Marleen de Bruijne, Marco Loog
2017	A*	`conf`	Temporal Attention-Gated Model for Robust Sequence Classification. CVPR Wenjie Pei, Tadas Baltrusaitis, David M. J. Tax, Louis-Philippe Morency
2016	J	`jnl`	'It is Time to Prepare the Next patient' Real-Time Prediction of Procedure Duration in Laparoscopic Cholecystectomies. J. Medical Syst. Annetje C. P. Guédon, M. Paalvast, Frédérique 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
2016	B	`conf`	Class-dependent, non-convex losses to optimize precision. ICPR David M. J. Tax, Feng Wang
2016	J	`jnl`	Dissimilarity-Based Ensembles for Multiple Instance Learning. IEEE Trans. Neural Networks Learn. Syst. Veronika Cheplygina, David M. J. Tax, Marco Loog
2016	J	`jnl`	Modeling Time Series Similarity with Siamese Recurrent Networks. CoRR Wenjie Pei, David M. J. Tax, Laurens van der Maaten
2016	B	`conf`	Regularizing AdaBoost with validation sets of increasing size. ICPR Dirk W. J. Meijer, David M. J. Tax
2016	A*	`conf`	Robust Gram Embeddings. EMNLP Taygun Kekeç, David M. J. Tax
2016	J	`jnl`	Survey on the attention based RNN model and its applications in computer vision. CoRR Feng Wang, David M. J. Tax
2016	J	`jnl`	Temporal Attention-Gated Model for Robust Sequence Classification. CoRR Wenjie Pei, Tadas Baltrusaitis, David M. J. Tax, Louis-Philippe Morency
2016	—	`conf`	The Similarity Between Dissimilarities. S+SSPR David M. J. Tax, Veronika Cheplygina, Robert P. W. Duin, Jan van de Poll
2015	—	`conf`	An Adaptive Radial Basis Function Kernel for Support Vector Data Description. SIMBAD André Eugênio Lazzaretti, David M. J. Tax
2015	—	`conf`	Characterizing Multiple Instance Datasets. SIMBAD Veronika Cheplygina, David M. J. Tax
2015	—	`conf`	Label Stability in Multiple Instance Learning. MICCAI (1) Veronika Cheplygina, Lauge Sørensen, David M. J. Tax, Marleen de Bruijne, Marco Loog
2015	J	`jnl`	Multiple instance learning with bag dissimilarities. Pattern Recognit. Veronika Cheplygina, David M. J. Tax, Marco Loog
2015	J	`jnl`	On classification with bags, groups and sets. Pattern Recognit. Lett. Veronika Cheplygina, David M. J. Tax, Marco Loog
2015	C	`conf`	Real-time estimation of surgical procedure duration. HealthCom A. C. P. Guédon, M. Paalvast, Frédérique 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	J	`jnl`	Single- vs. multiple-instance classification. Pattern Recognit. Ethem Alpaydin, Veronika Cheplygina, Marco Loog, David M. J. Tax
2015	J	`jnl`	Time Series Classification using the Hidden-Unit Logistic Model. CoRR Wenjie Pei, Hamdi Dibeklioglu, David M. J. Tax, Laurens van der Maaten
2014	B	`conf`	Classification of COPD with Multiple Instance Learning. ICPR Veronika Cheplygina, Lauge Sørensen, David M. J. Tax, Jesper Johannes Holst Pedersen, Marco Loog, Marleen de Bruijne
2014	J	`jnl`	Dissimilarity-based Ensembles for Multiple Instance Learning. CoRR Veronika Cheplygina, David M. J. Tax, Marco Loog
2014	—	`conf`	Evaluating Classification Performance with only Positive and Unlabeled Samples. S+SSPR Siamak Hajizadeh, Zili Li, Rolf P. B. J. Dollevoet, David M. J. Tax
2014	—	`conf`	Network-Guided Group Feature Selection for Classification of Autism Spectrum Disorder. MLMI Veronika Cheplygina, David M. J. Tax, Marco Loog, Aasa Feragen
2014	J	`jnl`	On Classification with Bags, Groups and Sets. CoRR Veronika Cheplygina, David M. J. Tax, Marco Loog
2014	J	`jnl`	Quantile Representation for Indirect Immunofluorescence Image Classification. CoRR David M. J. Tax, Veronika Cheplygina, Marco Loog
2014	B	`conf`	The Effect of Aggregating Subtype Performances Depends Strongly on the Performance Measure Used. ICPR David M. J. Tax, Herman M. J. Sontrop, Marcel J. T. Reinders, Perry D. Moerland
2013	—	`conf`	Combining Instance Information to Classify Bags. MCS Veronika Cheplygina, David M. J. Tax, Marco Loog
2013	J	`jnl`	Multiple Instance Learning with Bag Dissimilarities. CoRR Veronika Cheplygina, David M. J. Tax, Marco Loog
2013	J	`jnl`	Multiple-instance learning as a classifier combining problem. Pattern Recognit. Yan Li, David M. J. Tax, Robert P. W. Duin, Marco Loog
2013	—	`conf`	On the Informativeness of Asymmetric Dissimilarities. SIMBAD Yenisel Plasencia Calana, Veronika Cheplygina, Robert P. W. Duin, Edel B. García Reyes, Mauricio Orozco-Alzate, David M. J. Tax, Marco Loog
2013	—	`conf`	Online face recognition and learning for cognitive robots. ICAR Floris Gaisser, Maja Rudinac, Pieter P. Jonker, David M. J. Tax
2013	—	`conf`	The Link between Multiple-Instance Learning and Learning from Only Positive and Unlabelled Examples. MCS Yan Li, David M. J. Tax, Robert P. W. Duin, Marco Loog
2012	B	`conf`	A structure-based video representation for web video categorization. ICPR Peng Xu, David M. J. Tax, Alan Hanjalic
2012	J	`jnl`	Bridging Structure and Feature Representations in Graph Matching. Int. J. Pattern Recognit. Artif. Intell. Wan-Jui Lee, Veronika Cheplygina, David M. J. Tax, Marco Loog, Robert P. W. Duin
2012	—	`conf`	Class-Dependent Dissimilarity Measures for Multiple Instance Learning. SSPR/SPR Veronika Cheplygina, David M. J. Tax, Marco Loog
2012	B	`conf`	Does one rotten apple spoil the whole barrel? ICPR Veronika Cheplygina, David M. J. Tax, Marco Loog
2012	B	`conf`	Qualitative Evaluation of Detection and Tracking Performance. AVSS Swaminathan Sankaranarayanan, François Brémond, David M. J. Tax
2012	J	`jnl`	Scale selection for supervised image segmentation. Image Vis. Comput. Yan Li, David M. J. Tax, Marco Loog
2011	—	`conf`	Bag Dissimilarities for Multiple Instance Learning. SIMBAD David M. J. Tax, Marco Loog, Robert P. W. Duin, Veronika Cheplygina, Wan-Jui Lee
2011	—	`conf`	Pruned Random Subspace Method for One-Class Classifiers. MCS Veronika Cheplygina, David M. J. Tax
2011	—	`conf`	Question Classification by Weighted Combination of Lexical, Syntactic and Semantic Features. TSD Babak Loni, Gijs van Tulder, Pascal Wiggers, David M. J. Tax, Marco Loog
2011	—	`conf`	Supervised Scale-Invariant Segmentation (and Detection). SSVM Yan Li, David M. J. Tax, Marco Loog
2011	—	`conf`	TUD-MM at MediaEval 2011 Genre Tagging Task: Video search reranking for genre tagging. MediaEval Peng Xu, David M. J. Tax, Alan Hanjalic
2010	—	`conf`	Dissimilarity-Based Multiple Instance Learning. SSPR/SPR Lauge Sørensen, Marco Loog, David M. J. Tax, Wan-Jui Lee, Marleen de Bruijne, Robert P. W. Duin
2010	—	`conf`	Feature-Based Dissimilarity Space Classification. ICPR Contests Robert P. W. Duin, Marco Loog, Elzbieta Pekalska, David M. J. Tax
2010	B	`conf`	The Detection of Concept Frames Using Clustering Multi-instance Learning. ICPR David M. J. Tax, E. Hendriks, Michel François Valstar, Maja Pantic
2009	J	`jnl`	Component-based discriminative classification for hidden Markov models. Pattern Recognit. Manuele Bicego, Elzbieta Pekalska, David M. J. Tax, Robert P. W. Duin
2009	J	`jnl`	Dissimilarity-based classification in the absence of local ground truth: Application to the diagnostic interpretation of chest radiographs. Pattern Recognit. Yulia Arzhaeva, David M. J. Tax, Bram van Ginneken
2009	—	`conf`	Maximum Membership Scale Selection. MCS Marco Loog, Yan Li, David M. J. Tax
2009	J	`jnl`	Minimum spanning tree based one-class classifier. Neurocomputing Piotr Juszczak, David M. J. Tax, Elzbieta Pekalska, Robert P. W. Duin
2009	—	`conf`	Optimal Mean-Precision Classifier. MCS David M. J. Tax, Marco Loog, Robert P. W. Duin
2008	—	`conf`	A Fast Approach to Improve Classification Performance of ECOC Classification Systems. SSPR/SPR Paolo Simeone, David M. J. Tax, Robert P. W. Duin, Francesco Tortorella
2008	J	`jnl`	Growing a multi-class classifier with a reject option. Pattern Recognit. Lett. David M. J. Tax, Robert P. W. Duin
2008	—	`conf`	Learning Curves for the Analysis of Multiple Instance Classifiers. SSPR/SPR David M. J. Tax, Robert P. W. Duin
2008	J	`jnl`	Subclass Problem-Dependent Design for Error-Correcting Output Codes. IEEE Trans. Pattern Anal. Mach. Intell. Sergio Escalera, David M. J. Tax, Oriol Pujol, Petia Radeva, Robert P. W. Duin
2006	—	`conf`	Domain Based LDA and QDA. ICPR (2) Piotr Juszczak, David M. J. Tax, Serguei Verzakov, Robert P. W. Duin
2006	J	`jnl`	From outliers to prototypes: Ordering data. Neurocomputing Stefan Harmeling, Guido Dornhege, David M. J. Tax, Frank C. Meinecke, Klaus-Robert Müller
2006	—	`conf`	Image Classification from Generalized Image Distance Features: Application to Detection of Interstitial Disease in Chest Radiographs. ICPR (1) Yulia Arzhaeva, Bram van Ginneken, David M. J. Tax
2006	B	`conf`	Improving computer-aided diagnosis of interstitial disease in chest radiographs by combining one-class and two-class classifiers. Image Processing Yulia Arzhaeva, David M. J. Tax, Bram van Ginneken
2006	—	`conf`	Linear model combining by optimizing the Area under the ROC curve. ICPR (4) David M. J. Tax, Robert P. W. Duin
2006	—	`conf`	Outlier Detection Using Ball Descriptions with Adjustable Metric. SSPR/SPR David M. J. Tax, Piotr Juszczak, Elzbieta Pekalska, Robert P. W. Duin
2006	J	`jnl`	The interaction between classification and reject performance for distance-based reject-option classifiers. Pattern Recognit. Lett. Thomas C. W. Landgrebe, David M. J. Tax, Pavel Paclík, Robert P. W. Duin
2005	—	`conf`	A Weighted Nearest Mean Classifier for Sparse Subspaces. CVPR (2) Cor J. Veenman, David M. J. Tax
2005	J	`jnl`	LESS: A Model-Based Classifier for Sparse Subspaces. IEEE Trans. Pattern Anal. Mach. Intell. Cor J. Veenman, David M. J. Tax
2005	—	`conf`	On Deriving the Second-Stage Training Set for Trainable Combiners. Multiple Classifier Systems Pavel Paclík, Thomas C. W. Landgrebe, David M. J. Tax, Robert P. W. Duin
2005	—	`conf`	Optimising Two-Stage Recognition Systems. Multiple Classifier Systems Thomas C. W. Landgrebe, Pavel Paclík, David M. J. Tax, Robert P. W. Duin
2005	—	`conf`	Turning the hyperparameter of an AUC-optimized classifier. BNAIC David M. J. Tax, Cor J. Veenman
2004	—	`conf`	A Consistency-Based Model Selection for One-Class Classification. ICPR (3) David M. J. Tax, Klaus-Robert Müller
2004	J	`jnl`	A Study On Combining Image Representations For Image Classification And Retrieval. Int. J. Pattern Recognit. Artif. Intell. Carmen Lai, David M. J. Tax, Robert P. W. Duin, Elzbieta Pekalska, Pavel Paclík
2004	—	`conf`	Cost-Based Classifier Evaluation for Imbalanced Problems. SSPR/SPR Thomas C. W. Landgrebe, Pavel Paclík, David M. J. Tax, Serguei Verzakov, Robert P. W. Duin
2004	J	`jnl`	Support Vector Data Description. Mach. Learn. David M. J. Tax, Robert P. W. Duin
2004	—	`conf`	The Characterization of Classification Problems by Classifier Disagreements. ICPR (1) Robert P. W. Duin, Elzbieta Pekalska, David M. J. Tax
2004	—	`conf`	Visual Object Recognition Through One-Class Learning. ICIAR (1) Qinghua Wang, Luís Seabra Lopes, David M. J. Tax
2003	C	`conf`	Feature Extraction for One-Class Classification. ICANN David M. J. Tax, Klaus-Robert Müller
2003	J	`jnl`	Kernel Whitening for One-Class Classification. Int. J. Pattern Recognit. Artif. Intell. David M. J. Tax, Piotr Juszczak
2003	—	`conf`	Online SVM learning: from classification to data description and back. NNSP David M. J. Tax, Pavel Laskov
2002	—	`conf`	Kernel Whitening for One-Class Classification. SVM David M. J. Tax, Piotr Juszczak
2002	—	`conf`	On Combining One-Class Classifiers for Image Database Retrieval. Multiple Classifier Systems Carmen Lai, David M. J. Tax, Robert P. W. Duin, Elzbieta Pekalska, Pavel Paclík
2002	—	`conf`	One-Class LP Classifiers for Dissimilarity Representations. NIPS Elzbieta Pekalska, David M. J. Tax, Robert P. W. Duin
2002	—	`conf`	Using Two-Class Classifiers for Multiclass Classification. ICPR (2) David M. J. Tax, Robert P. W. Duin
2001	—	`conf`	Combining One-Class Classifiers. Multiple Classifier Systems David M. J. Tax, Robert P. W. Duin
2001	J	`jnl`	Uniform Object Generation for Optimizing One-class Classifiers. J. Mach. Learn. Res. David M. J. Tax, Robert P. W. Duin
2000	J	`jnl`	Combining multiple classifiers by averaging or by multiplying? Pattern Recognit. David M. J. Tax, Martijn van Breukelen, Robert P. W. Duin, Josef Kittler
2000	B	`conf`	Data Description in Subspaces. ICPR David M. J. Tax, Robert P. W. Duin
2000	—	`conf`	Experiments with Classifier Combining Rules. Multiple Classifier Systems Robert P. W. Duin, David M. J. Tax
1999	B	`conf`	Data domain description using support vectors. ESANN David M. J. Tax, Robert P. W. Duin
1999	B	`conf`	Pump Failure Detection Using Support Vector Data Descriptions. IDA David M. J. Tax, Alexander Ypma, Robert P. W. Duin
1999	J	`jnl`	Support vector domain description. Pattern Recognit. Lett. David M. J. Tax, Robert P. W. Duin
1998	—	`conf`	Classifier Conditional Posterior Probabilities. SSPR/SPR Robert P. W. Duin, David M. J. Tax
1998	J	`jnl`	Featureless pattern classification. Kybernetika Robert P. W. Duin, Dick de Ridder, David M. J. Tax
1998	J	`jnl`	Handwritten digit recognition by combined classifiers. Kybernetika Martijn van Breukelen, Robert P. W. Duin, David M. J. Tax, J. E. den Hartog
1998	—	`conf`	Outlier Detection Using Classifier Instability. SSPR/SPR David M. J. Tax, Robert P. W. Duin
1997	J	`jnl`	Experiments with a featureless approach to pattern recognition. Pattern Recognit. Lett. Robert P. W. Duin, Dick de Ridder, David M. J. Tax
1996	C	`conf`	Learning Structure with Many-Take-All Networks. ICANN David M. J. Tax, Hilbert J. Kappen