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Keyword Search Criteria: machine learning returned 37 record(s)
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Sunday, 08/08/2021
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Using Machine Learning Algorithms with Bayesian Optimization Turning Technique for Fracture Prediction in Genomic and Phenotypic Data of 25,772 Postmenopausal Women
Qing Wu, University of Nevada, Las Vegas; Jingyuan Dai, University of Nevada, Las Vegas
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Prediction of Dementia Types Using Machine Learning Methods
Chung-Chou H. Chang, University of Pittsburgh; Yueting Wang, University of Pittsburgh; Yichen Jia, University of Pittsburgh; Mary Ganguli, University of Pittsburgh
1:35 PM
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Level-Up: Transforming the Gaming Industry with Machine Learning and Big Data Analytics
Qiaolin Chen, Tencent; Zeng Zhao, Tencent; Botao Li, Tencent
1:35 PM
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Statistics in Network Security
Ganesh K Subramaniam, AT&T; Srivathsan Srinivasagopalan, AT&T; Robert Archibald, AT&T
1:40 PM
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Calibration of Spatial Forecasts from Citizen Science Urban Air Pollution Data with Sparse Recurrent Neural Networks
Stefano Castruccio, University of Notre Dame; Matthew Bonas, University of Notre Dame
3:35 PM
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A Model-Assisted Approach for Finding Coding Errors in Manual Coding of Open-Ended Questions
Matthias Schonlau, University of Waterloo; Zhoushanyue He, University of Waterloo
4:45 PM
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Monday, 08/09/2021
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Improving Hedging Portfolios Using Machine Learning via Gaussian Process Hyperparameter Tuning
Zihao Chen, Iowa State University; Cindy Yu, Iowa State University
11:20 AM
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Mode Prediction and Hedging Portfolio Construction Based on Quantile Regression Through Machine Learning Methods
Guoliang Ma, Iowa State University; Cindy Yu, Iowa State University
11:25 AM
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Applications of Machine Learning Methods to Identify Pediatric Patients with De Novo Acute Myeloid Leukemia from a Real-World Data Set
Yimei Li, University of Pennsylvania
1:35 PM
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Can Machine Learning Improve Correspondence Audit Case Selection? Considerations for Algorithm Selection, Validation, and Experimentation
Lucia Lykke, The MITRE Corporation; Ben Howard, The MITRE Corporation; David Pinski, The MITRE Corporation; Alan Plumley, Internal Revenue Services
2:05 PM
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Applying Machine Learning Methods for Insight into Textile Recycling Behavior
Brandon King, North Carolina State University; Lori Rothenberg, North Carolina State University; Jeffrey Joines, North Carolina State University
2:10 PM
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Efficient Semi-Supervised Deep Learning and Machine Learning NLP System to Extract Clinical Measurements from Polysomnogram Laboratory Reports
Ioannis Malagaris, University of Texas Medical Branch; David En Shuo Hsu, University of Texas Medical Branch; Yong-fang Kuo, University of Texas Medical Branch
2:30 PM
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Predicting Nursing Graduates Using Machine Learning Models
Xiaoyue Cheng, University of Nebraska at Omaha; Li Hannaford, Creighton University; Mary Kunes-Connell, Creighton University
2:40 PM
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Tuesday, 08/10/2021
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CGM and Insulin Pump Data to Introduce Classical and Machine Learning Time Series Analysis Concepts to Students.
Juana Sanchez, UCLA
10:45 AM
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Utility-Based Approach in Individualized Optimal Dose Selection Using Machine Learning Methods
Pin Li, University of Michigan ; Jeremy M.G. Taylor, University of Michigan; Philip Boonstra, University of Michigan; Theodore S. Lawrence, University of Michigan; Matthew J. Schipper, University of Michigan
11:05 AM
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Using Paradata and Machine Learning to Examine American Community Survey (ACS) Data Collection Effectiveness
Caleb Floyd, United States Census Bureau; Deborah Delio, United States Census Bureau; Matthew Brooks , United States Census Bureau
2:05 PM
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Using Machine Learning and Statistical Models to Predict Survey Costs
James Wagner, University of Michigan; Brady T. West, University of Michigan; Michael R. Elliott, University of Michigan; Stephanie Coffey, U.S. Census Bureau
2:25 PM
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Design of Experiments Approaches for Investing and Improving Machine Learning Robustness
Laura Freeman, Virginia Tech
2:50 PM
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Performance of Parametric Versus Machine Learning Methods for Estimating Propensity Score with Multilevel Data: A Monte Carlo Study
Tianyang Zhang, Teachers College, Columbia University; Bryan Keller, Teachers College, Columbia University
3:00 PM
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Wednesday, 08/11/2021
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Machine Learning with Complex Survey Data
Jerzy Wieczorek, Colby College
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Application of Machine Learning in Medical Imaging: Overview of Novartis Radiomics Projects
Thibaud Coroller, Novartis
10:25 AM
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Machine Learning Algorithm for Diabetes Prediction Using Social Risk Factors in a Nationally Representative Data Set
Srikanta Banerjee, Walden University; Matthew K Jones, Northwest Emergent Solutions
10:35 AM
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Recent Advances in Machine Learning in Medical Image Analysis
Fei Wang, Weill Cornell Medicine
11:25 AM
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Data Pollution: A New Framework to Address Shared Problems in Machine Learning and Clinical Research
Alessandro De Nadai, Texas State University
1:55 PM
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Comparing the Accuracy Classification of the Machine Learning Algorithms Using Anxiety Data
Hojjatollah Farahani, Tarbiat Modares University; Parviz Azadfallah, Tarbiat Modares University; Peter Watson, University of Cambridge; Arezoo Esfandiary, Azad University of Karaj; Kazhal Rashidi, Azad University of Rudehen
2:45 PM
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TensorFlow Versus H2O, Round 2: Predicting Currency Prices
Kenneth Davis, Statistical Significance
4:05 PM
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Using Machine Learning Techniques to Model Factors That Influence the Intent of a Person to Take a Coronavirus Test
Sheila Rutto, The University of Texas Rio Grande Valley
4:15 PM
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Thursday, 08/12/2021
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Machine Learning Frameworks for Association Mapping with 3D Shapes and High-Resolution Imaging
Lorin Crawford, Microsoft Research
10:05 AM
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Assessment of Supervised Machine Learning for Atmospheric Retrieval of Exoplanets
Matthew Conor Nixon, Institute of Astronomy, University of Cambridge; Nikku Madhusudhan, Institute of Astronomy, University of Cambridge
10:45 AM
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Machine Learning Methods: A Case Study Using Online Web-Based Panel Surveys
Yulei He, US Centers for Disease Control and Prevention; Guangyu Zhang, CDC; Van Parsons, CDC
11:25 AM
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Bayesian machine learning for causal inference with multiple treatments and multilevel survival data
Liangyuan Hu, Icahn School of Medicine; Jiayi Ji, Icahn School of Medicine; Joseph Hogan, Brown University
12:05 PM
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Machine Learning Methods for Dependent Data Resulting from Forensic Evidence Comparisons
Danica M Ommen, Iowa State University; Federico Veneri, Iowa State University
12:05 PM
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Predicting Solar Flare Index Using Statistical And Machine Learning Methods
Zuofeng Shang, New Jersey Institute of Technology; Hewei Zhang, New Jersey Institute of Technology
12:05 PM
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Imputation Procedures in Surveys Using Nonparametric and Machine Learning Methods: An Empirical Comparison
David Haziza, University of Ottawa; Mehdi Dagdoug, Université de Bourgogne Franche Comté; Camelia Goga, Université de Bourgogne Franche Comté
4:05 PM
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Using Machine Learning to Identify Patterns of County-Level Trends in Diabetes Prevalence in the United States, 2011-2019
Hui Xie, CDC; Deborah B Rolka, CDC; Yu B Chen, CDC
4:50 PM
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Estimating Uncertainty of Machine Learning Predictions Using Bayesian Additive Regression Trees
Jeong Hwan Kook, Merck & Co., Inc.; Andy Liaw, Merck & Co., Inc.; Yuting Xu, Merck & Co., Inc.; Himel Mallick, Merck Research Laboratories; Vladimir Svetnik, Merck & Co.
4:50 PM
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Causal Inference and Machine Learning Techniques for Outbound Calls Strategy
Victor S.Y. Lo, Fidelity Investments; Zhuang Li, Fidelity Investments
5:05 PM
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