382 citations
- University of OxfordGB14 papers
- Center for Theoretical PhysicsPL4 papers
- Mathematical Institute of the Slovak Academy of SciencesSK4 papers
- Imperial College LondonGB3 papers
- Clarendon CollegeUS2 papers
- Cameca (United States)US1 paper
- Central Michigan UniversityUS1 paper
- Centre for Microscopy and MicroanalysisAU1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Deutsches Elektronen-Synchrotron DESYDE1 paper
- École PolytechniqueFR1 paper
- European Organization for Nuclear ResearchCH1 paper
22 papers
Ingroup bias is prevalent in user reports of hate and abuse online
Florence E. Enock, Helen Z. Margetts, Jonathan Bright
The prevalence of online hate and abuse is a pressing global problem. While tackling such societal harms is a priority for research across the social sciences, it is a difficult ta…
Bipartite Sachdev-Ye Models with Read-Saleur Symmetries
J. Classen-Howes, P. Fendley, A. Pandey +1
We introduce an SU(M)-symmetric disordered bipartite spin model with unusual characteristics. Although superficially similar to the Sachdev-Ye model, it has several markedly differ…
ShiftDTW: adapting the DTW metric for cyclic time series clustering
Lucas Foulon, Ilyes Korichi, Xavier Millot
The elasticity of the DTW metric provides a more flexible comparison between time series and is used in numerous machine learning domains such as classification or clustering. Howe…
'Fuelled' motion: phoretic motility and collective behaviour of active colloids
Pierre Illien, Ramin Golestanian, Ayusman Sen
Designing microscopic and nanoscopic self-propelled particles and characterising their motion has become a major scientific challenge over the past decades. To this purpose, phoret…
Memory effects, arches and polar defect ordering at the cross-over from wet to dry active nematics
Mehrana Raeisian Nejad, Amin Doostmohammadi, Julia Mary Yeomans
We use analytic arguments and numerical solutions of the continuum, active nematohydrodynamic equations to study how friction alters the behaviour of active nematics. Concentrating…
The standard coder: a machine learning approach to measuring the effort required to produce source code change
Ian Wright, Albert Ziegler
We apply machine learning to version control data to measure the quantity of effort required to produce source code changes. We construct a model of a `standard coder' trained from…