Explainable AI for enhanced decision-making
This paper contextualizes explainable artificial intelligence (AI) for enhanced decision-
making and serves as an editorial for the corresponding special issue. AI is defined as the …
making and serves as an editorial for the corresponding special issue. AI is defined as the …
Risk assessment of hazmat road transportation accidents before, during, and after the accident using Bayesian network
C Ren, M Yang - Process Safety and Environmental Protection, 2024 - Elsevier
Risk exists in the whole process of before, during and after the accident of hazardous
materials (hazmat) transportation, which usually lead to serious consequences. Risk …
materials (hazmat) transportation, which usually lead to serious consequences. Risk …
Artificial Intelligence in Aviation Safety: Systematic Review and Biometric Analysis
This study aims to offer aviation safety researchers, practitioners, and decision-makers a
comprehensive exploration of integrating advanced technologies, such as artificial …
comprehensive exploration of integrating advanced technologies, such as artificial …
Leveraging explainable artificial intelligence in understanding public transportation usage rates for sustainable development
Public transportation usage prediction is valuable for the sustainable development of
transportation systems, particularly in crowded megacities. Machine learning technologies …
transportation systems, particularly in crowded megacities. Machine learning technologies …
Transport behavior and government interventions in pandemics: A hybrid explainable machine learning for road safety
During a pandemic, transportation authorities and policymakers face significant challenges
in identifying and validating new travel behavior and how it affects traffic crash patterns to …
in identifying and validating new travel behavior and how it affects traffic crash patterns to …
A decision support framework for misstatement identification in financial reporting: A hybrid tree-augmented Bayesian belief approach
Over a six-year period, employees and managers at Wells Fargo created 3.5 million false
deposit and credit card accounts resulting in $4.8 billion in fines. Following this incident …
deposit and credit card accounts resulting in $4.8 billion in fines. Following this incident …
Predicting undergraduate student evaluations of teaching using probabilistic machine learning: The importance of motivational climate
The purpose of this study was to understand the complex interactions within a course among
motivational climate variables and student evaluations of teaching (SETs) by developing …
motivational climate variables and student evaluations of teaching (SETs) by developing …
Enabling explainable artificial intelligence capabilities in supply chain decision support making
Explainable artificial intelligence (XAI) has been instrumental in enabling the process of
making informed decisions. The emergence of various supply chain (SC) platforms in …
making informed decisions. The emergence of various supply chain (SC) platforms in …
Charting the future of pilots: maximizing airline workforce efficiency through advanced analytics
Pilots and aircraft are among the most valuable assets of an airline. Buying aircraft and
hiring pilots are crucial strategic decisions companies must oversee for sustainability. The …
hiring pilots are crucial strategic decisions companies must oversee for sustainability. The …
What postpones degree completion? Discovering key predictors of undergraduate degree completion through explainable artificial intelligence (XAI)
The timing of degree completion for students taking post-secondary courses has been a
constant source of angst for administrators wanting the best outcomes for their students …
constant source of angst for administrators wanting the best outcomes for their students …