Symbolic knowledge extraction for explainable nutritional recommenders

Background and objective:This paper focuses on nutritional recommendation systems (RS), i.e. AI-powered automatic systems providing users with suggestions about what to eat to pursue their weight/body shape goals. A trade-off among (potentially) conflictual requirements must be taken into account when designing these kinds of systems, there...

Using knowledge graphs and deep learning algorithms to enhance digital cultural heritage management

Cultural heritage management poses significant challenges for museums due to fragmented data, limited intelligent frameworks, and insufficient applications. In response, a digital cultural heritage management approach based on knowledge graphs and deep learning algorithms is proposed to address the above challenges. A joint entity-relation...

Dynamic and interactive re-formulation of multi-objective optimization problems for conceptual architectural design exploration

Simulation-Based Multi-Objective Optimization (SBMOO) methods are being increasingly used in conceptual architectural design. They mostly focus on the solving, rather than the re-formulation, of a Multi-Objective Optimization (MOO) problem. However, Optimization Problem Re-Formulation (Re-OPF) is necessary for treating ill-defined conceptual...

Multi-disciplinary and multi-objective optimization problem re-formulation in computational design exploration: A case of conceptual sports building design

The benefits of applying multi-objective optimization (MOO) in building design have been increasingly recognized in recent decades. The existing or traditional computational design optimization (CDO) approaches mostly focus on optimization problem solving (OPS), as they often conduct optimizations directly by assuming the optimization...

Extract Knowledge from Social Networks

The knowledge extraction using data retrieved from Online Social Networks is mainly done through a manual-programming procedure with the use of Application Programming Interfaces. However, the majority of social science researchers has usually low programming experience. Thus, the procedure from data retrieval to knowledge extraction is not a...

Knowledge driven facial modelling

This research aims at supporting users if not involved in computer graphics, facial physiology, or psychology and in need of generating realistic facial animations. Realism is to be understood in terms of the visual appeal of a single rendered image and focused on believable behaviour of the animated face. Our goal is to develop a system...