Michele Ceccarelli

发表

Fully automated organ bud detection and segmentation for Laser Capture Microdissection applications

Vincenzo Paduano, Maria Teresa De Angelis, Geppino Falco, 2011, 2011 IEEE International Conference on Imaging Systems and Techniques.

Multi-feature adaptive classifiers for SAR image segmentation

Alfredo Petrosino, Michele Ceccarelli, M. Ceccarelli, 1997, Neurocomputing.

Rule induction for screening Thalassemia using machine learning techniques: C5.0 and CART

Michele Ceccarelli, Napat Harnpornchai, Nopasit Chakpitak, 2012 .

IRIS: a method for reverse engineering of regulatory relations in gene networks

Michele Ceccarelli, Sandro Morganella, Pietro Zoppoli, 2009, BMC Bioinformatics.

Assessing Clustering Reliability and Features Informativeness by Random Permutations

Michele Ceccarelli, Antonio Maratea, 2007, KES.

A negative selection heuristic to predict new transcriptional targets

Vincenzo Paduano, Michele Ceccarelli, Luigi Cerulo, 2013, BMC Bioinformatics.

SAR image segmentation using textural information and neural classifiers

Alfredo Petrosino, Alfonso Farina, Michele Ceccarelli, 1994 .

Advanced Computation of a Sparse Precision Matrix

Michele Ceccarelli, Halima Bensmail, Reda Rawi, 2015 .

Content-based Image Retrieval by a Fuzzy Scale-space Approach

Alfredo Petrosino, Michele Ceccarelli, Francesco Musacchia, 2006, Int. J. Pattern Recognit. Artif. Intell..

An unsupervised disease module identification technique in biological networks using novel quality metric based on connectivity, conductance and modularity

Ehsan Ullah, Raghvendra Mall, Michele Ceccarelli, 2018, F1000Research.

Circle detection based on orientation matching

Alfredo Petrosino, Giuliano Laccetti, Michele Ceccarelli, 2001, Proceedings 11th International Conference on Image Analysis and Processing.

A Guideline Engine For Knowledge Management in Clinical Decision Support Systems (CDSSs)

Michele Ceccarelli, Alessandro De Stasio, Antonio Donatiello, 2009, SEKE.

Automatic Detection and Surface Measurements of Micronucleus by a Computer Vision Approach

Domenico Grimaldi, Francesco Lamonaca, Michele Ceccarelli, 2010, IEEE Transactions on Instrumentation and Measurement.

Improving fuzzy clustering of biological data by metric learning with side information

Michele Ceccarelli, Antonio Maratea, M. Ceccarelli, 2008, Int. J. Approx. Reason..

Knowledge and data engineering: Fuzzy approach and genetic algorithms for clustering β-Thalassemia of knowledge based diagnosis decision support system

Michele Ceccarelli, Napat Harnpornchai, Nopasit Chakpitak, 2013 .

A deformable grid approach for Bayesian image registration

Michele Ceccarelli, Michele Donatiello, 2008 .

Identification of long non-coding transcripts with feature selection: a comparative study

Michele Ceccarelli, Luigi Cerulo, Giovanna M. M. Ventola, 2017, BMC Bioinformatics.

An adaptive refinement for community detection methods for disease module identification in biological networks using novel metric based on connectivity, conductance & modularity

Ehsan Ullah, Raghvendra Mall, Michele Ceccarelli, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

How Long Does a Bug Survive? An Empirical Study

Gerardo Canfora, Massimiliano Di Penta, Michele Ceccarelli, 2011, 2011 18th Working Conference on Reverse Engineering.

A computer vision approach to Micro-Nucleus automatic detection and surface measurements

Domenico Grimaldi, Francesco Lamonaca, Michele Ceccarelli, 2009, 2009 IEEE International Workshop on Medical Measurements and Applications.

Classification of Digital Terrain Models Through Fuzzy Clustering: An Application

Giuliano Antoniol, Michele Ceccarelli, Antonio Maratea, 2003, WILF.

Finding recurrent copy number alterations preserving within-sample homogeneity

Michele Ceccarelli, Sandro Morganella, Stefano Maria Pagnotta, 2011, Bioinform..

A Deformable Grid-Matching Approach for Microarray Images

Giuliano Antoniol, Michele Ceccarelli, 2006, IEEE Transactions on Image Processing.

Browsing Large Pedigrees to Study of the Isolated Populations in the "Parco Nazionale del Cilento e Vallo di Diano"

Giuliano Antoniol, Michele Ceccarelli, Vincenzo Fabio Rollo, 2003, WIRN.

An eclectic approach for change impact analysis

Gerardo Canfora, Massimiliano Di Penta, Michele Ceccarelli, 2010, 2010 ACM/IEEE 32nd International Conference on Software Engineering.

TimeDelay-ARACNE: Reverse engineering of gene networks from time-course data by an information theoretic approach

Michele Ceccarelli, Sandro Morganella, Pietro Zoppoli, 2010, BMC Bioinformatics.

Labeling Negative Examples in Supervised Learning of New Gene Regulatory Connections

Vincenzo Paduano, Michele Ceccarelli, Luigi Cerulo, 2010, CIBB.

Imaging Systems and Techniques 2011

Konstantina S. Nikita, Cesare Svelto, Dimitris K. Iakovidis, 2012 .

Virtual genetic coding and time series analysis for alternative splicing prediction in C. elegans

Michele Ceccarelli, Antonio Maratea, M. Ceccarelli, 2009, Artif. Intell. Medicine.

Segmentation of 3D microscopy data with an energy based interaction model

Carlo Sansone, Vincenzo Paduano, Michele Ceccarelli, 2009, 2009 IEEE International Workshop on Medical Measurements and Applications.

Dynamics and Associative Mapping in Additive Systems

Alfredo Petrosino, Roberto Tagliaferri, Michele Ceccarelli, 1990 .

Combining 2D and 3D Features to Classify Protein Mutants in HeLa Cells

Carlo Sansone, Vincenzo Paduano, Michele Ceccarelli, 2010, MCS.

De novo reconstruction of gene regulatory networks from time series data, an approach based on formal methods.

Antonella Santone, Michele Ceccarelli, Luigi Cerulo, 2014, Methods.

A Finite Markov Random Field approach to fast edge-preserving image recovery

Michele Ceccarelli, 2007, Image Vis. Comput..

Exploiting scientific workflows for large-scale gene expression data analysis

Ulf Leser, Michele Ceccarelli, Alessandro De Stasio, 2009, 2009 24th International Symposium on Computer and Information Sciences.

Detection of statistically significant network changes in complex biological networks

Raghvendra Mall, Michele Ceccarelli, Luigi Cerulo, 2016, bioRxiv.

Irish: A Hidden Markov Model to detect coded information islands in free text

Gerardo Canfora, Massimiliano Di Penta, Alberto Bacchelli, 2015, Sci. Comput. Program..

VEGAWES: variational segmentation on whole exome sequencing for copy number detection

Michele Ceccarelli, Sandro Morganella, Samreen Anjum, 2015, BMC Bioinformatics.

An Alternative Splicing Predictor in C.Elegans Based on Time Series Analysis

Michele Ceccarelli, Antonio Maratea, M. Ceccarelli, 2007, WILF.

A Fuzzy Extension of Some Classical Concordance Measures and an Efficient Algorithm for Their Computation

Michele Ceccarelli, Antonio Maratea, 2008, KES.

High performance missing data detection and interpolation for video compression and restoration applications

Alfredo Petrosino, Giuliano Laccetti, Michele Ceccarelli, 2003, Proceedings International Parallel and Distributed Processing Symposium.

Semi-supervised Fuzzy c-Means Clustering of Biological Data

Michele Ceccarelli, Antonio Maratea, 2005, WILF.

Competitive neural networks on message-passing parallel computers

Alfredo Petrosino, Roberto Vaccaro, Michele Ceccarelli, 1993, Concurr. Pract. Exp..

Microarray image addressing based on the Radon transform

Giuliano Antoniol, Alfredo Petrosino, Michele Ceccarelli, 2005, IEEE International Conference on Image Processing 2005.

Infer gene regulatory networks from time series data with formal methods

Antonella Santone, Michele Ceccarelli, Luigi Cerulo, 2013, 2013 IEEE International Conference on Bioinformatics and Biomedicine.

An Active Contour Approach To Automatic Detection Of The Intima-Media Thickness

Michele Ceccarelli, Sandro Morganella, Nicola De Luca, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Infer Gene Regulatory Networks from Time Series Data with Probabilistic Model Checking

Antonella Santone, Giuseppe De Ruvo, Michele Ceccarelli, 2015, 2015 IEEE/ACM 3rd FME Workshop on Formal Methods in Software Engineering.

TCGAbiolinksGUI: A graphical user interface to analyze GDC cancer molecular and clinical data

Gianluca Bontempi, Michele Ceccarelli, Catharina Olsen, 2017, bioRxiv.

Can Spurious States Be Useful?

Maria Marinaro, Michele Ceccarelli, Eduardo R. Caianiello, 1992, Complex Syst..

Microarray image gridding with stochastic search based approaches

Giuliano Antoniol, Michele Ceccarelli, G. Antoniol, 2007, Image Vis. Comput..

A Fuzzy Scale-Space Approach to Feature-Based Image Representation and Retrieval

Alfredo Petrosino, Michele Ceccarelli, Francesco Musacchia, 2005, BVAI.

Machine learning prediction of oncology drug targets based on protein and network properties

Michele Ceccarelli, Zoltán Dezső, 2020, BMC Bioinformatics.

Using multivariate time series and association rules to detect logical change coupling: An empirical study

Gerardo Canfora, Massimiliano Di Penta, Michele Ceccarelli, 2010, 2010 IEEE International Conference on Software Maintenance.

An Algorithm for Finding Gene Signatures Supervised by Survival Time Data

Michele Ceccarelli, Stefano Maria Pagnotta, M. Ceccarelli, 2011, KES.

A Markov random field approach to microarray image gridding

Giuliano Antoniol, Michele Ceccarelli, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Unsupervised texture discrimination based on rough fuzzy sets and parallel hierarchical clustering

Alfredo Petrosino, Michele Ceccarelli, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

VegaMC: a R/bioconductor package for fast downstream analysis of large array comparative genomic hybridization datasets

Michele Ceccarelli, Sandro Morganella, M. Ceccarelli, 2012, Bioinform..

An Information Theoretic Approach to Reverse Engineering of Regulatory Gene Networks from Time-Course Data

Michele Ceccarelli, Sandro Morganella, Pietro Zoppoli, 2009, CIBB.

A parallel fuzzy scale-space approach to the unsupervised texture separation

Alfredo Petrosino, Michele Ceccarelli, 2002, Pattern Recognit. Lett..

Parameter Estimation of Binomial Logistic Regression Based on Classical (Maximum Likelihood) and Bayesian (MCMC) Approach for Screening B-Thalassemia

Michele Ceccarelli, Napat Harnpornchai, Nopasit Chakpitak, 2012 .

Detection of long non–coding RNA homology, a comparative study on alignment and alignment–free metrics

Michele Ceccarelli, Luigi Cerulo, Giovanna M. M. Ventola, 2018, BMC Bioinformatics.

Selection of negative examples in learning gene regulatory networks

Michele Ceccarelli, Luigi Cerulo, M. Ceccarelli, 2009, 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshop.

The effeciency of data types for classification performance of Machine Learning Techniques for screening β-Thalassemia

Michele Ceccarelli, Patcharaporn Paokanta, Somdat Srichairatanakool, 2010, 2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010).

A scale-space approach to preattentive texture discrimination

Alfredo Petrosino, Michele Ceccarelli, 1999, Proceedings 10th International Conference on Image Analysis and Processing.

A knowledge creation innovation for Web-Knowledge-Base System using knowledge management, and data and knowledge engineering

Michele Ceccarelli, Napat Harnpornchai, Patcharaporn Paokanta, 2014, ECKM 2014.

A Generalized Regularization Network for Remote Sensing Data Classification

Alfredo Petrosino, Michele Ceccarelli, M. Ceccarelli, 1997 .

A Hidden Markov Model to detect coded information islands in free text

Gerardo Canfora, Massimiliano Di Penta, Michele Ceccarelli, 2013, 2013 IEEE 13th International Working Conference on Source Code Analysis and Manipulation (SCAM).

Image Registration using Non-Linear Diffusion

Maurizio di Bisceglie, Michele Ceccarelli, Carmela Galdi, 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

KON^3: A Clinical Decision Support System, in Oncology Environment, Based on Knowledge Management

Michele Ceccarelli, Antonio Donatiello, Dante Vitale, 2008, 2008 20th IEEE International Conference on Tools with Artificial Intelligence.

The orientation matching approach to circular object detection

Alfredo Petrosino, Michele Ceccarelli, M. Ceccarelli, 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

Concordance indices for comparing fuzzy, possibilistic, rough and grey partitions

Michele Ceccarelli, Antonio Maratea, 2009, Int. J. Knowl. Eng. Soft Data Paradigms.

VEGA: variational segmentation for copy number detection

Michele Ceccarelli, Luigi Cerulo, Sandro Morganella, 2010, Bioinform..

Learning gene regulatory networks from only positive and unlabeled data

Charles Elkan, Michele Ceccarelli, Luigi Cerulo, 2010, BMC Bioinformatics.