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UNIVERSITÀ DEGLI STUDI
DEL SANNIO   Benevento

Pubblicazioni di ateneo

Found 137 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.
Silvestri, E., D. Glinni, F. Cioffi, M. Moreno, A. Lombardi, P. de Lange, R. Senese, M. Ceccarelli, A. Salzano, A. Scaloni, et al., "Metabolic effects of the iodothyronine functional analogue TRC150094 on the liver and skeletal muscle of high-fat diet fed overweight rats: an integrated proteomic study.", MOLECULAR BIOSYSTEMS, vol. 8, pp. 1987–2000, 2012.
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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