Nabeel Seedat | DeepAI

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Mihaela van der Schaar
138 publications
Hao Sun
91 publications
Christopher Kanan
51 publications
Maarten De Vos
21 publications
Zhaozhi Qian
20 publications
Jeroen Berrevoets
15 publications
Ioana Bica
15 publications
Julia Ive
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Alexis Bellot
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Jonathan Crabbé
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Fergus Imrie
9 publications

∙ 06/07/2023

U-PASS: an Uncertainty-guided deep learning Pipeline for Automated Sleep Staging

As machine learning becomes increasingly prevalent in critical fields su...

11 Elisabeth R. M. Heremans, et al. ∙

∙ 02/23/2023

Improving Adaptive Conformal Prediction Using Self-Supervised Learning

Conformal prediction is a powerful distribution-free tool for uncertaint...

26 Nabeel Seedat, et al. ∙

∙ 11/09/2022

DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems

While there have been a number of remarkable breakthroughs in machine le...

14 Nabeel Seedat, et al. ∙

∙ 10/24/2022

Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data

High model performance, on average, can hide that models may systematica...

6 Nabeel Seedat, et al. ∙

∙ 07/11/2022

DAUX: a Density-based Approach for Uncertainty eXplanations

Uncertainty quantification (UQ) is essential for creating trustworthy ma...

18 Hao Sun, et al. ∙

∙ 06/16/2022

Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations

Estimating counterfactual outcomes over time has the potential to unlock...

4 Nabeel Seedat, et al. ∙

∙ 06/13/2022

Differentiable and Transportable Structure Learning

We are interested in unsupervised structure learning with a particular f...

2 Jeroen Berrevoets, et al. ∙

∙ 05/29/2022

Modeling Disagreement in Automatic Data Labelling for Semi-Supervised Learning in Clinical Natural Language Processing

Computational models providing accurate estimates of their uncertainty a...

8 Hongshu Liu, et al. ∙

∙ 02/17/2022

Data-SUITE: Data-centric identification of in-distribution incongruous examples

Systematic quantification of data quality is critical for consistent mod...

5 Nabeel Seedat, et al. ∙

∙ 07/08/2020

MCU-Net: A framework towards uncertainty representations for decision support system patient referrals in healthcare contexts

Incorporating a human-in-the-loop system when deploying automated decisi...

0 Nabeel Seedat, et al. ∙

∙ 06/22/2020

Automated machine vision enabled detection of movement disorders from hand drawn spirals

A widely used test for the diagnosis of Parkinson's disease (PD) and Ess...

0 Nabeel Seedat, et al. ∙

∙ 06/22/2020

Machine learning discrimination of Parkinson's Disease stages from walker-mounted sensors data

Clinical methods that assess gait in Parkinson's Disease (PD) are mostly...

17 Nabeel Seedat, et al. ∙

∙ 10/28/2019

Towards calibrated and scalable uncertainty representations for neural networks

For many applications it is critical to know the uncertainty of a neural...

12 Nabeel Seedat, et al. ∙

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