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2020 – today
- 2023
[c7]Makiya Nakashima, Donna Salem, HW Wilson Tang, Christopher Nguyen, Tae-Hyun Hwang, Ding Zhao, Byung-Hak Kim, Deborah Kwon, David Chen:
Reducing Contextual Bias in Cardiac Magnetic Resonance Imaging Deep Learning Using Contrastive Self-Supervision. MLHC 2023: 473-488- [i15]Jielin Qiu, Peide Huang, Makiya Nakashima, Jaehyun Lee, Jiacheng Zhu, W. H. Wilson Tang, Pohao Chen, Christopher Nguyen, Byung-Hak Kim, Debbie Kwon, Douglas Weber, Ding Zhao, David Chen:
Multimodal Representation Learning of Cardiovascular Magnetic Resonance Imaging. CoRR abs/2304.07675 (2023) - 2022
- [c6]Byung-Hak Kim, Zhongfen Deng, Philip S. Yu, Varun Ganapathi:
Can Current Explainability Help Provide References in Clinical Notes to Support Humans Annotate Medical Codes? LOUHI@EMNLP 2022: 26-34 - [i14]Byung-Hak Kim, Zhongfen Deng, Philip S. Yu, Varun Ganapathi:
Can Current Explainability Help Provide References in Clinical Notes to Support Humans Annotate Medical Codes? CoRR abs/2210.15882 (2022) - [i13]Byung-Hak Kim:
Medical Codes Prediction from Clinical Notes: From Human Coders to Machines. CoRR abs/2210.16850 (2022) - [i12]Weiyao Wang, Byung-Hak Kim, Varun Ganapathi:
RegCLR: A Self-Supervised Framework for Tabular Representation Learning in the Wild. CoRR abs/2211.01165 (2022) - 2021
- [c5]Byung-Hak Kim, Varun Ganapathi:
Read, Attend, and Code: Pushing the Limits of Medical Codes Prediction from Clinical Notes by Machines. MLHC 2021: 196-208 - [i11]Byung-Hak Kim, Varun Ganapathi:
Read, Attend, and Code: Pushing the Limits of Medical Codes Prediction from Clinical Notes by Machines. CoRR abs/2107.10650 (2021) - 2020
- [i10]Byung-Hak Kim, Seshadri Sridharan, Andy Atwal, Varun Ganapathi:
Deep Claim: Payer Response Prediction from Claims Data with Deep Learning. CoRR abs/2007.06229 (2020)
2010 – 2019
- 2019
- [i9]Byung-Hak Kim:
Deep Learning to Predict Student Outcomes. CoRR abs/1905.02530 (2019) - [i8]Byung-Hak Kim, Varun Ganapathi:
LumièreNet: Lecture Video Synthesis from Audio. CoRR abs/1907.02253 (2019) - 2018
- [c4]Byung-Hak Kim, Ethan Vizitei, Varun Ganapathi:
GritNet: Student Performance Prediction with Deep Learning. EDM 2018 - [i7]Byung-Hak Kim, Ethan Vizitei, Varun Ganapathi:
GritNet: Student Performance Prediction with Deep Learning. CoRR abs/1804.07405 (2018) - [i6]Byung-Hak Kim, Ethan Vizitei, Varun Ganapathi:
GritNet 2: Real-Time Student Performance Prediction with Domain Adaptation. CoRR abs/1809.06686 (2018) - 2017
- [c3]Kyu Jeong Han, Seongjun Hahm, Byung-Hak Kim, Jungsuk Kim, Ian R. Lane:
Deep Learning-Based Telephony Speech Recognition in the Wild. INTERSPEECH 2017: 1323-1327 - 2011
- [j1]Byung-Hak Kim, Henry D. Pfister
:
Joint Decoding of LDPC Codes and Finite-State Channels Via Linear-Programming. IEEE J. Sel. Top. Signal Process. 5(8): 1563-1576 (2011) - [c2]Byung-Hak Kim, Henry D. Pfister:
An Iterative Joint Linear-Programming Decoding of LDPC Codes and Finite-State Channels. ICC 2011: 1-6 - [i5]Byung-Hak Kim, Henry D. Pfister:
Joint Decoding of LDPC Codes and Finite-State Channels via Linear-Programming. CoRR abs/1102.1480 (2011) - 2010
- [c1]Byung-Hak Kim, Henry D. Pfister:
On the joint decoding of LDPC codes and finite-state channels via linear programming. ISIT 2010: 754-758 - [i4]Byung-Hak Kim, Arvind Yedla, Henry D. Pfister:
Message-Passing Inference on a Factor Graph for Collaborative Filtering. CoRR abs/1004.1003 (2010) - [i3]Byung-Hak Kim, Henry D. Pfister:
On the Joint Decoding of LDPC Codes and Finite-State Channels via Linear Programming. CoRR abs/1005.0052 (2010) - [i2]Byung-Hak Kim, Arvind Yedla, Henry D. Pfister:
IMP: A Message-Passing Algorithmfor Matrix Completion. CoRR abs/1007.0481 (2010) - [i1]Byung-Hak Kim, Henry D. Pfister:
An Iterative Joint Linear-Programming Decoding of LDPC Codes and Finite-State Channels. CoRR abs/1009.4352 (2010)
Coauthor Index
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