Learning temporal causal graph structures from multivariate time-series data reveals important dependency relationships between current observations and histories, and provides a ...
Yan Liu 0002, Alexandru Niculescu-Mizil, Aurelie C...
We conducted interviews with blind and deaf-blind people to understand how they use the public transit system. In this paper, we discuss key challenges our participants faced and ...
This work is aimed at establishing a common frame and understanding of function modeling (FM) for our ongoing research activities. A comparative review of the literature is perfor...
M. S. Erden, H. Komoto, T. J. van Beek, V. D'Ameli...
This paper introduces a general framework for defining the entropy of a graph. Our definition is based on a local information graph and on information functionals derived from the...
Research augmenting B machines presented at B2007 has demonstrated how fragments of control flow expressed as annotations can be added to associated machine operations, and shown t...