Duncan A. Little

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 7

Top Topics

Admission Control

Machine Learning

Feature Importance

Top Venues

Comput. Phys. Commun.

Publications

Eleanor Loh, Jalaj Khandelwal, Brian Regan, Duncan A. Little
Promotheus: An End-to-End Machine Learning Framework for Optimizing Markdown in Online Fashion E-commerce. CoRR (2022)
Eleanor Loh, Jalaj Khandelwal, Brian Regan, Duncan A. Little
Promotheus: An End-to-End Machine Learning Framework for Optimizing Markdown in Online Fashion E-commerce. KDD (2022)
Georg L. Grob, Ângelo Cardoso, C. H. Bryan Liu, Duncan A. Little, Benjamin Paul Chamberlain
A Recurrent Neural Network Survival Model: Predicting Web User Return Time. ECML/PKDD (3) (2018)
Georg L. Grob, Ângelo Cardoso, C. H. Bryan Liu, Duncan A. Little, Benjamin Paul Chamberlain
A Recurrent Neural Network Survival Model: Predicting Web User Return Time. CoRR (2018)
C. H. Bryan Liu, Benjamin Paul Chamberlain, Duncan A. Little, Ângelo Cardoso
Generalising Random Forest Parameter Optimisation to Include Stability and Cost. ECML/PKDD (3) (2017)
C. H. Bryan Liu, Benjamin Paul Chamberlain, Duncan A. Little, Ângelo Cardoso
Generalising Random Forest Parameter Optimisation to Include Stability and Cost. CoRR (2017)
Duncan A. Little, Jonathan Tennyson, Martin Plummer, Clifford J. Noble, Andrew G. Sunderland
TIMEDELn: A programme for the detection and parametrization of overlapping resonances using the time-delay method. Comput. Phys. Commun. 215 (2017)