Michele Ceccarelli

Sandro Morganella, Michele Ceccarelli: VegaMC: a R/bioconductor package for fast downstream analysis of large array comparative genomic hybridization datasets. Bioinformatics 28(19): 2512-2514 (2012)

Sandro Morganella, Stefano Maria Pagnotta, Michele Ceccarelli: Finding recurrent copy number alterations preserving within-sample homogeneity. Bioinformatics 27(21): 2949-2956 (2011)

Stefano Maria Pagnotta, Michele Ceccarelli: An Algorithm for Finding Gene Signatures Supervised by Survival Time Data. KES (1) 2011: 568-578

Gerardo Canfora, Michele Ceccarelli, Luigi Cerulo, Massimiliano Di Penta: How Long Does a Bug Survive? An Empirical Study. WCRE 2011: 191-200

Sandro Morganella, Luigi Cerulo, Giuseppe Viglietto, Michele Ceccarelli: VEGA: variational segmentation for copy number detection. Bioinformatics 26(24): 3020-3027 (2010)

Pietro Zoppoli, Sandro Morganella, Michele Ceccarelli: TimeDelay-ARACNE: Reverse engineering of gene networks from time-course data by an information theoretic approach. BMC Bioinformatics 11: 154 (2010)

Luigi Cerulo, Charles Elkan, Michele Ceccarelli: Learning gene regulatory networks from only positive and unlabeled data. BMC Bioinformatics 11: 228 (2010)

Paulo J. G. Lisboa, Alfredo Vellido, Roberto Tagliaferri, Francesco Napolitano, Michele Ceccarelli, José David Martín-Guerrero, Elia Biganzoli: Data Mining in Cancer Research [Application Notes]. IEEE Comp. Int. Mag. 5(1): 14-18 (2010)

Michele Ceccarelli, Domenico Speranza, Domenico Grimaldi, Francesco Lamonaca: Automatic Detection and Surface Measurements of Micronucleus by a Computer Vision Approach. IEEE T. Instrumentation and Measurement 59(9): 2383-2390 (2010)

Luigi Cerulo, Vincenzo Paduano, Pietro Zoppoli, Michele Ceccarelli: Labeling Negative Examples in Supervised Learning of New Gene Regulatory Connections. CIBB 2010: 159-173

Michele Ceccarelli, Luigi Cerulo, Gerardo Canfora, Massimiliano Di Penta: An eclectic approach for change impact analysis. ICSE (2) 2010: 163-166

Gerardo Canfora, Michele Ceccarelli, Luigi Cerulo, Massimiliano Di Penta: Using multivariate time series and association rules to detect logical change coupling: An empirical study. ICSM 2010: 1-10

Carlo Sansone, Vincenzo Paduano, Michele Ceccarelli: Combining 2D and 3D Features to Classify Protein Mutants in HeLa Cells. MCS 2010: 284-293

Michele Ceccarelli, Antonio Maratea: Virtual genetic coding and time series analysis for alternative splicing prediction in C. elegans. Artificial Intelligence in Medicine 45(2-3): 109-115 (2009)

Michele Ceccarelli, Antonio d'Acierno, Angelo M. Facchiano: A scale space approach for unsupervised feature selection in mass spectra classification for ovarian cancer detection. BMC Bioinformatics 10(S-12): 9 (2009)

Sandro Morganella, Pietro Zoppoli, Michele Ceccarelli: IRIS: a method for reverse engineering of regulatory relations in gene networks. BMC Bioinformatics 10: 444 (2009)

Michele Ceccarelli, Antonio Maratea: Concordance indices for comparing fuzzy, possibilistic, rough and grey partitions. IJKESDP 1(4): 331-344 (2009)

Pietro Zoppoli, Sandro Morganella, Michele Ceccarelli: An Information Theoretic Approach to Reverse Engineering of Regulatory Gene Networks from Time-Course Data. CIBB 2009: 97-111

Alessandro De Stasio, Marcus Ertelt, Wolfgang Kemmner, Ulf Leser, Michele Ceccarelli: Exploiting scientific workflows for large-scale gene expression data analysis. ISCIS 2009: 448-453

Michele Ceccarelli, Alessandro De Stasio, Antonio Donatiello, Dante Vitale: A Guideline Engine For Knowledge Management in Clinical Decision Support Systems (CDSSs). SEKE 2009: 252-257

Michele Ceccarelli, Sandro Morganella, Pietro Zoppoli: Reverse Engineering of Regulatory Relations in Gene Networks by a Probabilistic Approach. WILF 2009: 360-367

Michele Ceccarelli, Antonio Maratea: Improving fuzzy clustering of biological data by metric learning with side information. Int. J. Approx. Reasoning 47(1): 45-57 (2008)

Michele Ceccarelli, Antonio d'Acierno, Angelo M. Facchiano: A Machine Learning Approach to Mass Spectra Classification with Unsupervised Feature Selection. CIBB 2008: 242-252

Michele Ceccarelli, Antonio Donatiello, Dante Vitale: KON^3: A Clinical Decision Support System, in Oncology Environment, Based on Knowledge Management. ICTAI (2) 2008: 206-210

Michele Ceccarelli, Maurizio di Bisceglie, Carmela Galdi, Generoso Giangregorio, Silvia Liberata Ullo: Image Registration using Non-Linear Diffusion. IGARSS (5) 2008: 220-223

Michele Ceccarelli, Antonio Maratea: A Fuzzy Extension of Some Classical Concordance Measures and an Efficient Algorithm for Their Computation. KES (3) 2008: 755-763

Giuliano Antoniol, Michele Ceccarelli: Microarray image gridding with stochastic search based approaches. Image Vision Comput. 25(2): 155-163 (2007)

Michele Ceccarelli: A Finite Markov Random Field approach to fast edge-preserving image recovery. Image Vision Comput. 25(6): 792-804 (2007)

Michele Ceccarelli, Antonio Maratea: Assessing Clustering Reliability and Features Informativeness by Random Permutations. KES (3) 2007: 878-885

Michele Ceccarelli, Antonio Maratea: An Alternative Splicing Predictor in C.Elegans Based on Time Series Analysis. WILF 2007: 588-595

Nazzareno Diodato, Michele Ceccarelli: Computational uncertainty analysis of groundwater recharge in catchment. Ecological Informatics 1(4): 377-389 (2006)

Michele Ceccarelli, Francesco Musacchia, Alfredo Petrosino: Content-based Image Retrieval by a Fuzzy Scale-space Approach. IJPRAI 20(6): 849-868 (2006)

Michele Ceccarelli, Giuliano Antoniol: A Deformable Grid-Matching Approach for Microarray Images. IEEE Transactions on Image Processing 15(10): 3178-3188 (2006)

Michele Ceccarelli, Francesco Musacchia, Alfredo Petrosino: A Fuzzy Scale-Space Approach to Feature-Based Image Representation and Retrieval. BVAI 2005: 377-385

Michele Ceccarelli: Fast Edge Preserving Picture Recovery by Finite Markov Random Fields. ICIAP 2005: 277-286

Giuliano Antoniol, Michele Ceccarelli, Alfredo Petrosino: Microarray image addressing based on the Radon transform. ICIP (1) 2005: 13-16

Michele Ceccarelli, Antonio Maratea: Semi-supervised Fuzzy c-Means Clustering of Biological Data. WILF 2005: 259-266

Giuliano Antoniol, Michele Ceccarelli: A Markov Random Field Approach to Microarray Image Gridding. ICPR (3) 2004: 550-553

Giuliano Antoniol, Michele Ceccarelli, P. Petrillo, Alfredo Petrosino: An ICA Approach to Unsupervised Change Detection in Multispectral Images. WIRN 2004: 299-311

Michele Ceccarelli, Giuliano Laccetti, Alfredo Petrosino: High Performance Missing Data Detection and Interpolation for Video Compression and Restoration Applications. IPDPS 2003: 233

Giuliano Antoniol, Michele Ceccarelli, Antonio Maratea, F. Russo: Classification of Digital Terrain Models Through Fuzzy Clustering: An Application. WILF 2003: 174-182

Giuliano Antoniol, Michele Ceccarelli, Vincenzo Fabio Rollo, Wanda Longo, Teresa Nutile, Marina Ciullo, Enza Colonna, Antonietta Calabria, Maria Astore, Anna Lembo, Paola Toriello, M. Grazia Persico: Browsing Large Pedigrees to Study of the Isolated Populations in the "Parco Nazionale del Cilento e Vallo di Diano". WIRN 2003: 258-268

Michele Ceccarelli, Alfredo Petrosino: A parallel fuzzy scale-space approach to the unsupervised texture separation. Pattern Recognition Letters 23(5): 557-567 (2002)

Michele Ceccarelli, Alfredo Petrosino, Giuliano Laccetti: Circle Detection Based on Orientation Matching. ICIAP 2001: 119-124

Michele Ceccarelli, Alfredo Petrosino: The orientation matching approach to circular object detection. ICIP (3) 2001: 712-715

Alfredo Petrosino, Michele Ceccarelli: Unsupervised Texture Discrimination Based on Rough Fuzzy Sets and Parallel Hierarchical Clustering. ICPR 2000: 7100-7103

Alfredo Petrosino, Michele Ceccarelli: A Scale-Space Approach to Pre-Attentive Texture Discrimination. ICIAP 1999: 162-167

Michele Ceccarelli, Alfredo Petrosino: Multi-feature adaptive classifiers for SAR image segmentation. Neurocomputing 14(4): 345-363 (1997)

Michele Ceccarelli, Joël T. Hounsou: Sequence recognition with radial basis function networks: experiments with spoken digits. Neurocomputing 11(1): 75-88 (1996)

Michele Ceccarelli, Alfredo Petrosino, Roberto Vaccaro: Competitive neural networks on message-passing parallel computers. Concurrency - Practice and Experience 5(6): 449-470 (1993)