In this paper, we argue that only using behavioural motion information, we are able to predict the interest of observers when looking at face-to-face interactions. We propose a set...
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
Abstract. This paper presents J-MADeM, a new market-based multi-agent approach devoted to perform social simulations with BDI agents. J-MADeM is available as an open-source library...
Francisco Grimaldo, Miguel Lozano, Fernando Barber
Abstract-- Recently, the research on quantum-inspired evolutionary algorithms (QEA) has attracted some attention in the area of evolutionary computation. QEA use a probabilistic re...
In this paper, the automatic customization of an agent-based medical system is approached by means of ontologies. The particular case of Home Care studied and developed in the EU K...
Abstract. The design and the validation of an automatic plaque characterization technique based on Intravascular Ultrasound (IVUS) usually requires a data ground-truth. The histolo...
Francesco Ciompi, Oriol Pujol, Oriol Rodriguez-Leo...
Acronyms are widely used in many domains to abbreviate and stress important concepts. Due to its dynamicity and unbounded nature, manual attempts to compose a global scale reposito...
Evolving a robot's sensor morphology along with its control program has the potential to significantly improve its effectiveness in completing the assigned task, plus accommod...
According to the World Health Organization (WHO) health care systems worldwide are faced with the challenge of responding to the needs of people with chronic conditions such as dia...