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Satya Borgohain
ORCID
Publication Activity (10 Years)
Years Active: 2020-2023
Publications (10 Years): 4
Top Topics
Neural Network Model
Fermentation Process
Dempster Shafer
Mackey Glass
Top Venues
CoRR
EACL
Australasian Conference on Artificial Intelligence
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Publications
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Lachlan O'Neill
,
Nandini Anantharama
,
Satya Borgohain
,
Simon D. Angus
Models Teaching Models: Improving Model Accuracy with Slingshot Learning.
EACL
(2023)
Satya Borgohain
,
Klaus Ackermann
,
Ruben Loaiza-Maya
Bayesian Neural Network Versus Ex-Post Calibration For Prediction Uncertainty.
CoRR
(2022)
Lachlan O'Neill
,
Simon Angus
,
Satya Borgohain
,
Nader Chmait
,
David L. Dowe
Creating Powerful and Interpretable Models withRegression Networks.
CoRR
(2021)
Satya Borgohain
,
Gideon Kowadlo
,
David Rawlinson
,
Christoph Bergmeir
,
Kok Loo
,
Harivallabha Rangarajan
,
Levin Kuhlmann
Self-organising Neural Network Hierarchy.
Australasian Conference on Artificial Intelligence
(2020)