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Cambridge Mathematics of Information in Healthcare Hub (CMIH)

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  • Currently displaying 21 - 40 of 1302 publications
High-probability minimax lower bounds
T Ma, KA Verchand, RJ Samworth
(2024)
Modelling hepatitis C infection acquired from blood transfusions in the UK between 1970 and 1991 for the Infected Blood Inquiry.
S Hayes, R McCabe, D De Angelis, CA Donnelly, SJW Evans, GF Medley, DJ Spiegelhalter, SM Bird
– Royal Society Open Science
(2024)
11,
231722
Can physics-informed neural networks beat the finite element method?
TG Grossmann, UJ Komorowska, J Latz, C-B Schönlieb
– IMA Journal of Applied Mathematics Institute of Mathematics and Its Applications
(2024)
89,
143
A Study of Posterior Stability for Time-Series Latent Diffusion
Y Li, Y Cheng, MVD Schaar
(2024)
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
(2024)
7,
126
Sharp-SSL: Selective High-Dimensional Axis-Aligned Random Projections for Semi-Supervised Learning.
T Wang, E Dobriban, M Gataric, R Samworth
– J Am Stat Assoc
(2024)
120,
395
Why Tabular Foundation Models Should Be a Research Priority
BV Breugel, MVD Schaar
(2024)
A new computational framework for log-concave density estimation
W Chen, R Mazumder, RJ Samworth
– Mathematical Programming Computation
(2024)
16,
185
Non-contact, portable and stand-off infrared thermal imager for security scanning applications
W Khor, YK Chen, M Roberts, F Ciampa
– Aip Advances
(2024)
14,
045314
Automated detection and classification of concealed objects using infrared thermography and convolutional neural networks
W Khor, YK Chen, M Roberts, F Ciampa
– Scientific reports
(2024)
14,
8353
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semisupervised Classification
P Sellars, AI Aviles-Rivero, C-B Schonlieb
– IEEE Transactions on Neural Networks and Learning Systems
(2024)
35,
5306
Optimal convex $M$-estimation via score matching
OY Feng, Y-C Kao, M Xu, RJ Samworth
(2024)
Recent Methodological Advances in Federated Learning for Healthcare
F Zhang, D Kreuter, Y Chen, S Dittmer, S Tull, T Shadbahr, BloodCounts! consortium, J Preller, JHF Rudd, JAD Aston, C-B Schönlieb, N Gleadall, M Roberts
– Patterns (N Y)
(2024)
5,
101006
Factors influencing clinician and patient interaction with machine learning-based risk prediction models: a systematic review.
R Giddings, A Joseph, T Callender, SM Janes, M van der Schaar, J Sheringham, N Navani
– Lancet Digital Health
(2024)
6,
e131
Using Machine Learning to Individualize Treatment Effect Estimation: Challenges and Opportunities.
A Curth, RW Peck, E McKinney, J Weatherall, M van der Schaar
– Clinical Pharmacology and Therapeutics
(2024)
115,
710
Novel Preoperative Risk Stratification Using Digital Phenotyping Applying a Scalable Machine-Learning Approach.
P Laferrière-Langlois, F Imrie, M-A Geraldo, T Wingert, N Lahrichi, M van der Schaar, M Cannesson
– Anesthesia & Analgesia
(2023)
139,
174
Optimal subgroup selection
HWJ Reeve, TI Cannings, RJ Samworth
– Annals of Statistics
(2023)
51,
2342
Tabular Few-Shot Generalization Across Heterogeneous Feature Spaces
M Zhu, K Kobalczyk, A Petrovic, M Nikolic, MVD Schaar, B Delibasic, P Lio
(2023)
Optimising Human-AI Collaboration by Learning Convincing Explanations
AJ Chan, A Huyuk, MVD Schaar
(2023)
Invariant Causal Imitation Learning for Generalizable Policies
I Bica, D Jarrett, MVD Schaar
(2023)