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UNIVERSITÀ DEGLI STUDI
DEL SANNIO   Benevento

Pubblicazioni di ateneo

Found 136 results
Author [ Titolo(Desc)] Tipo Anno
Filters: Author is Ceccarelli, M.  [Clear All Filters]
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Ceccarelli, M., A. Donatiello, and D. Vitale, "KON$^3$}: A Clinical Decision Support System, in Oncology Environment, Based on Knowledge Management", IEEE ICTAI 2008, Tools with Artificial Intelligence: IEEE Computer Society, pp. 206-210, 2008.
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Ceccarelli, M., A. d'Acierno, and A. Facchiano, "A Machine Learning Aapproach to Mass Spectra Classification with Unsupervised Feature Selection", Lecture Notes in Computer Science, vol. 5488, pp. 242-252, 2009.
d'Acierno, A., M. Ceccarelli, A. Farina, A. Petrosino, and L. Timmoneri, "`Mapping QR Decomposition on Parallel Computers: A Study Case for Radar Applications", IEICE Transactions on Communication, vol. E77-B, no. 10, pp. 1264-1271, 1994.
Antoniol, G., and M. Ceccarelli, "A Markov random field approach to microarray image gridding", Internatioanl Conference on Pattern Recognition 2004, (ICPR 2004): IEEE Press, pp. 550-553, 2004.
Antoniol, G., M. Ceccarelli, and A. Petrosino, "Microarray image addressing based on the Radon transform", IEEE International Conference on Image Processing 2005 (ICIP2005): IEEE, pp. 13-16, 2005.
Antoniol, G., and M. Ceccarelli, "Microarray image gridding with stochastic search based approaches", Image and Vision Computing, vol. 25, no. 2, pp. 155-163, 2007.
Ceccarelli, M., and A. Petrosino, "Multifeature Adaptive Classifiers for SAR Image Segmentatio", Neurocomputing, vol. 17, pp. 345-363, 1997.
Diodato, N., and M. Ceccarelli, "Multivariate indicator Kriging approach using a GIS to classify soil degradation for Mediterranean agricultural lands", Ecological Informatics,, vol. 4, no. 3, pp. 177-187, 2006.
Diodato, N., and M. Ceccarelli, "Multivariate indicator Kriging approach using a GIS to classify soil degradation for Mediterranean agricultural lands", Ecological Indicators, vol. 4, no. 3, pp. 177-187, 2004.
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Ceccarelli, M., A. Farina, A. Petrosino, R. Vaccaro, and F. Vinelli, "Neural Network Techniques for SAR Image Segmentation", Artificial Neural Networks IV: Springer Verlag, pp. 1145-1148, 1994.
Murli, A., M. Ceccarelli, L. D'Amore, and V. De Simone, "Numerical Methods for Total Variation-based Deblurring: a Comparison in a Parallel Environmen", Large Scale Scientific Computations of Engineering and Environmental Problems II, vol. 73: Vieweg, pp. 257–264, 1999.
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Ceccarelli, M., and A. Petrosino, "The orientation matching approach to circular object detection", IEEE International Conference on Image Processing: IEEE, pp. 712-715, 2001.

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