Abstract. We present a method for applying machine learning algorithms to the automatic classification of astronomy star surveys using time series of star brightness. Currently su...
Gabriel Wachman, Roni Khardon, Pavlos Protopapas, ...
— The heterogeneity in the contemporary multimedia environments requires a format-agnostic adaptation framework for the consumption of digital video content. Scalable bitstreams ...
Davy De Schrijver, Wesley De Neve, Koen De Wolf, P...
Abstract. The SEQUENCE constraint is useful in modelling car sequencing, rostering, scheduling and related problems. We introduce half a dozen new encodings of the SEQUENCE constra...
Sebastian Brand, Nina Narodytska, Claude-Guy Quimp...
Abstract. We introduce a uniform framework for reasoning about infinitestate systems with unbounded control structures and unbounded data domains. Our framework is based on constr...
Ahmed Bouajjani, Peter Habermehl, Yan Jurski, Miha...
AbstractThis paper focuses on human-machine communication with intelligent agents, it proposes a generic architecture with an algorithm for natural language (NL) command interpreta...