Seuraa
Nabeel Seedat
Nimike
Viittaukset
Viittaukset
Vuosi
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
542022
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
462024
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
342022
Towards calibrated and scalable uncertainty representations for neural networks
N Seedat, C Kanan
NeurIPS 2019, 4th workshop on Bayesian Deep Learning, 2019
292019
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
ICML 2024 (41st International Conference on Machine Learning), 2024
21*2024
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
212022
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
212022
Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark
L Hansen*, N Seedat*, M van der Schaar, A Petrovic
NeurIPS 2023 (37th Conference on Neural Information Processing Systems), 2023
202023
Generalization—a key challenge for responsible AI in patient-facing clinical applications
L Goetz*, N Seedat*, R Vandersluis, M van der Schaar
npj Digital Medicine 7 (1), 1-4, 2024
192024
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
182023
Navigating Data-Centric Artificial Intelligence with DC-Check: Advances, Challenges, and Opportunities
N Seedat, F Imrie, M van der Schaar
IEEE Transactions on Artificial Intelligence, 2024
162024
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
152023
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
142020
Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI
N Seedat, F Imrie, M van der Schaar
ICLR 2024 (12th International Conference on Learning Representations), 2024
132024
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
122023
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
92023
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
92020
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 171, 108205, 2024
72024
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
62018
Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios
N Astorga, T Liu, N Seedat, M van der Schaar
NeurIPS 2024 (38th Conference on Neural Information Processing Systems) 4 2024, 2024
5*2024
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