| Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations N Seedat, F Imrie, A Bellot, Z Qian, M van der Schaar ICML 2022 (39th International Conference on Machine Learning), 2022 | 32 | 2022 |
| Towards calibrated and scalable uncertainty representations for neural networks N Seedat, C Kanan NeurIPS 2019, 4th workshop on Bayesian Deep Learning, 2019 | 21 | 2019 |
| Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data N Seedat, J Crabbé, I Bica, M van der Schaar NeurIPS 2022 (36th Conference on Neural Information Processing Systems), 2022 | 18 | 2022 |
| Data-SUITE: Data-centric identification of in-distribution incongruous examples N Seedat, J Crabbe, M van der Schaar ICML 2022 (39th International Conference on Machine Learning), 2022 | 16 | 2022 |
| Dc-check: A data-centric ai checklist to guide the development of reliable machine learning systems N Seedat, F Imrie, M van der Schaar IEEE Transactions on Artificial Intelligence, 2022 | 12 | 2022 |
| Automated and interpretable m-health discrimination of vocal cord pathology enabled by machine learning N Seedat, V Aharonson, Y Hamzany 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering …, 2020 | 9 | 2020 |
| Automated machine vision enabled detection of movement disorders from hand drawn spirals N Seedat, V Aharonson, I Schlesinger 2020 IEEE International Conference on Healthcare Informatics (ICHI), 2020 | 9 | 2020 |
| What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization H Sun, B van Breugel, J Crabbe, N Seedat, M van der Schaar NeurIPS 2023 (37th Conference on Neural Information Processing Systems), 2023 | 6* | 2023 |
| MCU-Net: A framework towards uncertainty representations for decision support system patient referrals in healthcare contexts N Seedat ICML 2020 - UDL Workshop & KDD 2020 - Applied Data Science in Healthcare, 2020 | 5 | 2020 |
| Machine learning discrimination of Parkinson's Disease stages from walker-mounted sensors data N Seedat, V Aharonson Explainable AI in Healthcare and Medicine & AAAI 2020 - International …, 2020 | 5 | 2020 |
| Custom force sensor and sensory feedback system to enable grip control of a robotic prosthetic hand N Seedat, I Mohamed, AK Mohamed 2018 7th IEEE International Conference on Biomedical Robotics and …, 2018 | 5 | 2018 |
| Improving Adaptive Conformal Prediction Using Self-Supervised Learning N Seedat, A Jeffares, F Imrie, M van der Schaar AISTATS 2023 (International Conference on Artificial Intelligence …, 2023 | 4 | 2023 |
| Automated stage discrimination of Parkinson’s disease V Aharonson, N Seedat, S Israeli-Korn, S Hassin-Baer, M Postema, ... BIO Integration 1 (2), 55-63, 2020 | 4 | 2020 |
| A comparison of footfall detection algorithms from walker mounted sensors data N Seedat, D Beder, V Aharonson, S Dubowsky IEEE 2018 Electric Electronics, Computer Science, Biomedical Engineerings …, 2018 | 4 | 2018 |
| TRIAGE: Characterizing and auditing training data for improved regression N Seedat, J Crabbé, Z Qian, M van der Schaar NeurIPS 2023 (37th Conference on Neural Information Processing Systems), 2023 | 3 | 2023 |
| Feasibility of an instrumented walker to quantify treatment effects on Parkinson's patient gait V Aharonson, N Seedat, I Schlesinger, A McDonald, S Dubowsky, ... IEEE 2018 Electric Electronics, Computer Science, Biomedical Engineerings …, 2018 | 3 | 2018 |
| Large Language Models to Enhance Bayesian Optimization T Liu, N Astorga, N Seedat, M van der Schaar ICLR 2024 (12th International Conference on Learning Representations), 2024 | 2 | 2024 |
| Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data B van Breugel*, N Seedat*, F Imrie, M van der Schaar NeurIPS 2023 (37th Conference on Neural Information Processing Systems), 2023 | 2 | 2023 |
| U-PASS: An uncertainty-guided deep learning pipeline for automated sleep staging ERM Heremans, N Seedat, B Buyse, D Testelmans, M van der Schaar, ... Computers in Biology and Medicine, 108205, 2024 | 1 | 2024 |
| Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in ultra low-data regimes N Seedat, N Huynh, B van Breugel, M van der Schaar arXiv preprint arXiv:2312.12112, 2024 | 1 | 2024 |
Mihaela van der SchaarUniversity of Cambridge, The Alan Turing InstituteVerified email at ee.ucla.edu
