Stefano Rovetta
Socio Associato
University of Genova, Italy
Contact Information
RESEARCH AREA
machine learning
SELECTED PUBLICATIONS
M. Filippone, F. Camastra, F. Masulli, and S. Rovetta, “A survey of kernel and spectral methods for
clustering,” Pattern Recognition, vol. 40, no. 1, pp. 176–190, January 2008.
K. Honda, H. Ichihashi, F. Masulli, and S. Rovetta, “Linear fuzzy clustering with selection of variables using
graded possibilistic approach,” IEEE Transactions on Fuzzy Systems, vol. 15, no. 5, pp. 878–889, October
2007.
S. Rovetta and F. Masulli, “Vector quantization and fuzzy ranks for image reconstruction,” Image and Vision
Computing, vol. 25, no. 2, pp. 204–213, 2006.
F. Masulli and S. Rovetta, “Soft transition from probabilistic to possibilistic fuzzy clustering,” IEEE
Transactions on Fuzzy Systems, vol. 14, no. 4, pp. 516–527, August 2006.
S. Rovetta and F. Masulli, “Shared farthest neighbor approach to clustering of high dimensionality, low
cardinality data,” Pattern Recognition, vol. 39, no. 12, pp. 2415–2425, December 2006.
G. B. Ferrara, L. Delfino, F. Masulli, S. Rovetta, and R. Sensi, “A fuzzy approach to image analysis in HLA
typing using oligonucleotide micorarrays,” Fuzzy Sets and Systems, vol. 152, no. 1, pp. 37–48, May 2005.
F. Masulli and S. Rovetta, “Random voronoi ensembles for gene selection,” Neurocomputing, vol. 55, no.
3-4, pp. 721–726, 2003.
clustering,” Pattern Recognition, vol. 40, no. 1, pp. 176–190, January 2008.
K. Honda, H. Ichihashi, F. Masulli, and S. Rovetta, “Linear fuzzy clustering with selection of variables using
graded possibilistic approach,” IEEE Transactions on Fuzzy Systems, vol. 15, no. 5, pp. 878–889, October
2007.
S. Rovetta and F. Masulli, “Vector quantization and fuzzy ranks for image reconstruction,” Image and Vision
Computing, vol. 25, no. 2, pp. 204–213, 2006.
F. Masulli and S. Rovetta, “Soft transition from probabilistic to possibilistic fuzzy clustering,” IEEE
Transactions on Fuzzy Systems, vol. 14, no. 4, pp. 516–527, August 2006.
S. Rovetta and F. Masulli, “Shared farthest neighbor approach to clustering of high dimensionality, low
cardinality data,” Pattern Recognition, vol. 39, no. 12, pp. 2415–2425, December 2006.
G. B. Ferrara, L. Delfino, F. Masulli, S. Rovetta, and R. Sensi, “A fuzzy approach to image analysis in HLA
typing using oligonucleotide micorarrays,” Fuzzy Sets and Systems, vol. 152, no. 1, pp. 37–48, May 2005.
F. Masulli and S. Rovetta, “Random voronoi ensembles for gene selection,” Neurocomputing, vol. 55, no.
3-4, pp. 721–726, 2003.
OTHER MEMBERSHIPS
INdAM-GNCS
CNISM
CNISM
MAIN TEACHINGS
Reti Neurali
Programmazione
Programmazione
