David M. J. Tax

According to our database, David M. J. Tax authored at least 126 papers between 1996 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Neural network relief: a pruning algorithm based on neural activity.

Aleksandr Dekhovich, David M. J. Tax, Marcel H. F. Sluiter, Miguel A. Bessa

Mach. Learn., May, 2024

Inductive Conformal Prediction under Data Scarcity: Exploring the Impacts of Nonconformity Measures.

Yuko Kato, David M. J. Tax, Marco Loog

CoRR, 2024

Proactive and Reactive Constraint Programming for Stochastic Project Scheduling with Maximal Time-Lags.

Kim van den Houten, Léon Planken, Esteban Freydell, David M. J. Tax, Mathijs de Weerdt

CoRR, 2024

Learning solutions of parametric Navier-Stokes with physics-informed neural networks.

Mahdi Naderibeni, Marcel J. T. Reinders, Liang Wu, David M. J. Tax

CoRR, 2024

Personalized anomaly detection in PPG data using representation learning and biometric identification.

Ramin Ghorbani, Marcel J. T. Reinders, David M. J. Tax

Biomed. Signal Process. Control., 2024

RESTAD: Reconstruction and Similarity Based Transformer for Time Series Anomaly Detection.

Ramin Ghorbani, Marcel J. T. Reinders, David M. J. Tax

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

PATE: Proximity-Aware Time Series Anomaly Evaluation.

Ramin Ghorbani, Marcel J. T. Reinders, David M. J. Tax

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Learning from Scenarios for Repairable Stochastic Scheduling.

Kim van den Houten, David M. J. Tax, Esteban Freydell, Mathijs de Weerdt

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2024

2023

Continual prune-and-select: class-incremental learning with specialized subnetworks.

Aleksandr Dekhovich, David M. J. Tax, Marcel H. F. Sluiter, Miguel A. Bessa

Appl. Intell., July, 2023

Detecting outliers from pairwise proximities: Proximity isolation forests.

Antonella Mensi, David M. J. Tax, Manuele Bicego

Pattern Recognit., June, 2023

Learning From Scenarios for Stochastic Repairable Scheduling.

Kim van den Houten, David M. J. Tax, Esteban Freydell, Mathijs de Weerdt

CoRR, 2023

Improving performance of heart rate time series classification by grouping subjects.

Michael Beekhuizen, Arman Naseri, David M. J. Tax, Ivo van der Bilt, Marcel J. T. Reinders

CoRR, 2023

iPINNs: Incremental learning for Physics-informed neural networks.

Aleksandr Dekhovich, Marcel H. F. Sluiter, David M. J. Tax, Miguel A. Bessa

CoRR, 2023

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

Proceedings of the Winter Simulation Conference, 2023

Self-Supervised PPG Representation Learning Shows High Inter-Subject Variability.

Ramin Ghorbani, Marcel J. T. Reinders, David M. J. Tax

Proceedings of the 8th International Conference on Machine Learning Technologies, 2023

A Review of Nonconformity Measures for Conformal Prediction in Regression.

Yuko Kato, David M. J. Tax, Marco Loog

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023

2022

A Spatiotemporal Deep Neural Network Useful for Defect Identification and Reconstruction of Artworks Using Infrared Thermography.

Morteza Moradi, Ramin Ghorbani, Stefano Sfarra, David M. J. Tax, Dimitrios Zarouchas

Sensors, 2022

Conversation Group Detection With Spatio-Temporal Context.

Stephanie Tan, David M. J. Tax, Hayley Hung

Proceedings of the International Conference on Multimodal Interaction, 2022

A View on Model Misspecification in Uncertainty Quantification.

Yuko Kato, David M. J. Tax, Marco Loog

Proceedings of the Artificial Intelligence and Machine Learning, 2022

2021

Sem2Vec: Semantic Word Vectors with Bidirectional Constraint Propagations.

Taygun Kekeç, David M. J. Tax

IEEE Trans. Knowl. Data Eng., 2021

Multimodal Joint Head Orientation Estimation in Interacting Groups via Proxemics and Interaction Dynamics.

Stephanie Tan, David M. J. Tax, Hayley Hung

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Head and Body Orientation Estimation with Sparse Weak Labels in Free Standing Conversational Settings.

Stephanie Tan, David M. J. Tax, Hayley Hung

Proceedings of the ChaLearn LAP Challenge on Understanding Social Behavior in Dyadic and Small Group Interactions, 2021

2020

Gestures In-The-Wild: Detecting Conversational Hand Gestures in Crowded Scenes Using a Multimodal Fusion of Bags of Video Trajectories and Body Worn Acceleration.

Laura Cabrera Quiros, David M. J. Tax, Hayley Hung

IEEE Trans. Multim., 2020

Attended End-to-End Architecture for Age Estimation From Facial Expression Videos.

Wenjie Pei, Hamdi Dibeklioglu, Tadas Baltrusaitis, David M. J. Tax

IEEE Trans. Image Process., 2020

A Brief Prehistory of Double Descent.

Marco Loog, Tom J. Viering, Alexander Mey, Jesse H. Krijthe, David M. J. Tax

CoRR, 2020

An Alternative Exploitation of Isolation Forests for Outlier Detection.

Antonella Mensi, Alessio Franzoni, David M. J. Tax, Manuele Bicego

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

Proximity Isolation Forests.

Antonella Mensi, Manuele Bicego, David M. J. Tax

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

A dissimilarity-based multiple instance learning approach for protein remote homology detection.

Antonella Mensi, Manuele Bicego, Pietro Lovato, Marco Loog, David M. J. Tax

Pattern Recognit. Lett., 2019

Boosted negative sampling by quadratically constrained entropy maximization.

Taygun Kekeç, David Mimno, David M. J. Tax

Pattern Recognit. Lett., 2019

LEAFAGE: Example-based and Feature importance-based Explanations for Black-box ML models.

Ajaya Adhikari, David M. J. Tax, Riccardo Satta, Matthias Faeth

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018

Multivariate Time-Series Classification Using the Hidden-Unit Logistic Model.

Wenjie Pei, Hamdi Dibeklioglu, David M. J. Tax, Laurens van der Maaten

IEEE Trans. Neural Networks Learn. Syst., 2018

Example and Feature importance-based Explanations for Black-box Machine Learning Models.

Ajaya Adhikari, David M. J. Tax, Riccardo Satta, Matthias Faeth

CoRR, 2018

Unsupervised Learning of Sequence Representations by Autoencoders.

Wenjie Pei, David M. J. Tax

CoRR, 2018

Protein Remote Homology Detection Using Dissimilarity-Based Multiple Instance Learning.

Antonella Mensi, Manuele Bicego, Pietro Lovato, Marco Loog, David M. J. Tax

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

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

Proceedings of the Group Interaction Frontiers in Technology Workshop, 2018

PAWE: Polysemy Aware Word Embeddings.

Taygun Kekeç, Laurens van der Maaten, David M. J. Tax

Proceedings of the 2nd International Conference on Information System and Data Mining, 2018

2017

Temporal Attention-Gated Model for Robust Sequence Classification.

Wenjie Pei, Tadas Baltrusaitis, David M. J. Tax, Louis-Philippe Morency

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Interacting Attention-gated Recurrent Networks for Recommendation.

Wenjie Pei, Jie Yang, Zhu Sun, Jie Zhang, Alessandro Bozzon, David M. J. Tax

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Dissimilarity-Based Ensembles for Multiple Instance Learning.

Veronika Cheplygina, David M. J. Tax, Marco Loog

IEEE Trans. Neural Networks Learn. Syst., 2016

'It is Time to Prepare the Next patient' Real-Time Prediction of Procedure Duration in Laparoscopic Cholecystectomies.

Annetje C. P. Guédon, M. Paalvast, F. 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

J. Medical Syst., 2016

Novelty detection and multi-class classification in power distribution voltage waveforms.

André Eugênio Lazzaretti, David Martinus Johannes Tax, Hugo Vieira Neto, Vitor Hugo Ferreira

Expert Syst. Appl., 2016

Survey on the attention based RNN model and its applications in computer vision.

Feng Wang, David M. J. Tax

CoRR, 2016

Modeling Time Series Similarity with Siamese Recurrent Networks.

Wenjie Pei, David M. J. Tax, Laurens van der Maaten

CoRR, 2016

The Similarity Between Dissimilarities.

David M. J. Tax, Veronika Cheplygina, Robert P. W. Duin, Jan van de Poll

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

Class-dependent, non-convex losses to optimize precision.

David M. J. Tax, Feng Wang

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Regularizing AdaBoost with validation sets of increasing size.

Dirk W. J. Meijer, David M. J. Tax

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Robust Gram Embeddings.

Taygun Kekeç, David M. J. Tax

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015

On classification with bags, groups and sets.

Veronika Cheplygina, David M. J. Tax, Marco Loog

Pattern Recognit. Lett., 2015

Multiple instance learning with bag dissimilarities.

Veronika Cheplygina, David M. J. Tax, Marco Loog

Pattern Recognit., 2015

Single- vs. multiple-instance classification.

Ethem Alpaydin, Veronika Cheplygina, Marco Loog, David M. J. Tax

Pattern Recognit., 2015

Time Series Classification using the Hidden-Unit Logistic Model.

Wenjie Pei, Hamdi Dibeklioglu, David M. J. Tax, Laurens van der Maaten

CoRR, 2015

An Adaptive Radial Basis Function Kernel for Support Vector Data Description.

André Eugênio Lazzaretti, David M. J. Tax

Proceedings of the Similarity-Based Pattern Recognition - Third International Workshop, 2015

Characterizing Multiple Instance Datasets.

Veronika Cheplygina, David M. J. Tax

Proceedings of the Similarity-Based Pattern Recognition - Third International Workshop, 2015

Label Stability in Multiple Instance Learning.

Veronika Cheplygina, Lauge Sørensen, David M. J. Tax, Marleen de Bruijne, Marco Loog

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Real-time estimation of surgical procedure duration.

A. C. P. Guédon, M. Paalvast, F. 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

Proceedings of the 17th International Conference on E-health Networking, 2015

2014

Quantile Representation for Indirect Immunofluorescence Image Classification.

David M. J. Tax, Veronika Cheplygina, Marco Loog

CoRR, 2014

Evaluating Classification Performance with only Positive and Unlabeled Samples.

Siamak Hajizadeh, Zili Li, Rolf P. B. J. Dollevoet, David M. J. Tax

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2014

Network-Guided Group Feature Selection for Classification of Autism Spectrum Disorder.

Veronika Cheplygina, David M. J. Tax, Marco Loog, Aasa Feragen

Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

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

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Classification of COPD with Multiple Instance Learning.

Veronika Cheplygina, Lauge Sørensen, David M. J. Tax, Jesper Johannes Holst Pedersen, Marco Loog, Marleen de Bruijne

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

Multiple-instance learning as a classifier combining problem.

Yan Li, David M. J. Tax, Robert P. W. Duin, Marco Loog

Pattern Recognit., 2013

On the Informativeness of Asymmetric Dissimilarities.

Yenisel Plasencia Calana, Veronika Cheplygina, Robert P. W. Duin, Edel B. García Reyes, Mauricio Orozco-Alzate, David M. J. Tax, Marco Loog

Proceedings of the Similarity-Based Pattern Recognition - Second International Workshop, 2013

The Link between Multiple-Instance Learning and Learning from Only Positive and Unlabelled Examples.

Yan Li, David M. J. Tax, Robert P. W. Duin, Marco Loog

Proceedings of the Multiple Classifier Systems, 11th International Workshop, 2013

Combining Instance Information to Classify Bags.

Veronika Cheplygina, David M. J. Tax, Marco Loog

Proceedings of the Multiple Classifier Systems, 11th International Workshop, 2013

Online face recognition and learning for cognitive robots.

Floris Gaisser, Maja Rudinac, Pieter P. Jonker, David M. J. Tax

Proceedings of the 16th International Conference on Advanced Robotics, 2013

2012

Scale selection for supervised image segmentation.

Yan Li, David M. J. Tax, Marco Loog

Image Vis. Comput., 2012

Bridging Structure and Feature Representations in Graph Matching.

Wan-Jui Lee, Veronika Cheplygina, David M. J. Tax, Marco Loog, Robert P. W. Duin

Int. J. Pattern Recognit. Artif. Intell., 2012

Class-Dependent Dissimilarity Measures for Multiple Instance Learning.

Veronika Cheplygina, David M. J. Tax, Marco Loog

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

A structure-based video representation for web video categorization.

Peng Xu, David M. J. Tax, Alan Hanjalic

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Does one rotten apple spoil the whole barrel?

Veronika Cheplygina, David M. J. Tax, Marco Loog

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Qualitative Evaluation of Detection and Tracking Performance.

Swaminathan Sankaranarayanan, François Brémond, David M. J. Tax

Proceedings of the Ninth IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2012

2011

Question Classification by Weighted Combination of Lexical, Syntactic and Semantic Features.

Babak Loni, Gijs van Tulder, Pascal Wiggers, David M. J. Tax, Marco Loog

Proceedings of the Text, Speech and Dialogue - 14th International Conference, 2011

Bag Dissimilarities for Multiple Instance Learning.

David M. J. Tax, Marco Loog, Robert P. W. Duin, Veronika Cheplygina, Wan-Jui Lee

Proceedings of the Similarity-Based Pattern Recognition - First International Workshop, 2011

Supervised Scale-Invariant Segmentation (and Detection).

Yan Li, David M. J. Tax, Marco Loog

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

TUD-MM at MediaEval 2011 Genre Tagging Task: Video search reranking for genre tagging.

Peng Xu, David M. J. Tax, Alan Hanjalic

Proceedings of the Working Notes Proceedings of the MediaEval 2011 Workshop, 2011

Pruned Random Subspace Method for One-Class Classifiers.

Veronika Cheplygina, David M. J. Tax

Proceedings of the Multiple Classifier Systems - 10th International Workshop, 2011

2010

Dissimilarity-Based Multiple Instance Learning.

Lauge Sørensen, Marco Loog, David M. J. Tax, Wan-Jui Lee, Marleen de Bruijne, Robert P. W. Duin

Proceedings of the Structural, 2010

The Detection of Concept Frames Using Clustering Multi-instance Learning.

David M. J. Tax, E. Hendriks, Michel François Valstar, Maja Pantic

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Feature-Based Dissimilarity Space Classification.

Robert P. W. Duin, Marco Loog, Elzbieta Pekalska, David M. J. Tax

Proceedings of the Recognizing Patterns in Signals, Speech, Images and Videos, 2010

2009

Component-based discriminative classification for hidden Markov models.

Manuele Bicego, Elzbieta Pekalska, David M. J. Tax, Robert P. W. Duin

Pattern Recognit., 2009

Dissimilarity-based classification in the absence of local ground truth: Application to the diagnostic interpretation of chest radiographs.

Yulia Arzhaeva, David M. J. Tax, Bram van Ginneken

Pattern Recognit., 2009

Minimum spanning tree based one-class classifier.

Piotr Juszczak, David M. J. Tax, Elzbieta Pekalska, Robert P. W. Duin

Neurocomputing, 2009

Optimal Mean-Precision Classifier.

David M. J. Tax, Marco Loog, Robert P. W. Duin

Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009

Maximum Membership Scale Selection.

Marco Loog, Yan Li, David M. J. Tax

Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009

2008

Growing a multi-class classifier with a reject option.

David M. J. Tax, Robert P. W. Duin

Pattern Recognit. Lett., 2008

Subclass Problem-Dependent Design for Error-Correcting Output Codes.

Sergio Escalera, David M. J. Tax, Oriol Pujol, Petia Radeva, Robert P. W. Duin

IEEE Trans. Pattern Anal. Mach. Intell., 2008

Learning Curves for the Analysis of Multiple Instance Classifiers.

David M. J. Tax, Robert P. W. Duin

Proceedings of the Structural, 2008

A Fast Approach to Improve Classification Performance of ECOC Classification Systems.

Paolo Simeone, David M. J. Tax, Robert P. W. Duin, Francesco Tortorella

Proceedings of the Structural, 2008

2006

The interaction between classification and reject performance for distance-based reject-option classifiers.

Thomas C. W. Landgrebe, David M. J. Tax, Pavel Paclík, Robert P. W. Duin

Pattern Recognit. Lett., 2006

From outliers to prototypes: Ordering data.

Stefan Harmeling, Guido Dornhege, David M. J. Tax, Frank C. Meinecke, Klaus-Robert Müller

Neurocomputing, 2006

Outlier Detection Using Ball Descriptions with Adjustable Metric.

David M. J. Tax, Piotr Juszczak, Elzbieta Pekalska, Robert P. W. Duin

Proceedings of the Structural, 2006

Improving computer-aided diagnosis of interstitial disease in chest radiographs by combining one-class and two-class classifiers.

Yulia Arzhaeva, David M. J. Tax, Bram van Ginneken

Proceedings of the Medical Imaging 2006: Image Processing, 2006

Linear model combining by optimizing the Area under the ROC curve.

David M. J. Tax, Robert P. W. Duin

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Domain Based LDA and QDA.

Piotr Juszczak, David M. J. Tax, Serguei Verzakov, Robert P. W. Duin

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

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

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2005

LESS: A Model-Based Classifier for Sparse Subspaces.

Cor J. Veenman, David M. J. Tax

IEEE Trans. Pattern Anal. Mach. Intell., 2005

On Deriving the Second-Stage Training Set for Trainable Combiners.

Pavel Paclík, Thomas C. W. Landgrebe, David M. J. Tax, Robert P. W. Duin

Proceedings of the Multiple Classifier Systems, 6th International Workshop, 2005

Optimising Two-Stage Recognition Systems.

Thomas C. W. Landgrebe, Pavel Paclík, David M. J. Tax, Robert P. W. Duin

Proceedings of the Multiple Classifier Systems, 6th International Workshop, 2005

A Weighted Nearest Mean Classifier for Sparse Subspaces.

Cor J. Veenman, David M. J. Tax

Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Turning the hyperparameter of an AUC-optimized classifier.

David M. J. Tax, Cor J. Veenman

Proceedings of the BNAIC 2005, 2005

2004

Support Vector Data Description.

David M. J. Tax, Robert P. W. Duin

Mach. Learn., 2004

A Study On Combining Image Representations For Image Classification And Retrieval.

Carmen Lai, David M. J. Tax, Robert P. W. Duin, Elzbieta Pekalska, Pavel Paclík

Int. J. Pattern Recognit. Artif. Intell., 2004

Cost-Based Classifier Evaluation for Imbalanced Problems.

Thomas C. W. Landgrebe, Pavel Paclík, David M. J. Tax, Serguei Verzakov, Robert P. W. Duin

Proceedings of the Structural, 2004

A Consistency-Based Model Selection for One-Class Classification.

David M. J. Tax, Klaus-Robert Müller

Proceedings of the 17th International Conference on Pattern Recognition, 2004

The Characterization of Classification Problems by Classifier Disagreements.

Robert P. W. Duin, Elzbieta Pekalska, David M. J. Tax

Proceedings of the 17th International Conference on Pattern Recognition, 2004

Visual Object Recognition Through One-Class Learning.

QingHua Wang, Luís Seabra Lopes, David M. J. Tax

Proceedings of the Image Analysis and Recognition: International Conference, 2004

2003

Kernel Whitening for One-Class Classification.

David M. J. Tax, Piotr Juszczak

Int. J. Pattern Recognit. Artif. Intell., 2003

Online SVM learning: from classification to data description and back.

David M. J. Tax, Pavel Laskov

Proceedings of the NNSP 2003, 2003

Feature Extraction for One-Class Classification.

David M. J. Tax, Klaus-Robert Müller

Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002

One-Class LP Classifiers for Dissimilarity Representations.

Elzbieta Pekalska, David M. J. Tax, Robert P. W. Duin

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

On Combining One-Class Classifiers for Image Database Retrieval.

Carmen Lai, David M. J. Tax, Robert P. W. Duin, Elzbieta Pekalska, Pavel Paclík

Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002

Using Two-Class Classifiers for Multiclass Classification.

David M. J. Tax, Robert P. W. Duin

Proceedings of the 16th International Conference on Pattern Recognition, 2002

2001

Uniform Object Generation for Optimizing One-class Classifiers.

David M. J. Tax, Robert P. W. Duin

J. Mach. Learn. Res., 2001

Combining One-Class Classifiers.

David M. J. Tax, Robert P. W. Duin

Proceedings of the Multiple Classifier Systems, Second International Workshop, 2001

2000

Combining multiple classifiers by averaging or by multiplying?

David M. J. Tax, Martijn van Breukelen, Robert P. W. Duin, Josef Kittler

Pattern Recognit., 2000

Experiments with Classifier Combining Rules.

Robert P. W. Duin, David M. J. Tax

Proceedings of the Multiple Classifier Systems, First International Workshop, 2000

Data Description in Subspaces.

David M. J. Tax, Robert P. W. Duin

Proceedings of the 15th International Conference on Pattern Recognition, 2000

1999

Support vector domain description.

David M. J. Tax, Robert P. W. Duin

Pattern Recognit. Lett., 1999

Pump Failure Detection Using Support Vector Data Descriptions.

David M. J. Tax, Alexander Ypma, Robert P. W. Duin

Proceedings of the Advances in Intelligent Data Analysis, Third International Symposium, 1999

Data domain description using support vectors.

David M. J. Tax, Robert P. W. Duin

Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

1998

Featureless pattern classification.

Robert P. W. Duin, Dick de Ridder, David M. J. Tax

Kybernetika, 1998

Handwritten digit recognition by combined classifiers.

Martijn van Breukelen, Robert P. W. Duin, David M. J. Tax, J. E. den Hartog

Kybernetika, 1998

Outlier Detection Using Classifier Instability.

David M. J. Tax, Robert P. W. Duin

Proceedings of the Advances in Pattern Recognition, 1998

Classifier Conditional Posterior Probabilities.

Robert P. W. Duin, David M. J. Tax

Proceedings of the Advances in Pattern Recognition, 1998

1997

Experiments with a featureless approach to pattern recognition.

Robert P. W. Duin, Dick de Ridder, David M. J. Tax

Pattern Recognit. Lett., 1997

1996

Learning Structure with Many-Take-All Networks.

David M. J. Tax, Hilbert J. Kappen

Proceedings of the Artificial Neural Networks, 1996