-
Article
Open AccessA maritime decision support system to assess risk in the presence of environmental uncertainties: the REP10 experiment
The aim of this work is to report on an activity carried out during the 2010 Recognized Environmental Picture experiment, held in the Ligurian Sea during summer 2010. The activity was the first at-sea test of ...
-
Article
SVME: an ensemble of support vector machines for detecting oil spills from full resolution MODIS images
This paper addresses oil spill detection from remotely sensed optical images. In particular, it focuses on the automatic classification of regions of interest (ROIs) in two classes, namely oil spills or look-a...
-
Article
Computer-aided detection of lung nodules based on decision fusion techniques
We adopted decision fusion techniques to develop a computer-aided detection (CAD) system for automatic detection of pulmonary nodules in low-dose CT images. Two distinct phases, aimed, respectively, at detecti...
-
Chapter
Towards Efficient Multi-objective Genetic Takagi-Sugeno Fuzzy Systems for High Dimensional Problems
Multi-objective genetic Takagi-Sugeno (TS) fuzzy systems use multiobjective evolutionary algorithms to generate a set of fuzzy rule-based systems of the TS type with different trade-offs between, generally, co...
-
Article
A Pareto-based multi-objective evolutionary approach to the identification of Mamdani fuzzy systems
In the last years, the numerous successful applications of fuzzy rule-based systems (FRBSs) to several different domains have produced a considerable interest in methods to generate FRBSs from data. Most of th...
-
Chapter and Conference Paper
Modelling a Team of Radiologists for Lung Nodule Detection in CT Scans
This paper describes a system for automatic detection of pulmonary nodules in lung CT (Computed Tomography) images. After modelling the activity of a single radiologist as two subsequent phases, namely, the re...
-
Chapter and Conference Paper
Identification of Takagi-Sugeno Fuzzy Systems Based on Multi-objective Genetic Algorithms
In this paper we exploit multi-objective genetic algorithms to identify Takagi-Sugeno (TS) fuzzy systems that show simultaneously high accuracy and low complexity. Using this approach, we approximate the Paret...
-
Chapter and Conference Paper
An Artificial Olfactory System for Quality and Geographical Discrimination of Olive Oils
In this paper we present an artificial olfactory system for classification and recognition of both quality and geographical origin of olive oil. The olfactory system employs a set of metal oxide sensors. Two d...
