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CC = Colorado Convention Center   H = Hyatt Regency Denver at Colorado Convention Center
* = applied session       ! = JSM meeting theme

Activity Details

256 Mon, 7/29/2019, 2:00 PM - 3:50 PM CC-Hall C
Contributed Poster Presentations: Section on Statistical Learning and Data Science — Contributed Poster Presentations
Section on Statistical Learning and Data Science, Text Analysis Interest Group
Chair(s): Wendy Meiring, University of California At Santa Barbara
65: Accounting for Established Predictors with the Multi-Step Elastic Net
Elizabeth C Chase, University of Michigan; Phil Boonstra, University of Michigan
66: Big, Bad Matrices: a Constructive Approach
Garrett Mulcahy, Purdue University; Thomas Sinclair, Purdue University
67: Bimodal Sentiment Analysis of Service Calls
YANAN JIA, Businessolver
68: Feature Selection for High-Dimensional Clustering by Hidden Markov Model with Variable Blocks(HMM-VB)
Beomseok Seo, Penn State University; Jia Li, Penn State University; Lynn Lin, Penn State University
69: On the Selection of Regression Model Using Machine Learning
Asanao Shimokawa, Tokyo University of Science; Etsuo Miyaoka, Tokyo University of Science
70: Training Students Concurrently in Data Science and Team Science: Results and Lessons Learned from Multi-Institutional Interdisciplinary Student-Led Research Teams 2012-2018
Brent Ladd, Purdue University; Mark Ward, Purdue University
71: Predicting Traffic Intensity with Deep Learning and Semantic Segmentation
Logan Bradley-Trietsch, Purdue University; Xiao Wang, Purdue University
72: Combining Machine Learning and Statistical Modeling to Identify Risk Factors of Hospital Mortality and Directionality for Patients with Acute Respiratory Distress Syndrome (ARDS)
Meng Zhang, Feinstein Institute for Medical Research; Michael Qiu, Feinstein Institue for Medical Research; Molly Stewart, Feinstein Institue for Medical Research; Jamie Hirsch, Feinstein Institue for Medical Research; Negin Hajizadeh, Feinstein Institue for Medical Research
73: Time Series Models to Forecast Mail Volume
Xuemei Pan; Mary Pritts, IBM
75: Testing Global Dynamics in C. Elegans
Anastasia Dmitrienko, Columbia University; John Cunningham, Columbia University; Sean Bittner, Columbia University
76: Testing for High-Dimensional Network Parameters in Auto-Regressive Models
Lili Zheng, University of Wisconsin-Madison; Garvesh Raskutti, University of Wisconsin-Madison
77: On the Non-Asymptotic and Sharp Lower Tail Bounds of Random Variables
Yuchen Zhou, University of Wisconsin-Madison; Anru Zhang, University of Wisconsin-Madison
78: A Computational Approach to the Structure of Subtraction Games
Kali Lacy, Purdue University; Bret Benesh, College of Saint Benedict/Saint John's University; Jamylle Carter, Diablo Valley College; Deidra Coleman, Wofford College; Douglas Crabill, Purdue University; Jack Good, Purdue University; Michael Smith, Purdue University; Jennifer Travis, Lone Star College; Mark Ward, Purdue University
79: Combining Materials and Data Science
Haydn Schroader, Purdue University; Alejandro Strachan, Purdue University; Saaketh Desai, Purdue University; Juan Carlos Verduzco Gastelum, Purdue University; David Farache, Purdue University
80: Computational and Theoretical Analysis of Novel Dimensionality Reduction Algorithms in Data Mining Brandon Guo
Brandon Guo
81: A Natural Language Processing Algorithm for Medication Extraction from Electronic Health Records Using the R Programming Language: MedExtractR
Hannah L Weeks, Vanderbilt University; Cole Beck, Vanderbilt University Medical Center; Elizabeth McNeer, Vanderbilt University; Joshua C Denny, Vanderbilt University; Cosmin A Bejan, Vanderbilt University; Leena Choi, Vanderbilt University Medical Center
82: Question Answering Using a Domain Specific Knowledge Base
Mitchell Kinney, University of Minnesota - Twin Cities
83: Propensity Score Analysis Using Machining Learning Techniques with Data Sets Involving Correlation of Covariates, Clustering, and Complex Outcome Functions and Propensity Scores
Li He, Clemson University; William C. Bridges Jr., Clemson University
84: Connecting Diverse Data with the Power of Natural Language Processing Methods
Tracy Schifeling, Bluprint; Murat Tasan, Bluprint
85: Performance of Latent Dirichlet Allocation with Different Topic and Document Structures
Haotian Feng, Clemson University
86: Using Push-Forward and Pullback Measures for Parameter Identification and Distribution Estimation
Tian Yu Yen, University of Colorado At Denver; Michael Pilosov, University of Colorado At Denver
87: Using Machine Learning to Incorporate Nutrition into Cardiovascular Mortality Risk Prediction
Joseph Rigdon, Stanford University; Sanjay Basu, Stanford University
88: Gender Differences in Authorship of Invited Commentary Articles in Medical Journals
Emma Thomas, Harvard University; Bamini Jayabalasingham, Elsevier, Inc.; Thomas Collins, Elsevier, Inc.; Jeroen Geertzen, Elsevier, Inc.; Chinh Bui, Elsevier; Francesca Dominici, Harvard T.H. Chan School of Public Health
89: Open Category Detection with PAC Guarantees
Si Liu, Oregon State University; Risheek Garrepalli, Oregon State University; Thomas G. Dietterich, Oregon State University; Alan Fern, Oregon State University; Dan Hendrycks, UC Berkeley
90: Statistical Inference in a High-Dimensional Binary Regression Problem with Noisy Responses
Hyebin Song
91: Personalized HeartSteps: a Reinforcement Learning Algorithm for Optimizing Physical Activity
Peng Liao, University of Michigan; Susan Murphy, Harvard University; Predrag Klasnja, University of Michigan; Kristjan Greenewald, IBM
92: Aggregated Single-Study Learners for Generalizable Predictions
Boyu Ren; Lorenzo Trippa, Dana-Farber Cancer Institute; Giovanni Parmigiani, Dana-Farber Cancer Institute
93: Recursive Optimization Using Diagonalized Hessian Estimate and Its Application in EM
Shiqing Sun; James C. Spall, Applied Physics Laboratory