Artificial Intelligence
Dynamic across-time measurement interpretation
Artificial Intelligence - Special issue: Qualitative reasoning about physical systems II
KADS: a modelling approach to knowledge engineering
Knowledge Acquisition - Special issue on the KADS approach to knowledge engineering
A structure of problem-solving methods for real-time decision support in traffic control
International Journal of Human-Computer Studies
International Journal of Human-Computer Studies
Common KADS Library for Expertise Modelling
Common KADS Library for Expertise Modelling
Automated Support for Building and Extending Expert Models
Machine Learning
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
A Probabilistic Model for Information and Sensor Validation
The Computer Journal
Data validation during diagnosis, a step beyond traditional sensor validation
AAAI'87 Proceedings of the sixth National conference on Artificial intelligence - Volume 2
Dynamic across-time measurement interpretation
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
Focusing on probable diagnoses
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 2
A probabilistic model for sensor validation
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
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The introduction of systems for automatic data acquisition to monitor and control hydrological basins is a qualitative change in the field of hydrology. The large amount of information available increases the number of processes that can be analyzed with a quantitative approach. In the past, hydrological data validation was done manually by applying the knowledge of experts in the field. This article proposes to solve this problem using AI techniques. As a result, a generic model is defined for the cognitive task of data validation. The model is then applied to a real case.