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D Frank Hsu

Showing results (1-10 of 13) with videos related to

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Sensors (Basel, Switzerland)|February 15, 2022
Improving SDG Classification Precision Using Combinatorial FusionD Frank Hsu, Marcelo T LaFleur, Ilyas Orazbek
International Journal of Computational Biology and Drug Design|July 23, 2011
Computational intelligence in biomedical informaticsPing-Tsai Chung, D Frank Hsu, Hui-Huang Hsu
Brain Informatics|October 18, 2016
The diversity rank-score function for combining human visual perception systemsChristina Schweikert, Darius Mulia, Kilby Sanchez, et al.
Brain Informatics|October 18, 2016
On the combination of two visual cognition systems using combinatorial fusionAmy Batallones, Kilby Sanchez, Brian Mott, et al.
BMC Genomics|January 4, 2013
Combining multiple ChIP-seq peak detection systems using combinatorial fusionChristina Schweikert, Stuart Brown, Zuojian Tang, et al.
Journal of Chemical Information and Modeling|July 28, 2005
Consensus scoring criteria for improving enrichment in virtual screeningJinn-Moon Yang, Yen-Fu Chen, Tsai-Wei Shen, et al.
Patterns (New York, N.Y.)|March 15, 2024
The DIRAC framework: Geometric structure underlies roles of <i>diversity</i> and <i>accuracy</i> in combining classifiersMatthew J Sniatynski, John A Shepherd, Lynne R Wilkens, et al.
Patterns (New York, N.Y.)|February 24, 2022
Ranks underlie outcome of combining classifiers: Quantitative roles for <i>diversity</i> and <i>accuracy</i>Matthew J Sniatynski, John A Shepherd, Thomas Ernst, et al.
International Journal of Computational Biology and Drug Design|July 23, 2011
LigSeeSVM: ligand-based virtual screening using support vector machines and data fusionYen-Fu Chen, Kai-Cheng Hsu, Po-Tsun Lin, et al.
Journal of Chemical Information and Modeling|April 2, 2021
Improving Data and Prediction Quality of High-Throughput Perovskite Synthesis with Model FusionYuanqing Tang, Zhi Li, Mansoor Ani Najeeb Nellikkal, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Sensors (Basel, Switzerland)|February 15, 2022
Improving SDG Classification Precision Using Combinatorial FusionD Frank Hsu, Marcelo T LaFleur, Ilyas Orazbek
International Journal of Computational Biology and Drug Design|July 23, 2011
Computational intelligence in biomedical informaticsPing-Tsai Chung, D Frank Hsu, Hui-Huang Hsu
Brain Informatics|October 18, 2016
The diversity rank-score function for combining human visual perception systemsChristina Schweikert, Darius Mulia, Kilby Sanchez, et al.
Brain Informatics|October 18, 2016
On the combination of two visual cognition systems using combinatorial fusionAmy Batallones, Kilby Sanchez, Brian Mott, et al.
BMC Genomics|January 4, 2013
Combining multiple ChIP-seq peak detection systems using combinatorial fusionChristina Schweikert, Stuart Brown, Zuojian Tang, et al.
Journal of Chemical Information and Modeling|July 28, 2005
Consensus scoring criteria for improving enrichment in virtual screeningJinn-Moon Yang, Yen-Fu Chen, Tsai-Wei Shen, et al.
Patterns (New York, N.Y.)|March 15, 2024
The DIRAC framework: Geometric structure underlies roles of <i>diversity</i> and <i>accuracy</i> in combining classifiersMatthew J Sniatynski, John A Shepherd, Lynne R Wilkens, et al.
Patterns (New York, N.Y.)|February 24, 2022
Ranks underlie outcome of combining classifiers: Quantitative roles for <i>diversity</i> and <i>accuracy</i>Matthew J Sniatynski, John A Shepherd, Thomas Ernst, et al.
International Journal of Computational Biology and Drug Design|July 23, 2011
LigSeeSVM: ligand-based virtual screening using support vector machines and data fusionYen-Fu Chen, Kai-Cheng Hsu, Po-Tsun Lin, et al.
Journal of Chemical Information and Modeling|April 2, 2021
Improving Data and Prediction Quality of High-Throughput Perovskite Synthesis with Model FusionYuanqing Tang, Zhi Li, Mansoor Ani Najeeb Nellikkal, et al.
Pageof 2