skip to content
  • it
DEL SANNIO   Benevento

Pubblicazioni di ateneo

Found 63 results
[ Author(Desc)] Titolo Tipo Anno
Filters: Author is Michele Ceccarelli  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
Ceccarelli, M., A. Colaprico, L. De Vito, S.. Marotta, and M. Piscitelli, "A semi-automatic measurement system for the swallowing analysis in videofluoroscopy", Proceedings of 2011 IEEE International Symposium on Medical Measurements and Applications (MeMeA), pp. 125–130, 30-31 May,, 2011.
Ceccarelli, M., L. Cerulo, G. Canfora, and M. Di Penta, "An eclectic approach for change impact analysis", Proceedings - International Conference on Software Engineering, vol. 2, 2010.
Ceccarelli, M., D. Grimaldi, F.. Lamonaca, and A. Speranza, "Automatic detection and surface measurements of Micro-Nucleus by a Computer Vision Approach", IEEE Transactions on Instrumentations and Measurements, vol. 59, no. 9, pp. 2383-2390, 2010.
Ceccarelli, M., and J. Michael Carstensen, "Bayesian Grid Matching for 2D Gel Registration", IEEE Imaging Systems and Techniques 2010: IEEE, pp. 279-283, 2010.
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, "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, "Virtual Genetic Coding and Time Series Analysis for Alternative Splicing Prediction in {\em C.Elegans", Artificial Intelligence in Medicine, vol. 45, no. 3: Elsevier, Amsterdam, The Netherlands, pp. 109-115, 2009.
Ceccarelli, M., D. Grimaldi, F.. Lamonaca, and A. Speranza, "A Computer Vision Approach to Micro-Nucleous automatic detection and surface measurement", IEEE Medical Measurements 2009: IEEE, pp. 166-171, 2009.
Ceccarelli, M., V. Paduano, and C. Sansone, "Segmentation of 3D Microscopy Data with an Energy Based Interaction Model", IEEE Medical Measurements 2009: IEEE Press, pp. 223-228, 2009.
Ceccarelli, M., A. Donatiello, D. Vitale, and A. " De Stasio", "A Guideline Engine For Knowledge Management in Clinical Decision Support Systems {(CDSSs)", Software Engineering and Knowledge Engineering 2009: SEKE, pp. 252-257, 2009.
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.
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. 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., and M. Donatiello, "A Deformable Grid Approach for Bayesian Image Registration", Signal Processing, Pattern Recognition, and Applications 2008: IASTED, 2008.
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.
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 G. Antoniol, "A Deformable Grid-Matching Approach for Microarray Images", IEEE Transactions on Image Processing, vol. 15, no. 10, pp. 3178-3188, 2006.
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.
Ceccarelli, M., V. De Simone, and A. Murli, "Well-posed anisotropic diffusion for image denoising", IEE Proceedings Vision, Image and Signal Processing, vol. 149, no. 4, pp. 244-252, 2002.
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.
Ceccarelli, M., and A. Petrosino, "Multifeature Adaptive Classifiers for SAR Image Segmentatio", Neurocomputing, vol. 17, pp. 345-363, 1997.
Ceccarelli, M., and J. T. Hounsou, "Sequence Recognition with Radial Basis Function Networks", Neurocomputing, vol. 11, pp. 75-88, 1996.
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. 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., and A. Maratea, "Assessing Clustering Reliability and Features Informativeness by Random Permutations", Lecture Notes in Computer Science, vol. 4694, pp. 878-885, 2007.