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Yannis A Guzman

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

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Expert Review of Proteomics|December 7, 2013
Proteomics for the discovery of biomarkers and diagnosis of periodontitis: a critical reviewYannis A Guzman, Dimitra Sakellari, Minas Arsenakis, et al.
International Symposium on Process Systems Engineering|December 12, 2018
Simultaneous Fault Detection and Identification in Continuous Processes via nonlinear Support Vector Machine based Feature SelectionMelis Onel, Chris A Kieslich, Yannis A Guzman, et al.
Plos One|February 10, 2016
Highly Accurate Structure-Based Prediction of HIV-1 Coreceptor Usage Suggests Intermolecular Interactions Driving TropismChris A Kieslich, Phanourios Tamamis, Yannis A Guzman, et al.
Computers & Chemical Engineering|November 3, 2018
Big Data Approach to Batch Process Monitoring: Simultaneous Fault Detection and Diagnosis Using Nonlinear Support Vector Machine-based Feature SelectionMelis Onel, Chris A Kieslich, Yannis A Guzman, et al.
Journal of Clinical Periodontology|November 30, 2012
Discovery of biomarker combinations that predict periodontal health or disease with high accuracy from GCF samples based on high-throughput proteomic analysis and mixed-integer linear optimizationRichard C Baliban, Dimitra Sakellari, Zukui Li, et al.
Proteins|February 28, 2017
Princeton_TIGRESS 2.0: High refinement consistency and net gains through support vector machines and molecular dynamics in double-blind predictions during the CASP11 experimentGeorge A Khoury, James Smadbeck, Chris A Kieslich, et al.
Pageof 1

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

Sort By:
Pageof 1
Expert Review of Proteomics|December 7, 2013
Proteomics for the discovery of biomarkers and diagnosis of periodontitis: a critical reviewYannis A Guzman, Dimitra Sakellari, Minas Arsenakis, et al.
International Symposium on Process Systems Engineering|December 12, 2018
Simultaneous Fault Detection and Identification in Continuous Processes via nonlinear Support Vector Machine based Feature SelectionMelis Onel, Chris A Kieslich, Yannis A Guzman, et al.
Plos One|February 10, 2016
Highly Accurate Structure-Based Prediction of HIV-1 Coreceptor Usage Suggests Intermolecular Interactions Driving TropismChris A Kieslich, Phanourios Tamamis, Yannis A Guzman, et al.
Computers & Chemical Engineering|November 3, 2018
Big Data Approach to Batch Process Monitoring: Simultaneous Fault Detection and Diagnosis Using Nonlinear Support Vector Machine-based Feature SelectionMelis Onel, Chris A Kieslich, Yannis A Guzman, et al.
Journal of Clinical Periodontology|November 30, 2012
Discovery of biomarker combinations that predict periodontal health or disease with high accuracy from GCF samples based on high-throughput proteomic analysis and mixed-integer linear optimizationRichard C Baliban, Dimitra Sakellari, Zukui Li, et al.
Proteins|February 28, 2017
Princeton_TIGRESS 2.0: High refinement consistency and net gains through support vector machines and molecular dynamics in double-blind predictions during the CASP11 experimentGeorge A Khoury, James Smadbeck, Chris A Kieslich, et al.
Pageof 1