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2020 – today
- 2025
[e2]Xuhai Orson Xu, Edward Choi, Pankhuri Singhal, Walter Gerych, Shengpu Tang, Monica Agrawal, Adarsh Subbaswamy, Elena Sizikova, Jessilyn Dunn, Roxana Daneshjou, Tasmie Sarker, Matthew McDermott, Irene Chen:
Conference on Health, Inference, and Learning, UC Berkeley, Berkeley, USA, 25-27 June 2025. Proceedings of Machine Learning Research 287, PMLR 2025 [contents]- [i3]Keren Fuentes, Mimee Xu, Irene Chen:
Privacy-Preserving Dataset Combination. CoRR abs/2502.05765 (2025) - [i2]Neha Hulkund, Alaa Maalouf, Levi Cai, Daniel Yang, Tsun-Hsuan Wang, Abigail O'Neil, Timm Haucke, Sandeep Mukherjee, Vikram Ramaswamy, Judy Hansen Shen, Gabriel Tseng, Mike Walmsley, Daniela Rus, Ken Goldberg, Hannah Kerner, Irene Chen, Yogesh A. Girdhar, Sara Beery:
DataS^3: Dataset Subset Selection for Specialization. CoRR abs/2504.16277 (2025) - 2024
- [e1]Tom Pollard, Edward Choi, Pankhuri Singhal, Michael Hughes, Elena Sizikova, Bobak Mortazavi, Irene Chen, Fei Wang, Tasmie Sarker, Matthew McDermott, Marzyeh Ghassemi:
Conference on Health, Inference, and Learning, New York, NY, USA, 27-28 June 2024. Proceedings of Machine Learning Research 248, PMLR 2024 [contents] - 2021
- [c2]Irene Chen, Jennifer L. Gibbs, Junchao Lin:
Understanding and Designing for Disaster Preparation on Social Media. CHI Extended Abstracts 2021: 441:1-441:6 - [c1]Hsuan-Yu Hsueh, Chien-Hua Chen, Irene Chen, Chih-Yuan Yao, Hung-Kuo Chu
:
ARToken: A Tangible Device for Dynamically Binding Real-world Objects with Virtual Representation. UbiComp/ISWC Adjunct 2021: 560-564
2010 – 2019
- 2018
- [i1]Natalia Antropova, Andrew L. Beam, Brett K. Beaulieu-Jones, Irene Chen, Corey Chivers, Adrian V. Dalca, Samuel G. Finlayson, Madalina Fiterau, Jason Alan Fries, Marzyeh Ghassemi, Mike Hughes, Bruno Jedynak, Jasvinder S. Kandola, Matthew B. A. McDermott, Tristan Naumann, Peter Schulam, Farah Shamout, Alexandre Yahi:
Machine Learning for Health (ML4H) Workshop at NeurIPS 2018. CoRR abs/1811.07216 (2018) - 2011
- [j3]Ping Chen, Irene Chen, Rakesh M. Verma:
Designing an undergraduate data mining course by matching teaching strategies with student learning styles. J. Comput. Sci. Coll. 26(4): 49-56 (2011) - 2010
- [j2]Irene Chen:
Investigating the Role of Service Encounter in Enhancing Customer Satisfaction. Int. J. Syst. Serv. Oriented Eng. 1(4): 19-26 (2010) - [j1]Ping Chen, Irene Chen, Rakesh M. Verma:
Improving an undergraduate data mining course with real-world projects. J. Comput. Sci. Coll. 25(4): 62-67 (2010)
2000 – 2009
- 2007
- [r1]Irene Chen, Terry T. Kidd:
Digital Divide Implications and Trends. Encyclopedia of Information Ethics and Security 2007: 130-135
Coauthor Index
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