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Matthew Gleeson
ORCID
Publication Activity (10 Years)
Years Active: 2021-2024
Publications (10 Years): 2
Top Topics
Data Sources
Denoising
Privacy Preserving
Probabilistic Neural Networks
Top Venues
Proc. ACM Manag. Data
CoRR
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Publications
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Nick Glaze
,
Tria McNeely
,
Yiwen Zhu
,
Matthew Gleeson
,
Helen Serr
,
Rajeev Bhopi
,
Subru Krishnan
Lorentz: Learned SKU Recommendation Using Profile Data.
Proc. ACM Manag. Data
2 (3) (2024)
María Pérez-Ortiz
,
Omar Rivasplata
,
Benjamin Guedj
,
Matthew Gleeson
,
Jingyu Zhang
,
John Shawe-Taylor
,
Miroslaw Bober
,
Josef Kittler
Learning PAC-Bayes Priors for Probabilistic Neural Networks.
CoRR
(2021)