David Tax
Technische Universiteit Delft
H-index: 52
Europe-Netherlands
Top articles of David Tax
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Neural network relief: a pruning algorithm based on neural activity | Machine Learning | Aleksandr Dekhovich David MJ Tax Marcel HF Sluiter Miguel A Bessa | 2024/3/5 |
Learning solutions of parametric Navier-Stokes with physics-informed neural networks | arXiv preprint arXiv:2402.03153 | Mahdi Naderibeni Marcel JT Reinders Liang Wu David MJ Tax | 2024/2/5 |
An electroencephalography-based sleep index and supervised machine learning as a suitable tool for automated sleep classification in children | Journal of Clinical Sleep Medicine | Eris van Twist Floor W Hiemstra Arnout BG Cramer Sascha CAT Verbruggen David MJ Tax | 2024/3/1 |
Personalized anomaly detection in PPG data using representation learning and biometric identification | Biomedical Signal Processing and Control | Ramin Ghorbani Marcel JT Reinders David MJ Tax | 2024/8/1 |
Improving performance of heart rate time series classification by grouping subjects | arXiv preprint arXiv:2311.13285 | Michael Beekhuizen Arman Naseri David Tax Ivo van der Bilt Marcel Reinders | 2023/11/22 |
iPINNs: Incremental learning for Physics-informed neural networks | arXiv preprint arXiv:2304.04854 | Aleksandr Dekhovich Marcel HF Sluiter David MJ Tax Miguel A Bessa | 2023/4/10 |
Time Series Anomaly Detection using Reconstruction and RBF Similarity Scores | Ramin Ghorbani Marcel Reinders David Tax | 2023/10/13 | |
Self-supervised ppg representation learning shows high inter-subject variability | Ramin Ghorbani Marcel JT Reinders David MJ Tax | 2023/3/10 | |
A review of nonconformity measures for conformal prediction in regression | Yuko Kato David MJ Tax Marco Loog | 2023/8/17 | |
Benchmarking Outlier Detection Methods for Detecting IEM Patients in Untargeted Metabolomics Data | Metabolites | Michiel Bongaerts Purva Kulkarni Alan Zammit Ramon Bonte Leo AJ Kluijtmans | 2023/1/7 |
Rolling-Horizon Simulation Optimization For A Multi-Objective Biomanufacturing Scheduling Problem | Kim Van Den Houten Mathijs De Weerdt David MJ Tax Esteban Freydell Eva Christoupoulou | 2023/12/10 | |
Blue ice in Antarctica: The gateway to travel in time and space | Veronica Tollenaar Harry Zekollari Devis Tuia Marc Rußwurm Benjamin Kellenberger | 2023 | |
Continual prune-and-select: class-incremental learning with specialized subnetworks | Applied Intelligence | Aleksandr Dekhovich David MJ Tax Marcel HF Sluiter Miguel A Bessa | 2023/7 |
Learning From Scenarios for Stochastic Repairable Scheduling | arXiv preprint arXiv:2312.03492 | Kim van den Houten David MJ Tax Esteban Freydell Mathijs de Weerdt | 2023/12/6 |
Data-efficient machine learning methods in the ME-TIME study: Rationale and design of a longitudinal study to detect atrial fibrillation and heart failure from wearables | Cardiovascular Digital Health Journal | Arman Naseri David Tax Pim van der Harst Marcel Reinders Ivo van der Bilt | 2023/12/1 |
Detecting outliers from pairwise proximities: Proximity isolation forests | Pattern Recognition | Antonella Mensi David MJ Tax Manuele Bicego | 2023/6/1 |
Unexplored Antarctic meteorite collection sites revealed through machine learning | Science Advances | Veronica Tollenaar Harry Zekollari Stef Lhermitte David MJ Tax Vinciane Debaille | 2022/1/26 |
A view on model misspecification in uncertainty quantification | Yuko Kato David MJ Tax Marco Loog | 2022/11/7 | |
Machine learning for cardiovascular outcomes from wearable data: systematic review from a technology readiness level point of view | JMIR Med Inform | Arman Naseri Jahfari David Tax Marcel Reinders Ivo van der Bilt | 2022/1/19 |
Conversation group detection with spatio-temporal context | Stephanie Tan David MJ Tax Hayley Hung | 2022/11/7 |
