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Distance restraints from crosslinking mass spectrometry: Mining a molecular dynamics simulation database to evaluate lysine–lysine distances

Protein science, 2014-06, Vol.23 (6), p.747-759

2014

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Challenges in biomarker discovery: combining expert insights with statistical analysis of complex omics data

Expert opinion on medical diagnostics, 2013-01, Vol.7 (1), p.37-51

2013

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A Subarachnoid Hemorrhage Presenting as Massive Nasopharyngeal Bleeding: A Case Report

A&A practice, 2018-07, Vol.11 (1), p.11-13

2018

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Syndromic surveillance: STL for modeling, visualizing, and monitoring disease counts

BMC medical informatics and decision making, 2009-04, Vol.9 (1), p.21-21, Article 21

2009

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Divide and recombine (D&R): Data science for large complex data

Statistical analysis and data mining, 2014-12, Vol.7 (6), p.425-433

2014

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Speech information retrieval: a review

Multimedia systems, 2012-11, Vol.18 (6), p.499-518

2012

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Emerging and reemerging neglected tropical diseases: a review of key characteristics, risk factors, and the policy and innovation environment

Clinical microbiology reviews, 2014-10, Vol.27 (4), p.949-979

2014

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Planning for variable generation integration through balancing authorities consolidation

2012 IEEE Power and Energy Society General Meeting, 2012, p.1-8

2012

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A Visual Analytics Approach to Understanding Spatiotemporal Hotspots

IEEE transactions on visualization and computer graphics, 2010-03, Vol.16 (2), p.205-220

2010

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Author Correction: Child wasting and concurrent stunting in low- and middle-income countries

Nature (London), 2023-11, Vol.623 (7985), p.E1-E1

2023

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Comparing predictive abilities of longitudinal child growth models

Statistics in medicine, 2019-08, Vol.38 (19), p.3555-3570

2019

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Automated Box-Cox Transformations for Improved Visual Encoding

IEEE transactions on visualization and computer graphics, 2013-01, Vol.19 (1), p.130-140

2013

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Large complex data: divide and recombine (D&R) with RHIPE

Stat (International Statistical Institute), 2012, Vol.1 (1), p.53-67

2012

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Forecasting Hotspots-A Predictive Analytics Approach

IEEE transactions on visualization and computer graphics, 2011-04, Vol.17 (4), p.440-453

2011

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osfr: An R Interface to the Open Science Framework

Journal of open source software, 2020-02, Vol.5 (46), p.2071

2020

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EDA and ML -- A Perfect Pair for Large-Scale Data Analysis

2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum, 2013, p.1894-1898

2013

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A comparison of forecast error generators for modeling wind and load uncertainty

2013 IEEE Power & Energy Society General Meeting, 2013, p.1-5

2013

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Net interchange schedule forecasting using Bayesian Model Averaging

2015 IEEE Power & Energy Society General Meeting, 2015, p.1-5

2015

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Elongated inferior vena cava and intracardiac mass: Thrombus in-transit or metastasis

World Journal of Advanced Research and Reviews, 2023-01, Vol.17 (1), p.1304-1310

2023

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Integration of uncertainty information into power system operations

2011 IEEE Power and Energy Society General Meeting, 2011, p.1-13

2011

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Divide and Recombine: Approach for Detailed Analysis and Visualization of Large Complex Data

Handbook of Big Data, 2016, p.51-62

2016

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Local regression models: Advancements, applications, and new methods

Hafen, Ryan P

2010

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Synthesizing Effective Diagnostic Models from Small Samples using Structural Machine Learning: a Case Study in Automating COVID-19 Diagnosis

Proceedings of the Companion Conference on Genetic and Evolutionary Computation, 2023, p.727-730

2023

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Atypical behavior identification in large-scale network traffic

2011 IEEE Symposium on Large Data Analysis and Visualization, 2011, p.15-22

2011

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Power Grid Data Analysis with R and Hadoop

Data Mining Applications with R, 2014, p.1-34

2014

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Distance restraints from crosslinking mass spectrometry: Mining a molecular dynamics simulation database to evaluate lysine–lysine distances

Challenges in biomarker discovery: combining expert insights with statistical analysis of complex omics data

A Subarachnoid Hemorrhage Presenting as Massive Nasopharyngeal Bleeding: A Case Report

Syndromic surveillance: STL for modeling, visualizing, and monitoring disease counts

Divide and recombine (D&R): Data science for large complex data

Speech information retrieval: a review

Emerging and reemerging neglected tropical diseases: a review of key characteristics, risk factors, and the policy and innovation environment

Planning for variable generation integration through balancing authorities consolidation

A Visual Analytics Approach to Understanding Spatiotemporal Hotspots

Author Correction: Child wasting and concurrent stunting in low- and middle-income countries

Comparing predictive abilities of longitudinal child growth models

Automated Box-Cox Transformations for Improved Visual Encoding

Large complex data: divide and recombine (D&R) with RHIPE

Forecasting Hotspots-A Predictive Analytics Approach

osfr: An R Interface to the Open Science Framework

EDA and ML -- A Perfect Pair for Large-Scale Data Analysis

A comparison of forecast error generators for modeling wind and load uncertainty

Net interchange schedule forecasting using Bayesian Model Averaging

Elongated inferior vena cava and intracardiac mass: Thrombus in-transit or metastasis

Integration of uncertainty information into power system operations

Divide and Recombine: Approach for Detailed Analysis and Visualization of Large Complex Data

Local regression models: Advancements, applications, and new methods

Synthesizing Effective Diagnostic Models from Small Samples using Structural Machine Learning: a Case Study in Automating COVID-19 Diagnosis

Atypical behavior identification in large-scale network traffic

Power Grid Data Analysis with R and Hadoop

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