Custom Force Sensor and Sensory Feedback System to Enable Grip Control of a Robotic Prosthetic Hand. - Nabeel Seedat; Irfaan Mohamed; Abdul-Khaaliq Mohamed (BioRob, 2018)

Towards calibrated and scalable uncertainty representations for neural networks. - Nabeel Seedat; Christopher Kanan (CoRR, 2019)

Automated machine vision enabled detection of movement disorders from hand drawn spirals. - Nabeel Seedat; Vered Aharonson; Ilana Schlesinger (ICHI, 2020)

Machine learning discrimination of Parkinson's Disease stages from walker-mounted sensors data. - Nabeel Seedat; Vered Aharonson (CoRR, 2020)

MCU-Net: A framework towards uncertainty representations for decision support system patient referrals in healthcare contexts. - Nabeel Seedat (CoRR, 2020)

Data-SUITE: Data-centric identification of in-distribution incongruous examples. - Nabeel Seedat; Jonathan Crabbé; Mihaela van der Schaar (ICML, 2022)

Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations. - Nabeel Seedat; Fergus Imrie; Alexis Bellot; Zhaozhi Qian; Mihaela van der Schaar (ICML, 2022)

Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data. - Nabeel Seedat; Jonathan Crabbé; Ioana Bica; Mihaela van der Schaar (NeurIPS, 2022)

Modeling Disagreement in Automatic Data Labelling for Semi-Supervised Learning in Clinical Natural Language Processing. - Hongshu Liu; Nabeel Seedat; Julia Ive (CoRR, 2022)

DAUX: a Density-based Approach for Uncertainty eXplanations. - Hao Sun 017; Boris van Breugel; Jonathan Crabbé; Nabeel Seedat; Mihaela van der Schaar (CoRR, 2022)

DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems. - Nabeel Seedat; Fergus Imrie; Mihaela van der Schaar (CoRR, 2022)

Improving Adaptive Conformal Prediction Using Self-Supervised Learning. - Nabeel Seedat; Alan Jeffares; Fergus Imrie; Mihaela van der Schaar (AISTATS, 2023)

Differentiable and Transportable Structure Learning. - Jeroen Berrevoets; Nabeel Seedat; Fergus Imrie; Mihaela van der Schaar (ICML, 2023)

Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data. - Boris van Breugel; Nabeel Seedat; Fergus Imrie; Mihaela van der Schaar (NeurIPS, 2023)

Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark. - Lasse Hansen; Nabeel Seedat; Mihaela van der Schaar; Andrija Petrovic (NeurIPS, 2023)

TRIAGE: Characterizing and auditing training data for improved regression. - Nabeel Seedat; Jonathan Crabbé; Zhaozhi Qian; Mihaela van der Schaar (NeurIPS, 2023)

What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization. - Hao Sun 017; Boris van Breugel; Jonathan Crabbé; Nabeel Seedat; Mihaela van der Schaar (NeurIPS, 2023)

When is Off-Policy Evaluation Useful? A Data-Centric Perspective. - Hao Sun 017; Alex J. Chan; Nabeel Seedat; Alihan Hüyük; Mihaela van der Schaar (CoRR, 2023)

Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in ultra low-data regimes. - Nabeel Seedat; Nicolas Huynh; Boris van Breugel; Mihaela van der Schaar (CoRR, 2023)

DAGnosis: Localized Identification of Data Inconsistencies using Structures. - Nicolas Huynh; Jeroen Berrevoets; Nabeel Seedat; Jonathan Crabbé; Zhaozhi Qian; Mihaela van der Schaar (AISTATS, 2024)

Large Language Models to Enhance Bayesian Optimization. - Tennison Liu; Nicolás Astorga; Nabeel Seedat; Mihaela van der Schaar (ICLR, 2024)

Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI. - Nabeel Seedat; Fergus Imrie; Mihaela van der Schaar (ICLR, 2024)

Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise. - Thomas Pouplin; Alan Jeffares; Nabeel Seedat; Mihaela van der Schaar (ICML, 2024)

Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes. - Nabeel Seedat; Nicolas Huynh; Boris van Breugel; Mihaela van der Schaar (ICML, 2024)

Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios. - Nicolás Astorga; Tennison Liu; Nabeel Seedat; Mihaela van der Schaar (NeurIPS, 2024)

Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments. - Paulius Rauba; Nabeel Seedat; Krzysztof Kacprzyk; Mihaela van der Schaar (NeurIPS, 2024)

Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models. - Paulius Rauba; Nabeel Seedat; Max Ruiz Luyten; Mihaela van der Schaar (NeurIPS, 2024)

U-PASS: An uncertainty-guided deep learning pipeline for automated sleep staging. - Elisabeth R. M. Heremans; Nabeel Seedat; Bertien Buyse; Dries Testelmans; Mihaela van der Schaar; Maarten De Vos (Comput. Biol. Medicine, 2024)

You can't handle the (dirty) truth: Data-centric insights improve pseudo-labeling. - Nabeel Seedat; Nicolas Huynh; Fergus Imrie; Mihaela van der Schaar (CoRR, 2024)

Matchmaker: Self-Improving Large Language Model Programs for Schema Matching. - Nabeel Seedat; Mihaela van der Schaar (CoRR, 2024)

Unlocking Historical Clinical Trial Data with ALIGN: A Compositional Large Language Model System for Medical Coding. - Nabeel Seedat; Caterina Tozzi; Andrea Hita Ardiaca; Mihaela van der Schaar; James Weatherall; Adam Taylor (CoRR, 2024)

Modeling disagreement in automatic data labeling for semi-supervised learning in Clinical Natural Language Processing. - Hongshu Liu; Nabeel Seedat; Julia Ive (Frontiers Artif. Intell., 2024)

Generalization - a key challenge for responsible AI in patient-facing clinical applications. - Lea Goetz; Nabeel Seedat; Robert Vandersluis; Mihaela van der Schaar (npj Digit. Medicine, 2024)

Navigating Data-Centric Artificial Intelligence With DC-Check: Advances, Challenges, and Opportunities. - Nabeel Seedat; Fergus Imrie; Mihaela van der Schaar (IEEE Trans. Artif. Intell., 2024)

Going Beyond Static: Understanding Shifts with Time-Series Attribution. - Jiashuo Liu; Nabeel Seedat; Peng Cui 001; Mihaela van der Schaar (ICLR, 2025)

Towards Human-Guided, Data-Centric LLM Co-Pilots. - Evgeny Saveliev; Jiashuo Liu; Nabeel Seedat; Anders Boyd; Mihaela van der Schaar (CoRR, 2025)