University of San Francisco Department of Computer Science
MAGICS Research Lab Machine LearningยทArtificial Intelligence

Publications

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2023

  • Rashmi Nagpal, Faaz Arshad, David Guy Brizan. Conversational Styles: A Survey of Features and Distributions on the Switchboard Corpus. Proceedings of the AACL, 2023.

2022

  • Daniel J. Barajas, Xornam S. Apedoe, David Guy Brizan, Alark P. Joshi and Sophie J. Engle. Lessons Learned from Quantitatively Exploring Visualization Rubric Utilization for Peer Feedback. IEEE Computer Graphics and Applications (to appear).
  • Alark P. Joshi, Sophie J. Engle, Matthew Malensek, Chris Brooks, Xornam S. Apedoe and Star Moore. Acknowledging Inequities in Tech through a Community-Engaged Learning course. Proceedings of the 54th ACM Technical Symposium on Computer Science Education.

2021

  • Liang Wang, Beste F. Yuksel, and David Guy Brizan. Spontaneous and Posed Smile Detection: Deep Learning, Traditional Machine Learning, and Human Performance. International Conference on Affective Computing and Intelligent Interaction (ICACII). 2021.
  • Evelyn Matson, Daniel Barajas, Jose Corella, and David Guy Brizan. Visualizing the News. IEEE VIS Workshop. 2021.

2020

  • Mingxin Lu, Edmund Wong, Daniel Barajas, Xiaochen Li, Mosopefoluwa Ogundipe, Nate Wilson, Pragya Garg, Alark Joshi, and Matthew Malensek. Agami: Scalable Visual Analytics over Multidimensional Data Streams. Proceedings of the 7th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies. 2020.
  • Walid Budgaga, Matthew Malensek, Sangmi Lee Pallickara, and Shrideep Pallickara. Concerto: Leveraging Ensembles for Timely, Accurate Model Training Over Voluminous Datasets. Proceedings of the 7th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies. 2020.
  • Ashwini Badgujar, Sheng Chen, Andrew Wang, Kai Yu, Paul Intrevado, David Guy Brizan. Quantum Criticism: An Analysis of Political News Reporting. International Conference on Natural Language Computing Advances (NLCA). 2020. (Conference poster.)
  • Ashwini Badgujar, Sheng Cheng, Pezanne Khambatta, Tuethu Tran, Andrew Wang, Kai Yu, Paul Intrevado, David Guy Brizan. Quantum Criticism: An Analysis of Political News Reporting. Machine Learning and Applications: An International Journal (MLAIJ). 2020.
  • Kunal Sonar, Paul Intrevado and David Guy Brizan. The Seven Critical Axes of Information For Yelp Restaurant Reviews. International Conference on Machine Learning and Applications. 2020.

2019

2018