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Alok Choudhary

Showing results (11-20 of 63) with videos related to

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Molecular Informatics|September 11, 2019
Property Prediction of Organic Donor Molecules for Photovoltaic Applications Using Extremely Randomized TreesArindam Paul, Alona Furmanchuk, Wei-Keng Liao, et al.
Neural Networks : the Official Journal of the International Neural Network Society|May 27, 2014
Incorporating conditional random fields and active learning to improve sentiment identificationKunpeng Zhang, Yusheng Xie, Yi Yang, et al.
Scientific Reports|June 24, 2015
A predictive machine learning approach for microstructure optimization and materials designRuoqian Liu, Abhishek Kumar, Zhengzhang Chen, et al.
Journal of Virology|December 15, 2017
Identification of Novel Structural Determinants in MW965 Env That Regulate the Neutralization Phenotype and Conformational Masking Potential of Primary HIV-1 IsolatesZakiya M Qualls, Alok Choudhary, William Honnen, et al.
Nature Communications|July 17, 2020
Author Correction: Enhancing materials property prediction by leveraging computational and experimental data using deep transfer learningDipendra Jha, Kamal Choudhary, Francesca Tavazza, et al.
Journal of Computational Chemistry|September 30, 2017
Prediction of seebeck coefficient for compounds without restriction to fixed stoichiometry: A machine learning approachAl'ona Furmanchuk, James E Saal, Jeff W Doak, et al.
Journal of the American Medical Informatics Association : JAMIA|March 30, 2013
Development of a 5 year life expectancy index in older adults using predictive mining of electronic health record dataJason Scott Mathias, Ankit Agrawal, Joe Feinglass, et al.
Integrating Materials and Manufacturing Innovation|December 19, 2022
Generative Adversarial Networks and Mixture Density Networks-Based Inverse Modeling for Microstructural Materials DesignYuwei Mao, Zijiang Yang, Dipendra Jha, et al.
Scientific Reports|December 6, 2018
ElemNet: Deep Learning the Chemistry of Materials From Only Elemental CompositionDipendra Jha, Logan Ward, Arindam Paul, et al.
Nature Communications|November 24, 2019
Enhancing materials property prediction by leveraging computational and experimental data using deep transfer learningDipendra Jha, Kamal Choudhary, Francesca Tavazza, et al.
Pageof 7

Showing results (11-20 of 63) with videos related to

Sort By:
Pageof 7
Molecular Informatics|September 11, 2019
Property Prediction of Organic Donor Molecules for Photovoltaic Applications Using Extremely Randomized TreesArindam Paul, Alona Furmanchuk, Wei-Keng Liao, et al.
Neural Networks : the Official Journal of the International Neural Network Society|May 27, 2014
Incorporating conditional random fields and active learning to improve sentiment identificationKunpeng Zhang, Yusheng Xie, Yi Yang, et al.
Scientific Reports|June 24, 2015
A predictive machine learning approach for microstructure optimization and materials designRuoqian Liu, Abhishek Kumar, Zhengzhang Chen, et al.
Journal of Virology|December 15, 2017
Identification of Novel Structural Determinants in MW965 Env That Regulate the Neutralization Phenotype and Conformational Masking Potential of Primary HIV-1 IsolatesZakiya M Qualls, Alok Choudhary, William Honnen, et al.
Nature Communications|July 17, 2020
Author Correction: Enhancing materials property prediction by leveraging computational and experimental data using deep transfer learningDipendra Jha, Kamal Choudhary, Francesca Tavazza, et al.
Journal of Computational Chemistry|September 30, 2017
Prediction of seebeck coefficient for compounds without restriction to fixed stoichiometry: A machine learning approachAl'ona Furmanchuk, James E Saal, Jeff W Doak, et al.
Journal of the American Medical Informatics Association : JAMIA|March 30, 2013
Development of a 5 year life expectancy index in older adults using predictive mining of electronic health record dataJason Scott Mathias, Ankit Agrawal, Joe Feinglass, et al.
Integrating Materials and Manufacturing Innovation|December 19, 2022
Generative Adversarial Networks and Mixture Density Networks-Based Inverse Modeling for Microstructural Materials DesignYuwei Mao, Zijiang Yang, Dipendra Jha, et al.
Scientific Reports|December 6, 2018
ElemNet: Deep Learning the Chemistry of Materials From Only Elemental CompositionDipendra Jha, Logan Ward, Arindam Paul, et al.
Nature Communications|November 24, 2019
Enhancing materials property prediction by leveraging computational and experimental data using deep transfer learningDipendra Jha, Kamal Choudhary, Francesca Tavazza, et al.
Pageof 7