Siren
Società Italiana Reti Neuroniche
Siren
Menu
Società Italiana Reti Neuroniche
Francesco Camastra, Angelo Ciaramella, Michele Scarpiniti, Antonino Staiano
Multimodal systems offer a flexible, efficient and usable environment allowing users to interact through input modalities. Multimodal signal processing is an important research and development field, in multimodal systems sector, that processes signals and combines information from a variety of modalities (e.g., speech, language, text) which significantly enhance the understanding, modelling, and performance of human-computer interaction devices or systems enhancing human-human communication. Moreover, multimodal human-computer interaction enables a more free and natural communication, interfacing users with automated systems in both input and output.
The aim of the special session is to host original papers and reviews on recent research advances and the state-of-the-art methods in the fields of Soft Computing, Machine Learning and Data Mining methodologies concerning with the processing of multimodal data in order to highlight about systems and data processing tools.
Marco Corazza
In economics and finance, there is an increasing interest towards computational and methodological intelligent approaches. For instance: bio-inspired optimizers are used to solve complex financial optimization problems; machine learning techniques are considered to model the behavior of economic agents; non standard logics are applied in economic/financial decision making problems. The contributions of this special session are in this trend.
to
Anna Costanza Baldry
Ufficiale al Merito della Repubblica Italiana
Full Professor of Social Psychology
Department of Psychology, Università degli studi della Campania “Luigi Vanvitelli”
“I was not afraid of the words of the violent, but of the silence of the honest” (ML King)
The word Empathic Systems, added to the title of this special session, has two meanings:
The themes of this special session are multidisciplinary in nature, and closely connected in their final aims to identifying features from realistic dynamics of signal exchanges. Such dynamics characterize, formal and informal social signals, communication modes, hearing and vision processes, and brain functionalities. Of particular interest are analyses of visual, written and auditory information and corresponding computational efforts to automatically detect and interpret their semantic and pragmatic contents. Related applications of these interdisciplinary facets are ICT interfaces able to detect health and affective states of their users, interpret their psychological and behavioral patterns and support them through positively designed interventions aiming at improving their quality of life.
Relevant topics thus include but are not limited to: