Modeling motor memory to enhance multiple task learning 

Automated alert generation to improve decision-making in human robot teams 

Psychosocial adjustment among patients with metastatic colorectal cancer 

Early-warning systems for crisis risk 

Strategies for effective rail track capacity use 

Scalable evacuation routing in dynamic environments 

The murky risk of trade protectionism in an interconnected and uncertain global economy: a state, industrial, and regional analysis 

Environment impact upon the dynamics of a health planning agency during periods of uncertainty 

Optimization of CO2 storage efficiency under geomechanical risks using coupled flow-geomechanics-fracturing model 

The economic and political impacts of U.S. federal carbon emissions trading policy across households, sectors and states 

Institutional analysis of factors critical to facilitating project management and implementation of Metro ExpressLanes 

Context-adaptive expandable-compact POMDPs for engineering complex systems 

Evaluation of policy alternatives to alleviate transportation-related air pollution 

A robust model for disaster risk and decision analysis 

Leveraging training information for efficient and robust deep learning 

Handling attacker’s preference in security domains: robust optimization and learning approaches 

Loaded questions: the prevalence, causes, and consequences of teacher salary schedule frontloading 

The rhetoric of representation: planning Los Angeles' civic space, 1909-2009 

Institutional analysis of stakeholder collaboration in freight movement at the ports of Los Angeles and Long Beach 

Health impact assessment, the concept, science, and application in China 

Recent experience in the utilization of private finance for American toll road development 

Motion coordination for large multi-robot teams in obstacle-rich environments 

New approaches for routing courier delivery services 

Losers, winners and hype: Consumer choice of stocks under uncertainty 

An approach to strategic planning in the federal government