Computational neuroscience is an appealing interdisciplinary domain, at the interface between biology and computer science. It aims at understanding the experimental data obtained...
Next to prediction accuracy, the interpretability of models is one of the fundamental criteria for machine learning algorithms. While high accuracy learners have intensively been e...
This paper describes a Web-based query system for semantically heterogeneous geospatial data. Our goal is to provide DBMS type query capabilities to a proposed statewide land info...
Nancy Wiegand, Naijun Zhou, Stephen J. Ventura, Is...
A method for automatic horizon tracking in reflection seismic data images across discontinuities is described. Horizon tracking is an important task of the structural interpretati...
In this paper, we pose a novel research problem for machine learning that involves constructing a process model from continuous data. We claim that casting learned knowledge in ter...
Will Bridewell, Pat Langley, Ljupco Todorovski, Sa...