Sarah Adel Bargal
Orcid: 0000-0003-3157-0412
According to our database1,
Sarah Adel Bargal
authored at least 47 papers
between 2015 and 2024.
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Bibliography
2024
CoRR, 2024
Affect Behavior Prediction: Using Transformers and Timing Information to Make Early Predictions of Student Exercise Outcome.
Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2024
2023
ATL-BP: A Student Engagement Dataset and Model for Affect Transfer Learning for Behavior Prediction.
IEEE Trans. Biom. Behav. Identity Sci., July, 2023
COVES: A Cognitive-Affective Deep Model that Personalizes Math Problem Difficulty in Real Time and Improves Student Engagement with an Online Tutor.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Proceedings of the 48th IEEE Conference on Local Computer Networks, 2023
Proceedings of the Workshop "Towards the Future of AI-augmented Human Tutoring in Math Learning" co-located with The 24th International Conference on Artificial Intelligence in Education (AIED 2023), 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Ani-GIFs: A benchmark dataset for domain generalization of action recognition from GIFs.
Frontiers Comput. Sci., 2022
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022
Measurements and Interventions to Improve Student Engagement Through Facial Expression Recognition.
Proceedings of the Adaptive Instructional Systems, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
IEEE Trans. Pattern Anal. Mach. Intell., 2021
Int. J. Comput. Vis., 2021
Examining the Human Perceptibility of Black-Box Adversarial Attacks on Face Recognition.
CoRR, 2021
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
Proceedings of the NeurIPS 2022 Competition Track, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
2020
IEEE Trans. Pattern Anal. Mach. Intell., 2020
Protecting Against Image Translation Deepfakes by Leaking Universal Perturbations from Black-Box Neural Networks.
CoRR, 2020
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020
Proceedings of the xxAI - Beyond Explainable AI, 2020
Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020
2019
CoRR, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
Proceedings of the 30th British Machine Vision Conference 2019, 2019
2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
2017
Do less and achieve more: Training CNNs for action recognition utilizing action images from the Web.
Pattern Recognit., 2017
Proceedings of the IEEE International Conference on Computer Vision, 2017
2016
Proceedings of the 18th ACM International Conference on Multimodal Interaction, 2016
2015
Image-based Ear Biometric Smartphone App for Patient Identification in Field Settings.
Proceedings of the VISAPP 2015, 2015