Giuseppe Agapito

According to our database, Giuseppe Agapito authored at least 77 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

An Overview on the Challenges and Limitations Using Cloud Computing in Healthcare Corporations.

Giuseppe Agapito, Mario Cannataro

Big Data Cogn. Comput., 2023

High performance deep learning libraries for biomedical applications.

Luca Barillaro, Giuseppe Agapito, Mario Cannataro

Proceedings of the 31st Euromicro International Conference on Parallel, 2023

Using Edge-based Deep Learning Model for Early Detection of Cancer.

Luca Barillaro, Giuseppe Agapito, Mario Cannataro

Proceedings of the 31st Euromicro International Conference on Parallel, 2023

Use Predictive Learning Model to Tackle Data Breaches in Healthcare Domain.

Giuseppe Agapito, Mario Cannataro, Pietro Cinaglia, Gaetano Guardasole, Marianna Milano

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

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

Nine quick tips for pathway enrichment analysis.

Davide Chicco, Giuseppe Agapito

PLoS Comput. Biol., 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

Pathway integration and annotation: building a puzzle with non-matching pieces and no reference picture.

Giuseppe Agapito, Chiara Pastrello, Yun Niu, Igor Jurisica

Briefings Bioinform., 2022

A parallel software pipeline to select relevant genes for pathway enrichment.

Giuseppe Agapito, Mario Cannataro

Proceedings of the 30th Euromicro International Conference on Parallel, 2022

Edge-based Deep Learning in Medicine: Classification of ECG signals.

Luca Barillaro, Giuseppe Agapito, Mario Cannataro

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Scalable deep learning for healthcare: methods and applications.

Luca Barillaro, Giuseppe Agapito, Mario Cannataro

Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

Using Association Rules to Mine Actionable Knowledge from Internet of Medical Thinks Data.

Giuseppe Agapito

Proceedings of the Integrating Artificial Intelligence and IoT for Advanced Health Informatics, 2022

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

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

Using BioPAX-Parser (BiP) to enrich lists of genes or proteins with pathway data.

Giuseppe Agapito, Mario Cannataro

BMC Bioinform., 2021

Comprehensive pathway enrichment analysis workflows: COVID-19 case study.

Giuseppe Agapito, Chiara Pastrello, Igor Jurisica

Briefings Bioinform., 2021

snpStorage: a database to store and share experimental SNPs data sets.

Giuseppe Agapito, Mario Cannataro

Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021

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

cPEA: a parallel method to perform pathway enrichment analysis using multiple pathways databases.

Giuseppe Agapito, Mario Cannataro

Soft Comput., 2020

BioPAX-Parser: parsing and enrichment analysis of BioPAX pathways.

Giuseppe Agapito, Chiara Pastrello, Pietro Hiram Guzzi, Igor Jurisica, Mario Cannataro

Bioinform., 2020

An efficient and scalable SPARK preprocessing methodology for Genome Wide Association Studies.

Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro

Proceedings of the 28th Euromicro International Conference on Parallel, 2020

A New Parallel Methodology for the Network Analysis of COVID-19 Data.

Giuseppe Agapito, Marianna Milano, Mario Cannataro

Proceedings of the Euro-Par 2020: Parallel Processing Workshops, 2020

Using BioPAX-Parser (BiP) to Annotate Lists of Biological Entities with Pathway Data.

Giuseppe Agapito, Mario Cannataro

Proceedings of the Advances in Conceptual Modeling, 2020

2019

Computing for Bioinformatics.

Mario Cannataro, Giuseppe Agapito

Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 1, 2019

Visualization of Biological Pathways.

Giuseppe Agapito

Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 1, 2019

Biological Pathways.

Giuseppe Agapito

Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 1, 2019

Computing Languages for Bioinformatics: BioPerl.

Giuseppe Agapito

Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 1, 2019

Computing Languages for Bioinformatics: Perl.

Giuseppe Agapito

Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 1, 2019

Standards and Models for Biological Data: BioPAX.

Giuseppe Agapito

Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 1, 2019

Standards and Models for Biological Data: SBML.

Giuseppe Agapito

Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 1, 2019

Parallel extraction of association rules from genomics data.

Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro

Appl. Math. Comput., 2019

A Parallel Software Platform for Pathway Enrichment.

Giuseppe Agapito, Mario Cannataro

Proceedings of the Numerical Computations: Theory and Algorithms, 2019

Parallel and Distributed Computing Methodologies in Bioinformatics.

Giuseppe Agapito

Proceedings of the Internet and Distributed Computing Systems, 2019

Parallel Learning of Weighted Association Rules in Human Phenotype Ontology.

Giuseppe Agapito, Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano

Proceedings of the Euro-Par 2019: Parallel Processing Workshops, 2019

Learning Weighted Association Rules in Human Phenotype Ontology.

Giuseppe Agapito, Mario Cannataro, Pietro H. Guzzi, Marianna Milano

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2019

Mining Association Rules From Disease Ontology.

Giuseppe Agapito, Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Pathway Analysis for SNP microarray data.

Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Association Rule Mining from large datasets of clinical invoices document.

Giuseppe Agapito, Barbara Calabrese, Pietro Hiram Guzzi, Sabrina Graziano, Mario Cannataro

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Using GMQL-Web for Querying, Downloading and Integrating Public with Private Genomic Datasets.

Marzia Settino, Anna Bernasconi, Gaia Ceddia, Giuseppe Agapito, Marco Masseroli, Mario Cannataro

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

Challenges and Opportunities of Amazon Serverless Lambda Services in Bioinformatics.

Rodrigo Crespo-Cepeda, Giuseppe Agapito, José Luis Vázquez-Poletti, Mario Cannataro

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

ParBio'19 - 8th Workshop on Parallel and Cloud-based Bioinformatics and Biomedicine.

Giuseppe Agapito, Wes Lloyd, Mario Cannataro

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

A pipeline for mining association rules from large datasets of retailers invoices.

Giuseppe Agapito, Barbara Calabrese, Pietro Hiram Guzzi, Mario Cannataro

Proceedings of the 2nd International Conference on Applications of Intelligent Systems, 2019

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

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

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

S4S: RESTful Services to Collect, Integrate and Analyze SNPs and Clinical Data on the Web.

Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

ACM-BCB 2018 ParBio Chairs' Welcome & Organization.

Giuseppe Agapito, Wes Lloyd

Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

Services4SNPs: A RESTful Platform for Association Rule Mining and Survival Analysis of Genotyping Data.

Giuseppe Agapito, Mario Cannataro

Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

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

Parallel and Distributed Analysis of Microarray Data.

Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro

Proceedings of the Big Data and HPC: Ecosystem and Convergence, TopHPC 2017, 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

Proceedings of the 2nd International Workshop on Health Recommender Systems co-located with the 11th International Conference on Recommender Systems (RecSys 2017), 2017

Learning Association Rules for Pharmacogenomic Studies.

Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro

Proceedings of the New Frontiers in Mining Complex Patterns - 6th International Workshop, 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

Proceedings of the 25th Euromicro International Conference on Parallel, 2017

High Performance Analysis of Omics Data: Experiences at University Magna Graecia of Catanzaro.

Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro

Proceedings of the 2017 International Conference on High Performance Computing & Simulation, 2017

10^th Workshop on Biomedical and Bioinformatics Challenges for Computer Science - BBC2017.

Giuseppe Agapito, Mario Cannataro, Mauro Castelli, Riccardo Dondi, Italo Zoppis

Proceedings of the International Conference on Computational Science, 2017

A software pipeline for multiple microarray data analysis.

Giuseppe Agapito, Mario Cannataro

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Using GenotypeAnalytics to Analyze Pharmacogenomic Datasets.

Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro

Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

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

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

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

Proceedings of the 12th IEEE International Conference on Wireless and Mobile Computing, 2016

Efficient Data Mining Analysis of Genomics and Clinical Data for Pharmacogenomics Applications.

Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro

Proceedings of the Fuzzy Logic and Soft Computing Applications, 2016

Computational challenges for sentiment analysis in life sciences.

F. Ciullo, Chiara Zucco, Barbara Calabrese, Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro

Proceedings of the International Conference on High Performance Computing & Simulation, 2016

2015

DMET-Miner: Efficient discovery of association rules from pharmacogenomic data.

Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro

J. Biomed. Informatics, 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

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

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Efficient learning of association rules from human phenotype ontology.

Giuseppe Agapito, Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro

Proceedings of the 6th ACM Conference on Bioinformatics, 2015

2014

coreSNP: Parallel Processing of Microarray Data.

Pietro Hiram Guzzi, Giuseppe Agapito, Mario Cannataro

IEEE Trans. Computers, 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

Proceedings of the International Conference on High Performance Computing & Simulation, 2014

GO-WAR: A Tool for Mining Weighted Association Rules from Gene Ontology Annotations.

Giuseppe Agapito, Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2014

Biases in information content measurement of gene ontology terms.

Marianna Milano, Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 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

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

Improving annotation quality in gene ontology by mining cross-ontology weighted association rules.

Giuseppe Agapito, Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

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

Visualization of protein interaction networks: problems and solutions.

Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro

BMC Bioinform., 2013

Cloud4SNP: Distributed Analysis of SNP Microarray Data on the Cloud.

Giuseppe Agapito, Mario Cannataro, Pietro Hiram Guzzi, Fabrizio Marozzo, Domenico Talia, Paolo Trunfio

Proceedings of the ACM Conference on Bioinformatics, 2013

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

2010

Clustering XML Documents: a Distributed Collaborative Approach (Extended Abstract).

Sergio Greco, Francesco Gullo, Giovanni Ponti, Andrea Tagarelli, Giuseppe Agapito

Proceedings of the Eighteenth Italian Symposium on Advanced Database Systems, 2010