3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CY2021
White Paper -- Objectionable Online Content: What is harmful, to whom, and why
Thamar Solorio, Mahsa Shafaei, Christos Smailis +5
This White Paper summarizes the authors' discussion regarding objectionable content for the University of Houston (UH) Research Team to outline a strategy for building an extensive…
cs.LG2021★ 3 cited
A Case Study of Deep Learning Based Multi-Modal Methods for Predicting the Age-Suitability Rating of Movie Trailers
Mahsa Shafaei, Christos Smailis, Ioannis A. Kakadiaris +1
In this work, we explore different approaches to combine modalities for the problem of automated age-suitability rating of movie trailers. First, we introduce a new dataset contain…