Stochastic satisfiability modulo theories (SSMT), which is an extension of satisfiability modulo theories with randomized quantification, has successfully been used as a symboli...
A novel approach to computer vision is outlined, involving the use of imprecise probabilities to connect a deep learning based hierarchical vision system with both local feature de...
This paper presents an interactive system for the annotation of brain anatomical structures in Magnetic Resonance Images. The system is based on hybrid knowledge and techniques. Fi...
The Agent WiSARD methodology for intelligent active video surveillance systems is proposed in this paper. The hybrid neurosymbolic system (called ISIDIS) is based on the integrati...
Abstract. In a trace-based world, the modular speci cation, veri cation, and control of live systems require each module to be receptive that is, each module must be able to meet i...