Design and Evaluation of Product Aesthetics: A Human-Machine Hybrid Approach. - Alex Burnap; John R. Hauser; Artem Timoshenko (CoRR, 2019)

Identifying Customer Needs from User-Generated Content. - Artem Timoshenko; John R. Hauser (Mark. Sci., 2019)

Targeting Prospective Customers: Robustness of Machine-Learning Methods to Typical Data Challenges. - Duncan Simester; Artem Timoshenko; Spyros I. Zoumpoulis (Manag. Sci., 2020)

Efficiently Evaluating Targeting Policies: Improving on Champion vs. Challenger Experiments. - Duncan Simester; Artem Timoshenko; Spyros I. Zoumpoulis (Manag. Sci., 2020)

Product Choice with Large Assortments: A Scalable Deep-Learning Model. - Sebastian Gabel; Artem Timoshenko (Manag. Sci., 2022)

POA: Passable Obstacles Aware Path-Planning Algorithm for Navigation of a Two-Wheeled Robot in Highly Cluttered Environments. - Alexander Petrovsky; Yomna Youssef; Kirill Myasoedov; Artem Timoshenko; Vladimir Guneavoi; Ivan Kalinov; Dzmitry Tsetserukou (SMC, 2023)

Product Aesthetic Design: A Machine Learning Augmentation. - Alex Burnap; John R. Hauser; Artem Timoshenko (Mark. Sci., 2023)

Can Large Language Models Extract Customer Needs as well as Professional Analysts? - Artem Timoshenko; Chengfeng Mao; John R. Hauser (CoRR, 2025)