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Pubblicazioni di ateneo

Found 136 results
Author Titolo [ Tipo(Desc)] Anno
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Journal Article
Antoniol, G., M. Ceccarelli, A. Maratea, and F. Russo, "Classification of Digital Terrain Models Through Fuzzy Clustering: An Application", Lecture Notes in Computer Science, vol. 2955, pp. 174-182, 2006.
Zhang, J., F. P. Caruso, J. K. Sa, S. Justesen, D-H. Nam, P. Sims, M. Ceccarelli, A. Lasorella, and A. Iavarone, "The combination of neoantigen quality and T lymphocyte infiltrates identifies glioblastomas with the longest survival", Communications biology, vol. 2, no. 1: Nature Publishing Group, pp. 135, 2019.
Sansone, C., V. Paduano, and M. Ceccarelli, "Combining 2D and 3D features to classify protein mutants in HeLa cells", Lecture Notes on Computer Science, vol. 5997, pp. 284-293, 2010.
Diodato, N., and M. Ceccarelli, "Combining Satellite and Geospatial Technologies for Rainstorms Hazard Soft Mapping", The Open Environmental Engineering Journal,, vol. 2, pp. 96–103, 2009.
Manfrin, E., A. Remo, M. Pancione, C. Cannizzaro, F. Falsirollo, G. Paolo Pollini, F. Pellini, A. Molino, M. Brunelli, R. Vendraminelli, et al., "Comparison Between Invasive Breast Cancer With Extensive Peritumoral Vascular Invasion and Inflammatory Breast Carcinoma", American Journal of Clinical Pathology, vol. 142, no. 3: The Oxford University Press, pp. 299–306, 2014.
Ceccarelli, M., A. Petrosino, and R. Vaccaro, "Competitive Neural Networks on Message Passing Parallel Computers", Concurrency: Practice and Experience, vol. 5, no. 6, pp. 449-470, 1993.
Ceccarelli, M., F. Musacchia, and A. Petrosino, "Content-based Image Retrieval by a Fuzzy Scale-space Approach", International Journal Pattern Recognition and Artificial Intelligence, vol. 20, pp. 849-868, 2006.
Porreca, I., F. D'Angelo, D. Gentilcore, E. Carchia, A. Amoresano, A. Affuso, M. Ceccarelli, P. De Luca, L. Esposito, F.. M. Guadagno, et al., "Cross-species toxicogenomic analyses and phenotypic anchoring in response to groundwater low-level pollution", BMC GENOMICS, vol. 15, 2014.
Lisboa, P., A. Vellido, R. Tagliaferri, F. Napolitano, M. Ceccarelli, J. Martin-Guerrero, and E. Biganzoli, "Data Mining in Cancer Research", IEEE Computational Intelligence Magazine, vol. 5, no. 1, pp. 14-18, 2010.
Ceccarelli, M., L. Cerulo, and A. Santone, "De novo reconstruction of gene regulatory networks from time series data an approach based on formal methods", METHODS, vol. 69, pp. 298–305, 2014.
Diodato, N., M. Ceccarelli, and G. Bellocchi, "Decadal and century-long changes in the reconstruction of erosive rainfall anomalies in a Mediterranean fluvial basin", Earth Surface Processes and Landforms, vol. 33, no. 13, pp. 2078-2093, 2008.
Ceccarelli, M., and G. Antoniol, "A Deformable Grid-Matching Approach for Microarray Images", IEEE Transactions on Image Processing, vol. 15, no. 10, pp. 3178-3188, 2006.
Noviello, T. M. R., A. Di Liddo, G. M. Ventola, A. Spagnuolo, S. D'Aniello, M. Ceccarelli, and L. Cerulo, "Detection of long non-coding RNA homology, a comparative study on alignment and alignment-free metrics", BMC BIOINFORMATICS, vol. 19, 2018.
Diodato, N., and M. Ceccarelli, "Environinformatics in ecological risk assessment of agroecosystems pollutant leaching", Stochastic Environmental Research and Risk Assessment, vol. 19, no. 4, pp. 292-300, 2005.
Malta, T., T. Sabedot, M. Ceccarelli, F. Barthel, S. M. Pagnotta, A. Iavarone, R. Verhaak, TCGA. L. G. G. - G. B. M. wo group, and H. Noushmehr, "EPIG-14EPIGENOMIC (DNA METHYLATION AND EXPRESSION) SIGNATURES DEFINE SUBSETS OF BOTH IDHmut AND IDHwt GLIOMA WITH DISTINCT CLINICAL OUTCOMES", Neuro-Oncology, vol. 17, no. suppl 5, pp. v89, 2015.
Ceccarelli, M., "Fast Edge Preserving Picture Recovery by Finite Markov Random Fields", Lecture Notes in Computer Science, vol. 3617, pp. 277-286, 2005.
Ceccarelli, M., "A Finite Markov Random Field approach to fast edge-preserving image recovery", Image and Vision Computing, vol. 25, no. 6, pp. 792-804, 2007.
Ceccarelli, M., and A. Maratea, "A fuzzy extension of some classical concordance measures and an efficient algorithm for their computation", International Journal on Knowledge Engineering and Soft Data Paradigms, vol. 1, no. 4, pp. 331-334, 2009.
Ceccarelli, M., and A. Maratea, "A fuzzy extension of some Concordance measures and an efficient algorithm for their computation", Lecture Notes in Computer Sciece, vol. 5179, pp. 755-763, 2008.
Ceccarelli, M., F. Musacchia, and A. Petrosino, "A Fuzzy Scale-Space Approach to Feature-Based Image Representation and Retrieval", Lecture Notes in Computer Science, vol. 3704, pp. 377-385, 2005.
Barthel, F. P., M. Ceccarelli, T. M. Malta, T. S. Sabedot, S. R. Salama, S. M. Pagnotta, B. A. Murray, O. Morozova, Y. Newton, D. J. Brat, et al., "GENO-06A PAN-GLIOMA CHARACTERIZATION OF GENOMIC, EPIGENOMIC AND TRANSCRIPTOMIC ACTIVITIES REVEALS NOVEL RELATIONSHIPS BETWEEN HISTOLOGICAL SUBTYPES AND MOLECULAR SIGNATURES", Neuro-Oncology, vol. 17, no. suppl 5, pp. v92, 2015.
Diodato, N., and M. Ceccarelli, "Geographical Information Systems and Geostatistics for Modelling Radioactively Contaminated Land Areas", Natural Hazards, vol. 35, no. 2, pp. 229-242, 2005.
Diodato, N., M. Ceccarelli, and G. Bellocchi, "GIS}-aided evaluation of evapotranspiration at multiple spatial and temporal climate patterns using geoindicators", Ecological Indicators, vol. 10, no. 5, pp. 1009-1016, 2010.
Murli, A., L. D'Amore, L. Carracciuolo, M. Ceccarelli, and L. Antonelli, "High performance edge-preserving regularization in 3D SPECT imaging", Parallel Computing, vol. 34, no. 2, pp. 115-132, 2008.
Hendrickx, W.., I.. Simeone, S.. Anjum, Y.. Mokrab, F.. Bertucci, P.. Finetti, G.. Curigliano, B.. Seliger, L. Cerulo, S.. Tomei, et al., "Identification of genetic determinants of breast cancer immune phenotypes by integrative genome-scale analysis", ONCOIMMUNOLOGY, vol. 6, 2017.