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Numero di documenti a questo livello: 21.

Masotti, Matteo ; Campanini, Renato ; Mazzacurati, Lorenzo ; Falsaperla, Susanna ; Langer, Horst ; Spampinato, Salvo (2008) TREMOrEC: A software utility for automatic classification of volcanic tremor. Geochemistry, Geophysics, Geosystems, 9 (4).

Masotti, Matteo ; Campanini, Renato (2008) Texture classification using invariant ranklet features. Pattern Recognition Letters, 29 . pp. 1980-1986.

Masotti, Matteo ; Falsaperla, Susanna ; Langer, Horst ; Spampinato, Salvatore ; Campanini, Renato (2007) Activity regimes inferred from automatic classification of volcanic tremor at Mt. Etna, Italy. In: European Geosciences Union General Assembly, 15-20 April 2007, Vienna, Austria.

Campanini, Renato ; Lanconelli, Nico ; Masotti, Matteo ; Riccardi, Alessandro ; Petkov, Todor (2007) Lung CAD System. [Preprint]

Masotti, Matteo ; Falsaperla, Susanna ; Langer, Horst ; Spampinato, Salvatore ; Campanini, Renato (2006) Supervised and unsupervised automatic classification methods applied to volcanic tremor data at Mt Etna, Italy. In: American Geophysical Union Fall Meeting, 11-15 December 2006, San Francisco, USA.

Masotti, Matteo (2006) A ranklet-based image representation for mass classification in digital mammograms. Medical Physics, 33 (10). pp. 3951-3961.

Masotti, Matteo ; Falsaperla, Susanna ; Langer, Horst ; Spampinato, Salvo ; Campanini, Renato (2006) Application of Support Vector Machine to the classification of volcanic tremor at Etna, Italy. GEOPHYSICAL RESEARCH LETTERS, 33 .

Maniezzo, V. ; Roffilli, M. (2006) Very Strongly Constrained Problems: An Ant Colony Optimization Approach. [Preprint]

Masotti, Matteo (2006) Exploring ranklets performances in mammographic mass classification using recursive feature elimination. Proceedings of the 16th IEEE International Workshop on Machine Learning for Signal Processing . pp. 265-270.

Riccardi, Alessandro (2006) A new computer aided system for the detection of nodules in lung CT exams. [Preprint]

Masotti, Matteo (2006) Discriminating mass from normal breast tissue: a novel ranklet image representation for ROI encoding. [Preprint]

Masotti, Matteo ; Petkov, Todor (2006) False positive reduction in lung nodule computer-aided detection based on 3D ranklet transform. In: WavE 2006: Wavelets and Applications, July 10–14, 2006, Lausanne, Switzerland.

Angelini, Enrico ; Campanini, Renato ; Iampieri, Emiro ; Masotti, Matteo ; Petkov, Todor ; Roffilli, Matteo (2006) A ranklet-based CAD for digital mammography. Proceedings of the 8th International Workshop on Digital Mammography . pp. 340-346.

Masotti, Matteo ; Falsaperla, Susanna ; Langer, Horst ; Spampinato, Salvo ; Campanini, Renato (2006) A new automatic pattern recognition approach for the classification of volcanic tremor at Mt. Etna, Italy. In: European Geosciences Union General Assembly, April 02–07, 2006, Vienna, Austria.

Angelini, Enrico ; Campanini, Renato ; Iampieri, Emiro ; Lanconelli, Nico ; Masotti, Matteo ; Roffilli, Matteo (2006) Testing the performances of different image representations for mass classification in digital mammograms. International Journal of Modern Physics C, 17 (1). pp. 113-131.

Masotti, Matteo (2005) Optimal image representations for mass detection in digital mammography. [Preprint]

Masotti, Matteo (2005) Optimal image representations for mass detection in digital mammography. In: PhD Defense, 1 Giugno 2005, Bologna, Italia.

Masotti, Matteo (2005) Exploring ranklets performances in mammographic mass classification using recursive feature elimination. [Preprint]

Angelini, Enrico ; Campanini, Renato ; Riccardi, A (2005) Support vector regression filtering for reduction of false positives in a mass detection cad scheme: preliminary results. [Preprint]

Masotti, Matteo (2004) A ranklet–based image representation for mass classification in digital mammograms. [Preprint]

Angelini, Enrico ; Campanini, Renato ; Iampieri, Emiro ; Lanconelli, Nico ; Masotti, Matteo ; Roffilli, Matteo (2004) Testing the performance of image representations for mass classification in digital mammograms. [Preprint]

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