Duncan A. Little

According to our database, Duncan A. Little authored at least 4 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Promotheus: An End-to-End Machine Learning Framework for Optimizing Markdown in Online Fashion E-commerce.

Eleanor Loh, Jalaj Khandelwal, Brian Regan, Duncan A. Little

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2018

A Recurrent Neural Network Survival Model: Predicting Web User Return Time.

Georg L. Grob, Ângelo Cardoso, C. H. Bryan Liu, Duncan A. Little, Benjamin Paul Chamberlain

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

2017

TIMEDELn: A programme for the detection and parametrization of overlapping resonances using the time-delay method.

Duncan A. Little, Jonathan Tennyson, Martin Plummer, Clifford J. Noble, Andrew G. Sunderland

Comput. Phys. Commun., 2017

Generalising Random Forest Parameter Optimisation to Include Stability and Cost.

C. H. Bryan Liu, Benjamin Paul Chamberlain, Duncan A. Little, Ângelo Cardoso

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017