John A. Keane

基本信息

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职业迁徙

个人简介

John Keane is a Professor of Data Engineering in the School of Computer Science and represents the Faculty of Engineering & Physical Science on the Mi Steering Group.

研究兴趣

论文共 136 篇作者统计合作学者相似作者

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Text-based phenotyping with Semantic Deep Learning: setting up experiments for women's health

Mercedes Argüello Casteleiro, Niamh Joyce,Nava Maroto, Maria Jesus Fernandez Prieto,Timothy Furmston, Diego Maseda-Fernandez,Phillip Lord,Chris Wroe,John A. Keane, Ying Cheong,Robert Stevens

SWAT4HCLSpp.161-162, (2023)

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Pairwise comparisons or constrained optimization? A usability evaluation of techniques for eliciting decision priorities

Edward Abel,Ixent Galpin,Norman W. Paton,John A. Keane

INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH（2022）

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HAWKS: Evolving Challenging Benchmark Sets for Cluster Analysis

Cameron Shand,Richard Allmendinger,Julia Handl,Andrew Webb,John Keane

IEEE Transactions on Evolutionary Computation（2022）

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MetaMap versus BERT Models with Explainable Active Learning: Ontology-Based Experiments with Prior Knowledge for COVID-19

Mercedes Argüello Casteleiro, Chloe Henson,Nava Maroto, Saihong Li, Julio Des-Diz,Maria Jesus Fernandez Prieto,Simon Peters,Timothy Furmston, Carlos Sevillano Torrado, Diego Maseda-Fernandez, Manoj Kulshrestha,John A. Keane,

Workshop on Semantic Web Applications and Tools for Life Sciences (SWAT4LS)pp.108-117, (2022)

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Incorporating Data Context to Cost-Effectively Automate End-to-End Data Wrangling