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Mahsa Shafaei
Mahsa Shafaei
PhD Student
Verified email at uh.edu
Title
Cited by
Cited by
Year
Age suitability rating: Predicting the MPAA rating based on movie dialogues
M Shafaei, NS Samghabadi, S Kar, T Solorio
Proceedings of the 12th language resources and evaluation conference, 1327-1335, 2020
24*2020
Community structure and information cascade in signed networks
M Shafaei, M Jalili
New Generation Computing 32, 257-269, 2014
222014
Parsinlu: a suite of language understanding challenges for persian
D Khashabi, A Cohan, S Shakeri, P Hosseini, P Pezeshkpour, M Alikhani, ...
Transactions of the Association for Computational Linguistics (TACL), 2020
182020
Attending the Emotions to Detect Online Abusive Language
NS Samghabadi, A Hatami, M Shafaei, S Kar, T Solorio
Proceedings of the Fourth Workshop on Online Abuse and Harms, 2019
122019
Exploiting Textual, Visual and Product Features for Predicting the Likeability of Movies
M Shafaei, AP López-Monroy, T Solorio
The 32nd International FLAIRS Conference, 2019
72019
A Case Study of Deep Learning-Based Multi-Modal Methods for Labeling the Presence of Questionable Content in Movie Trailers
M Shafaei, C Smailis, I Kakadiaris, T Solorio
Proceedings of the International Conference on Recent Advances in Natural …, 2021
3*2021
Hierarchical attention and transformers for automatic movie rating
LF Pardo-Sixtos, AP López-Monroy, M Shafaei, T Solorio
Expert Systems with Applications 209, 118164, 2022
12022
From None to Severe: Predicting Severity in Movie Scripts
Y Zhang, M Shafaei, F Gonzalez, T Solorio
arXiv preprint arXiv:2109.09276, 2021
12021
White paper—creating a repository of objectionable online content: addressing undesirable biases and ethical considerations
T Solorio, M Shafaei, C Smailis, M Augenstein Isabelle Mitchell, I Stapf, ...
12021
White Paper--Objectionable Online Content: What is harmful, to whom, and why
T Solorio, M Shafaei, C Smailis, BJ Bushman, DA Gentile, E Scharrer, ...
arXiv preprint arXiv:2104.03903, 2021
2021
White Paper: Challenges and Considerations for the Creation of a Large Labelled Repository of Online Videos with Questionable Content
T Solorio, M Shafaei, C Smailis, M Diab, T Giannakopoulos, H Ji, Y Liu, ...
arXiv preprint arXiv:2101.10894, 2021
2021
Detecting Objectionable Content in Online Media
M Shafaei
2021
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Articles 1–12