Deep learning in business analytics and operations research: Models,
applications and managerial implications

Deep learning in business analytics and operations research: Models, applications and managerial implications

28 June 2018

Mathias Kraus

Stefan Feuerriegel

Papers citing "Deep learning in business analytics and operations research: Models, applications and managerial implications"

9 / 9 papers shown

Title
Fair Off-Policy Learning from Observational Data Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel FaML OffRL 25 6 0 15 Mar 2023
Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes Di Wang Yao Wang Shaojie Tang OffRL 21 1 0 21 Feb 2023
Text classification in shipping industry using unsupervised models and Transformer based supervised models Yingyi Xie Dongping Song 42 1 0 21 Dec 2022
Deep Learning vs. Gradient Boosting: Benchmarking state-of-the-art machine learning algorithms for credit scoring Marc Schmitt 41 20 0 21 May 2022
Deep Learning in Business Analytics: A Clash of Expectations and Reality Marc Schmitt 43 53 0 19 May 2022
Optimization Problems for Machine Learning: A Survey Claudio Gambella Bissan Ghaddar Joe Naoum-Sawaya AI4CE 30 178 0 16 Jan 2019
Can Deep Learning Predict Risky Retail Investors? A Case Study in Financial Risk Behavior Forecasting Yaodong Yang A. Kolesnikova Stefan Lessmann Tiejun Ma M. Sung Johnnie E. V. Johnson 35 105 0 14 Dec 2018
Sentiment analysis based on rhetorical structure theory: Learning deep neural networks from discourse trees Mathias Kraus Stefan Feuerriegel 10 55 0 18 Apr 2017
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 186 1,186 0 30 Nov 2014