Danielle Belgrave

According to our database, Danielle Belgrave authored at least 13 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation.

Ryutaro Tanno, David G. T. Barrett, Andrew Sellergren, Sumedh Ghaisas, Sumanth Dathathri, Abigail See, Johannes Welbl, Karan Singhal, Shekoofeh Azizi, Tao Tu, Mike Schaekermann, Rhys May, Roy Lee, SiWai Man, Zahra Ahmed, S. Sara Mahdavi, Danielle Belgrave, Vivek Natarajan, Shravya Shetty, Pushmeet Kohli, Po-Sen Huang, Alan Karthikesalingam, Ira Ktena

CoRR, 2023

Peer Reviews of Peer Reviews: A Randomized Controlled Trial and Other Experiments.

Alexander Goldberg, Ivan Stelmakh, Kyunghyun Cho, Alice H. Oh, Alekh Agarwal, Danielle Belgrave, Nihar B. Shah

CoRR, 2023

Generative models improve fairness of medical classifiers under distribution shifts.

Ira Ktena, Olivia Wiles, Isabela Albuquerque, Sylvestre-Alvise Rebuffi, Ryutaro Tanno, Abhijit Guha Roy, Shekoofeh Azizi, Danielle Belgrave, Pushmeet Kohli, Alan Karthikesalingam, A. Taylan Cemgil, Sven Gowal

CoRR, 2023

2022

Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task.

Jannik Kossen, Catalina Cangea, Eszter Vértes, Andrew Jaegle, Viorica Patraucean, Ira Ktena, Nenad Tomasev, Danielle Belgrave

CoRR, 2022

Causal Bandits without prior knowledge using separating sets.

Arnoud A. W. M. de Kroon, Joris M. Mooij, Danielle Belgrave

Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

2020

Machine Learning in Mental Health: A Systematic Review of the HCI Literature to Support the Development of Effective and Implementable ML Systems.

Anja Thieme, Danielle Belgrave, Gavin Doherty

ACM Trans. Comput. Hum. Interact., 2020

Machine learning applications: reflections on mental health assessment and ethics.

Anja Thieme, Danielle Belgrave, Akane Sano, Gavin Doherty

Interactions, 2020

Causal Discovery for Causal Bandits utilizing Separating Sets.

Arnoud A. W. M. de Kroon, Danielle Belgrave, Joris M. Mooij

CoRR, 2020

Hide-and-Seek Privacy Challenge.

James Jordon, Daniel Jarrett, Jinsung Yoon, Tavian Barnes, Paul W. G. Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar

CoRR, 2020

Hide-and-Seek Privacy Challenge: Synthetic Data Generation vs. Patient Re-identification.

James Jordon, Daniel Jarrett, Evgeny Saveliev, Jinsung Yoon, Paul W. G. Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

Understanding Client Support Strategies to Improve Clinical Outcomes in an Online Mental Health Intervention.

Prerna Chikersal, Danielle Belgrave, Gavin Doherty, Angel Enrique, Jorge E. Palacios, Derek Richards, Anja Thieme

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2018

Predicting First-Episode Psychosis Associated with Cannabis Use with Artificial Neural Networks and Deep Learning.

Daniel Stamate, Wajdi Alghamdi, Daniel Stahl, Ida M. Pu, Fionn Murtagh, Danielle Belgrave, Robin M. Murray, Marta Di Forti

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2018

2017

Predictive Modelling Strategies to Understand Heterogeneous Manifestations of Asthma in Early Life.

Danielle Belgrave, Rachel Cassidy, Daniel Stamate, Adnan Custovic, Louise Fleming, Andrew Bush, Sejal Saglani

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017