In this work we propose Context-based Image Similarity, a scheme for discovering and
evaluating image similarity in terms of the associated groups of concepts. Several semantic …

The study proposes and tests a technique for automated emotion recognition through mouth
detection via Convolutional Neural Networks (CNN), meant to be applied for supporting …

In this work, we present SEMO, a Semantic Model for Emotion Recognition, which enables
users to detect and quantify the emotional load related to basic emotions hidden in short …

Abstract Volunteer Geographic Information (VGI) is one of the key enablers of the mobility
mining discipline. This work introduces a novel data-driven methodology to create a …

The Internet explosion and the massive diffusion of mobile devices lead to the creation of a
worldwide collaborative system, daily used by millions of users through search engines and …

The ability of assessing the affective information content is of increasing interest in
applications of computer science, eg in human machine interfaces, recommender systems …

Topological link prediction is the task of assessing the likelihood of new future links based
on topological properties of entities in a network at a given time. In this paper, we introduce a …

A key element for achieving high throughput, eg circuits generated with high-level synthesis
(HLS) methods and model-based hardware design, is the use of modulo scheduling. Integer …

In this paper we introduce a novel model for link prediction in social network based on a
quantitative growth and diffusion model of node features which are used to compute …

The extraction of semantic contexts is a relevant issue in information retrieval to provide high
quality query results. This paper introduces the semantic context underlying a set of given …