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DEL SANNIO   Benevento

Pubblicazioni di ateneo

Found 136 results
Author [ Titolo(Desc)] Tipo Anno
Filters: Author is Ceccarelli, Michele  [Clear All Filters]
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Bertucci, F., P. Finetti, I. Simeone, W. Hendrickx, E. Wang, F. M. Marincola, P. Viens, E. Mamessier, M. Ceccarelli, D. Birnbaum, et al., "The immunologic constant of rejection classification refines the prognostic value of conventional prognostic signatures in breast cancer", British Journal of Cancer, vol. 119, no. 11: Nature Publishing Group, pp. 1383, 2018.
Ceccarelli, M., and A. Maratea, "Improving fuzzy clustering of biological data by metric learning with side information", International Journal of Approximate Reasoning, vol. 47, no. 1, pp. 45-57, 2008.
Ceccarelli, M., and A. Petrosino, "Information Retrieval in Sparse Associative Memories", Artificial Neural Networks II: North-Holland, pp. 297-301, 1992.
Zoppoli, P., S. Morganella, and M. Ceccarelli, "An Information Theoretic Approach to Reverse Engineering of Regulatory Gene Networks from Time–Course Data", Lecture Notes in Computer Science, vol. 6160, pp. 97-111, 2010.
Diodato, N., and M. Ceccarelli, "Interpolation processes using multivariate geostatistics for mapping of climatological precipitation mean in the Sannio Mountains (southern Italy)", Earth Surface Processes and Landforms, vol. 30, no. 3, pp. 259-268, 2005.
Morganella, S., P. Zoppoli, and M. Ceccarelli, "IRIS}: a method for reverse engineering of regulatory relations in gene networks", BMC Bioinformatics, vol. 10, no. 1, pp. 444, 2009.
Cerulo, L., M. Di Penta, A.. Bacchelli, M. Ceccarelli, and G. Canfora, "Irish: A Hidden Markov Model to detect coded information islands in free text", Science of Computer Programming, vol. 105, 2015.
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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.
D'Angelo, F., M. Ceccarelli, T. Tala, L. Garofano, J. Zhang, V. Frattini, , K. D. Alfaro, L. Bauchet, G. Berzero, et al., "The molecular landscape of glioma in patients with Neurofibromatosis 1", Nature Medicine, vol. 25, no. 1, pp. 176–187, 2019.
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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