Machine Learning, Artificial Intelligence, Game Intelligence, Computing at Scale
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. Visualising 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
- Daniel Rammer, Thilina Buddhika, Matthew Malensek, Shrideep Pallickara, and Sangmi Lee Pallickara. Enabling Fast Exploratory Analyses Over Voluminous Spatiotemporal Data Using Analytical Engines. IEEE Transactions on Big Data.
- Naman Shah, Matthew Malensek, Harshil Shah, Shrideep Pallickara, and Sangmi Lee Pallickara. Scalable Network Analytics for Characterization of Outbreak Influence in Voluminous Epidemiology Datasets. Concurrency and Computation: Practice and Experience 31.7 (October 2019), pp. e4998.
- Paul Intrevado, Tuo Sun, Allison Wong, and David Guy Brizan. Quantum Criticism: Exploring Sentiment of Named Entities in News Articles.
2018
- Claire Broad, Helen Langone and David Guy Brizan. Candidate Ranking for Maintenance of an Online Dictionary. Language Resources and Evaluation Conference (LREC). 2018.