Keyword Search
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Keyword Search Criteria: classification returned 42 record(s)
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Sunday, 07/30/2017
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Classification Using Ensemble Learning Under Weighted Misclassification Loss
Yizhen Xu, Brown University; Tao Liu, Brown University, Dept of Biostatistics; Rami Kantor , Brown Univeresity School of Medicine; Ann Mwangi, Moi University; Michael J Daniels, University of Texas at Austin; Joseph Hogan, Brown University, Dept of Biostatistics
3:05 PM
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Local Nearest Neighbour Classification with Applications to Semi-Supervised Learning
Timothy I. Cannings, Universtiy of Southern California; Thomas Berrett, University of Cambridge; Richard J. Samworth, Statistical Laboratory, University of Cambridge
4:05 PM
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A Bayesian Approach for Correcting Exposure Misclassification in Meta-Analysis
Qinshu Lian, University of Minnesota-Twin cities; Haitao Chu, University of Minnesota
4:20 PM
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A Cautionary Note on the Validation Method for Molecular Classification Studies
Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
4:55 PM
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Monday, 07/31/2017
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Selecting Classification Types for Time-Dependent Covariates to Improve the Marginal Analysis of Longitudinal Data
I-Chen Chen, University of Kentucky; Philip M. Westgate, University of Kentucky
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Data-Driven Penalization for High-Dimensional Regression and Classification Using External Covariates
Britta Velten, EMBL Heidelberg; Wolfgang Huber, EMBL Heidelberg
9:15 AM
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Delayed Greedy Algorithm for Classification and Regression Trees
Kyle Caudle, South Dakota School of Mines and Technology; Larry Pyeatt, South Dakota School of Mines and Technology; Patrick Fleming, South Dakota School of Mines and Technology
9:20 AM
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CLASSIFICATION and REGRESSION TREES and FORESTS for INCOMPLETE DATA from SAMPLE SURVEYS
MoonJung Cho, U.S. Bureau of Labor Statistics; Wei-Yin Loh, University of Wisconsin-Madison; Yuanzhi Li, University of Wisconsin-Madison
9:35 AM
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SVM-CART for Disease Classification
Evan Reynolds, University of Michigan; Mousumi Banerjee, University of Michigan; Brian Callaghan, University of Michigan
9:35 AM
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Evaluating Classification Performance of Biomarkers in Two-Phase Case-Control Studies
Lu Wang, Fred Hutchinson Cancer Research Center; Ying Huang, Fred Hutchinson Cancer Research Center
10:05 AM
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Photometric Classification of Supernova with Biased Training Set
David Van Dyk, Imperial College London; Roberto Trotta, Imperial College London; Esben Revsbech, Imperial College London
10:35 AM
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Selecting Classification Types for Time-Dependent Covariates to Improve the Marginal Analysis of Longitudinal Data
I-Chen Chen, University of Kentucky; Philip M. Westgate, University of Kentucky
10:40 AM
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Classification Using the Morlet Transform for fMRI Data
Debashis Ghosh, Colorado School of Public Health; Manish Dalwani, Colorado School of Medicine
11:25 AM
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Functional Classification with Missing Data
Crystal Shaw, CSU Northridge; Majid Mojirsheibani, CSU Northridge
11:50 AM
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Microbiome Data Classification Under Sampling Zeros
Zachary Kurtz; Christian Müller, Flat Iron Institute, Simons Foundation; Richard Bonneau, Flat Iron Institute, Simons Foundation
3:25 PM
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Tuesday, 08/01/2017
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Big Data Noise Accumulation in Classification with Random Forest
Dongseok Choi, Oregon Health & Science Univ; Miriam R Elman, Oregon Health & Science University
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Robust Feature Selection and Cell Line Classification with Electric Cell-Substrate Impedance Sensing Data
Megan Gelsinger, Cornell University; David S Matteson, Cornell University; Laurie Tupper, Williams College
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Learning from Imbalanced Data: a Review of Some Existing Methodologies
Josephine Akosa, Oklahoma State University; Melinda McCann, Oklahoma State University
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Tests and Classifications in Adaptive Designs with Applications
Qiusheng Chen, Florida State University; Xufeng Niu, Florida State University
8:35 AM
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Adjusting for Misclassification in Observational Studies: Getting from Cleaner to Messier Scenarios
Tanja Högg, University of British Columbia; Paul Gustafson, University of British Columbia; Yinshan Zhao, BC Center for Improved Cardiovasular Health ; John Petkau, University of British Columbia; Helen Tremlett, University of British Columbia
8:35 AM
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Robust Feature Selection and Cell Line Classification with Electric Cell-Substrate Impedance Sensing Data
Megan Gelsinger, Cornell University; David S Matteson, Cornell University; Laurie Tupper, Williams College
8:50 AM
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An Application of High-Dimensional Multiclass Classification Methods to Listeria Monocytogenes Whole Genome Multilocus Sequence Typing Data
Sunkyung Kim, Centers for Disease Control and Prevention; Gordana Derado, Centers for Disease Control and Prevention; Anna J Blackstock, Centers for Disease Control and Prevention; Conrad Amanda, Centers for Disease Control and Prevention; Heather Carleton, Centers for Disease Control and Prevention
9:20 AM
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Independent Validation: New Method to Measure Classification Accuracy for Model-Free Group Comparison
Bommae Kim, Federal Reserve Bank of Kansas City; Timo von Oertzen, University of the Federal Defense Forces
9:50 AM
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Learning from Imbalanced Data: a Review of Some Existing Methodologies
Josephine Akosa, Oklahoma State University; Melinda McCann, Oklahoma State University
11:05 AM
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Big effects of negative results in Big Data: classification errors with differential effects arise from unmodeled latent classes in value-added modeling
Futoshi Yumoto, Collaborative for Research on Outcomes and Metrics; Comcasts; Rochelle E Tractenberg, Georgetown University
2:35 PM
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Enhancements to Graph-Theoretic Approaches to the Multivariate Two-Sample Problem
David Ruth, US Navy; Samuel Buttrey, Naval Postgraduate School
2:50 PM
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A Bayesian Approach to Misclassified Binary Response: Female Employment and Intimate Partner Violence in Urban India
Joon Jin Song, Baylor University; Yoo-Mi Chin, Baylor University; James Stamey, Baylor University
3:20 PM
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Wednesday, 08/02/2017
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Support Vector Machine with Confidence
Haomiao Meng, Binghamton University; Wenbo Wang, Binghamton University; Xingye Qiao, Binghamton University
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Missing Data Imputation Using Regression and Classification Tree Software GUIDE
Hyunshik Lee, Westat
8:50 AM
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Support Vector Machine with Confidence
Haomiao Meng, Binghamton University; Wenbo Wang, Binghamton University; Xingye Qiao, Binghamton University
9:00 AM
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Subgroup Identification of Early Preterm Birth (EPTB): Informing a Future Prospective Enrichment Clinical Trial Design
Chuanwu Zhang, University of Kansas Medical Center
9:05 AM
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Multi-Dimensional Classification with Semiparametric Mixture Model
Anqi Yin; Ao Yuan, Georgetown University
9:20 AM
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Evaluation of a New Approach for Estimating the Number of U.S. Farms
Habtamu Benecha, USDA National Agricultural Statistics Service; Denise A Abreu, USDA/NASS; Linda J. Young, USDA National Agricultural Statistics Service
10:35 AM
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Online Learning for Multi-Class Classification with Applications to Communication Network Traffic Management
Henry Lu, National Chiao Tung University
10:50 AM
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Optimal Design for Classification of Functional Data
Cai Li, North Carolina State University; Luo Xiao, North Carolina State University
2:35 PM
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Topological Probabilistic Classification (TopProC)
Fairul Mohd-Zaid, Air Force Research Lab; Christine Schubert Kabban, Air Force Institute of Technology
3:05 PM
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Accounting for Tumor Purity Improves Cancer Subtype Classification from DNA Methylation Data
Hao Wu, Emory University
3:20 PM
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Network Classification with Applications to Brain Connectomics
Jesus Daniel Arroyo Relion; Daniel Kessler, University of Michigan; Liza Levina, University of Michigan; Stephan F. Taylor, University of Michigan
3:20 PM
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Thursday, 08/03/2017
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Decision Making in Hierarchical Multi-Label Classification (HMC) Problems with Applications to Disease Diagnosis
Haiyan Huang, Univ of California at Berkeley
8:55 AM
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Statistial Learning in Gender Classification for Facial Images
Cuixian Chen, University of North Carolina, Wilmington; Yishi Wang, University of North Carolina Wilmington
9:20 AM
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Classification of Protein Binding Ligands Using Their Structural Information
Galkande A. Iresha Premarathna, Texas Tech University; Leif Ellingson, Texas Tech University
11:05 AM
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Spatial Time Series Classification with Applications to Wind Energy
Laurie Tupper, Williams College; David S Matteson, Cornell University; C. Lindsay Anderson, Cornell University
11:50 AM
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