90 citations · 273 across the 18 of their papers we have counts for
4 papers · 1 filter
Expressing Relational and Temporal Knowledge in Visual Probabilistic Networks
Luis Enrique Sucar, Duncan F. Gillies
Bayesian networks have been used extensively in diagnostic tasks such as medicine, where they represent the dependency relations between a set of symptoms and a set of diseases. A…
A Probabilistic Model For Sensor Validation
Pablo H. Ibarguengoytia, Luis Enrique Sucar, Sunil Vadera
The validation of data from sensors has become an important issue in the operation and control of modern industrial plants. One approach is to use knowledge based techniques to det…
Any Time Probabilistic Reasoning for Sensor Validation
Pablo H. Ibarguengoytia, Luis Enrique Sucar, Sunil Vadera
For many real time applications, it is important to validate the information received from the sensors before entering higher levels of reasoning. This paper presents an any time p…
A Temporal Bayesian Network for Diagnosis and Prediction
Gustavo Arroyo-Figueroa, Luis Enrique Sucar
Diagnosis and prediction in some domains, like medical and industrial diagnosis, require a representation that combines uncertainty management and temporal reasoning. Based on the…