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Data Science Approaches for Energy
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Monday
, October 14
BRC 103
1:00pm •
Welcome
1:15pm •
Towards Machine Learning Health Systems - Big Data Is Not Enough
2:00pm •
Artificial Intelligence in Medicine with Examples in Digital Pathology and Computed Tomography Perfusion
2:30pm •
The Rice Data to Knowledge (D2K) Lab
3:30pm •
Identification of Kernels in a Convolutional Neural Network: Connections Between Level Set Equation and Deep Learning for Image Segmentation
3:45pm •
Prediction Models for Integer and Count Data
4:00pm •
E^2-Train: Energy-Efficient Deep Network Training with Data-, Model-, and Algorithm-Level Savings
4:15pm •
Graph Convolutional Networks: Bringing the Deep Learning Revolution to Graphs
4:30pm •
HodgeNet: Flow Interpolation with Graph Neural Networks
4:45pm •
Imitate Like a Baby: The Key to Efficient Exploration in Deep Reinforcement Learning
BRC 280
3:30pm •
Sharing Resources in the Age of Deep Learning
3:45pm •
Data-Driven Super-Parametrization Using Deep Learning: Climate Models that Do Not Affect Our Climate
4:00pm •
Middle-Distant Reading: Big Data Meets Big Humanities Scholarship
4:15pm •
Dynamic Pricing with Hybrid Linear Contextual Bandit
4:30pm •
RL in Vehicle Routing and Scheduling
4:45pm •
A Real-Time Streaming Analytic Pipeline for the Auto-Classification of High-Dimensional Celestial Data Using Innovative Hybrid Machine Learning Techniques
Tuesday
, October 15
BRC 103
8:30am •
Welcome
8:45am •
Data in the Cloud
9:30am •
Using Deep Learning to Understand Documents
10:30am •
Forecast the Future of US Oil and Gas Supply
10:45am •
Machine Learning and the Internet of Things Enable Steam Flood Optimization for Improved Oil Production
11:00am •
Near Real-Time Hydraulic Fracture Event Recognition using Deep Learning Methodology
11:15am •
Automated Formation Top Labeling and Well Depth Matching by Machine Learning
11:30am •
Object Detection with Deep Learning in the Oil and Gas Industry
11:45am •
Automated Salt Top Interpretation
1:00pm •
Building Data Science Fluency
1:30pm •
Biomedical Informatics in a Data-driven World
2:15pm •
Huge Cohorts, Genomics, and Clinical Data to Personalize Medicine
BRC 280
10:30am •
A Sequential Decision-Making Model for Diagnosis and Medication
10:45am •
Application of Deep Learning to Automated Diagnosis of Lymphoma with Digital Pathology Images
11:00am •
Measuring Neurodegeneration with Brain Imaging and Digital Device Interaction
11:15am •
Brain Tissue Analytics for Accelerating Drug Discovery
11:30am •
Composed Relation-Based Learning (CoRL): Predictive Modeling of Drug Side-Effect Relationships
11:45am •
Real-Time Metabolic and Molecular Imaging of Cancer Systems
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2019 Rice Data Science Conference
America/Chicago
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2019 Rice Data Science Conference
Oct 14
-
15, 2019
Monday
, October 14
Tuesday
, October 15
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BioScience Research Collaborative, Rice University, Houston, TX, USA
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Monday
, October 14
Tuesday
, October 15
Venue
BRC 103
BRC 280
Session Type
Data Science Approaches for Energy
Data Science Approaches for Healthcare
Data Science Approaches for Public Good
Data Science Methods and Algorithms
Keynote
Networking Break
Plenary
Poster Session
Welcome
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