1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2022
Evaluating Deep Vs. Wide & Deep Learners As Contextual Bandits For Personalized Email Promo Recommendations
Aleksey A. Kocherzhenko, Nirmal Sobha Kartha, Tengfei Li +5
Personalization enables businesses to learn customer preferences from past interactions and thus to target individual customers with more relevant content. We consider the problem…
cs.CV2021★ 1 cited
A Deep Learning Approach for Masking Fetal Gender in Ultrasound Images
Amit Borundiya, Arshak Navruzyan, Dennis Igoschev +7
Ultrasound (US) imaging is highly effective with regards to both cost and versatility in real-time diagnosis; however, determination of fetal gender by US scan in the early stages…