A new model for learning from multinomial data has recently been developed, giving predictive inferences in the form of lower and upper probabilities for a future observation. Apa...
Mining regression models from spatial data is a fundamental task in Spatial Data Mining. We propose a method, namely Mrs-SMOTI, that takes advantage from a tight-integration with s...
Abstract. We describe a method for combining formal program development with a disciplined and documented way of introducing realistic compromises, for example necessitated by reso...
Abstract. This paper explores the design space for message authentication in sensor networks. Several types of authentication are put into relation: end-to-end, hop-to-hop, and phy...
This paper extends the application of the Cantor metric as a mathematical tool for defining causalities from pure discrete models to mixed-signal and hybrid models. Using the Cant...