106 citations · 266 across the 5 of their papers we have counts for
5 papers
Learning from learning machines: a new generation of AI technology to meet the needs of science
Luca Pion-Tonachini, Kristofer Bouchard, Hector Garcia Martin +33
We outline emerging opportunities and challenges to enhance the utility of AI for scientific discovery. The distinct goals of AI for industry versus the goals of AI for science cre…
Nesterov Accelerated ADMM for Fast Diffeomorphic Image Registration
Alexander Thorley, Xi Jia, Hyung Jin Chang +8
Deterministic approaches using iterative optimisation have been historically successful in diffeomorphic image registration (DiffIR). Although these approaches are highly accurate,…
Analysis of the human diseasome reveals phenotype modules across common, genetic, and infectious diseases
Robert Hoehndorf, Paul N Schofield, Georgios V Gkoutos
Phenotypes are the observable characteristics of an organism arising from its response to the environment. Phenotypes associated with engineered and natural genetic variation are w…
Aber-OWL: a framework for ontology-based data access in biology
Robert Hoehndorf, Luke Slater, Paul N. Schofield +1
Many ontologies have been developed in biology and these ontologies increasingly contain large volumes of formalized knowledge commonly expressed in the Web Ontology Language (OWL)…
Towards quantitative measures in applied ontology
Robert Hoehndorf, Michel Dumontier, Georgios V. Gkoutos
Applied ontology is a relatively new field which aims to apply theories and methods from diverse disciplines such as philosophy, cognitive science, linguistics and formal logics to…