The Live OWL Documentation Environment: a tool for the automatic generation of ontology documentation Silvio Peroni1 , David Shotton2 , and Fabio Vitali1 1

Source URL: speroni.web.cs.unibo.it

• Data
• Knowledge representation
• RDF
• Technical communication
• Web Ontology Language
• Semantic publishing
• Resource
• RDF Schema
• NeOn Toolkit
• Semantic Web
• Information
• Ontology

Superdiffusion of magnetic elements in the quiet Sun Dr. Fabio Giannattasio INAF - Osservatorio Astronomico di Roma email: [removed]

Source URL: www.astropa.inaf.it

• Astrophysics
• Magnetohydrodynamics
• Magnetogram
• Magnetic reconnection
• Plasma
• Magnetic field
• Physics
• Plasma physics
• Space plasmas

1 Training and Approximation of a Primal Multiclass Support Vector Machine Alexander Zien1,2 and Fabio De Bona1 and Cheng Soon Ong1,2

Source URL: www.ong-home.my

• Statistical classification
• Operator theory
• Machine learning
• Support vector machines
• Projection
• Positive-definite kernel
• Normal distribution
• Function
• Statistics
• Mathematical analysis
• Mathematics

The Technician N°43•EEditorial: Forward Thinking

Source URL: www.uefa.org

• Fabio Capello
• Association football tactics and skills
• Marcello Lippi
• Juventus F.C.
• Formation
• Theo Walcott
• Italy national football team
• Adidas Jabulani
• Football in Italy
• Association football
• Sport in Italy

FA COMUNICATO STAMPA FABIO VIALE VINCE IL PREMIO CAIRO 2014

Source URL: www.cairoeditore.it

Chapter 8 What is a model, why people don’t trust them, and why they should Fabio Boschetti CSIRO Marine Research Elizabeth A. Fulton

Source URL: www.sciencearchive.org.au

• Philosophy of mind
• Computational science
• Economic model
• Scientific modelling
• Mental model
• Complex systems
• Social simulation
• Agent-based model
• Weather forecasting
• Ethology
• Science
• Scientific modeling

Real-Time Clustering for Long-Term Autonomy Lionel Ott and Fabio Ramos Abstract In the future robots will have to operate autonomously for long periods of time. To achieve this they need to be able to learn directly from

Source URL: www-personal.acfr.usyd.edu.au

• DBSCAN
• Spectral clustering
• Consensus clustering
• Data stream clustering
• Statistics
• Cluster analysis
• K-means clustering

2011 IEEE International Conference on Robotics and Automation Shanghai International Conference Center May 9-13, 2011, Shanghai, China Visual Odometry Learning for Unmanned Aerial Vehicles Vitor Guizilini and Fabio Ramos

Source URL: www-personal.acfr.usyd.edu.au

• Robotic sensing
• Visual odometry
• Estimation theory
• Computer vision
• Optical flow
• Egomotion
• Normal distribution
• Covariance
• Global Positioning System
• Statistics
• Technology
• Surveying

2012 IEEE International Conference on Robotics and Automation RiverCentre, Saint Paul, Minnesota, USA May 14-18, 2012 Unsupervised Incremental Learning for Long-Term Autonomy Lionel Ott and Fabio Ramos

Source URL: www-personal.acfr.usyd.edu.au

• Artificial intelligence
• Segmentation
• K-means clustering
• Unsupervised learning
• Pattern recognition
• Statistical classification
• Consensus clustering
• Cluster analysis
• Machine learning
• Statistics
• Computational statistics

Bayesian Joint Inversions for the Exploration of Earth Resources Alistair Reid1 , Simon O’Callaghan1 , Edwin Bonilla1 , Lachlan McCalman1 , Tim Rawling2 and Fabio Ramos3 1. NICTA, 2. University of Melbourne, 3. Univers

Source URL: www-personal.acfr.usyd.edu.au

• Covariance and correlation
• Data analysis
• Interpolation
• Kriging
• Multivariate interpolation
• Normal distribution
• Inverse problem
• Covariance matrix
• Inversive geometry
• Statistics
• Geology
• Geostatistics