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Staff Profile | School of Computing | Newcastle University
I am a Professor of Artificial Intelligence at the School of Computing of Newcastle University since 2017. I am affiliated to the Interdisciplinary Computing and Complex BioSystems (ICOS) …
Prof. Jaume Bacardit - Newcastle University
Jaume Bacardit. Interdisciplinary Computing and Complex BioSystems (ICOS) research group School of Computing Newcastle University 1 Science Square Newcastle-upon-Tyne, NE4 …
Professor in Artificial Intelligence, Newcastle University. - October 2021-September 2023. Fellow of the Alan Turing Institute - August 2017-July 2023. Reader in Machine Learning at …
Dr Jaume Bacardit - NIHR Newcastle Biomedical Research Centre
Dr Jaume Bacardit. Reader in Machine Learning. Back to people. NIHR Newcastle Biomedical Research Centre. Biomedical Research Building. Campus for Ageing and Vitality. Newcastle …
Prof. Jaume Bacardit - Newcastle University
I am Professor of Artificial Intelligence at Newcastle University. My research interests include the development of machine learning methods for large-scale problems, the design of techniques …
Jaume Bacardit - Google Scholar
Professor of Artificial Intelligence, Newcastle University - Cited by 7,862 - Bioinformatics - Machine Learning - Data Mining - Big Data - Evolutionary Computation
Academic Staff - Newcastle University
Director of Student Recruitment, Business, Innovation and Skills. Associate Professor in Computing. Meet our dedicated academic staff who drive education and foster the next …
Jaume BACARDIT | Senior Lecturer | PhD | Newcastle University ...
Currently my research interest include the development of data mining methods for large-scale datasets and their application to mine challenging problems in bioinformatics. [...] Designs for...
Jaume Bacardit - Newcastle Upon Tyne, England, United …
Location: Newcastle Upon Tyne · 500+ connections on LinkedIn. View Jaume Bacardit’s profile on LinkedIn, a professional community of 1 billion members.
- 500+ connections
Dr Jaume Bacardit
He has published papers on algorithmic advances to improve the scalability of machine learning methods, tackling challenges such as large dimensionality spaces, large sets of records, or the …