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Andrew Taylor

Henry Ford Henry System
Biostatistician II
Detroit, MI

https://linkedin.com/in/taylorandrewr

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Machine Learning Algorithmic Deep Dive (Part 1) Campbell Rehearsal Hall

10:15am PDT

Coffee Break Lyons & Lodato

10:30am PDT

Machine Learning Algorithmic Deep Dive (Part 2) Campbell Rehearsal Hall

12:00pm PDT

Lunch Lyons & Lodato

1:00pm PDT

Introduction to SparkR (Part 1) Econ 140

2:15pm PDT

Coffee Break SIEPR 120

2:30pm PDT

Introduction to SparkR (Part 2) Econ 140

10:00am PDT

Coffee Break with Poster Exhibits McCaw Hall

10:30am PDT

edeaR: Extracting knowledge from process data Econ 140

10:48am PDT

RcppParallel: A Toolkit for Portable, High-Performance Algorithms SIEPR 130

11:06am PDT

Taking R to new heights for scalability and performance SIEPR 130

11:24am PDT

Distributed Computing using parallel, Distributed R, and SparkR SIEPR 130

11:42am PDT

FlashR: Enable Parallel, Scalable Data Analysis in R SIEPR 130

12:00pm PDT

Lunch with Poster Exhibits Sponsor Pavilion

1:00pm PDT

Group and sparse group partial least squares approaches applied in a genomics context Barnes & McDowell & Cranston

1:18pm PDT

Fast additive quantile regression in R Barnes & McDowell & Cranston

1:36pm PDT

bigKRLS: Optimizing non-parametric regression in R Barnes & McDowell & Cranston

1:54pm PDT

Multiple Hurdle Tobit models in R: The mhurdle package Barnes & McDowell & Cranston

2:12pm PDT

Detection of Differential Item Functioning with difNLR function Barnes & McDowell & Cranston

2:30pm PDT

Coffee Break w/ Poster Session McCaw Hall A Large Scale Regression Model Incorporating Networks using Aster and R Sponsor Pavilion All-inclusive but Practical Multivariate Stochastic Forecasting for Electric Utility Portfolio Sponsor Pavilion Bridging the Data Visualization to Digital Humanities gap: Introducing the Interactive Text Mining Suite Sponsor Pavilion Community detection in multiplex networks : An application to the C. elegans neural network Sponsor Pavilion DiLeMMa - Distributed Learning with Markov Chain Monte Carlo Algorithms with the ROAR Package Sponsor Pavilion High-performance R with FastR Sponsor Pavilion Integrating R & Tableau Sponsor Pavilion Making Shiny Seaworthy: A weighted smoothing model for validating oceanographic data at sea. Sponsor Pavilion Multi-stage Decision Method To Generate Rules For Student Retention Sponsor Pavilion mvarVis: An R package for Visualization of Multivariate Analysis Results Sponsor Pavilion Prediction of key parameters in the production of biopharmaceuticals using R Sponsor Pavilion R Shiny Application for the Evaluation of Surrogacy in Clinical Trials Sponsor Pavilion Urban Mobility Modeling using R and Big Data from Mobile Phones Sponsor Pavilion Visualizations and Machine Learning in R with Tessera and Shiny Sponsor Pavilion Writing a dplyr backend to support out-of-memory data for Microsoft R Server Sponsor Pavilion

4:45pm PDT

mlrMBO: A Toolbox for Model-Based Optimization of Expensive Black-Box Functions SIEPR 130

5:03pm PDT

Deep Learning for R with MXNet SIEPR 130

5:21pm PDT

Interactive Naive Bayes using Shiny: Text Retrieval, Classification, Quantification SIEPR 130

5:39pm PDT

xgboost: An R package for Fast and Accurate Gradient Boosting SIEPR 130

5:57pm PDT

Rectools: An Advanced Recommender System SIEPR 130

9:00am PDT

Towards a grammar of interactive graphics McCaw Hall

10:00am PDT

Coffee Break with Poster Exhibits McCaw Hall

10:30am PDT

Importing modern data into R SIEPR 130

10:48am PDT

ETL for medium data SIEPR 130

11:06am PDT

Efficient tabular data ingestion and manipulation with MonetDBLite SIEPR 130

11:24am PDT

Efficient in-memory non-equi joins using data.table SIEPR 130

11:42am PDT

Classifying Murderers in Imbalanced Data Using randomForest McCaw Hall

12:00pm PDT

Lunch with Poster Exhibits McCaw Hall

1:00pm PDT

mumm: An R-package for fitting multiplicative mixed models using the Template Model Builder (TMB) Econ 140

1:18pm PDT

Visualizing multifactorial and multi-attribute effect sizes in linear mixed models with a view towards sensometrics Econ 140

1:36pm PDT

Simulation and power analysis of generalized linear mixed models Econ 140

1:54pm PDT

Approximate inference in R: A case study with GLMMs and glmmsr Econ 140

2:12pm PDT

brglm: Reduced-bias inference in generalized linear models Econ 140

2:30pm PDT

Coffee Break with Poster Session McCaw Hall ALZCan: Predicting Future Onset of Alzheimer's Using Gender, Genetics, Cognitive Tests, CSF Biomarkers, and Resting State fMRI Brain Imaging Sponsor Pavilion Analyzing and visualizing spatially and temporally variable floodplain inundation Sponsor Pavilion Bayesian inference for Internet ratings data using R Sponsor Pavilion Encounters of the Chinook kind: visualizing fish movement with R Sponsor Pavilion hurdlr: An R package for zero-inflated and over-dispersed count data Sponsor Pavilion Logistic modelling of increased antibacterial resistance with sales Sponsor Pavilion Monitoring nonlinear profiles with R: an application to Quality Control Sponsor Pavilion Multiple-Output Quantile Regression in R Sponsor Pavilion Partition-Assisted Clustering: Application to High-Dimensional Multi-Sample Single-Cell Data Analysis Sponsor Pavilion Plotting for Marketers - Seeing the Story Sponsor Pavilion Profile Analysis of Multivariate Data Using the profileR Package Sponsor Pavilion Rapid development of shiny apps for in-house data mining in biological data Sponsor Pavilion request: A DSL for http requests Sponsor Pavilion Social Vulnerability to Climate Change: Automation and Validation of Indices Sponsor Pavilion The markovchain R package Sponsor Pavilion

3:30pm PDT

Flexible and Interpretable Regression Using Convex Penalties McCaw Hall

10:00am PDT

Coffee Break w/ Poster Exhibits McCaw Hall

10:30am PDT

Gradient Boosted Trees Model: deploying R models into production environments* Lane & Lyons & Lodato

10:50am PDT

ranger: A fast implementation of random forests for high dimensional data Lane & Lyons & Lodato

11:08am PDT

Superheat: Supervised heatmaps for visualizing complex data Lane & Lyons & Lodato

11:26am PDT

Big data algorithms for rank-based estimation Lane & Lyons & Lodato

11:42am PDT

Most Likely Transformations McCaw Hall

12:00pm PDT

Lunch w/ Poster Exhibits McCaw Hall

1:00pm PDT

Catching up with Rstudio Lane & Lyons & Lodato

1:20pm PDT

R for Big Data and Applications: Using R at Oracle Lane & Lyons & Lodato

1:35pm PDT

Scalable Machine Learning in R with H2O Lane & Lyons & Lodato