Can Spurious States Be Useful? - Eduardo R. Caianiello; Michele Ceccarelli; Maria Marinaro (Complex Syst., 1992)

Competitive neural networks on message-passing parallel computers. - Michele Ceccarelli; Alfredo Petrosino; Roberto Vaccaro (Concurr. Pract. Exp., 1993)

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

Multi-feature adaptive classifiers for SAR image segmentation. - Michele Ceccarelli; Alfredo Petrosino (Neurocomputing, 1997)

A Scale-Space Approach to Pre-Attentive Texture Discrimination. - Alfredo Petrosino; Michele Ceccarelli (ICIAP, 1999)

Unsupervised Texture Discrimination Based on Rough Fuzzy Sets and Parallel Hierarchical Clustering. - Alfredo Petrosino; Michele Ceccarelli (ICPR, 2000)

Circle Detection Based on Orientation Matching. - Michele Ceccarelli; Alfredo Petrosino; Giuliano Laccetti (ICIAP, 2001)

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

High performance motion analysis for video restoration. - Michele Ceccarelli; Alfredo Petrosino (DSP, 2002)

A parallel fuzzy scale-space approach to the unsupervised texture separation. - Michele Ceccarelli; Alfredo Petrosino (Pattern Recognit. Lett., 2002)

High Performance Missing Data Detection and Interpolation for Video Compression and Restoration Applications. - Michele Ceccarelli; Giuliano Laccetti; Alfredo Petrosino (IPDPS, 2003)

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

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; Wanda Longo; Teresa Nutile; Marina Ciullo; Enza Colonna; Antonietta Calabria; Maria Astore; Anna Lembo; Paola Toriello; M. Grazia Persico (WIRN, 2003)

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

Blotch removal in degraded digital video using independent component analysis. - Michele Ceccarelli; Alfredo Petrosino (IJCNN, 2004)

An ICA Approach to Unsupervised Change Detection in Multispectral Images. - Giuliano Antoniol; Michele Ceccarelli; P. Petrillo; Alfredo Petrosino (WIRN, 2004)

A Fuzzy Scale-Space Approach to Feature-Based Image Representation and Retrieval. - Michele Ceccarelli; Francesco Musacchia; Alfredo Petrosino (BVAI, 2005)

Fast Edge Preserving Picture Recovery by Finite Markov Random Fields. - Michele Ceccarelli (ICIAP, 2005)

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

Semi-supervised Fuzzy c-Means Clustering of Biological Data. - Michele Ceccarelli; Antonio Maratea (WILF, 2005)

An Active Contour Approach To Automatic Detection Of The Intima-Media Thickness. - Michele Ceccarelli; Nicola De Luca; Sandro Morganella (ICASSP (2), 2006)

Computational uncertainty analysis of groundwater recharge in catchment. - Nazzareno Diodato; Michele Ceccarelli (Ecol. Informatics, 2006)

Content-based Image Retrieval by a Fuzzy Scale-space Approach. - Michele Ceccarelli; Francesco Musacchia; Alfredo Petrosino (Int. J. Pattern Recognit. Artif. Intell., 2006)

A Deformable Grid-Matching Approach for Microarray Images. - Michele Ceccarelli; Giuliano Antoniol (IEEE Trans. Image Process., 2006)

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

An Alternative Splicing Predictor in C.Elegans Based on Time Series Analysis. - Michele Ceccarelli; Antonio Maratea (WILF, 2007)

Microarray image gridding with stochastic search based approaches. - Giuliano Antoniol; Michele Ceccarelli (Image Vis. Comput., 2007)

A Finite Markov Random Field approach to fast edge-preserving image recovery. - Michele Ceccarelli (Image Vis. Comput., 2007)

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

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

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

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

Improving fuzzy clustering of biological data by metric learning with side information. - Michele Ceccarelli; Antonio Maratea (Int. J. Approx. Reason., 2008)

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

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

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

Reverse Engineering of Regulatory Relations in Gene Networks by a Probabilistic Approach. - Michele Ceccarelli; Sandro Morganella; Pietro Zoppoli (WILF, 2009)

Virtual genetic coding and time series analysis for alternative splicing prediction in C. elegans. - Michele Ceccarelli; Antonio Maratea (Artif. Intell. Medicine, 2009)

A scale space approach for unsupervised feature selection in mass spectra classification for ovarian cancer detection. - Michele Ceccarelli; Antonio d'Acierno; Angelo M. Facchiano (BMC Bioinform., 2009)

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

Concordance indices for comparing fuzzy, possibilistic, rough and grey partitions. - Michele Ceccarelli; Antonio Maratea (Int. J. Knowl. Eng. Soft Data Paradigms, 2009)

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

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

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

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

VEGA: variational segmentation for copy number detection. - Sandro Morganella; Luigi Cerulo; Giuseppe Viglietto; Michele Ceccarelli (Bioinform., 2010)

Learning gene regulatory networks from only positive and unlabeled data. - Luigi Cerulo; Charles Elkan; Michele Ceccarelli (BMC Bioinform., 2010)

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

Data Mining in Cancer Research [Application Notes]. - Paulo J. G. Lisboa; Alfredo Vellido; Roberto Tagliaferri; Francesco Napolitano; Michele Ceccarelli; José David Martín-Guerrero; Elia Biganzoli (IEEE Comput. Intell. Mag., 2010)

Automatic Detection and Surface Measurements of Micronucleus by a Computer Vision Approach. - Michele Ceccarelli; Domenico Speranza; Domenico Grimaldi; Francesco Lamonaca (IEEE Trans. Instrum. Meas., 2010)

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

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

Finding recurrent copy number alterations preserving within-sample homogeneity. - Sandro Morganella; Stefano Maria Pagnotta; Michele Ceccarelli (Bioinform., 2011)

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

Infer gene regulatory networks from time series data with formal methods. - Michele Ceccarelli; Luigi Cerulo; Antonella Santone (BIBM, 2013)

An Approach to Identify miRNA Associated with Cancer Altered Pathways. - Giovanna Maria Ventola; Antonio Colaprico; Fulvio D'Angelo; Vittorio Colantuoni; Giuseppe Viglietto; Luigi Cerulo; Michele Ceccarelli (ICIAP Workshops, 2013)

A Hidden Markov Model to detect coded information islands in free text. - Luigi Cerulo; Michele Ceccarelli; Massimiliano Di Penta; Gerardo Canfora (SCAM, 2013)

A negative selection heuristic to predict new transcriptional targets. - Luigi Cerulo; Vincenzo Paduano; Pietro Zoppoli; Michele Ceccarelli (BMC Bioinform., 2013)

Infer Gene Regulatory Networks from Time Series Data with Probabilistic Model Checking. - Michele Ceccarelli; Luigi Cerulo; Giuseppe De Ruvo; Vittoria Nardone; Antonella Santone (FormaliSE@ICSE, 2015)

VEGAWES: variational segmentation on whole exome sequencing for copy number detection. - Samreen Anjum; Sandro Morganella; Fulvio D'Angelo; Antonio Iavarone; Michele Ceccarelli (BMC Bioinform., 2015)

Irish: A Hidden Markov Model to detect coded information islands in free text. - Luigi Cerulo; Massimiliano Di Penta; Alberto Bacchelli; Michele Ceccarelli; Gerardo Canfora (Sci. Comput. Program., 2015)

TCGA Workflow: Analyze cancer genomics and epigenomics data using Bioconductor packages. - Tiago Chedraoui Silva; Antonio Colaprico; Catharina Olsen; Fulvio D'Angelo; Gianluca Bontempi; Michele Ceccarelli; Houtan Noushmehr (F1000Research, 2016)

Differential Community Detection in Paired Biological Networks. - Raghvendra Mall; Ehsan Ullah; Khalid Kunji; Fulvio D'Angelo; Halima Bensmail; Michele Ceccarelli (BCB, 2017)

An adaptive refinement for community detection methods for disease module identification in biological networks using novel metric based on connectivity, conductance & modularity. - Raghvendra Mall; Ehsan Ullah; Khalid Kunji; Halima Bensmail; Michele Ceccarelli (BIBM, 2017)

Identification of long non-coding transcripts with feature selection: a comparative study. - Giovanna M. M. Ventola; Teresa Maria Rosaria Noviello; Salvatore D'Aniello; Antonietta Spagnuolo; Michele Ceccarelli; Luigi Cerulo (BMC Bioinform., 2017)

Detection of statistically significant network changes in complex biological networks. - Raghvendra Mall; Luigi Cerulo; Halima Bensmail; Antonio Iavarone; Michele Ceccarelli (BMC Syst. Biol., 2017)

Detection of long non-coding RNA homology, a comparative study on alignment and alignment-free metrics. - Teresa Maria Rosaria Noviello; Antonella Di Liddo; Giovanna M. M. Ventola; Antonietta Spagnuolo; Salvatore D'Aniello; Michele Ceccarelli; Luigi Cerulo (BMC Bioinform., 2018)

An unsupervised disease module identification technique in biological networks using novel quality metric based on connectivity, conductance and modularity. - Raghvendra Mall; Ehsan Ullah; Khalid Kunji; Michele Ceccarelli; Halima Bensmail (F1000Research, 2018)

TCGAbiolinksGUI: A graphical user interface to analyze cancer molecular and clinical data. - Tiago Chedraoui Silva; Antonio Colaprico; Catharina Olsen; Tathiane M. Malta; Gianluca Bontempi; Michele Ceccarelli; Benjamin P. Berman; Houtan Noushmehr (F1000Research, 2018)

Machine learning prediction of oncology drug targets based on protein and network properties. - Zoltán Dezsö; Michele Ceccarelli (BMC Bioinform., 2020)

Deep learning predicts short non-coding RNA functions from only raw sequence data. - Teresa Maria Rosaria Noviello; Francesco Ceccarelli; Michele Ceccarelli; Luigi Cerulo (PLoS Comput. Biol., 2020)

Preface: In memory of Alfredo Petrosino. - Michele Ceccarelli (Pattern Recognit. Lett., 2020)

A review of COVID-19 biomarkers and drug targets: resources and tools. - Francesca P. Caruso; Giovanni Scala; Luigi Cerulo; Michele Ceccarelli (Briefings Bioinform., 2021)

Network-based identification of key master regulators associated with an immune-silent cancer phenotype. - Raghvendra Mall; Mohamad Saad 001; Jessica Roelands; Darawan Rinchai; Khalid Kunji; Hossam Almeer; Wouter Hendrickx; Francesco M. Marincola; Michele Ceccarelli; Davide Bedognetti (Briefings Bioinform., 2021)

Adaptive one-class Gaussian processes allow accurate prioritization of oncology drug targets. - Antonio de Falco; Zoltán Dezsö; Francesco Ceccarelli; Luigi Cerulo; Angelo Ciaramella; Michele Ceccarelli (Bioinform., 2021)

Structural Model for Recruitment of RIT1 to the LZTR1 E3 Ligase: Evidences from an Integrated Computational Approach. - Antonella Paladino; Fulvio D'Angelo; Teresa Maria Rosaria Noviello; Antonio Iavarone; Michele Ceccarelli (J. Chem. Inf. Model., 2021)

A Survey of Steganography Tools at Layers 2-4 and HTTP. - Stefano Bistarelli; Michele Ceccarelli; Chiara Luchini; Ivan Mercanti; Francesco Santini 001 (ARES, 2023)

A Preliminary Study on the Creation of a Covert Channel with HTTP Headers. - Stefano Bistarelli; Michele Ceccarelli; Chiara Luchini; Ivan Mercanti; Francesco Santini 001 (ITASEC, 2024)

Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm. - Lujia Wang 002; Hairong Wang; Fulvio D'Angelo; Lee Curtin; Christopher P. Sereduk; Gustavo De Leon; Kyle W. Singleton; Javier Urcuyo; Andrea Hawkins-Daarud; Pamela R. Jackson; Chandan Krishna; Richard S. Zimmerman; et al. (CoRR, 2024)