Turnover intention is an employee's reported willingness to leave her organization within a
given period of time and is often used for studying actual employee turnover. Since …

The increasingly wide usage of smart infrastructure and location-aware terminals has
helped increase the availability of trajectory data with rich spatiotemporal information. The …

Drawing upon fundamental research in human behavior prediction, recently there has been
a research focus on how to predict driver behaviors. In this paper we review the field of …

Predicting human behavior from a small amount of training examples is a challenging
machine learning problem. In this thesis, we introduce the principle of maximum causal …

Taxi-booking apps have been very popular all over the world as they provide convenience
such as fast response time to the users. The key component of a taxi-booking app is the …

Destination prediction is an essential task for many emerging location based applications
such as recommending sightseeing places and targeted advertising based on destination. A …

We present PROCAB, an efficient method for Probabilistically Reasoning from Observed
Context-Aware Behavior. It models the context-dependent utilities and underlying reasons …

The frequency and intensity of natural disasters has significantly increased over the past
decades and this trend is predicted to continue. Facing these possible and unexpected …

In this paper, we study how to model taxi drivers' behavior and geographical information for
an interesting and challenging task: the next destination prediction in a taxi journey …

This paper develops and tests algorithms for predicting the end-to-end route of a vehicle
based on GPS observations of the vehicle's past trips. We show that a large portion a typical …