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Items: 1 to 20 of 47

1.
Structured Verification of Machine Learning Models in Industrial Settings
Sai Rahul Kaminwar, Jann Goschenhofer, Janek Thomas, Ingo Thon, Bernd Bischl
Big Data. June 2023; 11(3): 181–198. Published online 2023 Jun 12. doi: 10.1089/big.2021.0112
PMCID:
PMC10280203
ArticlePDF–676K
2.
Technology and Data Implications for the Public Health Workforce
Laurie T. Martin, Anita Chandra, Christopher Nelson, Douglas Yeung, Joie D. Acosta, Nabeel Qureshi, Tara Blagg
Big Data. September 2022; 10(Suppl 1): S25–S29. Published online 2022 Sep 6. doi: 10.1089/big.2022.0208
PMCID:
PMC9508448
ArticlePDF–139K
3.
Demonstrating Equity Through the Convening of Expert Panels
Tina J. Kauh, Maryam Khojasteh
Big Data. September 2022; 10(Suppl 1): S15–S18. Published online 2022 Sep 6. doi: 10.1089/big.2022.0206
PMCID:
PMC9508441
ArticlePDF–108K
4.
The Issues of Interoperability and Data Connectedness for Public Health
Laurie T. Martin, Christopher Nelson, Douglas Yeung, Joie D. Acosta, Nabeel Qureshi, Tara Blagg, Anita Chandra
Big Data. September 2022; 10(Suppl 1): S19–S24. Published online 2022 Sep 6. doi: 10.1089/big.2022.0207
PMCID:
PMC9508439
ArticlePDF–147K
5.
A Convolutional Neural Network for Improved Anomaly-Based Network Intrusion Detection
Isra Al-Turaiki, Najwa Altwaijry
Big Data. June 2021; 9(3): 233–252. Published online 2021 Jun 16. doi: 10.1089/big.2020.0263
PMCID:
PMC8233218
ArticlePDF–660K
6.
Bridging the Brain and Data Sciences
John Darrell Van Horn
Big Data. June 2021; 9(3): 153–187. Published online 2021 Jun 16. doi: 10.1089/big.2020.0065
PMCID:
PMC8233216
ArticlePDF–736K
7.
Visualizing a Team's Goal Chances in Soccer from Attacking Events: A Bayesian Inference Approach
Gavin A. Whitaker, Ricardo Silva, Daniel Edwards
Big Data. 2018 Dec 1; 6(4): 271–290. Published online 2018 Dec 13. doi: 10.1089/big.2018.0071
PMCID:
PMC6306690
ArticlePDF–9.5M
8.
Harvesting Social Signals to Inform Peace Processes Implementation and Monitoring
Aastha Nigam, Henry K. Dambanemuya, Madhav Joshi, Nitesh V. Chawla
Big Data. 2017 Dec 1; 5(4): 337–355. Published online 2017 Dec 1. doi: 10.1089/big.2017.0055
PMCID:
PMC5734239
ArticlePDF–2.6M
9.
Correction to: Big Data 2016;4:60–66
Big Data. 2016 Jun 1; 4(2): 136. doi: 10.1089/big.2015.0043.correx
Corrects:
Big Data. 2016 Mar; 4(1): 60–66.
PMCID:
PMC4985029
CorrectionPDF–41K
10.
Integration and Visualization of Translational Medicine Data for Better Understanding of Human Diseases
Venkata Satagopam, Wei Gu, Serge Eifes, Piotr Gawron, Marek Ostaszewski, Stephan Gebel, Adriano Barbosa-Silva, Rudi Balling, Reinhard Schneider
Big Data. 2016 Jun 1; 4(2): 97–108. doi: 10.1089/big.2015.0057
PMCID:
PMC4932659
ArticlePDF–607K
11.
A Framework for Considering Comprehensibility in Modeling
Michael Gleicher
Big Data. 2016 Jun 1; 4(2): 75–88. doi: 10.1089/big.2016.0007
PMCID:
PMC4932655
ArticlePDF–927K
12.
National Surveys of Population Health: Big Data Analytics for Mobile Health Monitors
Bruce R. Schatz
Big Data. 2015 Dec 1; 3(4): 219–229. doi: 10.1089/big.2015.0021
PMCID:
PMC4722603
ArticlePDF–398K
13.
Diets and Health: How Food Decisions Are Shaped by Biology, Economics, Geography, and Social Interactions
Adam Drewnowski, Ichiro Kawachi
Big Data. 2015 Sep 1; 3(3): 193–197. doi: 10.1089/big.2015.0014
PMCID:
PMC4605477
ArticlePDF–103K
14.
Using Big Data to Understand the Human Condition: The Kavli HUMAN Project
Okan Azmak, Hannah Bayer, Andrew Caplin, Miyoung Chun, Paul Glimcher, Steven Koonin, Aristides Patrinos
Big Data. 2015 Sep 1; 3(3): 173–188. doi: 10.1089/big.2015.0012
PMCID:
PMC4605457
ArticlePDF–492K
15.
Opportunities for New Insights on the Life-Course Risks and Outcomes of Cognitive Decline in the Kavli HUMAN Project
Kenneth M. Langa, David Cutler
Big Data. 2015 Sep 1; 3(3): 189–192. doi: 10.1089/big.2015.0015
PMCID:
PMC4605212
ArticlePDF–86K
16.
Does Medical School Training Relate to Practice? Evidence from Big Data
Keith Feldman, Nitesh V. Chawla
Big Data. 2015 Jun 1; 3(2): 103–113. doi: 10.1089/big.2014.0060
PMCID:
PMC4605456
ArticlePDF–10M
17.
Understanding Democracy and Development Traps Using a Data-Driven Approach
Shyam Ranganathan, Stamatios C. Nicolis, Viktoria Spaiser, David J.T. Sumpter
Big Data. 2015 Mar 1; 3(1): 22–33. doi: 10.1089/big.2014.0066
PMCID:
PMC4605381
ArticlePDF–1.9M
18.
Data Integration for Heterogenous Datasets
James Hendler
Big Data. 2014 Dec 1; 2(4): 205–215. doi: 10.1089/big.2014.0068
PMCID:
PMC4276119
ArticlePDF–1.7M
19.
From Pharmacovigilance to Clinical Care Optimization
Leo Anthony Celi, Edward Moseley, Christopher Moses, Padhraig Ryan, Melek Somai, David Stone, Kai-ou Tang
Big Data. 2014 Sep 1; 2(3): 134–141. doi: 10.1089/big.2014.0008
PMCID:
PMC4630790
ArticlePDF–1.2M
20.
A Big Data Guide to Understanding Climate Change: The Case for Theory-Guided Data Science
James H. Faghmous, Vipin Kumar
Big Data. 2014 Sep 1; 2(3): 155–163. doi: 10.1089/big.2014.0026
PMCID:
PMC4174912
ArticlePDF–1.1M

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