Data Science Conference has ended

Create Your Own Event

Data Science Conference

1:00pm PDT

Welcome Room 103, Auditorium, BRC

1:15pm PDT

Keynote: What Did the Public Really Know About Harvey, and How Can We Better Inform Them?, Eric Berger, Space City Weather Room 103, Auditorium, BRC

2:00pm PDT

Plenary: Learning Discrete Markov Random Fields with Optimal Runtime and Sample Complexity, Adam Klivans, University of Texas Room 103, Auditorium, BRC

2:30pm PDT

Plenary: Shared Infrastructure for Data Science, Wes McKinney, Two Sigma Room 103, Auditorium, BRC

3:00pm PDT

Break Event Hall, BRC

3:30pm PDT

Tools and Infrastructure: Designing Next Generation Resource-Frugal Deep Learning Algorithms Room 103, Auditorium, BRC Extending Tools & Methods: Scalable Real-Time Analytics for Cluster-Based Production Forecasting Room 280 & 282, BRC

3:50pm PDT

Tools and Infrastructure: Deep Neural Network Hyperparameter Optimization with Genetic Algorithms Room 103, Auditorium, BRC Extending Tools & Methods: Immersive Data Analysis for NASA Biomedical Data Room 280 & 282, BRC

4:00pm PDT

Poster: Planner - Transient Optimization in Gas Pipelines Event Hall

4:10pm PDT

Tools and Infrastructure: Deep Learning for Data Fusion Room 103, Auditorium, BRC Extending Tools & Methods: Rapid Development of Open Real-Time Drilling Analytics System Room 280 & 282, BRC

4:30pm PDT

Tools and Infrastructure: Data Analytics for Asset Health Management in Oil & Gas Services Room 103, Auditorium, BRC Extending Tools & Methods: An Extended DEIM Algorithm for Subset Selection Room 280 & 282, BRC

4:50pm PDT

Networking Reception Event Hall, BRC

8:00am PDT

Networking & Breakfast Event Hall, BRC

9:00am PDT

Welcome - Day 2 Event Hall, BRC

9:15am PDT

Keynote: Integrating Simulation, Data Analysis and Deep Learning in Science and Engineering Applications, Rick Stevens, Argonne National Lab Room 103, Auditorium, BRC

10:00am PDT

Plenary: Using Big Data and Machine Learning to Build Spatially Fine-Grained Prediction Models of Wind and Flood Damage Risk, Devika Subramanian, Rice University Room 103, Auditorium, BRC

10:30am PDT

Break Event Hall, BRC

11:00am PDT

Algorithms and Methods: Statistical Inference of Network Structures in Ultra-high Dimensional Space Room 280 & 282, BRC Time-Varying Data Analytics: Self-Learning Models for Securing Payment Card Transactions and Cyber Networks Room 103, Auditorium, BRC

11:20am PDT

Algorithms and Methods: Causal Inference Models for Large-Scale Gene Regulatory Network Analysis Room 280 & 282, BRC Time-Varying Data Analytics: Radiomics - A Tool for Predicting Tumor Response in Head and Neck Cancer Patients Room 103, Auditorium, BRC

11:40am PDT

Algorithms and Methods: Recognizing Rock Facies By Gradient Boosting - An Application of Machine Learning in Geophysics Room 280 & 282, BRC Time-Varying Data Analytics: Sparse Dynamic Bayesian Network and its Application to Longitudinal Genetic-Imaging Data Analysis Room 103, Auditorium, BRC

12:00pm PDT

Algorithms and Methods: Opportunity Detection for Business-to-Business (B2B) Sales Organizations Room 280 & 282, BRC Time-Varying Data Analytics: ST-COPOT—A Serial, Density-Contour Based Spatio-Temporal Clustering Approach and its Application to Taxi Trip Location Streams Room 103, Auditorium, BRC

12:20pm PDT

Lunch & Networking Event Hall, BRC

1:45pm PDT

Plenary: Practical Considerations for Data Science Consulting and Innovation in a Large Organization, Yulan Lin and Justin Gosses, NASA Room 103, Auditorium, BRC

2:15pm PDT

Plenary: Wrangling Data at Texas Advanced Computing Center, Niall Gaffney, Texas Advanced Computing Center Room 103, Auditorium, BRC

2:45pm PDT

Plenary: Interactive and Dynamic Visualization for Clustering, Genevera Allen, Rice University Room 103, Auditorium, BRC

3:15pm PDT

Keynote: Optimal Data Assimilation Algorithms, Ronald DeVore, Texas A&M University Room 103, Auditorium, BRC

4:00pm PDT

Poster: A Comparison of CUR Subset Selection Algorithms Event Hall, BRC Poster: A computational view of the 2014 Hongkong Umbrella Revolution through Twitter Event Hall, BRC Poster: A Machine Learning Approach to Debris Estimation During Storm and Flood Events Event Hall, BRC Poster: A Visually Interpretable Approach to Radiomic Classification Event Hall, BRC Poster: Application of Machine Learning Techniques for the Reliability Analysis of Vertical Concrete Dry Casks Tip-over Event Hall, BRC Poster: Arrays of (locality-sensitive) Count Estimators (ACE): Anomaly Detection on the Edge Event Hall, BRC Poster: Convergence of K-indicators Clustering with Alternating Projection Algorithms Event Hall, BRC Poster: Deep Learning Experiments for Seismic Interpretation Event Hall Poster: Distributed Representations of Extracted Knowledge for Machine Learning of Drug Side-Effect Relationships Event Hall, BRC Poster: Improving Diagnosis of Skin Disease by Combining Deep Neural Network and Human Expertise Event Hall, BRC Poster: Improving YouTube-8M Classification Performance by Ensemble Approaches in Google Cloud Platform Event Hall, BRC Poster: Integrate Deep Believe Network with Ontology Fingerprint for Drug Combination Prediction Event Hall, BRC Poster: Integration of Functional Principal Component Analysis in Temporal Imaging Analysis: Assessment of Parotid Gland Radiomic Features Changes in Irradiated Head and Neck Cancer Patients Event Hall, BRC Poster: Kolmogorov Superposition Theorem: Univariate Encodings of Multivariate Functions Event Hall, BRC Poster: Latent Variable Models for Hippocampal Sequence Analysis Event Hall, BRC Poster: Machine Learning Based Tools for Performance Assessment of Above Ground Storage Tanks Subjected to Storm Surge and Wave Loads Event Hall, BRC Poster: Machine Learning in Experimental High Energy Physics Event Hall, BRC Poster: Machine Learning in Oil and Gas Industry Event Hall, BRC Poster: Mixture Proportion Estimation via Dimension Reduction with Classifier Event Hall, BRC Poster: MOOC Data Developments@RICE Event Hall, BRC Poster: Multi-Task Learning for Commercial Brain Computer Interfaces Event Hall, BRC Poster: Muon Identification in High-Energy Heavy Ion Collisions Event Hall, BRC Poster: Network Reliability Estimation: Latest Methods and Benchmarks for a Hard Computational Problem Event Hall, BRC Poster: Overcoming the Challenges of Large Spatial Datasets Event Hall, BRC Poster: Perfomance of Missing Data imputation by EM algorithm under Gradient Boosting Event Hall, BRC Poster: Probabilistic hurricane-induced coastal flooding hazard assessment through kriging surrogate modeling techniques Event Hall, BRC Poster: Scalable and Sustainable Deep Learning via Randomized Hashing Event Hall, BRC Poster: Scaling, Storing and Sharing Data –REDCap use in Facilitating Clinical Research at Houston Methodist Hospital Event Hall, BRC Poster: Spatial Quantification of Tumor-Immune Cell Interactions to Predict Patient Outcomes Event Hall, BRC Poster: Timelag Analysis of Global Hydrodynamic Simulations of Active Regions in the Solar Corona Event Hall, BRC Poster: Understanding Generative Adversarial Networks from First Principles Event Hall, BRC Poster: Using Machine Learning to Predict Infrastructure Needs for Increased Bicycle Commuting Event Hall, BRC Poster: Using Supervised Learning Techniques for Life-Cycle Sustainability Assessment of Bridges Event Hall, BRC