William Becker

Orcid: 0000-0002-6467-4472

According to our database1, William Becker authored at least 14 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
ODD: A Benchmark Dataset for the NLP-based Opioid Related Aberrant Behavior Detection.
CoRR, 2023

2022
COINr: An R package for developing composite indicators.
J. Open Source Softw., October, 2022

2021
A framework based on statistical analysis and stakeholders' preferences to inform weighting in composite indicators.
Environ. Model. Softw., 2021

Utilizing a multi-class classification approach to detect therapeutic and recreational misuse of opioids on Twitter.
Comput. Biol. Medicine, 2021

2020
Metafunctions for benchmarking in sensitivity analysis.
Reliab. Eng. Syst. Saf., 2020

Computational Framework for Behind-The-Meter DER Techno-Economic Modeling and Optimization - REopt Lite.
CoRR, 2020

2019
Global sensitivity analysis for high-dimensional problems: How to objectively group factors and measure robustness and convergence while reducing computational cost.
Environ. Model. Softw., 2019

Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices.
Environ. Model. Softw., 2019

Presecription opioid tapering: Mining structured and unstructured data.
Proceedings of the AMIA 2019, 2019

2017
Detecting Opioid-Related Aberrant Behavior using Natural Language Processing.
Proceedings of the AMIA 2017, 2017

2016
Opioid-Related Side Effects and Adverse Reactions: Mining of Patient Secure Messages.
Proceedings of the AMIA 2016, 2016

2014
The Effect of Mild Motion Sickness and Sopite Syndrome on Multitasking Cognitive Performance.
Hum. Factors, 2014

2012
A comparison of two sampling methods for global sensitivity analysis.
Comput. Phys. Commun., 2012

2006
Single compartment fire risk analysis using a fuzzy neural network.
Proceedings of the International Joint Conference on Neural Networks, 2006


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