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Data Science Approaches for Energy
Data Science Approaches for Healthcare
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Data Science Methods and Algorithms
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Tuesday
, October 15
3:00pm CDT
Poster Session and Networking
3:01pm CDT
A #SAT-based Network Reliability Method for Acyclic Networks
Roger Paredes • Leonardo Duenas-Osorio
A Combinatorial Approach for Single-cell Variant Detection via Phylogenetic Inference
Mohammadamin Edrisi • Hamim Zafar • Luay Nakhleh
A Data Driven Approach to Hurricane Debris Modeling
Catalina Gonzalez Dueñas • Carl Bernier • Jamie E. Padgett
A Machine Learning Based Approach for Recursive Voxel Level Dose Distribution Prediction in Proton Beam Radiation Therapy: Preliminary Results
Antony Adair • Armand Ovanessians • Pablo Yepes
A representation of principal component analysis to identify the age-adjusted mortality rate factor attributes
Soumava Dey
A Transfer Learning Approach to Real-time Seizure Prediction
Yan Huang • Xiaojin Li • Shiqiang Tao • Guo-Qiang Zhang
Abnormality Detection in Humerus Radiographs using Machine Learning Models
Govind Chada
Accurate prediction of boundaries of high resolution topologically associated domains (TADs) in fruit flies using deep learning
Pranik Chainani • Benjamin Soibam • John Henderson
An Integrative Data Repository for Studying Risk Factors Associated with Pressure Injuries Resulting from Spinal Cord Injury
Ningzhou Zeng • Steve Roggenkamp • Kath Bogie • Shiqiang Tao • Guo-Qiang Zhang
An Intelligent Drone carrying a Hammer and Sound Detection Micro-computer for Structural Damage Analysis
Ting Zhang • Dan Xu • Jiang Lu
Applying Graph Convolutional Neural Networks for Drug Metabolism Prediction
Eleni Litsa • Nicole Mitchell • Lydia Kavraki
AskAna: Retrieval Based Virtual Assistant for Digital Operations and Field Development
Avisha Das • Ricardo Fernandez
Automated Field Development Recommendation with Integration of Physics and AI
Bicheng Yan • Hector Klie
Automated Pothole Detection Using Fleet Accelerometer Data
Kate Weeks
Barcoding of Hematopoietic Stem Cells: Application of the Species Problem
Siyi Chen • Marek Kimmel • Katherine King
Be a Copycat: Uncharted Rewards by Mimicking Expert Action Sequences
Anshumali Shrivastava • Tharun Medini
Blitz-scaling Machine Learning models from one equipement to thousands
Trygve Karper
Can Deep Learning Predict Chaos ?
Mingchao Jiang • Devika Subramanian • Krishna Palem • Pedram Hassanzadeh
Challenges for the Application of Machine Learning in Real-Time Flood Alert Systems
Matthew Garcia • Philip Bedient
Computational Techniques for Sensitive and Accurate Threat Screening of Oligonucleotides
Dreycey Albin • Dan Nasko • Jacob Lu • Leo Elworth • Advait Balaji • Gene Godbold • Krista Ternus • Todd Treangen • Pravin Mathu
Data driven discovery of design principles in E. coli
Satyajit Rao • Oleg Igoshin
Data Mining the Angiome: A New Platform for Characterizing Disease Progression and Drug Efficacy
Pavel Govyadinov • Jiaming Guo • Guoning Chen • Jason Eriksen • David Mayerich
Determining Background Levels of Air Pollution Through the Use of Hidden Markov and Generalized Additive Models
Blake Actkinson • David Miller • Katie Moore • Ramon Alvarez • Katherine Ensor • Rob Griffin
Disaster Maps: Mapping Damage and Sentiment from Twitter
Carlos Villegas • Matthew Krause
Distributed Learning of Deep Neural Networks using Independent Subnet Training
Binhang Yuan • Anastasios Kyrillidis • Chris Jermaine
DropConnect Is Effective in Modeling Uncertaintyof Approximate Bayesian Neural Networks
Aryan Mobiny • Hien Van Nguyen
Examining the Effects of Cancer Cell Line Genetics on Drug Efficacy
Nicholas Falkenberg • Qi Jing Yap • Ashwin Pothukuchi
Facility Downtime Prediction through Deep Learning Based Anomaly Detection
Shahin Boluki • Mustafa Kara • Ajay Singh
First arrival picking using U-net with Lovasz loss and nearest point picking method
Pengyu Yuan • Wenyi Hu • Xuqing Wu • Jiefu Chen • Hien Van Nguyen
Forecasting Time Series of Counts using Dynamic Linear Models
Brian King • Daniel Kowal
Gene Expression High-Dimensional Clustering towards a Novel, Robust, Clinically Relevant and Highly Compact Cancer Signature
Enzo Battistella • Maria Vakalopoulou • Roger Sun • Théo Estienne • Marvin Lerousseau • Charlotte Robert • Nikos Paragios • Eric Deutsch
Generic Deep Learning Approach to Semantically Segment Chromatin Regions in Genomics Hi-C Petapixel Maps
Audrey Lu • Dat Nguyen • Muhammad Saad Shamim • Yossi Eliaz • Alyssa Blackburn • Ivan Bochkov • Erez Aiden
Hospital Length of Stay Analytics
Abiodun Akogun
Identifying genetic markers associated with Alzheimer’s Disease progression through image phenotyping
Danilo Pena • Assaf Gottlieb • Luca Giancardo
INTRUSION DETECTION FOR IoT DEVICES BASED ON RF FINGERPRINTING USING DEEP LEARNING
Joshua Bassey • Damilola Adesina • Lijun Qian • Xianfang Li
Leveraging Synthetic Data for Efficient Optical Character Recognition on Technical Diagrams
Conrad Goffinet • Pushkar Kumar Jain • Henry Lin • Roy Keyes
Machine Learning Applications in Seismic Resilience Modeling of Intermodal Freight Transportation Networks
Sushreyo Misra • Jamie Padgett
Operable Compression of Data Operations
Jonathan Jerke • Bill Poirier
Physician-Friendly Machine Learning: A Case Study with Cardiovascular Disease Risk Prediction
Meghana Padmanabhan • Pengyu Yuan • Hien Van Nguyen • Govind Chada
Piecewise Linear Fitting for Multi-Slope Regression Data
Nalinda Kulathunga • Yunjiao Wang • Daniel Vrinceanu • Nishanth Rajiv Ranasinghe • Lei Huang • Yonggao Yang
Porosity Prediction Using the Spectral Decomposition Attributes and Deep Learning
Lian jiang • John Castagna • Leon Thomsen
Portrait Painting with Neural Networks: A Stroke-based SVG Autoencoder
Shawn Olichwier
Predicting Future Mood, Health, and Calmness using Deep Machine Learning
Han Yu • Akane Sano
Predicting upcoming laboratory earthquakes using shallow and deep approaches
Chang-Chun Lee • Yunwei Hu • Qiushuo Su • Zhenzhen Zhong • Licheng Zhang • Cheng Zhan
Single-cell DNA Sequencing Data Analysis: Benchmarking Tools for Copy Number Aberration Detection
Xian Fan • Mohammadamin Edrisi • Nicholas Navin • Luay Nakhleh
SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation
Yang Zhao • Xiaohan Chen • Pengfei Xu • Lei Deng • Yue Wang • Weitao Li • Yuan Xie • Zhangyang Wang • Yingyan Lin
SUMMARIZING EMOTIONS AND TOPICS IN LARGE TWEET DATASETS
Anjana Kummari • Christoph Eick
Tensor Networks for Probabilistic Reasoning
Jeffrey M. Dudek • Leonardo Duenas-Osorio • Moshe Y. Vardi
Understanding the dynamics of reservoir computing in chaotic dynamical systems
Adam Subel • Ashesh Chattopadhyay • Pedram Hassanzadeh
Utilizing Statistical and Machine Learning Models to Best Predict Graduate Level Admittance
Marina Zafiris • Joshua Iberossi • Ann Nguyen
Web-based Interactive Visualization of Non-Lattice Subgraphs in SNOMED CT
Wei Zhu • Shiqiang Tao • Cong Li • GQ Zhang
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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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BRC 103
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, October 14
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, October 15
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Data Science Methods and Algorithms
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