Keyword Search
Legend:
CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme
|
Keyword Search Criteria: Classification returned 89 record(s)
|
|
Sunday, 07/30/2017
|
A Maximum Likelihood Approach for Non-Invasive Cancer Diagnosis Using Methylation Profiling of Cell-Free DNA from Blood
Carol Sun, Oak Park High School; Wenyuan Li, UCLA
2:50 PM
|
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
|
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
|
Sequential Outcome-Weighted Multicategory Learning for Estimating Optimal Individualized Treatment Rules
Xuan Zhou
4:20 PM
|
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
|
An Active Learning Approach to Record Linkage
Kayla Frisoli, Carnegie Mellon University; Sam Ventura, Carnegie Mellon University; Jared S Murray, Carnegie Mellon University; Stephen Fienberg, Carnegie Mellon University
4:20 PM
|
Empirical Likelihood Estimator of Causal Effect under Subclassification
Junvie Pailden, Southern Illinois University Edwardsville
4:35 PM
|
A Cautionary Note on the Validation Method for Molecular Classification Studies
Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
4:55 PM
|
|
Monday, 07/31/2017
|
Generalized Youden's Index to Derive the Optimal Thresholds for Discriminant Analysis
Kelly H. Zou, Pfizer Inc; Ching-Ray Yu, Pfizer Inc; Jason Pan, Pfizer Inc; Dhaval Patel, Pfizer Inc; Martin Carlsson, Pfizer Inc
|
Classification-Based Uncertainty in Estimating Surveillance-Based Prevalence
Clinton Alverson, CDC/NCBDDD/DCDD/BDB
|
Sub-Group Analysis with Nonparametric Unimodal Symmetric Error Distribution
Yizhao Zhou; Ao Yuan, Georgetown University; Ming T Tan, Georgetown University
|
Bayesian Methods for Image Texture Analysis with Applications to Cancer Radiomics
Xiao Li, University of Texas, School of Public Health, Department of Biostatistics; Michele Guindani, University of California, Irvine; Chaan Ng, The University of Texas MD Anderson C; Brian P. Hobbs, The University of Texas MD Anderson Cancer Center
|
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
|
Combining Biomarkers for Risk Prediction Using Approximated Rank Correlation Statistic with Censored Survival Data
Eisuke Inoue, Medical Informatics, St. Marianna University School of Medicine
|
Constrained Functional Clustering of Arctic Sea Ice Extent Data
Tan Tran, Montana State University; Christopher Barbour, Montana State University; Mark Greenwood, Montana State University
|
An Overview of Existing and a Novel Approaches to Multi-Label Classification
Hyukjun Gweon; Matthias Schonlau, University of Waterloo; Stefan Steiner, University of Waterloo
8:35 AM
|
Longitudinally Measured Predictors: Approaches for Sufficient Dimension Reduction
Efstathia Bura, TU Wien; Liliana Forzani, Universidad Nacional del Litoral; Ruth Pfeiffer , National Cancer Institute, NIH, HHS
8:35 AM
|
On Reject and Refine Options in Multicategory Classification
Chong Zhang, Seattle, Washington ; Wenbo Wang, Binghamton University; Xingye Qiao, Binghamton University
8:55 AM
|
Bin-Weighted Ensemble Classifiers
Karsten Maurer, Miami University; Walter Bennette, Air Force Research Lab
9:05 AM
|
Data-Driven Penalization for High-Dimensional Regression and Classification Using External Covariates
Britta Velten, EMBL Heidelberg; Wolfgang Huber, EMBL Heidelberg
9:15 AM
|
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
|
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
|
SVM-CART for Disease Classification
Evan Reynolds, University of Michigan; Mousumi Banerjee, University of Michigan; Brian Callaghan, University of Michigan
9:35 AM
|
Constrained Functional Clustering of Arctic Sea Ice Extent Data
Tan Tran, Montana State University; Christopher Barbour, Montana State University; Mark Greenwood, Montana State University
9:50 AM
|
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
|
Sample Size Methods for Developing Predictors from Genomic Data
Kevin Dobbin, University of Georgia
10:35 AM
|
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
|
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
|
Combining Biomarkers for Risk Prediction Using Approximated Rank Correlation Statistic with Censored Survival Data
Eisuke Inoue, Medical Informatics, St. Marianna University School of Medicine
11:00 AM
|
Bayesian Methods for Image Texture Analysis with Applications to Cancer Radiomics
Xiao Li, University of Texas, School of Public Health, Department of Biostatistics; Michele Guindani, University of California, Irvine; Chaan Ng, The University of Texas MD Anderson C; Brian P. Hobbs, The University of Texas MD Anderson Cancer Center
11:20 AM
|
Classification Using the Morlet Transform for fMRI Data
Debashis Ghosh, Colorado School of Public Health; Manish Dalwani, Colorado School of Medicine
11:25 AM
|
Functional Classification with Missing Data
Crystal Shaw, CSU Northridge; Majid Mojirsheibani, CSU Northridge
11:50 AM
|
An Integrative Model for Assessing Multimodal Neuroimaging Signatures of Post-Traumatic Stress Disorder
Fengqing Zhang, Drexel University; Xin Niu, Drexel University
11:55 AM
|
Graph-Based Sparse Linear Discriminant Analysis for High-Dimensional Classification
Jianyu Liu, University of North Carolina at Chapel Hill; Guan Yu, State University of New York at Buffalo; Yufeng Liu, University of North Carolina
2:05 PM
|
Novel Statistical Approaches for Mining Big Text Data
Ke Deng, Tsinghua University; Jun Liu, Harvard University
3:20 PM
|
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
|
|
Tuesday, 08/01/2017
|
Big Data Noise Accumulation in Classification with Random Forest
Dongseok Choi, Oregon Health & Science Univ; Miriam R Elman, Oregon Health & Science University
|
Construction of ROC Curves for Measurement Error Models as Classifiers
Mengru Zhang, Stony Brook University; Song Wu, Stony Brook University; Christine DeLorenzo, Stony Brook University; Jie Yang, Stony Brook University
|
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
|
Learning from Imbalanced Data: a Review of Some Existing Methodologies
Josephine Akosa, Oklahoma State University; Melinda McCann, Oklahoma State University
|
Tests and Classifications in Adaptive Designs with Applications
Qiusheng Chen, Florida State University; Xufeng Niu, Florida State University
8:35 AM
|
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
|
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
|
Stability, Uncertainty, and Bayesian Learning
Chris Holmes, University of Oxford
9:00 AM
|
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
|
Analysis of Multi-State Models with Misclassied States
Grace Y Yi, University of Waterloo; Wenqing He, University of Western Ontario
9:50 AM
|
Regularized Discriminant Analysis in Presence of Cellwise Contamination
Stephanie Aerts, University of Liège; Ines Wilms, KU Leuven
9:50 AM
|
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
|
Nonparametric Variable Screening and Preselection for Functional Data with Application to Time Course Gene Expression Profiles
Jan Gertheiss, Clausthal University of Technology
10:55 AM
|
Learning from Imbalanced Data: a Review of Some Existing Methodologies
Josephine Akosa, Oklahoma State University; Melinda McCann, Oklahoma State University
11:05 AM
|
A Permutation-Based Model for Crowdsourcing: Optimal Estimation and Robustness
Nihar B Shah, Univ of California - Berkeley; Sivaraman Balakrishnan, Department of Statistics, CMU; Martin J. Wainwright, EECS and Statistics, University of California, Berkeley
11:15 AM
|
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
|
Predicting Market Segment Membership Using Deep Learning
Lynd Bacon, LBA Ltd. | Northwestern Univ. | Notre Dame Univ.
2:35 PM
|
Enhancements to Graph-Theoretic Approaches to the Multivariate Two-Sample Problem
David Ruth, US Navy; Samuel Buttrey, Naval Postgraduate School
2:50 PM
|
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
|
|
Wednesday, 08/02/2017
|
Use of Markov Chains in Process Control with the Incorporation of Possible Inspection Errors
William Griffith, University of Kentucky; Michelle L. Smith, Eastern Kentucky University
|
Using AdaBoost for Imbalanced Traffic Crash Injury Data Analysis
Chenhui Liu, Iowa State University; Anuj Sharma, Iowa State University
|
Grapheme, Phoneme, Morpheme: Features for Text Classification
Taylor Arnold, University of Richmond
|
Magic Cross-Validation with Applications in Kernel Smooth Margin Classifiers
Boxiang Wang; Hui Zou, University of Minnesota
|
Support Vector Machine with Confidence
Haomiao Meng, Binghamton University; Wenbo Wang, Binghamton University; Xingye Qiao, Binghamton University
|
Building Comprehensive Searches Through a Machine Learning Approach for Systematic Reviews
Corrado Lanera, University of Padova; Ileana Baldi, University of Padova; Clara Minto, University of Padova; Dario Gregori, University of Padova; Paola Berchialla, University of Torino
|
Grapheme, Phoneme, Morpheme: Features for Text Classification
Taylor Arnold, University of Richmond
8:35 AM
|
Magic Cross-Validation with Applications in Kernel Smooth Margin Classifiers
Boxiang Wang; Hui Zou, University of Minnesota
8:40 AM
|
Missing Data Imputation Using Regression and Classification Tree Software GUIDE
Hyunshik Lee, Westat
8:50 AM
|
Support Vector Machine with Confidence
Haomiao Meng, Binghamton University; Wenbo Wang, Binghamton University; Xingye Qiao, Binghamton University
9:00 AM
|
Grouping Methods for Estimating the Prevalences of Rare Traits from Complex Survey Data that Preserve Confidentiality of Respondents
Noorie Hyun, National Cancer Institute; Joseph Gastwirth, the George Washington University; Barry I. Graubard, National Cancer Institute
9:05 AM
|
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
|
A Bayesian Lasso Functional Clustering Model
Alejandro Murua, Universite de Montreal; Folly Adjogou, Université de Montréal; Wolfgang Raffelsberger, Institut de Génetique et de Biologie Moléculaire et Cellulaire, Université de Strasbourg
9:15 AM
|
Multi-Dimensional Classification with Semiparametric Mixture Model
Anqi Yin; Ao Yuan, Georgetown University
9:20 AM
|
Challenges in Identifying and Addressing Sources of Uncertainty in Species classifications of Acoustic bat Calls Used for Monitoring
Katharine Banner, Montana State University; Kathi Irvine, US Geological Survey; Tom Rodhouse, National Park Service; Andrea Litt, Montana State University; Wilson Wright, US Geological Survey
9:35 AM
|
Building Comprehensive Searches Through a Machine Learning Approach for Systematic Reviews
Corrado Lanera, University of Padova; Ileana Baldi, University of Padova; Clara Minto, University of Padova; Dario Gregori, University of Padova; Paola Berchialla, University of Torino
10:00 AM
|
How Many Validation Samples Are Needed for Phenotyping Error Correction in EHR-Based Association Studies?
Jing Huang, University of Pennsylvania; Rui Duan, University of Pennsylvania; Rebecca Hubbard, University of Pennsylvania; Hua Xu, The University of Texas Health Science Center at Houston; Yong Chen, University of Pennsylvania
10:05 AM
|
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
|
Online Learning for Multi-Class Classification with Applications to Communication Network Traffic Management
Henry Lu, National Chiao Tung University
10:50 AM
|
Machine Learning Methods in the Statistical Prediction of Health Outcomes
William Padula, Johns Hopkins Bloomberg SPH
10:55 AM
|
Discriminative Power and Variable Selection in Logistic Regression Models under Outcome Misspecification
Jia Bao, NYU Langone Medical Center; Yongzhao Shao, New York University-School of Medicine
11:05 AM
|
Derivative Principal Component Analysis for Representing the Time Dynamics of Longitudinal and Functional Data
Xiongtao Dai, University of California, Davis; Hans-Georg G Müller, University of California, Davis ; Wenwen Tao, Quora
2:05 PM
|
Optimal Design for Classification of Functional Data
Cai Li, North Carolina State University; Luo Xiao, North Carolina State University
2:35 PM
|
Topological Probabilistic Classification (TopProC)
Fairul Mohd-Zaid, Air Force Research Lab; Christine Schubert Kabban, Air Force Institute of Technology
3:05 PM
|
Accounting for Tumor Purity Improves Cancer Subtype Classification from DNA Methylation Data
Hao Wu, Emory University
3:20 PM
|
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
|
|
Thursday, 08/03/2017
|
Decision Making in Hierarchical Multi-Label Classification (HMC) Problems with Applications to Disease Diagnosis
Haiyan Huang, Univ of California at Berkeley
8:55 AM
|
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
|
An Optimal Semiparametric Method for Two-Group Classification
Seungchul Baek, University of South Carolina; Osamu Komori, University of Fukui; Yanyuan Ma, Penn State University
10:35 AM
|
Classification of Protein Binding Ligands Using Their Structural Information
Galkande A. Iresha Premarathna, Texas Tech University; Leif Ellingson, Texas Tech University
11:05 AM
|
Assessment of Driver Behavior at Freeways and Ramps Using SHRP2 Data
Bahar Dadashova, Texas A&M University; Karen Dixon, Texas A&M Transportation Institute; Sue Chrysler, Texas A&M Transportation Institute; Raul Avelar, Texas A&M Transportation Institute
11:35 AM
|
A Finite Mixture Model Approach to Regression Under Covariate Misclassification
Jingyu He; P. Richard Hahn, University of Chicago Booth School of Business; Michelle Xia, Northern Illinois University
11:35 AM
|
INFERENCE for a NONPARAMETRIC MODEL WITHOUT NONPARAMETRIC ESTIMATION
Richard Charnigo, University of Kentucky; Cidambi Srinivasan, University of Kentucky
11:50 AM
|
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
|
|
|
