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Modeling non-uniform uncertainty in Reaction Prediction via Boosting and Dropout.

T. Guo, C. Ma, X. Chen, B. Nan, K. Guo, S. Pei, N. Chawla, O. Wiest, and X. Zhang. CoRR, (2023)

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Changsheng Liu

Changsheng Huang

Changsheng Zhao

Yuzhao Ma

Characterization of higher order modes in optical fibersY. Ma. Uni Erlangen-Nürnberg, (2009)

Jingxiang Ma

Other publications of authors with the same name

Insight Ease: A System for Automated Data-driven Healthcare Insight Generation.Y. Zhang, C. Ma, J. Dong, E. Xia, B. Hao, J. Mei, Y. Qin, S. Li, W. Sun, Z. Zhang and 1 other author(s). ICHI, page 1-7. IEEE, (2019)BDMF: A Biased Deep Matrix Factorization Model for Recommendation.C. Ma, J. Li, P. Pan, G. Li, and J. Du. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, page 1039-1045. IEEE, (2019)Outcome-Driven Clustering of Acute Coronary Syndrome Patients Using Multi-Task Neural Network with Attention.E. Xia, X. Du, J. Mei, W. Sun, S. Tong, Z. Kang, J. Sheng, J. Li, C. Ma, J. Dong and 1 other author(s). MedInfo, volume 264 of Studies in Health Technology and Informatics, page 457-461. IOS Press, (2019)A Property-Guided Diffusion Model For Generating Molecular Graphs.C. Ma, T. Guo, Q. Yang, X. Chen, X. Gao, S. Liang, N. Chawla, and X. Zhang. ICASSP, page 2365-2369. IEEE, (2024)Counterfactual Learning on Heterogeneous Graphs with Greedy Perturbation.Q. Yang, C. Ma, Q. Zhang, X. Gao, C. Zhang, and X. Zhang. KDD, page 2988-2998. ACM, (2023)Improving Anticoagulant Treatment Strategies of Atrial Fibrillation Using Reinforcement Learning.L. Zuo, X. Du, W. Zhao, C. Jiang, S. Xia, L. He, R. Liu, R. Tang, R. Bai, J. Dong and 4 other author(s). AMIA, AMIA, (2020)DeepComp: Which Competing Event Will Hit the Patient First?Y. Li, W. Jia, Y. Kang, T. Chen, X. Li, X. Du, J. Dong, C. Ma, F. Wang, and G. Xie. BIBM, page 629-636. IEEE, (2020)Using CT texture analysis to differentiate between peripheral lung cancer and pulmonary inflammatory pseudotumor.C. Liu, C. Ma, J. Duan, Q. Qiu, Y. Guo, Z. Zhang, and Y. Yin. BMC Medical Imaging, 20 (1): 75 (2020)GF-VAE: A Flow-based Variational Autoencoder for Molecule Generation.C. Ma, and X. Zhang. CIKM, page 1181-1190. ACM, (2021)Modeling non-uniform uncertainty in Reaction Prediction via Boosting and Dropout.T. Guo, C. Ma, X. Chen, B. Nan, K. Guo, S. Pei, N. Chawla, O. Wiest, and X. Zhang. CoRR, (2023)

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Disambiguation of "Ma, Changsheng"

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Modeling non-uniform uncertainty in Reaction Prediction via Boosting and Dropout.

Please choose a person to relate this publication to

Changsheng Liu

Changsheng Huang

Changsheng Zhao

Yuzhao Ma

Jingxiang Ma

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ma, Changsheng"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Modeling non-uniform uncertainty in Reaction Prediction via Boosting and Dropout.

Please choose a person to relate this publication to

Changsheng Liu

Changsheng Huang

Changsheng Zhao

Yuzhao Ma

Jingxiang Ma

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

Modeling non-uniform uncertainty in Reaction Prediction via Boosting and Dropout.