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2020 – today
- 2024
[i3]Nabeel Seedat, Caterina Tozzi, Andrea Hita Ardiaca, Mihaela van der Schaar, James Weatherall, Adam Taylor:
Unlocking Historical Clinical Trial Data with ALIGN: A Compositional Large Language Model System for Medical Coding. CoRR abs/2411.13163 (2024)- 2021
- [c6]Alicia Curth, David Svensson, James Weatherall, Mihaela van der Schaar:
Really Doing Great at Estimating CATE? A Critical Look at ML Benchmarking Practices in Treatment Effect Estimation. NeurIPS Datasets and Benchmarks 2021 - [i2]Christopher Yacoumatos, Stefano Bragaglia, Anshul Kanakia, Nils Svangård, Jonathan Mangion, Claire Donoghue, James Weatherall, Faisal M. Khan, Khader Shameer:
TrialGraph: Machine Intelligence Enabled Insight from Graph Modelling of Clinical Trials. CoRR abs/2112.08211 (2021) - 2020
- [j6]Konstantinos Sechidis, Laura Azzimonti
, Adam Craig Pocock, Giorgio Corani, James Weatherall, Gavin Brown:
Correction to: Efficient feature selection using shrinkage estimators. Mach. Learn. 109(8): 1565-1567 (2020) - [c5]Emmette R. Hutchison, Youyi Zhang, Sreenath Nampally, James Weatherall, Faisal M. Khan, Khader Shameer:
Uncovering Machine Learning-Ready Data from Public Clinical Trial Resources: A case-study on normalization across Aggregate Content of ClinicalTrials.gov. BIBM 2020: 2965-2967
2010 – 2019
- 2019
- [j5]Alan Davies, Marisa Cunha, Kamilla Kopec-Harding, Paul D. Metcalfe, James Weatherall, Caroline Jay:
Biomarker data visualisation for decision making in clinical trials. Int. J. Medical Informatics 132 (2019) - [j4]Konstantinos Sechidis, Laura Azzimonti, Adam Craig Pocock, Giorgio Corani, James Weatherall, Gavin Brown:
Efficient feature selection using shrinkage estimators. Mach. Learn. 108(8-9): 1261-1286 (2019) - [c4]Konstantinos Sechidis, Konstantinos Papangelou, Sarah Nogueira, James Weatherall, Gavin Brown:
On the Stability of Feature Selection in the Presence of Feature Correlations. ECML/PKDD (1) 2019: 327-342 - 2018
- [j3]Konstantinos Sechidis, Konstantinos Papangelou, Paul D. Metcalfe, David Svensson, James Weatherall, Gavin Brown:
Distinguishing prognostic and predictive biomarkers: an information theoretic approach. Bioinform. 34(19): 3365-3376 (2018) - [j2]Konstantinos Sechidis, Konstantinos Papangelou, Paul D. Metcalfe, David Svensson, James Weatherall, Gavin Brown:
Distinguishing prognostic and predictive biomarkers: an information theoretic approach. Bioinform. 34(23): 4139 (2018) - [j1]Martin Karpefors, James Weatherall:
The Tendril Plot - a novel visual summary of the incidence, significance and temporal aspects of adverse events in clinical trials. J. Am. Medical Informatics Assoc. 25(8): 1069-1073 (2018) - [c3]Konstantinos Papangelou, Konstantinos Sechidis, James Weatherall, Gavin Brown:
Toward an Understanding of Adversarial Examples in Clinical Trials. ECML/PKDD (1) 2018: 35-51 - 2016
- [c2]Ezzatul Akmal Kamaru-Zaman, Andrew Brass, James Weatherall, Shuzlina Abdul Rahman:
Weak Classifiers Performance Measure in Handling Noisy Clinical Trial Data. SCDS 2016: 148-157 - [i1]Konstantinos Sechidis, Emily Turner, Paul D. Metcalfe, James Weatherall, Gavin Brown:
Ranking Biomarkers Through Mutual Information. CoRR abs/1612.01316 (2016) - 2013
- [c1]Leila Kalankesh, James Weatherall, Thamer Ba Dhafari, Iain E. Buchan, Andy Brass:
Taming EHR data: Using Semantic Similarity to reduce Dimensionality. MedInfo 2013: 52-56
Coauthor Index
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