A parallel logic system on a multicomputer architecture. - Mario Cannataro; Giandomenico Spezzano; Domenico Talia (Future Gener. Comput. Syst., 1991)

Dynamic Process Scheduling in a Parallel Logic Machine. - Mario Cannataro; Yaroslav D. Sergeyev; Giandomenico Spezzano; Domenico Talia (IJCSLP Workshop on Concurrent and Parallel Implementations, 1992)

Design, implementation and evaluation of a deadlock-free routing algorithm for concurrent computers. - Mario Cannataro; Giandomenico Spezzano; Domenico Talia; E. Gallizzi (Concurr. Pract. Exp., 1992)

High level communication mechanisms for distributed parallel computers from an adaptive message routing. - Mario Cannataro; Giandomenico Spezzano; Domenico Talia (Future Gener. Comput. Syst., 1992)

A model of efficient asynchronous parallel algorithms on multicomputer systems. - Domenico Conforti; Lucio Grandinetti; Roberto Musmanno; Mario Cannataro; Giandomenico Spezzano; Domenico Talia (Parallel Comput., 1992)

A Dynamic Load Balancing Strategy for Massively Parallel Computers. - Mario Cannataro; Yaroslav D. Sergeyev; Giandomenico Spezzano; Domenico Talia (PARLE, 1993)

Un'esperienza di Gestione di Copie in un Ambiente di Basi di Dati Distribuite ed Eterogenee. - Mario Cannataro; A. Limongiello; Tommaso Mostardi; Antonella Pelaggi; Carlo Siciliano (SEBD, 1995)

A Parallel Cellular Automata Environment on Multicomputers for Computational Science. - Mario Cannataro; Salvatore Di Gregorio; Rocco Rongo; William Spataro; Giandomenico Spezzano; Domenico Talia (Parallel Comput., 1995)

An Object-Based Architecture for WAP -Compliant Applications. - Mario Cannataro; Domenico Pascuzzi (DEXA Workshop, 2000)

Clusters and Grids for Distributed and Parallel Knowledge Discovery. - Mario Cannataro (HPCN Europe, 2000)

An XML-Based Architecture for Adaptive Web Hypermedia Systems Using a Probabilistic User Model. - Mario Cannataro; Andrea Pugliese 001 (IDEAS, 2000)

Transmitting Datacubes over Congested Networks. - Andres Albanese; Mario Cannataro; Pasquale Rullo; Domenico Saccà (ITCC, 2000)

A Multidimensional Approach for Modelling and Supporting Adaptive Hypermedia Systems. - Mario Cannataro; Alfredo Cuzzocrea; Andrea Pugliese 001 (EC-Web, 2001)

KNOWLEDGE GRID: High Performance Knowledge Discovery on the Grid. - Mario Cannataro; Domenico Talia; Paolo Trunfio (GRID, 2001)

A Component-based Architecture for the Development and Deployment of WAP-Compliant Transactional Services. - Mario Cannataro; Domenico Pascuzzi (HICSS, 2001)

A Probabilistic Approach to Model Adaptive Hypermedia Systems. - Mario Cannataro; Alfredo Cuzzocrea; Andrea Pugliese 001 (WebDyn@ICDT, 2001)

Preface to Special Sessions on Web and Hypermedia Systems. - Mario Cannataro (ITCC, 2001)

A Priority-Based Transmission Protocol for Congested Networks Supporting Incremental Computations. - Mario Cannataro; Walter Curci; Maurizio Giglio (ITCC, 2001)

A Probabilistic Adaptive Hypermedia System. - Mario Cannataro; Alfredo Cuzzocrea; Andrea Pugliese 001 (ITCC, 2001)

Semantic Lossy Compression of XML Data. - Mario Cannataro; Gianluca Carelli; Andrea Pugliese 001; Domenico Saccà (KRDB, 2001)

XAHM: An XML-Based Adaptive Hypermedia Model and Its Implementation. - Mario Cannataro; Andrea Pugliese 001 (OHS-7/SC-3/AH-3, 2001)

Compressione Semantica con Perdita di Documenti XML. - Mario Cannataro; Gianluca Carelli; Andrea Pugliese 001; Domenico Saccà (SEBD, 2001)

Squeezex: Synthesis and Compression of XML Data. - Mario Cannataro; Carmela Comito; Andrea Pugliese 001 (ITCC, 2002)

XAHM: an adaptive hypermedia model based on XML. - Mario Cannataro; Alfredo Cuzzocrea; Andrea Pugliese 001 (SEKE, 2002)

Modeling Adaptive Hypermedia with an Object-Oriented Approach and XML. - Mario Cannataro; Alfredo Cuzzocrea; Carlo Mastroianni; Riccardo Ortale; Andrea Pugliese 001 (WebDyn@WWW, 2002)

Distributed data mining on the grid. - Mario Cannataro; Domenico Talia; Paolo Trunfio (Future Gener. Comput. Syst., 2002)

Parallel data intensive computing in scientific and commercial applications. - Mario Cannataro; Domenico Talia; Pradip K. Srimani (Parallel Comput., 2002)

Towards the Next-Generation Grid: A Pervasive Environment for Knowledge-Based Computing. - Mario Cannataro; Domenico Talia (ITCC, 2003)

Architecture, Metadata and Ontologies in the Knowledge Grid. - Mario Cannataro; Carmela Comito; Antonio Congiusta; Carlo Mastroianni; Andrea Pugliese 001; Domenico Talia; Paolo Trunfio; Pierangelo Veltri (MMGPS, 2003)

Evaluating and Enhancing the Use of the GridFTP Protocol for Efficient Data Transfer on the Grid. - Mario Cannataro; Carlo Mastroianni; Domenico Talia; Paolo Trunfio (PVM/MPI, 2003)

Proteomic Profiling of Inherited Breast Cancer: Identification of Molecular Targets for Early Detection, Prognosis and Treatment, and Related Bioinformatics Tools. - Giovanni Cuda; Mario Cannataro; Barbara Quaresima; Francesco Baudi; Rita Casadonte; Maria Concetta Faniello; Pierosandro Tagliaferri; Pierangelo Veltri; Francesco Costanzo; Salvatore Venuta (WIRN, 2003)

The knowledge grid. - Mario Cannataro; Domenico Talia (Commun. ACM, 2003)

A Survey of Architectures for Adaptive Hypermedia. - Mario Cannataro; Andrea Pugliese 001 (Web Dynamics, 2004)

Integrating Ontology and Workflow in PROTEUS, a Grid-Based Problem Solving Environment for Bioinformatics. - Mario Cannataro; Carmela Comito; Antonella Guzzo; Pierangelo Veltri (ITCC (2), 2004)

Using PROTEUS for Modeling Data Mining Analysis of Proteomics Experiments on the Grid. - Mario Cannataro; Pietro Hiram Guzzi; Tommaso Mazza; Pierangelo Veltri (OTM Workshops, 2004)

A General Architecture for Grid-Based PSE Toolkits. - Mario Cannataro; Carmela Comito; Antonio Congiusta; Gianluigi Folino; Carlo Mastroianni; Andrea Pugliese 001; Giandomenico Spezzano; Domenico Talia; Pierangelo Veltri (PARA, 2004)

Modelling a Protein Structure Comparison Application on the Grid Using PROTEUS. - Mario Cannataro; Matteo Comin; Carlo Ferrari; Concettina Guerra; Antonella Guzzo; Pierangelo Veltri (SAG, 2004)

Using Ontologies in PROTEUS, a Grid-Based Problem Solving Environment for Bioinformatics. - Mario Cannataro; Carmela Comito; Pierangelo Veltri (SEBD, 2004)

Knowledge-Based Services for Next-Generation Grids. - Mario Cannataro (WETICE, 2004)

Mass Spectrometry Data Analysis for Early Detection of Inherited Breast Cancer. - Francesco Baudi; Mario Cannataro; Rita Casadonte; Francesco Costanzo; Giovanni Cuda; Maria Concetta Faniello; Marco Gaspari; Pietro Hiram Guzzi; Tommaso Mazza; Barbara Quaresima; Pierosandro Tagliaferri; Giuseppe Tradigo; et al. (WIRN, 2004)

Proteus, a Grid based Problem Solving for Bioinformatics: Architecture and Experiments. - Mario Cannataro; Carmela Comito; Filippo Lo Schiavo; Pierangelo Veltri (IEEE Intell. Informatics Bull., 2004)

Semantics and Knowledge Grids: Building the Next-Generation Grid. - Mario Cannataro; Domenico Talia (IEEE Intell. Syst., 2004)

Ontology-based Design of Bioinformatics Workflows on PROTEUS. - Mario Cannataro; Antonella Guzzo; Carmela Comito; Pierangelo Veltri (J. Digit. Inf. Manag., 2004)

PROTEUS: a Bioinformatics Problem Solving Environment on Grids. - Mario Cannataro; Carmela Comito; Antonio Congiusta; Pierangelo Veltri (Parallel Process. Lett., 2004)

Distributed data mining on grids: services, tools, and applications. - Mario Cannataro; Antonio Congiusta; Andrea Pugliese 001; Domenico Talia; Paolo Trunfio (IEEE Trans. Syst. Man Cybern. Part B, 2004)

Using Views to Query XML Documents. - Mario Cannataro; Sophie Cluet; Giuseppe Tradigo; Pierangelo Veltri; Dan Vodislav (Encyclopedia of Database Technologies and Applications, 2005)

A Software Platform for Services Delivery in the Public Administration. - G. Acati; Mario Cannataro; E. Giampà; Marco Mastratisi; Luigi Palopoli 001; Pasquale Rullo (CAiSE Workshops (2), 2005)

Preprocessing of Mass Spectrometry Proteomics Data on the Grid. - Mario Cannataro; Pietro Hiram Guzzi; Tommaso Mazza; Giuseppe Tradigo; Pierangelo Veltri (CBMS, 2005)

Using Ontologies in PROTEUS for Modeling Proteomics Data Mining Applications. - Mario Cannataro; Pietro Hiram Guzzi; Tommaso Mazza; Giuseppe Tradigo; Pierangelo Veltri (HealthGrid, 2005)

Algorithms and Databases in Bioinformatics: Towards a Proteomic Ontology. - Mario Cannataro; Pietro Hiram Guzzi; Tommaso Mazza; Giuseppe Tradigo; Pierangelo Veltri (ITCC (1), 2005)

MS-Analyzer: Intelligent Preprocessing, Management, and Data Mining Analysis of Mass Spectrometry Data on the Grid. - Mario Cannataro; Pietro Hiram Guzzi; Tommaso Mazza; Pierangelo Veltri (SKG, 2005)

Distributed Management of Ontologies on the Grid. - Mario Cannataro; Pietro Hiram Guzzi; Tommaso Mazza; Pierangelo Veltri (WETICE, 2005)

SpecDB: A Database for Storing and Managing Mass Spectrometry Proteomics Data. - Mario Cannataro; Pierangelo Veltri (WILF, 2005)

On the Preprocessing of Mass Spectrometry Proteomics Data. - Mario Cannataro; Pietro Hiram Guzzi; Tommaso Mazza; Giuseppe Tradigo; Pierangelo Veltri (WIRN/NAIS, 2005)

Analysis and Classification of Proteomics Data, a Case Study. - Pietro Hiram Guzzi; Mario Cannataro; Marco Gaspari; Tommaso Mazza; Barbara Quaresima; Pierangelo Veltri; Francesco Saverio Costanzo (CBMS, 2006)

A Grid Service Based on Suffix Trees for Pattern Extraction from Mass Spectrometry Proteomics Data. - Mario Cannataro; Pierangelo Veltri (ISPA Workshops, 2006)

Querying XML-based Electronic Patient Records in a Peer-to-peer Environment. - Mario Cannataro; Domenico Talia; Giuseppe Tradigo; Paolo Trunfio; Pierangelo Veltri; G. Zarola (SEBD, 2006)

A Grid Service for Pattern Extraction from Mass Spectrometry Data. - Mario Cannataro; Pierangelo Veltri (SKG, 2006)

Next-generation Grids: requirements and knowledge-based services. - Mario Cannataro (Concurr. Comput. Pract. Exp., 2006)

Managing ontologies for Grid computing. - Mario Cannataro; Pietro Hiram Guzzi; Tommaso Mazza; Giuseppe Tradigo; Pierangelo Veltri (Multiagent Grid Syst., 2006)

Semantic extraction and adaptive delivery of multimedia contents for the cultural assets. - Mario Cannataro; Lorenzo Gallucci; Adriana Pietramala; Pasquale Rullo; Pierangelo Veltri (UPGRADE-CN, 2007)

Services, Standards, and Technologies for High Performance Computational Proteomics. - Mario Cannataro; Pierangelo Veltri (ISPA Workshops, 2007)

An Interactive Tool for the Management and Visualization of Mass-Spectrometry Proteomics Data. - Mario Cannataro; Giovanni Cuda; Marco Gaspari; Pierangelo Veltri (WILF, 2007)

The EIPeptiDi tool: enhancing peptide discovery in ICAT-based LC MS/MS experiments. - Mario Cannataro; Giovanni Cuda; Marco Gaspari; Sergio Greco; Giuseppe Tradigo; Pierangelo Veltri (BMC Bioinform., 2007)

MS-Analyzer: preprocessing and data mining services for proteomics applications on the Grid. - Mario Cannataro; Pierangelo Veltri (Concurr. Comput. Pract. Exp., 2007)

Using ontologies for preprocessing and mining spectra data on the Grid. - Mario Cannataro; Pietro Hiram Guzzi; Tommaso Mazza; Giuseppe Tradigo; Pierangelo Veltri (Future Gener. Comput. Syst., 2007)

Sharing mass spectrometry data in a grid-based distributed proteomics laboratory. - Pierangelo Veltri; Mario Cannataro; Giuseppe Tradigo (Inf. Process. Manag., 2007)

Bioinformatics Web Portals. - Mario Cannataro (Encyclopedia of Portal Technologies and Applications, 2007)

Models and Technologies for Adaptive Web Portals. - Lorenzo Gallucci; Mario Cannataro (Encyclopedia of Portal Technologies and Applications, 2007)

myMCL: A Web Portal for Protein Complexes Prediction. - Mario Cannataro; Pietro Hiram Guzzi; Pierangelo Veltri (CBMS, 2008)

An Extension of the TIGR M4 Suite to Preprocess and Visualize Affymetrix Binary Files. - Mario Cannataro; Maria Teresa Di Martino; Pietro Hiram Guzzi; Pierosandro Tagliaferri; Pierfrancesco Tassone; Giuseppe Tradigo; Pierangelo Veltri (CIBB, 2008)

A Grid-based Protein Complex Predictor. - Mario Cannataro; Pietro Hiram Guzzi; Pierangelo Veltri (HealthGrid, 2008)

IMPRECO: A Tool for Improving the Prediction of Protein Complexes. - Mario Cannataro; Pietro Hiram Guzzi; Pierangelo Veltri (ICCS (3), 2008)

Bioinformatics' Challenges to Computer Science. - Mario Cannataro; Mathilde Romberg; Joakim Sundnes; Rodrigo Weber dos Santos (ICCS (3), 2008)

Scalable biomedical and bioinformatics applications. - Mario Cannataro; Pietro Hiram Guzzi; Giuseppe Tradigo; Pierangelo Veltri (Infoscale, 2008)

A Tool for the Semiautomatic Acquisition of the Morphological Data of Blood Vessel Networks. - Mario Cannataro; Pietro Hiram Guzzi; Giuseppe Tradigo; Pierangelo Veltri (ISPA, 2008)

A web-based system for the collection and analysis of spectra signals for early detection of voice alterations. - Francesco Amato 001; Mario Cannataro; Carlo Cosentino; Francesco Montefusco; Giuseppe Tradigo; Pierangelo Veltri; Aldo Garozzo; Nicola Lombardo; Sergio Greco; Claudia Manfredi (SAC, 2008)

Computational proteomics: management and analysis of proteomics data. - Mario Cannataro (Briefings Bioinform., 2008)

SIGMCC: A system for sharing meta patient records in a Peer-to-Peer environment. - Mario Cannataro; Domenico Talia; Giuseppe Tradigo; Paolo Trunfio; Pierangelo Veltri (Future Gener. Comput. Syst., 2008)

Bioinformatics Web Portals. - Mario Cannataro (Selected Readings on Database Technologies and Applications, 2009)

Bioinformatics Web Portals. - Mario Cannataro; Pierangelo Veltri (Database Technologies: Concepts, Methodologies, Tools, and Applications, 2009)

GridSnake: A Grid-based implementation of the Snake segmentation algorithm. - Mario Cannataro; Pietro Hiram Guzzi; Marcelo Lobosco; Rodrigo Weber dos Santos (CBMS, 2009)

Using ontologies for annotating and retrieving protein-protein interactions data. - Mario Cannataro; Pietro Hiram Guzzi; Pierangelo Veltri (CBMS, 2009)

StiMaRe: A software tool supporting visual stimuli definition and analysis in magnetic resonance. - Giuseppe Tradigo; Pierangelo Veltri; Mario Cannataro; Francesco Fera (CBMS, 2009)

Bioinformatics' Challenges to Computer Science: Bioinformatics Tools and Biomedical Modeling. - Mario Cannataro; Rodrigo Weber dos Santos; Joakim Sundnes (ICCS (1), 2009)

Cartesio: A Software Tool for Pre-implant Stent Analyses. - Ciro Indolfi; Mario Cannataro; Pierangelo Veltri; Giuseppe Tradigo (ICCS (1), 2009)

Automatic detection of obstructive sleep apnea syndrome based on snore signals. - Barbara Calabrese; Franco Pucci; Miriam Sturniolo; Pierangelo Veltri; Antonio Gambardella; Mario Cannataro (MAVEBA, 2009)

Modeling and Simulation of Blood Vessel Networks on the Grid. - Mario Cannataro; Gionata Fragomeni (SKG, 2009)

Using ontologies for querying and analysing protein-protein interaction data. - Pietro Hiram Guzzi; Mario Cannataro (SWAT4LS, 2009)

Early detection of voice diseases via a web-based system. - Francesco Amato 001; Mario Cannataro; Carlo Cosentino; Aldo Garozzo; Nicola Lombardo; Claudia Manfredi; Francesco Montefusco; Giuseppe Tradigo; Pierangelo Veltri (Biomed. Signal Process. Control., 2009)

Using RDF for managing protein-protein interaction data. - Mario Cannataro; Pietro Hiram Guzzi; Pierangelo Veltri (BCB, 2010)

Experimental comparison of biclustering algorithms for PPI networks. - Vera Tomaino; Pietro Hiram Guzzi; Mario Cannataro; Pierangelo Veltri (BCB, 2010)

Management and Analysis of Protein-to-Protein Interaction Data. - Mario Cannataro; Pietro Hiram Guzzi (CIBB, 2010)

HiBB 2010: Workshop on High Performance Bioinformatics and Biomedicine. - Mario Cannataro (Euro-Par Workshops, 2010)

Parallel Pre-processing of Affymetrix Microarray Data. - Pietro Hiram Guzzi; Mario Cannataro (Euro-Par Workshops, 2010)

Geomedica: a web portal for managing and querying clinical and biological data (Demo Paper). - Giuseppe Tradigo; Mario Cannataro; Pietro Hiram Guzzi; Pierangelo Veltri (SEBD, 2010)

mu-CS: An extension of the TM4 platform to manage Affymetrix binary data. - Pietro Hiram Guzzi; Mario Cannataro (BMC Bioinform., 2010)

Protein-to-protein interactions: Technologies, databases, and algorithms. - Mario Cannataro; Pietro Hiram Guzzi; Pierangelo Veltri (ACM Comput. Surv., 2010)

IMPRECO: Distributed prediction of protein complexes. - Mario Cannataro; Pietro Hiram Guzzi; Pierangelo Veltri (Future Gener. Comput. Syst., 2010)

Special section: Biomedical and bioinformatics challenges to computer science. - Mario Cannataro; Mathilde Romberg; Joakim Sundnes; Rodrigo Weber dos Santos (Future Gener. Comput. Syst., 2010)

Using ontologies for querying and analysing protein-protein interaction data. - Mario Cannataro; Pietro Hiram Guzzi; Pierangelo Veltri (ICCS, 2010)

Biomedical and bioinformatics challenges to computer science. - Mario Cannataro; Rodrigo Weber dos Santos; Joakim Sundnes (ICCS, 2010)

Experimental evaluation of OntoPIN: an ontology-annotated PPI database. - Pietro Hiram Guzzi; Pierangelo Veltri; Mario Cannataro (BCB, 2011)

Using semantic similarity to detect features in yeast protein complexes. - Pietro Hiram Guzzi; Marianna Milano; Pierangelo Veltri; Mario Cannataro (BIBM Workshops, 2011)

VeNet: A framework for the analysis of protein interaction networks through vector space embedding. - Pietro Hiram Guzzi; Pierangelo Veltri; Mario Cannataro (BIBM Workshops, 2011)

Challenges in microarray data management and analysis. - Pietro Hiram Guzzi; Mario Cannataro (CBMS, 2011)

HiBB 2011: 2 nd Workshop on High Performance Bioinformatics and Biomedicine. - Mario Cannataro (Euro-Par Workshops (2), 2011)

Distributed Management and Analysis of Omics Data. - Mario Cannataro; Pietro Hiram Guzzi (Euro-Par Workshops (2), 2011)

Experiences of using a DSP based device for vocal signal analysis. - Arrigo Palumbo; Pierangelo Veltri; Barbara Calabrese; Patrizia Vizza; Mario Cannataro; Aldo Garozzo; Nicola Lombardo; Francesco Amato 001 (MAVEBA, 2011)

A System for the Analysis of Snore Signals. - Barbara Calabrese; Franco Pucci; Miriam Sturniolo; Pietro Hiram Guzzi; Pierangelo Veltri; Antonio Gambardella; Mario Cannataro (ICCS, 2011)

Biomedical and Bioinformatics Challenges to Computer Science: Bioinformatics, Modeling of Biomedical Systems and Clinical Applications. - Mario Cannataro; Rodrigo Weber dos Santos; Joakim Sundnes (ICCS, 2011)

Automatic summarisation and annotation of microarray data. - Pietro Hiram Guzzi; Maria Teresa Di Martino; Giuseppe Tradigo; Pierangelo Veltri; Pierfrancesco Tassone; Pierosandro Tagliaferri; Mario Cannataro (Soft Comput., 2011)

Unraveling multiple miRNA-mRNA associations through a graph-based approach. - Pietro Hiram Guzzi; Pierangelo Veltri; Mario Cannataro (BCB, 2012)

Knowledge-based compilation of magnetic resonance diagnosis reports in neuroradiology. - Mario Cannataro; Orlando Alfieri; Francesco Fera (CBMS, 2012)

CytoMCL: A Cytoscape plugin for fast clustering of protein interaction networks. - Pietro Hiram Guzzi; Mario Cannataro (CBMS, 2012)

SySQ: A Web-based system for survey and questionnaire management in medicine. - Alessia Sarica; Pietro Hiram Guzzi; Domenico Flotta; Carmelo G. A. Nobile; Mario Cannataro (CBMS, 2012)

audioEPR: A specialized electronic patient records for the semi-automatic management of clinical data in audiology. - Salvatore Scaramuzzino; Pietro Hiram Guzzi; Claudio Petrolo; Giuseppe Chiarella; Pierangelo Veltri; Mario Cannataro (CBMS, 2012)

HiBB 2012: 3 rd Workshop on High Performance Bioinformatics and Biomedicine. - Mario Cannataro (Euro-Par Workshops, 2012)

Health risk assessment of zoonotic infections agents through plant products in areas with high livestock pressure. - Giuseppe Tradigo; Mario Cannataro; Pietro Hiram Guzzi; Francesco Casalinuovo; Pierangelo Veltri; Caterina Graziani (HealthGIS, 2012)

Semantic similarity analysis of protein data: assessment with biological features and issues. - Pietro Hiram Guzzi; Marco Mina; Concettina Guerra; Mario Cannataro (Briefings Bioinform., 2012)

DMET-Analyzer: automatic analysis of Affymetrix DMET Data. - Pietro Hiram Guzzi; Giuseppe Agapito; Maria Teresa Di Martino; Mariamena Arbitrio; Pierfrancesco Tassone; Pierosandro Tagliaferri; Mario Cannataro (BMC Bioinform., 2012)

Advanced computing solutions for health care and medicine. - Mario Cannataro; Rodrigo Weber dos Santos; Joakim Sundnes; Pierangelo Veltri (J. Comput. Sci., 2012)

On the choice of centralized vs decentralized systems for EPR in hospitals. - Mario Cannataro; Pietro Hiram Guzzi; Giuseppe Tradigo; Pierangelo Veltri (SIGHIT Rec., 2012)

Trends in computer-based medical systems. - Paolo Soda; Sameer K. Antani; Francesco Tortorella; Mario Cannataro; Mykola Pechenizkiy; Alexey Tsymbal (SIGHIT Rec., 2012)

Cloud4SNP: Distributed Analysis of SNP Microarray Data on the Cloud. - Giuseppe Agapito; Mario Cannataro; Pietro Hiram Guzzi; Fabrizio Marozzo; Domenico Talia; Paolo Trunfio (BCB, 2013)

Modularity and community detection in Semantic Similarity Networks trough Spectral Based Transformation and Markov Clustering. - Pietro Hiram Guzzi; Marco Mina; Concettina Guerra; Mario Cannataro (BCB, 2013)

Modularity and community detection in Semantic Similarity Networks trough Spectral Based Transformation and Markov Clustering. - Pietro Hiram Guzzi; Simone Truglia; Marianna Milano; Pierangelo Veltri; Mario Cannataro (BCB, 2013)

Using open data in health care and tourism. - Mario Cannataro; Pietro Hiram Guzzi; Pierangelo Veltri (BIBM, 2013)

Application of different classification techniques on brain morphological data. - Alessia Sarica; Claudia Critelli; Pietro Hiram Guzzi; Antonio Cerasa; Aldo Quattrone; Mario Cannataro (CBMS, 2013)

Thresholding of Semantic Similarity Networks Using a Spectral Graph-Based Technique. - Pietro Hiram Guzzi; Pierangelo Veltri; Mario Cannataro (NFMCP, 2013)

Studying miRNA-mRNA associations by using graphs. - Pietro Hiram Guzzi; Giuseppe Tradigo; Pierangelo Veltri; Mario Cannataro (SEBD, 2013)

Visualization of protein interaction networks: problems and solutions. - Giuseppe Agapito; Pietro Hiram Guzzi; Mario Cannataro (BMC Bioinform., 2013)

Micro-Analyzer: Automatic preprocessing of Affymetrix microarray data. - Pietro Hiram Guzzi; Mario Cannataro (Comput. Methods Programs Biomed., 2013)

Visual Data Mining of Biological Networks: One Size Does Not Fit All. - Chiara Pastrello; David Otasek; Kristen Fortney; Giuseppe Agapito; Mario Cannataro; Elize Shirdel; Igor Jurisica (PLoS Comput. Biol., 2013)

Data mining and life sciences applications on the grid. - Mario Cannataro; Pietro Hiram Guzzi; Alessia Sarica (WIREs Data Mining Knowl. Discov., 2013)

A taxonomy for bioinformatics tools: exploiting semantics, parallelism, and services for analyzing omics data. - Mario Cannataro; Pietro Hiram Guzzi (BCB, 2014)

A web-based tool to analyze semantic similarity networks. - Marianna Milano; Pietro Hiram Guzzi; Pierangelo Veltri; Mario Cannataro (BCB, 2014)

Improving annotation quality in gene ontology by mining cross-ontology weighted association rules. - Giuseppe Agapito; Marianna Milano; Pietro Hiram Guzzi; Mario Cannataro (BIBM, 2014)

DMET-miner: Efficient learning of association rules from genotyping data for personalized medicine. - Pietro Hiram Guzzi; Giuseppe Agapito; Maria Teresa Di Martino; Mariamena Arbitrio; Pierfrancesco Tassone; Pierosandro Tagliaferri; Mario Cannataro (BIBM, 2014)

Biases in information content measurement of gene ontology terms. - Marianna Milano; Giuseppe Agapito; Pietro Hiram Guzzi; Mario Cannataro (BIBM, 2014)

K-Surfer: A KNIME Extension for the Management and Analysis of Human Brain MRI FreeSurfer/FSL Data. - Alessia Sarica; Giuseppe Di Fatta; Mario Cannataro (Brain Informatics and Health, 2014)

EMG-Miner: Automatic Acquisition and Processing of Electromyographic Signals: First Experimentation in a Clinical Context for Gait Disorders Evaluation. - Nicola Ielpo; Barbara Calabrese; Mario Cannataro; Arrigo Palumbo; S. Ciliberti; C. Grillo; Maurizio Iocco (CBMS, 2014)

GO-WAR: A Tool for Mining Weighted Association Rules from Gene Ontology Annotations. - Giuseppe Agapito; Mario Cannataro; Pietro Hiram Guzzi; Marianna Milano (CIBB, 2014)

Profiling basic health information of tourists: towards a recommendation system for the adaptive delivery of medical certified nutrition contents. - Giuseppe Agapito; Barbara Calabrese; Ilaria Care; Daniela Falcone; Pietro Hiram Guzzi; Nicola Ielpo; Theodora Lamprinoudi; Marianna Milano; Mariadelina Simeoni; Mario Cannataro (HPCS, 2014)

Mining Association Rules from Gene Ontology and Protein Networks: Promises and Challenges. - Pietro Hiram Guzzi; Marianna Milano; Mario Cannataro (ICCS, 2014)

Relating Clinical Diagnosis and Biological Analytes via EMRs Clustering. - Giovanni Canino; Mario Cannataro; Pietro Hiram Guzzi; Giuseppe Tradigo; Pierangelo Veltri (ICHI, 2014)

Geoanalysis of Clinical Diagnoses and Biological Analytes Data. - Giovanni Canino; Mario Cannataro; Pietro Hiram Guzzi; Giuseppe Tradigo; Pierangelo Veltri (SEBD, 2014)

coreSNP: Parallel Processing of Microarray Data. - Pietro Hiram Guzzi; Giuseppe Agapito; Mario Cannataro (IEEE Trans. Computers, 2014)

Efficient learning of association rules from human phenotype ontology. - Giuseppe Agapito; Marianna Milano; Pietro Hiram Guzzi; Mario Cannataro (BCB, 2015)

Overall Survival Analyzer: A software tool to analyze genotyping and clinical data enriched with temporal events. - Giuseppe Agapito; Pietro Hiram Guzzi; C. Botta; Mariamena Arbitrio; Pierfrancesco Tassone; Pierosandro Tagliaferri; Mario Cannataro (BIBM, 2015)

A Genetic Algorithm for the selection of structural MRI features for classification of Mild Cognitive Impairment and Alzheimer's Disease. - Alexander Luke Spedding; Giuseppe Di Fatta; Mario Cannataro (BIBM, 2015)

Sentiment Analysis and Affective Computing: Methods and Applications. - Barbara Calabrese; Mario Cannataro (BrainComp, 2015)

ICT Solutions for Health Education Model. - Domenico Mirarchi; Patrizia Vizza; Mario Cannataro; Pietro Hiram Guzzi; Giuseppe Tradigo; Pierangelo Veltri (CBMS, 2015)

8th Workshop on Biomedical and Bioinformatics Challenges for Computer Science - BBC2015. - Stefano Beretta 001; Mario Cannataro; Riccardo Dondi (ICCS, 2015)

Using Social Networks Data for Behavior and Sentiment Analysis. - Barbara Calabrese; Mario Cannataro; Nicola Ielpo (IDCS, 2015)

Applications of High Performance Computing in Bioinformatics, Computational Biology and Computational Chemistry. - Horacio Pérez Sánchez; Afshin Fassihi; José M. Cecilia; Hesham H. Ali; Mario Cannataro (IWBBIO (2), 2015)

Using GO-WAR for mining cross-ontology weighted association rules. - Giuseppe Agapito; Mario Cannataro; Pietro Hiram Guzzi; Marianna Milano (Comput. Methods Programs Biomed., 2015)

Analysis of miRNA, mRNA, and TF interactions through network-based methods. - Pietro Hiram Guzzi; Maria Teresa Di Martino; Pierosandro Tagliaferri; Pierfrancesco Tassone; Mario Cannataro (EURASIP J. Bioinform. Syst. Biol., 2015)

DMET-Miner: Efficient discovery of association rules from pharmacogenomic data. - Giuseppe Agapito; Pietro Hiram Guzzi; Mario Cannataro (J. Biomed. Informatics, 2015)

GoD: An R-package based on ontologies for prioritization of genes with respect to diseases. - Mario Cannataro; Pietro Hiram Guzzi; Marianna Milano (J. Comput. Sci., 2015)

Using SSN-Analyzer for analysis of semantic similarity networks. - Pietro Hiram Guzzi; Marianna Milano; Pierangelo Veltri; Mario Cannataro (Netw. Model. Anal. Health Informatics Bioinform., 2015)

Cloud Computing in Healthcare and Biomedicine. - Barbara Calabrese; Mario Cannataro (Scalable Comput. Pract. Exp., 2015)

Using Network Alignment for Analysis of Connectomes: Experiences from a Clinical Dataset. - Marianna Milano; Olga Tymofiyeva; Duan Xu; Christopher Paul Hess; Mario Cannataro; Pietro Hiram Guzzi (BCB, 2016)

GLAlign: Using global graph alignment to improve local graph alignment. - Marianna Milano; Mario Cannataro; Pietro Hiram Guzzi (BIBM, 2016)

9th Workshop on Biomedical and Bioinformatics Challenges for Computer Science - BBC2016. - Stefano Beretta 001; Mario Cannataro; Mauro Castelli (ICCS, 2016)

Computational challenges for sentiment analysis in life sciences. - F. Ciullo; Chiara Zucco; Barbara Calabrese; Giuseppe Agapito; Pietro Hiram Guzzi; Mario Cannataro (HPCS, 2016)

Efficient Data Mining Analysis of Genomics and Clinical Data for Pharmacogenomics Applications. - Giuseppe Agapito; Pietro Hiram Guzzi; Mario Cannataro (WILF, 2016)

DIETOS: A recommender system for adaptive diet monitoring and personalized food suggestion. - Giuseppe Agapito; Barbara Calabrese; Pietro Hiram Guzzi; Mario Cannataro; Mariadelina Simeoni; Ilaria Care; Theodora Lamprinoudi; Giorgio Fuiano; Arturo Pujia (WiMob, 2016)

Methodologies and experimental platforms for generating and analysing microarray and mass spectrometry-based omics data to support P4 medicine. - Pietro Hiram Guzzi; Giuseppe Agapito; Marianna Milano; Mario Cannataro (Briefings Bioinform., 2016)

Extracting Cross-Ontology Weighted Association Rules from Gene Ontology Annotations. - Giuseppe Agapito; Marianna Milano; Pietro Hiram Guzzi; Mario Cannataro (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

Using GenotypeAnalytics to Analyze Pharmacogenomic Datasets. - Giuseppe Agapito; Pietro Hiram Guzzi; Mario Cannataro (BCB, 2017)

ParBio'17: 6th Workshop on Parallel and Cloud-based Bioinformatics and Biomedicine. - Mario Cannataro; John A. Springer (BCB, 2017)

A software pipeline for multiple microarray data analysis. - Giuseppe Agapito; Mario Cannataro (BIBM, 2017)

Sentiment analysis and affective computing for depression monitoring. - Chiara Zucco; Barbara Calabrese; Mario Cannataro (BIBM, 2017)

Using Graphs to Relate Patient's Clinical and Geographical Data. - Pietro Hiram Guzzi; Mario Cannataro; Pierangelo Veltri (FNC/MobiSPC, 2017)

10th Workshop on Biomedical and Bioinformatics Challenges for Computer Science - BBC2017. - Giuseppe Agapito; Mario Cannataro; Mauro Castelli; Riccardo Dondi; Italo Zoppis (ICCS, 2017)

Using Multi Network Alignment for Analysis of Connectomes. - Marianna Milano; Pietro Hiram Guzzi; Mario Cannataro (ICCS, 2017)

High Performance Analysis of Omics Data: Experiences at University Magna Graecia of Catanzaro. - Giuseppe Agapito; Pietro Hiram Guzzi; Mario Cannataro (HPCS, 2017)

Parallel and Cloud-Based Analysis of Omics Data: Modelling and Simulation in Medicine. - Giuseppe Agapito; Barbara Calabrese; Pietro Hiram Guzzi; Gionata Fragomeni; Giuseppe Tradigo; Pierangelo Veltri; Mario Cannataro (PDP, 2017)

Learning Association Rules for Pharmacogenomic Studies. - Giuseppe Agapito; Pietro Hiram Guzzi; Mario Cannataro (NFMCP@PKDD/ECML, 2017)

DIETOS: A Recommender System for Health Profiling and Diet Management in Chronic Diseases. - Giuseppe Agapito; Mariadelina Simeoni; Barbara Calabrese; Pietro Hiram Guzzi; Giorgio Fuiano; Mario Cannataro (HealthRecSys@RecSys, 2017)

eMiRo: an ontology-based system for clinical data integration and analysis. - Pietro Cinaglia; Pierangelo Veltri; Mario Cannataro (SEBD, 2017)

Parallel and Distributed Analysis of Microarray Data. - Giuseppe Agapito; Pietro Hiram Guzzi; Mario Cannataro (TopHPC, 2017)

An extensive assessment of network alignment algorithms for comparison of brain connectomes. - Marianna Milano; Pietro Hiram Guzzi; Olga Tymofiyeva; Duan Xu; Christopher Paul Hess; Pierangelo Veltri; Mario Cannataro (BMC Bioinform., 2017)

GenotypeAnalytics: a RESTFul platform to mine multiple associations between SNPs and drug response in case-control studies. - Giuseppe Agapito; Pietro Hiram Guzzi; Mario Cannataro (PeerJ Prepr., 2017)

Services4SNPs: A RESTful Platform for Association Rule Mining and Survival Analysis of Genotyping Data. - Giuseppe Agapito; Mario Cannataro (BCB, 2018)

A Cooperative Vehicle Routing Platform for Logistic Management in Healthcare. - Valentina Falvo; Mariagrazia Scalise; Francesco Lupia; Pierfrancesco Casella; Mario Cannataro (BCB, 2018)

HetNetAligner: A Novel Algorithm for Local Alignment of Heterogeneous Biological Networks. - Marianna Milano; Pietro Hiram Guzzi; Mario Cannataro (BCB, 2018)

S4S: RESTful Services to Collect, Integrate and Analyze SNPs and Clinical Data on the Web. - Giuseppe Agapito; Pietro Hiram Guzzi; Mario Cannataro (BIBM, 2018)

Survey of main tools for querying and analyzing TCGA Data. - Marzia Settino; Mario Cannataro (BIBM, 2018)

Predicting Abandonment in Telehomecare Programs Using Sentiment Analysis: A System Proposal. - Chiara Zucco; Sergio Bella; Clarissa Paglia; Paola Tabarini; Mario Cannataro (BIBM, 2018)

Explainable Sentiment Analysis with Applications in Medicine. - Chiara Zucco; Huizhi Liang; Giuseppe Di Fatta; Mario Cannataro (BIBM, 2018)

Towards Heterogeneous Network Alignment: Design and Implementation of a Large-Scale Data Processing Framework. - Marianna Milano; Pierangelo Veltri; Mario Cannataro; Pietro Hiram Guzzi (Euro-Par Workshops, 2018)

VOTA - A Vocal Tract and Training Analysis Tool. - Giuseppe Tradigo; Patrizia Vizza; Pasquale Lambardi; Silvio Cosoleto; Pietro Hiram Guzzi; Mario Cannataro; Aldo Quattrone; Pierangelo Veltri (ICHI, 2018)

DIETOS: A dietary recommender system for chronic diseases monitoring and management. - Giuseppe Agapito; Mariadelina Simeoni; Barbara Calabrese; Ilaria Care; Theodora Lamprinoudi; Pietro Hiram Guzzi; Arturo Pujia; Giorgio Fuiano; Mario Cannataro (Comput. Methods Programs Biomed., 2018)

Editorial of the Special Issue of the 10th Workshop on Biomedical and Bioinformatics Challenges for Computer Science - BBC 2017. - Giuseppe Agapito; Mario Cannataro; Mauro Castelli; Riccardo Dondi; Italo Zoppis (Comput., 2018)

HetNetAligner: Design and Implementation of an algorithm for heterogeneous network alignment on Apache Spark. - Pietro Hiram Guzzi; Marianna Milano; Pierangelo Veltri; Mario Cannataro (CoRR, 2018)

An experimental study of information content measurement of gene ontology terms. - Marianna Milano; Giuseppe Agapito; Pietro Hiram Guzzi; Mario Cannataro (Int. J. Mach. Learn. Cybern., 2018)

A pipeline for mining association rules from large datasets of retailers invoices. - Giuseppe Agapito; Barbara Calabrese; Pietro Hiram Guzzi; Mario Cannataro (APPIS, 2019)

ParBio'19 - 8th Workshop on Parallel and Cloud-based Bioinformatics and Biomedicine. - Giuseppe Agapito; Wes Lloyd; Mario Cannataro (BCB, 2019)

Challenges and Opportunities of Amazon Serverless Lambda Services in Bioinformatics. - Rodrigo Crespo-Cepeda; Giuseppe Agapito; José Luis Vázquez-Poletti; Mario Cannataro (BCB, 2019)

Towards Local Alignment of Multiple Networks: Multi-GLAlign. - Marianna Milano; Pietro Hiram Guzzi; Mario Cannataro (BCB, 2019)

Using GMQL-Web for Querying, Downloading and Integrating Public with Private Genomic Datasets. - Marzia Settino; Anna Bernasconi 002; Gaia Ceddia; Giuseppe Agapito; Marco Masseroli; Mario Cannataro (BCB, 2019)

Association Rule Mining from large datasets of clinical invoices document. - Giuseppe Agapito; Barbara Calabrese; Pietro Hiram Guzzi; Sabrina Graziano; Mario Cannataro (BIBM, 2019)

Pathway Analysis for SNP microarray data. - Giuseppe Agapito; Pietro Hiram Guzzi; Mario Cannataro (BIBM, 2019)

Mining Association Rules From Disease Ontology. - Giuseppe Agapito; Marianna Milano; Pietro Hiram Guzzi; Mario Cannataro (BIBM, 2019)

Emotion Mining: from Unimodal to Multimodal Approaches. - Chiara Zucco; Barbara Calabrese; Mario Cannataro (BrainComp, 2019)

Learning Weighted Association Rules in Human Phenotype Ontology. - Giuseppe Agapito; Mario Cannataro; Pietro H. Guzzi; Marianna Milano (CIBB, 2019)

Parallel Learning of Weighted Association Rules in Human Phenotype Ontology. - Giuseppe Agapito; Mario Cannataro; Pietro Hiram Guzzi; Marianna Milano (Euro-Par Workshops, 2019)

A Parallel Software Platform for Pathway Enrichment. - Giuseppe Agapito; Mario Cannataro (NUMTA(1), 2019)

Parallel extraction of association rules from genomics data. - Giuseppe Agapito; Pietro Hiram Guzzi; Mario Cannataro (Appl. Math. Comput., 2019)

Using multiple network alignment for studying connectomes. - Marianna Milano; Pietro Hiram Guzzi; Mario Cannataro (Netw. Model. Anal. Health Informatics Bioinform., 2019)

Network building and analysis in connectomics studies: a review of algorithms, databases and technologies. - Marianna Milano; Pietro Hiram Guzzi; Mario Cannataro (Netw. Model. Anal. Health Informatics Bioinform., 2019)

GLAlign: A Novel Algorithm for Local Network Alignment. - Marianna Milano; Pietro Hiram Guzzi; Mario Cannataro (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Big Data Analysis in Bioinformatics. - Mario Cannataro (Encyclopedia of Big Data Technologies, 2019)

Computing for Bioinformatics. - Mario Cannataro; Giuseppe Agapito (Encyclopedia of Bioinformatics and Computational Biology (1), 2019)

Using BioPAX-Parser (BiP) to Annotate Lists of Biological Entities with Pathway Data. - Giuseppe Agapito; Mario Cannataro (ER (Workshops), 2020)

A New Parallel Methodology for the Network Analysis of COVID-19 Data. - Giuseppe Agapito; Marianna Milano; Mario Cannataro (Euro-Par Workshops, 2020)

MMRF-CoMMpass Data Integration and Analysis for Identifying Prognostic Markers. - Marzia Settino; Mariamena Arbitrio; Francesca Scionti; Daniele Caracciolo; Maria Teresa Di Martino; Pierosandro Tagliaferri; Pierfrancesco Tassone; Mario Cannataro (ICCS (3), 2020)

An efficient and scalable SPARK preprocessing methodology for Genome Wide Association Studies. - Giuseppe Agapito; Pietro Hiram Guzzi; Mario Cannataro (PDP, 2020)

BioPAX-Parser: parsing and enrichment analysis of BioPAX pathways. - Giuseppe Agapito; Chiara Pastrello; Pietro Hiram Guzzi; Igor Jurisica; Mario Cannataro (Bioinform., 2020)

Sentiment Analysis and Text Mining of Questionnaires to Support Telemonitoring Programs. - Chiara Zucco; Clarissa Paglia; Sonia Graziano; Sergio Bella; Mario Cannataro (Inf., 2020)

SL-GLAlign: improving local alignment of biological networks through simulated annealing. - Marianna Milano; Wayne B. Hayes; Pierangelo Veltri; Mario Cannataro; Pietro Hiram Guzzi (Netw. Model. Anal. Health Informatics Bioinform., 2020)

A Comprehensive Machine-Learning-Based Software Pipeline to Classify EEG Signals: A Case Study on PNES vs. Control Subjects. - Giuseppe Varone; Sara Gasparini; Edoardo Ferlazzo; Michele Ascoli; Giovanbattista Gaspare Tripodi; Chiara Zucco; Barbara Calabrese; Mario Cannataro; Umberto Aguglia (Sensors, 2020)

cPEA: a parallel method to perform pathway enrichment analysis using multiple pathways databases. - Giuseppe Agapito; Mario Cannataro (Soft Comput., 2020)

Sentiment analysis for mining texts and social networks data: Methods and tools. - Chiara Zucco; Barbara Calabrese; Giuseppe Agapito; Pietro Hiram Guzzi; Mario Cannataro (WIREs Data Mining Knowl. Discov., 2020)

Data mining for electroencephalogram signal processing and analysis. - Rossana Mancuso; Marzia Settino; Mario Cannataro (BCB, 2021)

Characterization of Long COVID using text mining on narrative medicine texts. - Ileana Scarpino; Chiara Zucco; Mario Cannataro (BIBM, 2021)

A Software Pipeline Based on Sentiment Analysis to Analyze Narrative Medicine Texts. - Ileana Scarpino; Chiara Zucco; Mario Cannataro (ICCS (2), 2021)

snpStorage: a database to store and share experimental SNPs data sets. - Giuseppe Agapito; Mario Cannataro (SEBD, 2021)

A novel network-based methodology for analysis of COVID-19 data. - Marianna Milano; Mario Cannataro (SEBD, 2021)

A software pipeline for pre-processing and mining EEG signals: application in neurology (Discussion Paper). - Chiara Zucco; Barbara Calabrese; Miriam Sturniolo; Antonio Gambardella; Mario Cannataro (SEBD, 2021)

Sentiment Analysis of medical questionnaires to improve adherence to telemonitoring programs (Discussion Paper). - Chiara Zucco; Clarissa Paglia; Sonia Graziano; Sergio Bella; Mario Cannataro (SEBD, 2021)

Bioinformatics helping to mitigate the impact of COVID-19 - Editorial. - Mario Cannataro; Andrew Harrison (Briefings Bioinform., 2021)

MMRFBiolinks: an R-package for integrating and analyzing MMRF-CoMMpass data. - Marzia Settino; Mario Cannataro (Briefings Bioinform., 2021)

Using BioPAX-Parser (BiP) to enrich lists of genes or proteins with pathway data. - Giuseppe Agapito; Mario Cannataro (BMC Bioinform., 2021)

Parallel and distributed association rule mining in life science: A novel parallel algorithm to mine genomics data. - Giuseppe Agapito; Pietro Hiram Guzzi; Mario Cannataro (Inf. Sci., 2021)

Identifying prognostic markers for multiple myeloma through integration and analysis of MMRF-CoMMpass data. - Marzia Settino; Mariamena Arbitrio; Francesca Scionti; Daniele Caracciolo; Giuseppe Agapito; Pierfrancesco Tassone; Pierosandro Tagliaferri; Maria Teresa Di Martino; Mario Cannataro (J. Comput. Sci., 2021)

COVID-19 Community Temporal Visualizer: a new methodology for the network-based analysis and visualization of COVID-19 data. - Marianna Milano; Chiara Zucco; Mario Cannataro (Netw. Model. Anal. Health Informatics Bioinform., 2021)

Scalable deep learning for healthcare: methods and applications. - Luca Barillaro; Giuseppe Agapito; Mario Cannataro (BCB, 2022)

Scoliosis management through apps. - Lorella Bottino; Marzia Settino; Mario Cannataro (BCB, 2022)

An Italian lexicon-based sentiment analysis approach for medical applications. - Maria Chiara Martinis; Chiara Zucco; Mario Cannataro (BCB, 2022)

Edge-based Deep Learning in Medicine: Classification of ECG signals. - Luca Barillaro; Giuseppe Agapito; Mario Cannataro (BIBM, 2022)

Alignment of Dynamic Networks based on Temporal Embeddings. - Pietro Cinaglia; Mario Cannataro (BIBM, 2022)

Serverless computing for RNA-Seq data analysis. - Pietro Cinaglia; José Luis Vázquez-Poletti; Mario Cannataro (BIBM, 2022)

A Flexible Automated Pipeline Engine for Transcript-Level Quantification from RNA-seq. - Pietro Cinaglia; Mario Cannataro (ER (Workshops), 2022)

Machine Learning Approaches in Inflammatory Bowel Disease. - Ileana Scarpino; Rosarina Vallelunga; Francesco Luzza; Mario Cannataro (ICCS (1), 2022)

Resting-State EEG Classification for PNES Diagnosis. - Chiara Zucco; Barbara Calabrese; Rossana Mancuso; Miriam Sturniolo; Antonio Gambardella; Mario Cannataro (ICCS (1), 2022)

A parallel software pipeline to select relevant genes for pathway enrichment. - Giuseppe Agapito; Mario Cannataro (PDP, 2022)

A statistical network pre-processing method to improve relevance and significance of gene lists in microarray gene expression studies. - Giuseppe Agapito; Marianna Milano; Mario Cannataro (BMC Bioinform., 2022)

Forecasting COVID-19 Epidemic Trends by Combining a Neural Network with Rt Estimation. - Pietro Cinaglia; Mario Cannataro (Entropy, 2022)

Design and Implementation of a New Local Alignment Algorithm for Multilayer Networks. - Marianna Milano; Pietro Hiram Guzzi; Mario Cannataro (Entropy, 2022)

An Extensive Assessment of Network Embedding in PPI Network Alignment. - Marianna Milano; Chiara Zucco; Marzia Settino; Mario Cannataro (Entropy, 2022)

Network alignment and motif discovery in dynamic networks. - Pietro Cinaglia; Mario Cannataro (Netw. Model. Anal. Health Informatics Bioinform., 2022)

Parallel Network Analysis and Communities Detection (PANC) Pipeline for the Analysis and Visualization of COVID-19 Data. - Giuseppe Agapito; Marianna Milano; Mario Cannataro (Parallel Process. Lett., 2022)

Use Predictive Learning Model to Tackle Data Breaches in Healthcare Domain. - Giuseppe Agapito; Mario Cannataro; Pietro Cinaglia; Gaetano Guardasole; Marianna Milano (BIBM, 2023)

Explanation of machine learning models for predicting obesity level using Shapley values. - Lorella Bottino; Mario Cannataro (BIBM, 2023)

A method for modelling and executing customized pipelines in serverless computing. - Pietro Cinaglia; Mario Cannataro (BIBM, 2023)

Artificial Intelligence to Analyze Huge Amounts of Juridical Documents via Edge Computing. - Gessica Fulciniti; Abdellah Kabli; Mario Cannataro; Gaetano Guardasole; Giuseppe Agapito (EWSN, 2023)

Investigating the Sentiment in Italian Long-COVID Narrations. - Maria Chiara Martinis; Ileana Scarpino; Chiara Zucco; Mario Cannataro (ICCS (2), 2023)

Deep Learning for Scoliosis Diagnosis: Methods and Databases. - Lorella Bottino; Marzia Settino; Luigi Promenzio; Mario Cannataro (NUMTA (3), 2023)

Using Edge-based Deep Learning Model for Early Detection of Cancer. - Luca Barillaro; Giuseppe Agapito; Mario Cannataro (PDP, 2023)

High performance deep learning libraries for biomedical applications. - Luca Barillaro; Giuseppe Agapito; Mario Cannataro (PDP, 2023)

Distributed ICT solutions for scoliosis management. - Lorella Bottino; Marzia Settino; Mario Cannataro (PDP, 2023)

An Overview on the Challenges and Limitations Using Cloud Computing in Healthcare Corporations. - Giuseppe Agapito; Mario Cannataro (Big Data Cogn. Comput., 2023)

Massive Parallel Alignment of RNA-seq Reads in Serverless Computing. - Pietro Cinaglia; José Luis Vázquez-Poletti; Mario Cannataro (Big Data Cogn. Comput., 2023)

MuLaN: a MultiLayer Networks Alignment Algorithm. - Marianna Milano; Pietro Cinaglia; Pietro Hiram Guzzi; Mario Cannataro (CoRR, 2023)

Temporal networks in biology and medicine: a survey on models, algorithms, and tools. - Mohammad Mehdi Hosseinzadeh; Mario Cannataro; Pietro Hiram Guzzi; Riccardo Dondi (Netw. Model. Anal. Health Informatics Bioinform., 2023)

An overview of bioinformatics courses delivered at the academic level in Italy: Reflections and recommendations from BITS. - Roberto Marangoni; Vitoantonio Bevilacqua; Mario Cannataro; Bruno Hay Mele; Giancarlo Mauri; Anna Marabotti (PLoS Comput. Biol., 2023)

Network models in bioinformatics: modeling and analysis for complex diseases. - Marianna Milano; Mario Cannataro (Briefings Bioinform., 2023)

A Method Based on Temporal Embedding for the Pairwise Alignment of Dynamic Networks. - Pietro Cinaglia; Mario Cannataro (Entropy, 2023)

Identifying Candidate Gene-Disease Associations via Graph Neural Networks. - Pietro Cinaglia; Mario Cannataro (Entropy, 2023)

Multilayer network alignment based on topological assessment via embeddings. - Pietro Cinaglia; Marianna Milano; Mario Cannataro (BMC Bioinform., 2023)

Advances and challenges in Bioinformatics and Biomedical Engineering: IWBBIO 2020. - Olga Valenzuela; Mario Cannataro; Irena Rusur; Jianxin Wang 001; Zhongming Zhao; Ignacio Rojas (BMC Bioinform., 2023)

MultiGlobAl: Global alignment of multilayer networks. - Pietro Cinaglia; Mario Cannataro (SoftwareX, 2023)

13th Workshop on Parallel and AI-based Bioinformatics and Biomedicine (ParBio): Editorial. - Giuseppe Agapito; Mario Cannataro; Wes J. Lloyd; Chiara Zucco (BCB, 2024)

Multi Weighted Graphs as Magnifier to Discover Hidden Cross-Interactions among Biological Pathways. - Giuseppe Agapito; Mario Cannataro; Gaetano Guardasole (BIBM, 2024)

Modeling UGT2B7 and NR1I3 genes through multilayer network to highlight hidden link with taxane neurotoxicity. - Giuseppe Agapito; Marianna Milano; Francesca Scionti; Nicoletta Staropoli; Pierfrancesco Tassone; Pierosandro Tagliaferri; Mario Cannataro; Mariamena Arbitrio (BIBM, 2024)

A Graph Neural Network based fMRI classification. - Luca Barillaro; Marianna Milano; Giuseppe Agapito; Mario Cannataro (BIBM, 2024)

An information system for cataloging and annotating images of scoliosis. - Lorella Bottino; Pietro Cinaglia; Mario Cannataro (BIBM, 2024)

A GPU-based method for network alignment. - Pietro Cinaglia; Mario Cannataro (BIBM, 2024)

Ethics of Artificial Intelligence: challenges, opportunities and future prospects. - Fedra Rosita Falvo; Mario Cannataro (BIBM, 2024)

Explainability techniques for Artificial Intelligence models in medical diagnostic. - Fedra Rosita Falvo; Mario Cannataro (BIBM, 2024)

A Multilayer Network-Based Method for Brain Connectivity Analysis from EEG Data. - Ilaria Lazzaro; Marianna Milano; Chiara Zucco; Miriam Sturniolo; Franco Pucci; Antonio Gambardella; Mario Cannataro (BIBM, 2024)

Evolution of medical reports over time: an analysis using Dynamic Topic Modeling. - Maria Chiara Martinis; Chiara Zucco; Antonio Amodeo; Vincenzo Facente; Francesco Greco; Mario Cannataro (BIBM, 2024)

Visualization of Comorbidities in Inflammatory Bowel Diseases through Networks. - Rosarina Vallelunga; Marianna Milano; Rocco Spagnuolo; Lidia Giubilei; Evelina Suraci; Mario Cannataro; Francesco Luzza (BIBM, 2024)

A Graph-Theory Based fMRI Analysis. - Luca Barillaro; Marianna Milano; Maria Eugenia Caligiuri; Jelle R. Dalenberg; Giuseppe Agapito; Michael Biehl; Mario Cannataro (ICCS (6), 2024)

A Pipeline for the Analysis of Multilayer Brain Networks. - Ilaria Lazzaro; Marianna Milano; Mario Cannataro (ICCS (6), 2024)

Negation Detection in Medical Texts. - Maria Chiara Martinis; Chiara Zucco; Mario Cannataro (ICCS (4), 2024)

Multilayer Networks: A Survey on Models, Analysis of Algorithms and Database. - Marianna Milano; Ilaria Lazzaro; Mario Cannataro (IWBBIO (1), 2024)

Efficient GPU Processing Method to Analyze Large GWAS Data Sets. - Giuseppe Agapito; Gaetano Guardasole; Mario Cannataro (PDP, 2024)

A Machine Learning-Based Framework for Predicting Candidate Drug Side Effects from Biological Networks. - Pietro Cinaglia; Giulia Pingitore; Marianna Milano; Mario Cannataro (ICCS (Workshops 1), 2025)

Biological Community Detection with Graph Neural Network and Network Curvature Analysis on Gene Co-expression Networks. - Marianna Milano; Pietro Cinaglia; Mario Cannataro; Pietro Hiram Guzzi (ICCS (3), 2025)

Comparative Analysis of Algorithms and Computational Architectures for Efficient Biological Data Processing. - Giuseppe Agapito; Gaetano Guardasole; Mario Cannataro (PDP, 2025)

A computational approach to study age-related modifications of the genes involved in Parkinson's disease. - Marianna Milano; Pietro Cinaglia; Pietro Hiram Guzzi; Mario Cannataro (Comput. Biol. Medicine, 2025)

fDESI: An open-source web application for visual bioinformatics pipeline design. - Pietro Cinaglia; Mario Cannataro (Neurocomputing, 2025)