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Chi Seng Pun

Showing results (1-10 of 6) with videos related to

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European Journal of Operational Research|November 17, 2021
Efficient social distancing during the COVID-19 pandemic: Integrating economic and public health considerationsKexin Chen, Chi Seng Pun, Hoi Ying Wong
Risk Analysis : an Official Publication of the Society for Risk Analysis|April 4, 2017
Big Data Challenges of High-Dimensional Continuous-Time Mean-Variance Portfolio Selection and a RemedyMei Choi Chiu, Chi Seng Pun, Hoi Ying Wong
Plos One|August 22, 2020
Weighted-persistent-homology-based machine learning for RNA flexibility analysisChi Seng Pun, Brandon Yung Sin Yong, Kelin Xia
Angewandte Chemie (International Ed. in English)|February 15, 2024
Creating 3D Nanoparticle Structural Space via Data Augmentation to Bidirectionally Predict Nanoparticle Mixture's Purity, Size, and Shape from Extinction SpectraEmily Xi Tan, Jingxiang Tang, Yong Xiang Leong, et al.
Nanoscale Horizons|May 4, 2022
Incorporating plasmonic featurization with machine learning to achieve accurate and bidirectional prediction of nanoparticle size and size distributionEmily Xi Tan, Yichao Chen, Yih Hong Lee, et al.
Journal of the American Chemical Society|February 14, 2025
Machine Learning-Based SERS Chemical Space for Two-Way Prediction of Structures and Spectra of Untrained MoleculesJaslyn Ru Ting Chen, Emily Xi Tan, Jingxiang Tang, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
European Journal of Operational Research|November 17, 2021
Efficient social distancing during the COVID-19 pandemic: Integrating economic and public health considerationsKexin Chen, Chi Seng Pun, Hoi Ying Wong
Risk Analysis : an Official Publication of the Society for Risk Analysis|April 4, 2017
Big Data Challenges of High-Dimensional Continuous-Time Mean-Variance Portfolio Selection and a RemedyMei Choi Chiu, Chi Seng Pun, Hoi Ying Wong
Plos One|August 22, 2020
Weighted-persistent-homology-based machine learning for RNA flexibility analysisChi Seng Pun, Brandon Yung Sin Yong, Kelin Xia
Angewandte Chemie (International Ed. in English)|February 15, 2024
Creating 3D Nanoparticle Structural Space via Data Augmentation to Bidirectionally Predict Nanoparticle Mixture's Purity, Size, and Shape from Extinction SpectraEmily Xi Tan, Jingxiang Tang, Yong Xiang Leong, et al.
Nanoscale Horizons|May 4, 2022
Incorporating plasmonic featurization with machine learning to achieve accurate and bidirectional prediction of nanoparticle size and size distributionEmily Xi Tan, Yichao Chen, Yih Hong Lee, et al.
Journal of the American Chemical Society|February 14, 2025
Machine Learning-Based SERS Chemical Space for Two-Way Prediction of Structures and Spectra of Untrained MoleculesJaslyn Ru Ting Chen, Emily Xi Tan, Jingxiang Tang, et al.
Pageof 1