Convolutional neural network (CNN) is a very effective method to recognize facial emotions.
However, the preprocessing and selection of parameters of these methods heavily depend …

Smart mobile devices have fostered new interaction scenarios that demand sophisticated
interfaces. The main developers of operating systems for such devices provide APIs for …

Quality control processes are very important for monitoring applications where the aim is to
identify special causes of variation and improve quality and productivity. However, in many …

One of the main challenges in affective computing is the development of models to represent
the information that is inherent to emotions. It is necessary to consider that the terms used by …

Learning is part of education. The involvement of affective domain in education is very
important for holistic learning. Affective domain is part of Bloom's Taxonomy that consists of …

Recently, the calculus of fuzzy concept lattice is extensively studied with interval-valued and
bipolar fuzzy set for the precise representation of vagueness in cognitive concept learning …

The fast rise of the population aging verified in the last decades brings new challenges to
the modern societies. Most elderly persons have the usual problems related to the old age …

Classical data mining algorithms are considered inadequate to manage the volume, variety,
velocity, and veracity aspects of big data. The advent of a number of open-source cluster …

The target of Emotion modeling is to establish an system that can perceive, recognize, and
express emotions with concurrency which humanity have by proper mathematical models. A …

The use of AI analytics in health informatics has seen a rapid growth in recent years. In this
talk, we look at AI analytics use in managing chronic health conditions such as diabetes …