My research focus is on using continuous state partially observable Markov decision processes (POMDPs) to perform object manipulation tasks using a robotic arm. During object mani...
Unexpected stimuli are a challenge to any machine learning algorithm. Here we identify distinct types of unexpected events, focusing on 'incongruent events' when 'g...
The expectation maximization (EM) algorithm is a widely used maximum likelihood estimation procedure for statistical models when the values of some of the variables in the model a...
Information systems (IS) and software engineering (SE) have shared the domain of systems and software development for several decades with too little overlap in practice and resea...
Many transport policies and innovations are liable to have implications for human health and safety. How should such implications be weighed against the other costs and benefits? ...