AbstractWe propose in this paper a new approach for the modelling and recognition of temporal scenarios. A scenario is represented by three different structures. The first one models the logical dependency between the elements of the scenario, using possibilistic logic, while the second one is the minimal temporal graph representing all temporal constraints between the events. The third structure explains the way the matching between observations and scenarios has to be done. The consistency between the three structures is ensured
International audienceUncertain relations between temporal points are represented by means of possib...
AbstractComplex real-world systems consist of collections of interacting processes/events. These pro...
Complete and Absolute temporal knowledge is usually not always available for many knowledge based sy...
AbstractWe propose in this paper a new approach for the modelling and recognition of temporal scenar...
International audienceThe recognition of high level clinical scenes is fundamental in patient monito...
The recognition of high level clinical scenes is fundamental in patient monitoring. In this paper, w...
An intervention is a tool that enables us to distinguish between causality and simple correlation. T...
International audienceUncertain relations between temporal points are represented by means of possib...
International audienceAn intervention is a tool that enables us to distinguish between causality and...
The world in which we live changes in uncertain ways. Building intelligent machines able to interac...
. This paper is an attempt to cast both uncertainty and time in a logical framework. It generalizes ...
AbstractPossibilistic logic bases and possibilistic graphs are two different frameworks of interest ...
Abstract. We provide semantics for the powerful scenario-based language of live sequence charts (LSC...
International audiencePossibilistic logic bases and possibilistic graphs are two different framework...
International audienceUncertain relations between temporal points are represented by means of possib...
AbstractComplex real-world systems consist of collections of interacting processes/events. These pro...
Complete and Absolute temporal knowledge is usually not always available for many knowledge based sy...
AbstractWe propose in this paper a new approach for the modelling and recognition of temporal scenar...
International audienceThe recognition of high level clinical scenes is fundamental in patient monito...
The recognition of high level clinical scenes is fundamental in patient monitoring. In this paper, w...
An intervention is a tool that enables us to distinguish between causality and simple correlation. T...
International audienceUncertain relations between temporal points are represented by means of possib...
International audienceAn intervention is a tool that enables us to distinguish between causality and...
The world in which we live changes in uncertain ways. Building intelligent machines able to interac...
. This paper is an attempt to cast both uncertainty and time in a logical framework. It generalizes ...
AbstractPossibilistic logic bases and possibilistic graphs are two different frameworks of interest ...
Abstract. We provide semantics for the powerful scenario-based language of live sequence charts (LSC...
International audiencePossibilistic logic bases and possibilistic graphs are two different framework...
International audienceUncertain relations between temporal points are represented by means of possib...
AbstractComplex real-world systems consist of collections of interacting processes/events. These pro...
Complete and Absolute temporal knowledge is usually not always available for many knowledge based sy...