research
∙
04/02/2023
Sequence-aware item recommendations for multiply repeated user-item interactions
Recommender systems are one of the most successful applications of machi...
share
research
∙
04/02/2023
Modelling customer churn for the retail industry in a deep learning based sequential framework
As retailers around the world increase efforts in developing targeted ma...
research
∙
03/08/2023
Automatic Detection of Industry Sectors in Legal Articles Using Machine Learning Approaches
The ability to automatically identify industry sector coverage in articl...
research
∙
12/30/2020
Optimal trees selection for classification via out-of-bag assessment and sub-bagging
The effect of training data size on machine learning methods has been we...
research
∙
05/18/2020
