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UNIVERSITÀ DEGLI STUDI
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Pubblicazioni di ateneo

Found 137 results
Author Titolo [ Tipo(Desc)] Anno
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Journal Article
Pancione, M., G. Giordano, A. Remo, A. Febbraro, L. Sabatino, E. Manfrin, M. Ceccarelli, and V. Colantuoni, "Immune escape mechanisms in colorectal cancer pathogenesis and liver metastasis.", JOURNAL OF IMMUNOLOGY RESEARCH, 2014.
Pancione, M., G. Giordano, A. Remo, A. Febbraro, L. Sabatino, E. Manfrin, M. Ceccarelli, and V. Colantuoni, "Immune escape mechanisms in colorectal cancer pathogenesis and liver metastasis.", JOURNAL OF IMMUNOLOGY RESEARCH, 2013.
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.
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.
De Luca, N., R. Izzo, F. Rozza, G. Luigi Iovino, M. Assunta El Rao, O. Arcucci, S. Di Marino, A. Vasta, L. Lardo, M. Ceccarelli, et al., "L'approccio telematico nella riduzione del rischio cardiovascolare: un nuovo modello organizzativo assistenziale", Giornale Italiano di Cardiologia, vol. 8, no. 4, pp. 246-256, 2007.
Cerulo, L., E. Charles, and M. Ceccarelli, "Learning gene regulatory networks from only positive and unlabeled data", BMC BIOINFORMATICS, vol. 11, 2010.
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.
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., 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.
Ceccarelli, M., and A. Petrosino, "A parallel fuzzy scale-space approach to the unsupervised texture separation", Pattern Recognition Letters, vol. 23, no. 5, pp. 557-567, 2002.
Silvestri, E., F. Cioffi, D. Glinni, M. Ceccarelli, A. Lombardi, P. de Lange, A. Chambery, V. Severino, A. Lanni, F.. Goglia, et al., "Pathways affected by 3,5-diiodo-L-thyronine in liver of high fat-fed rats: evidence from two-dimensional electrophoresis, Blue-Native PAGE, and mass spectrometry", Molecular Biosystems, vol. 6, pp. 2256-2271, 2010.
Silvestri, E., F. Cioffi, D. Glinni, M. Ceccarelli, A. Lombardi, P. de Lange, A. Chambery, V. Severino, A. Lanni, F. Goglia, et al., "Pathways affected by 3,5-diiodo-L-thyronine in liver of high fat-fed rats: Evidence from two-dimensional electrophoresis, blue-native PAGE, and mass spectrometry", MOLECULAR BIOSYSTEMS, vol. 6, pp. 2256–2271, 2010.
Ciccarelli, M., R. Finelli, N. Rivera, G. Santulli, R. Izzo, N. De Luca, F. Rozza, M. Ceccarelli, S. M. Pagnotta, F. Uliano, et al., "The possible role of chromosome X variability in hypertensive familiarity", journal of human hypertension, vol. 31: Macmillan Publishers Limited, pp. 6, 02/2016, 2017.
Morganella, S., P. Zoppoli, and M. Ceccarelli, "Reverse Engineering of Regulatory Relations in Gene Networks by a Probabilistic Approach", Lecture Notes in Computer Science, vol. 5571, pp. 360-367, 2009.
Mall, R., L. Cerulo, L. Garofano, V. Frattini, K. Kunji, H. Bensmail, T. Sabedot, H. Noushmehr, A. Lasorella, A. Iavarone, et al., "RGBM: regularized gradient boosting machines for identification of the transcriptional regulators of discrete glioma subtypes", NUCLEIC ACIDS RESEARCH, 2018.
Ceccarelli, M., A. Farina, A. Petrosino, R. Vaccaro, and F. Vinelli, "SAR} Image Segmentation Using Textural Information and Neual Classifiers", L' Onde Electrique, vol. 74, no. 3, pp. 24-28, 1994.
Ceccarelli, M., A. d'Acierno, and A. Facchiano, "A Scale Space Approach for Unsupervised Feature Selection in Mass Spectra Classification for Ovarian Cancer Detection", BMC Bioinformatics, vol. S9, no. 10, 2009.
Ceccarelli, M., and A. Maratea, "Semi-supervised ıt Fuzzy c-Means} Clustering of Biological Data", Lecture Notes in Computer Science, vol. 3849, pp. 259-266, 2005.

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