AIM: To assess the usefulness of FibroTest to forecast scores by constructing decision trees
in patients with chronic hepatitis C. METHODS: We used the C4. 5 classification algorithm to …

Naturalness and effectiveness of gesture-based communication strongly depend on the success
of gesture recognition. However, confusion in classification increases when considering …

Visual recognition of gestures is an important field of study in human-robot interaction research.
Although there exist several approaches in order to recognize gestures, on-line learning …

Dynamic Bayesian networks are a powerful representation to describe processes that vary
over time inside a stochastic framework. This paper describes an online visual recognition …

Previous evaluations of gesture recognition techniques have been focused on classification
performance, while ignoring other relevant issues such as knowledge description, feature …

The development of service robots has recently received considerable attention. Their
deployment, however, normally involves a substantial programming effort to develop a particular …

Spiking Neural Networks (SNNs) have become an important research theme due to new
discoveries and advances in neurophysiology, which states that information among neurons is …

El desarrollo de robots de servicio capaces de apoyar a los seres humanos en tareas cotidianas
ha despertado gran interés en los últimos años. Sin embargo, el costo económico para …

La interacción humano-robot usando gestos es una forma de comunicación natural para
instruir robots de servicio. Sin embargo, la naturalidad y efectividad de este tipo de …

The development of service robots has recently received considerable attention. Their
deployment, however, normally involves a substantial programming effort to develop a particular …