Explore our research publications: papers, articles, and conference proceedings from AImageLab.
Authors: Sangineto, E; M., Anelli; A., Micarelli
Authors: M., Anelli; A., Micarelli; Sangineto, E
Published in: IJCAI
Authors: Capuano, N.; M., Gaeta; Micarelli, A.; Sangineto, E.
We propose a Web tutoring system in which Artificial Intelligence techniques and Semantic Web approaches are integrated in order to provide an automatic tool able both to completely customize learning on the student’s needs and to exchange learning material with other Web systems. IWT (Intelligent Web Teacher) is based on an ad hoc knowledge representation which describes the didactic domain by means of an Ontology. The student can select the concepts belonging to the Ontology she/he is interested in which. The system planning mechanism builds the most suitable Learning Path for that student.
Authors: Vergara, M.; Capuano, N.; Sangineto, E.
The purpose of this paper is to describe the work in progress related to the design, the implementation and the evaluation of an innovative e-learning platform for ICT individual training in the framework of an EC funded project named Diogene. The present e-learning solution includes several state-of-the-art technologies and methodologies such as: metadata and ontologies for knowledge manipulation, fuzzy learner modelling, intelligent course tailoring, co-operative and online training support. The proposed solution is based on the distribution of working tasks among content provider services, content discovery services, content brokering services, training services, curriculum vitae searching services and collaboration services.
Authors: M. R., Iarusso; A., Micarelli; Sangineto, E
Authors: Iarusso, M. R.; Micarelli, A.; Sangineto, E.
Published in: IFAC PROCEEDINGS VOLUMES
In this paper we propose a vision-based system that lets the robot recognize an environment observed through the construction of a perspective structure which characterizes it. The individualization of the most significant characteristics of the perspective structure is performed by a geometric method that, using the information given by the image, represents the scene through elementary geometrical forms (such as straight lines) and, on the basis of this geometrical representation, it detects the perspective structure elements (e.g. the vanishing point). The method returns results that can help the robot to establish if he is really inside a corridor or in another place.
Authors: M., Anelli; A., Micarelli; Sangineto, E
Published in: FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS
Authors: A., Degli Esposti; A., Micarelli; A., Neri; Sangineto, E; G., Sansonetti
Published in: AIIA NOTIZIE