S
Severino F. Galán
Researcher at National University of Distance Education
Publications - 21
Citations - 435
Severino F. Galán is an academic researcher from National University of Distance Education. The author has contributed to research in topics: Bayesian network & Probabilistic logic. The author has an hindex of 11, co-authored 20 publications receiving 399 citations.
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Efficient computation for the noisy MAX
TL;DR: This article proposes a new factorization of the noisy MAX that amounts to Díez's algorithm in the case of polytrees and at the same time is more efficient than previous factorizations when combined with either variable elimination or clustering.
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NasoNet, modeling the spread of nasopharyngeal cancer with networks of probabilistic events in discrete time
TL;DR: NasoNet is described, a system that applies NPEDTs to the diagnosis and prognosis of nasopharyngeal cancer and makes use of temporal noisy gates to model the dynamic causal interactions that take place in the domain.
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Networks of probabilistic events in discrete time
TL;DR: Several types of temporal noisy gates are introduced, which constitute a generalization of traditional canonical models of multicausal interactions, such as the noisy OR-gate, which have been usually applied to static domains.
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Comparative evaluation of region query strategies for DBSCAN clustering
TL;DR: This paper considers the most relevant region query strategies for DBSCAN, all of them characterized by inspecting the neighborhoods of only a subset of the objects in the dataset, and comparatively evaluates them in terms of clustering effectiveness and efficiency.
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Incorporating organizational factors into probabilistic safety assessment of nuclear power plants through canonical probabilistic models
TL;DR: Significant improvements in the way BNs for the ω -factor approach can be constructed are introduced, so that parameter acquisition becomes easier and more intuitive.