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Data Science for Biomedical and Healthcare Applications
Data Science for Energy Applications
Data Science Methods and Platforms
Networking Break
Panel
Plenary
Poster Session
Urban-Analytics and Social-Media Applications
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Monday
, October 8
BioScience Research Collaborative
8:30am •
Workshop: Open Data with Cognite
8:30am •
Workshop: Deep Learning with Cray
1:00pm •
Welcome
1:15pm •
When Data Science and Geoscience Come Together
1:45pm •
Automated Machine Learning Benchmarking
2:15pm •
Data Science for Studying the Data Scientist in your Head
2:45pm •
Networking Break
3:15pm •
Computer-aided Diagnosis of Dermoscopic Images Using Deep Learning Algorithm
3:15pm •
Unsupervised Machine Learning Workflow to Map Basin-wide Top of Salt from 2D Seismic Data
3:35pm •
Mixed-type Kernel Gaussian Process Latent Variable Model (mGPLVM) Helps Delineate Complex Biological Processes
3:35pm •
Generate Big Data to Enable Deep Learning for Seismic Inversion
3:55pm •
Empowering Physicians with Visual Analytics to Optimize Pain Management and Sedation at Texas Children’s Hospital
3:55pm •
Affordable and Fast Geosteering Inversion Using A Physics-Driven Deep Learning Network
4:15pm •
Quantitative Evaluation of Key Completion Controls on Shale Oil Production
4:15pm •
Family Level Assessment of Screen use in the Home (FLASH): Ongoing development of an automatic and objective assessment of children’s screen media use across platforms
4:35pm •
Data-Driven Inference of Flow Dynamics in Porous Media
4:35pm •
Re-Use of Routinely-Collected Clinical Data for Research and Quality Improvement
4:55pm •
Networking Reception
Tuesday
, October 9
BioScience Research Collaborative
8:00am •
Breakfast
8:45am •
Welcome
9:00am •
How Data Science is Changing Public Policy and Community Advocacy
9:30am •
Enabling Analytics at Scale in Asset Heavy Industries
10:00am •
Networking Break
10:30am •
Three concepts in ML that require Rethinking: Implicit Regularization, Over-Parameterization and Momentum Acceleration
10:30am •
A Novel Multi-Target Prediction Framework and its Application to Flood Forecasting
10:50am •
Dynamic Pricing for E-Commerce
10:50am •
Lessons from Harvey: Crisis Informatics for Urban Resilience
11:10am •
Deep K-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions
11:10am •
A Novel Spatio-temporal Framework for Detecting and Tracking Events in Twitter
11:30am •
Sysco Journey from Disparate Systems to a Data Lake and Beyond
11:30am •
A Framework to Analyze Change in US Emotions
11:50am •
The BP Data Science Sandbox: An Internal Platform for Large Scale Data Science Research @ BP
11:50am •
Monitoring Two Decades of Urbanization in Houston from Space
12:10pm •
Democratizing Data Science with Kubernetes
12:10pm •
Taming Billions of LIDAR Points with GPU Database OmniSci (formerly MapD)
12:30pm •
Lunch/Networking
1:30pm •
Predictability Biases in Models
2:00pm •
Human Sensing and Data analysis/modelling for Health, Wellbeing and Performance
2:30pm •
Panel: Opportunities and Challenges with Applying Data Science to Human Performance, Injury Prevention and Rehabilitation
3:45pm •
Poster Session and Closing Reception
3:50pm •
Automatic Detecting of Iceberg – Ship in a Deep Learning Framework
3:50pm •
Teaching Data Science to Anyone and Everyone: Takeaways from the 2018 Workshop on Undergraduate Data Science Pedagogy and Practice
3:50pm •
Generating Synthetic Drilling Time Series Using Deep Neural Networks
3:50pm •
Identifying the Unknown Primary Site of Metastatic Tumors using Support Vector Machines: An Exploration of Different Dimension Reduction Models
3:50pm •
A Novel Approach to Estimate Seismic Reflection Velocities using Machine Learning: A Case Study from the Galicia Margin
3:50pm •
Exact 3-body Quantum Calculations: Simulating any Interaction in Vacuum or Solid State
3:50pm •
A Bayesian Realized-Volatility Approach to Volatility Modeling in US Natural Gas Markets
3:50pm •
SparsePPG: Towards Driver Monitoring Using Camera-Based Vital Signs Estimation in Near-Infrared
3:50pm •
Reliability Engineering Meets SAT-Solving
3:50pm •
Revolutionize Medical Image Analytics with AI on Intel Architecture
3:50pm •
Analysis of Spatially Aggregated Data Using Extended Hausdorff Distance
3:50pm •
Data Science for High Schools: A Pilot Program to Address the Gap in Data Science Education, and Lessons Learned
3:50pm •
A Data-driven Approach to Real-time Flood Hazard Delineation: Estimating Flood Extent during Hurricane Harvey using MaxEnt
3:50pm •
Data Science for Cancer Research
3:50pm •
Species Tree and Reconciliation Estimation under a Duplication-Loss-Coalescence Model
3:50pm •
Inference of Species Phylogenies from Bi-allelic Markers Using Pseudo-likelihood
3:50pm •
Cryptocurrencies and the Modern Portfolio Theory
3:50pm •
TF-TWAS: Transcription-factor Polymorphism Associated with Tissue-Specific Gene Expression
3:50pm •
Discriminative and Distinct Phenotyping by Constrained Tensor Factorization
3:50pm •
Unstated Assumptions of Benchmark Specifications Limit Deep Robotic Reinforcement Learning
3:50pm •
Using Local Experiences For Global Motion Planning
3:50pm •
Uncovering Temporal Structure in Hippocampal Output Patterns
3:50pm •
Integrating Spatial Features into FTIR Histological Image Classification
3:50pm •
Evaluating the Buffer vs. Embedded Processes Accounts of Verbal Short-Term Memory: Evidence from a RSA fMRI Study
3:50pm •
Seismicity Detection via Various Data Mining Approaches
3:50pm •
Using Bayesian Posterior Summarization for Model Selection in Functional Data Analysis
3:50pm •
Solving Quantum Many-Body Wavefunctions with Convolutional Neural Networks.
3:50pm •
Longitudinal Connectivity Outperforms Structural Change as a Marker for Prodromal Parkinson's Disease
3:50pm •
Re-connecting Humanity via Genetic Genealogy using Informatics
3:50pm •
Atom Mapping of Chemical Reactions: A Machine Learning Approach
3:50pm •
Predicting Alzheimer’s Disease and Frontotemporal Dementia using Clinical Data
3:50pm •
Generalizability Study of Deep learning based Heart Failure Predictive Model
3:50pm •
Characterizing Spatiotemporal Trends in Extreme Precipitation across the Southern Texas Coast
3:50pm •
Localization for Autonomous Underwater Vehicles (AUVs) in GPS-Denied Environments
3:50pm •
Machine Learning for Voxel Based Dose Distribution Predictions in Proton Therapy: Preliminary Results
3:50pm •
Predictive Models of Drug Side-effect Relationships from Distributed Representations of Literature-derived Semantic Predications
3:50pm •
Movement of Future of Harvey-Like Hurricanes
3:50pm •
An Analysis of Houston Police Department Officer-Involved Shootings
3:50pm •
Quantifying Flood Hazard and Flood Risk Profiles for an Urban Watershed in Houston, TX
3:50pm •
Re-identifying Clustered Weather Patterns: A Test Case for Deep Convolutional Neural Networks
3:50pm •
Decentralized Decision-Making for the Restoration of Real-World Interdependent Networks
3:50pm •
Optimizing Separation Efficiency in Nanochannels using Machine Learning Algorithms
Timezone
2018 Data Science Conference
America/Chicago
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2018 Data Science Conference
Oct 8
-
9, 2018
Monday
, October 8
Tuesday
, October 9
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BioScience Research Collaborative, Rice University, Houston, TX, USA
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BioScience Research Collaborative
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Data Science for Biomedical and Healthcare Applications
Data Science for Energy Applications
Data Science Methods and Platforms
Networking Break
Panel
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Poster Session
Urban-Analytics and Social-Media Applications
Welcome
Workshop
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Monday
, October 8
Tuesday
, October 9
Venue
BioScience Research Collaborative
Session Type
Data Science for Biomedical and Healthcare Applications
Data Science for Energy Applications
Data Science Methods and Platforms
Networking Break
Panel
Plenary
Poster Session
Urban-Analytics and Social-Media Applications
Welcome
Workshop
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