David M. J. Tax

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 56

Top Venues

CoRR

ICPR

S+SSPR

Pattern Recognit. Lett.

Publications

M. Naderibeni, Marcel J. T. Reinders, L. Wu, David M. J. Tax
Learning solutions of parametric Navier-Stokes with physics-informed neural networks. CoRR (2024)
Ramin Ghorbani, Marcel J. T. Reinders, David M. J. Tax
PATE: Proximity-Aware Time Series Anomaly Evaluation. KDD (2024)
Ramin Ghorbani, Marcel J. T. Reinders, David M. J. Tax
RESTAD: REconstruction and Similarity based Transformer for time series Anomaly Detection. CoRR (2024)
Ramin Ghorbani, Marcel J. T. Reinders, David M. J. Tax
PATE: Proximity-Aware Time series anomaly Evaluation. CoRR (2024)
Kim van den Houten, David M. J. Tax, Esteban Freydell, Mathijs de Weerdt
Learning from Scenarios for Repairable Stochastic Scheduling. CPAIOR (2) (2024)
Aleksandr Dekhovich, David M. J. Tax, Marcel H. F. Sluiter, Miguel A. Bessa
Neural network relief: a pruning algorithm based on neural activity. Mach. Learn. 113 (5) (2024)
Ramin Ghorbani, Marcel J. T. Reinders, David M. J. Tax
Personalized anomaly detection in PPG data using representation learning and biometric identification. Biomed. Signal Process. Control. 94 (2024)
Ramin Ghorbani, Marcel J. T. Reinders, David M. J. Tax
Self-Supervised PPG Representation Learning Shows High Inter-Subject Variability. ICMLT (2023)
Kim van den Houten, Mathijs de Weerdt, David M. J. Tax, Esteban Freydell, Eva Christoupoulou, Alessandro Nati
Rolling-Horizon Simulation Optimization For A Multi-Objective Biomanufacturing Scheduling Problem. WSC (2023)
Kim van den Houten, David M. J. Tax, Esteban Freydell, Mathijs de Weerdt
Learning From Scenarios for Stochastic Repairable Scheduling. CoRR (2023)
Yuko Kato, David M. J. Tax, Marco Loog
A Review of Nonconformity Measures for Conformal Prediction in Regression. COPA (2023)
Ramin Ghorbani, Marcel J. T. Reinders, David M. J. Tax
Personalized Anomaly Detection in PPG Data using Representation Learning and Biometric Identification. CoRR (2023)
Antonella Mensi, David M. J. Tax, Manuele Bicego
Detecting outliers from pairwise proximities: Proximity isolation forests. Pattern Recognit. 138 (2023)
Aleksandr Dekhovich, David M. J. Tax, Marcel H. F. Sluiter, Miguel A. Bessa
Continual prune-and-select: class-incremental learning with specialized subnetworks. Appl. Intell. 53 (14) (2023)
Aleksandr Dekhovich, Marcel H. F. Sluiter, David M. J. Tax, Miguel A. Bessa
iPINNs: Incremental learning for Physics-informed neural networks. CoRR (2023)
Stephanie Tan, David M. J. Tax, Hayley Hung
Conversation Group Detection With Spatio-Temporal Context. ICMI (2022)
Ramin Ghorbani, Marcel J. T. Reinders, David M. J. Tax
Self-Supervised PPG Representation Learning Shows High Inter-Subject Variability. CoRR (2022)
Stephanie Tan, David M. J. Tax, Hayley Hung
Conversation Group Detection With Spatio-Temporal Context. CoRR (2022)
Aleksandr Dekhovich, David M. J. Tax, Marcel H. F. Sluiter, Miguel A. Bessa
Continual Prune-and-Select: Class-incremental learning with specialized subnetworks. CoRR (2022)
Morteza Moradi, Ramin Ghorbani, Stefano Sfarra, David M. J. Tax, Dimitrios Zarouchas
A Spatiotemporal Deep Neural Network Useful for Defect Identification and Reconstruction of Artworks Using Infrared Thermography. Sensors 22 (23) (2022)
Yuko Kato, David M. J. Tax, Marco Loog
A view on model misspecification in uncertainty quantification. CoRR (2022)
Yuko Kato, David M. J. Tax, Marco Loog
A View on Model Misspecification in Uncertainty Quantification. BNAIC/BENELEARN (2022)
Aleksandr Dekhovich, David M. J. Tax, Marcel H. F. Sluiter, Miguel A. Bessa
Neural network relief: a pruning algorithm based on neural activity. CoRR (2021)
Stephanie Tan, David M. J. Tax, Hayley Hung
Multimodal Joint Head Orientation Estimation in Interacting Groups via Proxemics and Interaction Dynamics. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5 (1) (2021)
Taygun Kekeç, David M. J. Tax
Sem2Vec: Semantic Word Vectors with Bidirectional Constraint Propagations. IEEE Trans. Knowl. Data Eng. 33 (4) (2021)
Stephanie Tan, David M. J. Tax, Hayley Hung
Head and Body Orientation Estimation with Sparse Weak Labels in Free Standing Conversational Settings. DYAD@ICCV (2021)
Wenjie Pei, Hamdi Dibeklioglu, Tadas Baltrusaitis, David M. J. Tax
Attended End-to-End Architecture for Age Estimation From Facial Expression Videos. IEEE Trans. Image Process. 29 (2020)
Laura Cabrera Quiros, David M. J. Tax, Hayley Hung
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. 22 (1) (2020)
Antonella Mensi, Alessio Franzoni, David M. J. Tax, Manuele Bicego
An Alternative Exploitation of Isolation Forests for Outlier Detection. S+SSPR (2020)
Antonella Mensi, Manuele Bicego, David M. J. Tax
Proximity Isolation Forests. ICPR (2020)
Marco Loog, Tom J. Viering, Alexander Mey, Jesse H. Krijthe, David M. J. Tax
A Brief Prehistory of Double Descent. CoRR (2020)
Taygun Kekeç, David Mimno, David M. J. Tax
Boosted negative sampling by quadratically constrained entropy maximization. Pattern Recognit. Lett. 125 (2019)
Antonella Mensi, Manuele Bicego, Pietro Lovato, Marco Loog, David M. J. Tax
A dissimilarity-based multiple instance learning approach for protein remote homology detection. Pattern Recognit. Lett. 128 (2019)
Ajaya Adhikari, David M. J. Tax, Riccardo Satta, Matthias Faeth
LEAFAGE: Example-based and Feature importance-based Explanations for Black-box ML models. FUZZ-IEEE (2019)
Stephanie Tan, David M. J. Tax, Hayley Hung
Improving Temporal Interpolation of Head and Body Pose using Gaussian Process Regression in a Matrix Completion Setting. GIFT@ICMI (2018)
Wenjie Pei, Hamdi Dibeklioglu, David M. J. Tax, Laurens van der Maaten
Multivariate Time-Series Classification Using the Hidden-Unit Logistic Model. IEEE Trans. Neural Networks Learn. Syst. 29 (4) (2018)
Wenjie Pei, David M. J. Tax
Unsupervised Learning of Sequence Representations by Autoencoders. CoRR (2018)
Taygun Kekeç, Laurens van der Maaten, David M. J. Tax
PAWE: Polysemy Aware Word Embeddings. ICISDM (2018)
Ajaya Adhikari, David M. J. Tax, Riccardo Satta, Matthias Faeth
Example and Feature importance-based Explanations for Black-box Machine Learning Models. CoRR (2018)
Antonelli Mensi, Manuele Bicego, Pietro Lovato, Marco Loog, David M. J. Tax
Protein Remote Homology Detection Using Dissimilarity-Based Multiple Instance Learning. S+SSPR (2018)
Veronika Cheplygina, David M. J. Tax
Characterizing multiple instance datasets. CoRR (2018)
Wenjie Pei, Jie Yang, Zhu Sun, Jie Zhang, Alessandro Bozzon, David M. J. Tax
Interacting Attention-gated Recurrent Networks for Recommendation. CoRR (2017)
Wenjie Pei, Jie Yang, Zhu Sun, Jie Zhang, Alessandro Bozzon, David M. J. Tax
Interacting Attention-gated Recurrent Networks for Recommendation. CIKM (2017)
Veronika Cheplygina, Lauge Sørensen, David M. J. Tax, Marleen de Bruijne, Marco Loog
Label Stability in Multiple Instance Learning. CoRR (2017)
Wenjie Pei, Tadas Baltrusaitis, David M. J. Tax, Louis-Philippe Morency
Temporal Attention-Gated Model for Robust Sequence Classification. CVPR (2017)
Wenjie Pei, Hamdi Dibeklioglu, Tadas Baltrusaitis, David M. J. Tax
Attended End-to-end Architecture for Age Estimation from Facial Expression Videos. CoRR (2017)
Veronika Cheplygina, Lauge Sørensen, David M. J. Tax, Jesper Holst Pedersen, Marco Loog, Marleen de Bruijne
Classification of COPD with Multiple Instance Learning. CoRR (2017)
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
'It is Time to Prepare the Next patient' Real-Time Prediction of Procedure Duration in Laparoscopic Cholecystectomies. J. Medical Syst. 40 (12) (2016)
Feng Wang, David M. J. Tax
Survey on the attention based RNN model and its applications in computer vision. CoRR (2016)
Taygun Kekeç, David M. J. Tax
Robust Gram Embeddings. EMNLP (2016)
Dirk W. J. Meijer, David M. J. Tax
Regularizing AdaBoost with validation sets of increasing size. ICPR (2016)
Wenjie Pei, David M. J. Tax, Laurens van der Maaten
Modeling Time Series Similarity with Siamese Recurrent Networks. CoRR (2016)
Wenjie Pei, Tadas Baltrusaitis, David M. J. Tax, Louis-Philippe Morency
Temporal Attention-Gated Model for Robust Sequence Classification. CoRR (2016)
Veronika Cheplygina, David M. J. Tax, Marco Loog
Dissimilarity-Based Ensembles for Multiple Instance Learning. IEEE Trans. Neural Networks Learn. Syst. 27 (6) (2016)
David M. J. Tax, Veronika Cheplygina, Robert P. W. Duin, Jan van de Poll
The Similarity Between Dissimilarities. S+SSPR (2016)
David M. J. Tax, Feng Wang
Class-dependent, non-convex losses to optimize precision. ICPR (2016)
Veronika Cheplygina, David M. J. Tax, Marco Loog
On classification with bags, groups and sets. Pattern Recognit. Lett. 59 (2015)
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
Real-time estimation of surgical procedure duration. HealthCom (2015)
Veronika Cheplygina, David M. J. Tax
Characterizing Multiple Instance Datasets. SIMBAD (2015)
Veronika Cheplygina, David M. J. Tax, Marco Loog
Multiple instance learning with bag dissimilarities. Pattern Recognit. 48 (1) (2015)
Veronika Cheplygina, Lauge Sørensen, David M. J. Tax, Marleen de Bruijne, Marco Loog
Label Stability in Multiple Instance Learning. MICCAI (1) (2015)
Ethem Alpaydin, Veronika Cheplygina, Marco Loog, David M. J. Tax
Single- vs. multiple-instance classification. Pattern Recognit. 48 (9) (2015)
André Eugênio Lazzaretti, David M. J. Tax
An Adaptive Radial Basis Function Kernel for Support Vector Data Description. SIMBAD (2015)
Wenjie Pei, Hamdi Dibeklioglu, David M. J. Tax, Laurens van der Maaten
Time Series Classification using the Hidden-Unit Logistic Model. CoRR (2015)
Veronika Cheplygina, David M. J. Tax, Marco Loog, Aasa Feragen
Network-Guided Group Feature Selection for Classification of Autism Spectrum Disorder. MLMI (2014)
Veronika Cheplygina, David M. J. Tax, Marco Loog
Dissimilarity-based Ensembles for Multiple Instance Learning. CoRR (2014)
David M. J. Tax, Veronika Cheplygina, Marco Loog
Quantile Representation for Indirect Immunofluorescence Image Classification. CoRR (2014)
Siamak Hajizadeh, Zili Li, Rolf P. B. J. Dollevoet, David M. J. Tax
Evaluating Classification Performance with only Positive and Unlabeled Samples. S+SSPR (2014)
Veronika Cheplygina, David M. J. Tax, Marco Loog
On Classification with Bags, Groups and Sets. CoRR (2014)
Veronika Cheplygina, Lauge Sørensen, David M. J. Tax, Jesper Johannes Holst Pedersen, Marco Loog, Marleen de Bruijne
Classification of COPD with Multiple Instance Learning. ICPR (2014)
David M. J. Tax, Herman M. J. Sontrop, Marcel J. T. Reinders, Perry D. Moerland
The Effect of Aggregating Subtype Performances Depends Strongly on the Performance Measure Used. ICPR (2014)
Yan Li, David M. J. Tax, Robert P. W. Duin, Marco Loog
The Link between Multiple-Instance Learning and Learning from Only Positive and Unlabelled Examples. MCS (2013)
Floris Gaisser, Maja Rudinac, Pieter P. Jonker, David M. J. Tax
Online face recognition and learning for cognitive robots. ICAR (2013)
Yenisel Plasencia Calana, Veronika Cheplygina, Robert P. W. Duin, Edel B. García Reyes, Mauricio Orozco-Alzate, David M. J. Tax, Marco Loog
On the Informativeness of Asymmetric Dissimilarities. SIMBAD (2013)
Veronika Cheplygina, David M. J. Tax, Marco Loog
Combining Instance Information to Classify Bags. MCS (2013)
Veronika Cheplygina, David M. J. Tax, Marco Loog
Multiple Instance Learning with Bag Dissimilarities. CoRR (2013)
Yan Li, David M. J. Tax, Robert P. W. Duin, Marco Loog
Multiple-instance learning as a classifier combining problem. Pattern Recognit. 46 (3) (2013)
Yan Li, David M. J. Tax, Marco Loog
Scale selection for supervised image segmentation. Image Vis. Comput. 30 (12) (2012)
Veronika Cheplygina, David M. J. Tax, Marco Loog
Class-Dependent Dissimilarity Measures for Multiple Instance Learning. SSPR/SPR (2012)
Veronika Cheplygina, David M. J. Tax, Marco Loog
Does one rotten apple spoil the whole barrel? ICPR (2012)
Wan-Jui Lee, Veronika Cheplygina, David M. J. Tax, Marco Loog, Robert P. W. Duin
Bridging Structure and Feature Representations in Graph Matching. Int. J. Pattern Recognit. Artif. Intell. 26 (5) (2012)
Peng Xu, David M. J. Tax, Alan Hanjalic
A structure-based video representation for web video categorization. ICPR (2012)
Swaminathan Sankaranarayanan, François Brémond, David M. J. Tax
Qualitative Evaluation of Detection and Tracking Performance. AVSS (2012)
Veronika Cheplygina, David M. J. Tax
Pruned Random Subspace Method for One-Class Classifiers. MCS (2011)
Yan Li, David M. J. Tax, Marco Loog
Supervised Scale-Invariant Segmentation (and Detection). SSVM (2011)
David M. J. Tax, Marco Loog, Robert P. W. Duin, Veronika Cheplygina, Wan-Jui Lee
Bag Dissimilarities for Multiple Instance Learning. SIMBAD (2011)
Peng Xu, David M. J. Tax, Alan Hanjalic
TUD-MM at MediaEval 2011 Genre Tagging Task: Video search reranking for genre tagging. MediaEval (2011)
Babak Loni, Gijs van Tulder, Pascal Wiggers, David M. J. Tax, Marco Loog
Question Classification by Weighted Combination of Lexical, Syntactic and Semantic Features. TSD (2011)
Lauge Sørensen, Marco Loog, David M. J. Tax, Wan-Jui Lee, Marleen de Bruijne, Robert P. W. Duin
Dissimilarity-Based Multiple Instance Learning. SSPR/SPR (2010)
Robert P. W. Duin, Marco Loog, Elzbieta Pekalska, David M. J. Tax
Feature-Based Dissimilarity Space Classification. ICPR Contests (2010)
David M. J. Tax, E. Hendriks, Michel François Valstar, Maja Pantic
The Detection of Concept Frames Using Clustering Multi-instance Learning. ICPR (2010)
Piotr Juszczak, David M. J. Tax, Elzbieta Pekalska, Robert P. W. Duin
Minimum spanning tree based one-class classifier. Neurocomputing 72 (7-9) (2009)
Yulia Arzhaeva, David M. J. Tax, Bram van Ginneken
Dissimilarity-based classification in the absence of local ground truth: Application to the diagnostic interpretation of chest radiographs. Pattern Recognit. 42 (9) (2009)
David M. J. Tax, Marco Loog, Robert P. W. Duin
Optimal Mean-Precision Classifier. MCS (2009)
Manuele Bicego, Elzbieta Pekalska, David M. J. Tax, Robert P. W. Duin
Component-based discriminative classification for hidden Markov models. Pattern Recognit. 42 (11) (2009)
Marco Loog, Yan Li, David M. J. Tax
Maximum Membership Scale Selection. MCS (2009)
David M. J. Tax, Robert P. W. Duin
Learning Curves for the Analysis of Multiple Instance Classifiers. SSPR/SPR (2008)
David M. J. Tax, Robert P. W. Duin
Growing a multi-class classifier with a reject option. Pattern Recognit. Lett. 29 (10) (2008)
Paolo Simeone, David M. J. Tax, Robert P. W. Duin, Francesco Tortorella
A Fast Approach to Improve Classification Performance of ECOC Classification Systems. SSPR/SPR (2008)
Sergio Escalera, David M. J. Tax, Oriol Pujol, Petia Radeva, Robert P. W. Duin
Subclass Problem-Dependent Design for Error-Correcting Output Codes. IEEE Trans. Pattern Anal. Mach. Intell. 30 (6) (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

David M. J. Tax