Who collaborates with Nabeel Seedat?

Atlas records 29 co-authors for Nabeel Seedat, who works on Explainable Artificial Intelligence (XAI); the 20 strongest connections are shown. The strongest collaboration is with Mihaela van der Schaar (33 joint papers).
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Top co-authors

ResearcherJoint papersCited
Mihaela van der Schaar3323,208
Fergus Imrie8961
Boris van Breugel3316
Jonathan Crabbé5543
Nicolás Astorga3232
Tennison Liu2103
Jiashuo Liu3780
Thomas Pouplin1640
Alan Jeffares123
Max Ruiz Luyten131
Krzysztof Kacprzyk117
Nicolas Huynh344
Jeroen Berrevoets2200
Lasse Hansen1389
Andrija Petrovic1391
Zhaozhi Qian3496
Yinpeng Dong18,650
Evgeny S. Saveliev126
Jim Weatherall1168
Ioana Bica12,900

Research topics

TopicFieldPapers
Explainable Artificial Intelligence (XAI)Computer Science14
Machine Learning in HealthcareComputer Science13
Topic ModelingComputer Science10
Machine Learning and Data ClassificationComputer Science9
Adversarial Robustness in Machine LearningComputer Science8

Topics reflect this author's top 5 in OpenAlex; secondary areas may be missing.

Representative papers

TitleYearCited
Generalization—a key challenge for responsible AI in patient-facing clinical applications2024103
Navigating Data-Centric Artificial Intelligence With DC-Check: Advances, Challenges, and Opportunities202315
U-PASS: An uncertainty-guided deep learning pipeline for automated sleep staging202414
Large Language Models to Enhance Bayesian Optimization202413
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems202211
Towards calibrated and scalable uncertainty representations for neural networks201911
Automated and interpretable m-health discrimination of vocal cord pathology enabled by machine learning202010
Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark20238
Cite: Researcher Atlas, "Who collaborates with Nabeel Seedat?", data version 2026.07-r1, https://researcher-atlas.com/researcher/nabeel-seedat-a5067213867/