Mona Jalal

Orcid: 0000-0001-9904-9354

According to our database1, Mona Jalal authored at least 15 papers between 2015 and 2023.

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Bibliography

2023
ATL-BP: A Student Engagement Dataset and Model for Affect Transfer Learning for Behavior Prediction.
IEEE Trans. Biom. Behav. Identity Sci., July, 2023

Correction to: ReNo: novel switch architecture for reliability improvement of NoCs.
J. Supercomput., March, 2023

ReNo: novel switch architecture for reliability improvement of NoCs.
J. Supercomput., 2023

2021
Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

Detecting Frames in News Headlines and Lead Images in U.S. Gun Violence Coverage.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

OpenFraming: Open-sourced Tool for Computational Framing Analysis of Multilingual Data.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021

2020
Visual complexity analysis using deep intermediate-layer features.
Comput. Vis. Image Underst., 2020

OpenFraming: We brought the ML; you bring the data. Interact with your data and discover its frames.
CoRR, 2020

Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System.
CoRR, 2020

Performance Comparison of Crowdworkers and NLP Tools onNamed-Entity Recognition and Sentiment Analysis of Political Tweets.
CoRR, 2020

2019
Scraping Social Media Photos Posted in Kenya and Elsewhere to Detect and Analyze Food Types.
Proceedings of the 5th International Workshop on Multimedia Assisted Dietary Management, 2019

SIDOD: A Synthetic Image Dataset for 3D Object Pose Recognition With Distractors.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
SAVOIAS: A Diverse, Multi-Category Visual Complexity Dataset.
CoRR, 2018

2017
Online Graph Completion: Multivariate Signal Recovery in Computer Vision.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2015
Demonstration of Santoku: Optimizing Machine Learning over Normalized Data.
Proc. VLDB Endow., 2015


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