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ORCIDAaron K. Baughman
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Journal Articles
- 2017
[j4]Aaron K. Baughman, Steven Hammer, David Provan:
Using language models for improving speech recognition for U.S. Open Tennis Championships. IBM J. Res. Dev. 61(4-5): 15:1-15:9 (2017)- 2016
- [j3]Aaron K. Baughman, Richard J. Bogdany, Benjie Harrison, Brian O'Connell, Herbert D. Pearthree, Brandon Frankel, Cameron McAvoy, Sandy Sun, Clay Upton:
IBM Predicts Cloud Computing Demand for Sports Tournaments. Interfaces 46(1): 33-48 (2016) - 2015
- [j2]Aaron K. Baughman, Richard J. Bogdany, Cameron McAvoy, Richard A. Locke, Brian O'Connell, Clay Upton:
Predictive Cloud Computing with Big Data: Professional Golf and Tennis Forecasting [Application Notes]. IEEE Comput. Intell. Mag. 10(3): 62-76 (2015) - 2014
- [j1]Aaron K. Baughman, Wesley Chuang, Kevin R. Dixon, Zachary Benz, Justin Basilico:
DeepQA Jeopardy! Gamification: A Machine-Learning Perspective. IEEE Trans. Comput. Intell. AI Games 6(1): 55-66 (2014)
Conference and Workshop Papers
- 2024
- [c4]Aaron K. Baughman
, Eduardo Morales, Rahul Agarwal, Gozde Akay, Rogério Feris, Tony Johnson, Stephen Hammer, Leonid Karlinsky:
Large Scale Generative AI Text Applied to Sports and Music. KDD 2024: 4784-4792 - 2019
- [c3]Aaron K. Baughman, Eduardo Morales, Gary Reiss, Nancy Greco, Stephen Hammer, Shiqiang Wang:
Detection of Tennis Events from Acoustic Data. MMSports@MM 2019: 91-99 - 2009
- [c2]Aaron K. Baughman, Mweene Monze, Christian Eggenberger, Peter Malkin, Neil Katz, Chris Dawson, Barry Graham:
Exploring an evolutionary medical analytic wallet. GECCO (Companion) 2009: 1987-1992 - 2008
- [c1]Aaron K. Baughman:
Evolutionary facial feature selection. GECCO (Companion) 2008: 2099-2104
Parts in Books or Collections
- 2015
- [p2]Aaron K. Baughman, Jia-Yu Pan, Jiang John Gao, Valery A. Petrushin:
Disruptive Innovation: Large Scale Multimedia Data Mining. Multimedia Data Mining and Analytics 2015: 3-28 - [p1]Stefan van der Stockt, Aaron K. Baughman, Michael Perlitz:
Large-Scale Biometric Multimedia Processing. Multimedia Data Mining and Analytics 2015: 177-204
Editorship
- 2015
- [e2]Aaron K. Baughman, Jiang John Gao, Jia-Yu Pan, Valery A. Petrushin:
Multimedia Data Mining and Analytics - Disruptive Innovation. Springer 2015, ISBN 978-3-319-14997-4 [contents] - 2013
- [e1]Aaron K. Baughman, Jia-Yu Pan, Jiang John Gao, Yu-Ru Lin, Vincent Oria:
Proceedings of the Thirteenth International Workshop on Multimedia Data Mining, MDMKDD 2013, Chicago, Illinois, USA, August 11, 2013. ACM 2013, ISBN 978-1-4503-2333-8 [contents]
Informal and Other Publications
- 2024
- [i4]Aaron K. Baughman, Stephen Hammer, Rahul Agarwal, Gozde Akay, Eduardo Morales, Tony Johnson, Leonid Karlinsky, Rogério Feris:
Large Scale Generative AI Text Applied to Sports and Music. CoRR abs/2402.15514 (2024) - 2022
- [i3]Aaron K. Baughman, Kavitha Yogaraj, Raja Hebbar, Sudeep Ghosh, Rukhsan Ul Haq, Yoshika Chhabra:
Study of Feature Importance for Quantum Machine Learning Models. CoRR abs/2202.11204 (2022) - 2021
- [i2]Aaron K. Baughman, Daniel Bohm, Micah Forster, Eduardo Morales, Jeff Powell, Shaun McPartlin, Raja Hebbar, Kavitha Yogaraj, Yoshika Chhabra, Sudeep Ghosh, Rukhsan Ul Haq, Arjun Kashyap:
Large Scale Diverse Combinatorial Optimization: ESPN Fantasy Football Player Trades. CoRR abs/2111.02859 (2021) - [i1]Aaron K. Baughman, Micah Forester, Jeff Powell, Eduardo Morales, Shaun McPartlin, Daniel Bohm:
Deep Artificial Intelligence for Fantasy Football Language Understanding. CoRR abs/2111.02874 (2021)
Coauthor Index
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