Efficient response to natural disasters has an increasingly important role in limiting the toll on human life and property. The work we have undertaken seeks to improve existing models by building a Decision Support System (DSS) of resource allocation and planning for natural disaster emergencies in urban areas. A multi-agent environment is used to simulate disaster response activities, taking ...

The task of expert finding has been getting increasing attention in the information retrieval literature. However, the current state-of-the-art still lacks in principled approaches for combining different sources of evidence in an optimal way. This article explores the usage of learning to rank methods as a principled approach for combining multiple estimators of expertise, derived from the tex...

In this paper, authors have proposed an interpretable feature recommendation method for solving sensor signal analytics problem machine maintenance domain. The basic Wide learning based architecture for feature recommendation is out of the scope of discussion in this paper and authors have emphasized on the interpretation of the recommended features and how this human in loop interpretation sys...

In this note, we present a version of the Thompson sampling algorithm for the problem of online linear generalization with full information (i.e., the experts setting), studied by Kalai and Vempala, 2005. The algorithm uses a Gaussian prior and time-varying Gaussian likelihoods, and we show that it essentially reduces to Kalai and Vempala’s Follow-thePerturbed-Leader strategy, with exponentiall...

The ultimate goals of serious education games (SEG) are to facilitate learning and maximizing enjoyment during playing SEGs. In SEG development, there are normally two spaces to be taken into account: knowledge space regarding learning materials and content space regarding games to be used to convey learning materials. How to deploy the learning materials seamlessly and effectively into game co...

Expert finding is an information retrieval task that is concerned with the search for the most knowledgeable people with respect to a specific topic, and the search is based on documents that describe people’s activities. The task involves taking a user query as input and returning a list of people who are sorted by their level of expertise with respect to the user query. Despite recent interes...