Giuseppe Agapito

93 papers B 2C 7Misc 1Journal 29Unranked 45
YearRankTypeTitle / Venue / Authors
2026 J jnl
Computational science in bioinformatics and biomedicine: From modeling and simulation, to knowledge extraction and artificial intelligence.
J. Comput. Sci.
Mario Cannataro, Giuseppe Agapito, Mauro Castelli, Riccardo Dondi, Rodrigo Weber dos Santos, Italo Francesco Zoppis
2025 — conf
14th Workshop on Parallel and AI-based Bioinformatics and Biomedicine (ParBio): Editorial.
BCB Companion
Giuseppe Agapito, Mario Cannataro, Wes J. Lloyd, Chiara Zucco
2025 C conf
Comparative Analysis of Algorithms and Computational Architectures for Efficient Biological Data Processing.
PDP
Giuseppe Agapito, Gaetano Guardasole, Mario Cannataro
2025 — conf
Evaluating GNN Inference on Edge Computers.
BCB Companion
Luca Barillaro, Chiara Zucco, Marianna Milano, Giuseppe Agapito, Mario Cannataro
2025 J jnl
Ten practical tips and tricks to improve the effectiveness of biological network alignment.
PLoS Comput. Biol.
Giuseppe Agapito, Mario Cannataro, Pietro Cinaglia, Marianna Milano
2024 — conf
13th Workshop on Parallel and AI-based Bioinformatics and Biomedicine (ParBio): Editorial.
BCB
Giuseppe Agapito, Mario Cannataro, Wes J. Lloyd, Chiara Zucco
2024 — conf
A Graph Neural Network based fMRI classification.
BIBM
Luca Barillaro, Marianna Milano, Giuseppe Agapito, Mario Cannataro
2024 — conf
A Graph-Theory Based fMRI Analysis.
ICCS (6)
Luca Barillaro, Marianna Milano, Maria Eugenia Caligiuri, Jelle R. Dalenberg, Giuseppe Agapito, Michael Biehl, Mario Cannataro
2024 J jnl
Editorial: Multi-omics approaches in the study of human disease mechanisms.
Frontiers Bioinform.
Dapeng Wang, Giuseppe Agapito
2024 C conf
Efficient GPU Processing Method to Analyze Large GWAS Data Sets.
PDP
Giuseppe Agapito, Gaetano Guardasole, Mario Cannataro
2024 — conf
Modeling UGT2B7 and NR1I3 genes through multilayer network to highlight hidden link with taxane neurotoxicity.
BIBM
Giuseppe Agapito, Marianna Milano, Francesca Scionti, Nicoletta Staropoli, Pierfrancesco Tassone, Pierosandro Tagliaferri, Mario Cannataro, Mariamena Arbitrio
2024 — conf
Multi Weighted Graphs as Magnifier to Discover Hidden Cross-Interactions among Biological Pathways.
BIBM
Giuseppe Agapito, Mario Cannataro, Gaetano Guardasole
2023 J jnl
An Overview on the Challenges and Limitations Using Cloud Computing in Healthcare Corporations.
Big Data Cogn. Comput.
Giuseppe Agapito, Mario Cannataro
2023 B conf
Artificial Intelligence to Analyze Huge Amounts of Juridical Documents via Edge Computing.
EWSN
Gessica Fulciniti, Abdellah Kabli, Mario Cannataro, Gaetano Guardasole, Giuseppe Agapito
2023 — ed.
Current Trends in Web Engineering - ICWE 2022 International Workshops, BECS, SWEET and WALS, Bari, Italy, July 5-8, 2022, Revised Selected Papers
ICWE Workshops
Giuseppe Agapito, Anna Bernasconi, Cinzia Cappiello, Hasan Ali Khattak, In-Young Ko, Giuseppe Loseto, Michael Mrissa, Luca Nanni, Pietro Pinoli, Azzurra Ragone, Michele Ruta, Floriano Scioscia, Abhishek Srivastava
2023 — conf
Deep Learning Methods for fMRI Classification.
NUMTA (3)
Luca Barillaro, Giuseppe Agapito
2023 C conf
High performance deep learning libraries for biomedical applications.
PDP
Luca Barillaro, Giuseppe Agapito, Mario Cannataro
2023 — conf
Use Predictive Learning Model to Tackle Data Breaches in Healthcare Domain.
BIBM
Giuseppe Agapito, Mario Cannataro, Pietro Cinaglia, Gaetano Guardasole, Marianna Milano
2023 C conf
Using Edge-based Deep Learning Model for Early Detection of Cancer.
PDP
Luca Barillaro, Giuseppe Agapito, Mario Cannataro
2022 C conf
A parallel software pipeline to select relevant genes for pathway enrichment.
PDP
Giuseppe Agapito, Mario Cannataro
2022 J jnl
A statistical network pre-processing method to improve relevance and significance of gene lists in microarray gene expression studies.
BMC Bioinform.
Giuseppe Agapito, Marianna Milano, Mario Cannataro
2022 — conf
Edge-based Deep Learning in Medicine: Classification of ECG signals.
BIBM
Luca Barillaro, Giuseppe Agapito, Mario Cannataro
2022 J jnl
Nine quick tips for pathway enrichment analysis.
PLoS Comput. Biol.
Davide Chicco, Giuseppe Agapito
2022 J jnl
Parallel Network Analysis and Communities Detection (PANC) Pipeline for the Analysis and Visualization of COVID-19 Data.
Parallel Process. Lett.
Giuseppe Agapito, Marianna Milano, Mario Cannataro
2022 J jnl
Pathway integration and annotation: building a puzzle with non-matching pieces and no reference picture.
Briefings Bioinform.
Giuseppe Agapito, Chiara Pastrello, Yun Niu, Igor Jurisica
2022 — conf
Scalable deep learning for healthcare: methods and applications.
BCB
Luca Barillaro, Giuseppe Agapito, Mario Cannataro
2022 — ch.
Using Association Rules to Mine Actionable Knowledge from Internet of Medical Thinks Data.
Integrating Artificial Intelligence and IoT for Advanced Health Informatics
Giuseppe Agapito
2021 J jnl
Comprehensive pathway enrichment analysis workflows: COVID-19 case study.
Briefings Bioinform.
Giuseppe Agapito, Chiara Pastrello, Igor Jurisica
2021 J jnl
Identifying prognostic markers for multiple myeloma through integration and analysis of MMRF-CoMMpass data.
J. Comput. Sci.
Marzia Settino, Mariamena Arbitrio, Francesca Scionti, Daniele Caracciolo, Giuseppe Agapito, Pierfrancesco Tassone, Pierosandro Tagliaferri, Maria Teresa Di Martino, Mario Cannataro
2021 J jnl
Parallel and distributed association rule mining in life science: A novel parallel algorithm to mine genomics data.
Inf. Sci.
Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro
2021 J jnl
Using BioPAX-Parser (BiP) to enrich lists of genes or proteins with pathway data.
BMC Bioinform.
Giuseppe Agapito, Mario Cannataro
2021 — conf
snpStorage: a database to store and share experimental SNPs data sets.
SEBD
Giuseppe Agapito, Mario Cannataro
2020 — conf
A New Parallel Methodology for the Network Analysis of COVID-19 Data.
Euro-Par Workshops
Giuseppe Agapito, Marianna Milano, Mario Cannataro
2020 C conf
An efficient and scalable SPARK preprocessing methodology for Genome Wide Association Studies.
PDP
Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro
2020 J jnl
BioPAX-Parser: parsing and enrichment analysis of BioPAX pathways.
Bioinform.
Giuseppe Agapito, Chiara Pastrello, Pietro Hiram Guzzi, Igor Jurisica, Mario Cannataro
2020 J jnl
Sentiment analysis for mining texts and social networks data: Methods and tools.
WIREs Data Mining Knowl. Discov.
Chiara Zucco, Barbara Calabrese, Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro
2020 — conf
Using BioPAX-Parser (BiP) to Annotate Lists of Biological Entities with Pathway Data.
ER (Workshops)
Giuseppe Agapito, Mario Cannataro
2020 J jnl
cPEA: a parallel method to perform pathway enrichment analysis using multiple pathways databases.
Soft Comput.
Giuseppe Agapito, Mario Cannataro
2019 — conf
A Parallel Software Platform for Pathway Enrichment.
NUMTA(1)
Giuseppe Agapito, Mario Cannataro
2019 — conf
A pipeline for mining association rules from large datasets of retailers invoices.
APPIS
Giuseppe Agapito, Barbara Calabrese, Pietro Hiram Guzzi, Mario Cannataro
2019 — conf
Association Rule Mining from large datasets of clinical invoices document.
BIBM
Giuseppe Agapito, Barbara Calabrese, Pietro Hiram Guzzi, Sabrina Graziano, Mario Cannataro
2019 — ch.
Biological Pathways.
Encyclopedia of Bioinformatics and Computational Biology (1)
Giuseppe Agapito
2019 — conf
Challenges and Opportunities of Amazon Serverless Lambda Services in Bioinformatics.
BCB
Rodrigo Crespo-Cepeda, Giuseppe Agapito, José Luis Vázquez-Poletti, Mario Cannataro
2019 — ch.
Computing Languages for Bioinformatics: BioPerl.
Encyclopedia of Bioinformatics and Computational Biology (1)
Giuseppe Agapito
2019 — ch.
Computing Languages for Bioinformatics: Perl.
Encyclopedia of Bioinformatics and Computational Biology (1)
Giuseppe Agapito
2019 — ch.
Computing for Bioinformatics.
Encyclopedia of Bioinformatics and Computational Biology (1)
Mario Cannataro, Giuseppe Agapito
2019 — conf
Learning Weighted Association Rules in Human Phenotype Ontology.
CIBB
Giuseppe Agapito, Mario Cannataro, Pietro H. Guzzi, Marianna Milano
2019 — conf
Mining Association Rules From Disease Ontology.
BIBM
Giuseppe Agapito, Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro
2019 — conf
ParBio'19 - 8th Workshop on Parallel and Cloud-based Bioinformatics and Biomedicine.
BCB
Giuseppe Agapito, Wes Lloyd, Mario Cannataro
2019 — conf
Parallel Learning of Weighted Association Rules in Human Phenotype Ontology.
Euro-Par Workshops
Giuseppe Agapito, Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano
2019 — conf
Parallel and Distributed Computing Methodologies in Bioinformatics.
IDCS
Giuseppe Agapito
2019 J jnl
Parallel extraction of association rules from genomics data.
Appl. Math. Comput.
Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro
2019 — conf
Pathway Analysis for SNP microarray data.
BIBM
Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro
2019 — ch.
Standards and Models for Biological Data: BioPAX.
Encyclopedia of Bioinformatics and Computational Biology (1)
Giuseppe Agapito
2019 — ch.
Standards and Models for Biological Data: SBML.
Encyclopedia of Bioinformatics and Computational Biology (1)
Giuseppe Agapito
2019 — conf
Using GMQL-Web for Querying, Downloading and Integrating Public with Private Genomic Datasets.
BCB
Marzia Settino, Anna Bernasconi, Gaia Ceddia, Giuseppe Agapito, Marco Masseroli, Mario Cannataro
2019 — ch.
Visualization of Biological Pathways.
Encyclopedia of Bioinformatics and Computational Biology (1)
Giuseppe Agapito
2018 — conf
ACM-BCB 2018 ParBio Chairs' Welcome & Organization.
BCB
Giuseppe Agapito, Wes Lloyd
2018 J jnl
An experimental study of information content measurement of gene ontology terms.
Int. J. Mach. Learn. Cybern.
Marianna Milano, Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro
2018 J jnl
DIETOS: A dietary recommender system for chronic diseases monitoring and management.
Comput. Methods Programs Biomed.
Giuseppe Agapito, Mariadelina Simeoni, Barbara Calabrese, Ilaria Care, Theodora Lamprinoudi, Pietro Hiram Guzzi, Arturo Pujia, Giorgio Fuiano, Mario Cannataro
2018 J jnl
Editorial of the Special Issue of the 10th Workshop on Biomedical and Bioinformatics Challenges for Computer Science - BBC 2017.
Comput.
Giuseppe Agapito, Mario Cannataro, Mauro Castelli, Riccardo Dondi, Italo Zoppis
2018 — conf
S4S: RESTful Services to Collect, Integrate and Analyze SNPs and Clinical Data on the Web.
BIBM
Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro
2018 — conf
Services4SNPs: A RESTful Platform for Association Rule Mining and Survival Analysis of Genotyping Data.
BCB
Giuseppe Agapito, Mario Cannataro
2017 Misc conf
10
ICCS
Giuseppe Agapito, Mario Cannataro, Mauro Castelli, Riccardo Dondi, Italo Zoppis
2017 — conf
A software pipeline for multiple microarray data analysis.
BIBM
Giuseppe Agapito, Mario Cannataro
2017 — conf
DIETOS: A Recommender System for Health Profiling and Diet Management in Chronic Diseases.
HealthRecSys@RecSys
Giuseppe Agapito, Mariadelina Simeoni, Barbara Calabrese, Pietro Hiram Guzzi, Giorgio Fuiano, Mario Cannataro
2017 J jnl
GenotypeAnalytics: a RESTFul platform to mine multiple associations between SNPs and drug response in case-control studies.
PeerJ Prepr.
Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro
2017 — conf
High Performance Analysis of Omics Data: Experiences at University Magna Graecia of Catanzaro.
HPCS
Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro
2017 — conf
Learning Association Rules for Pharmacogenomic Studies.
NFMCP@PKDD/ECML
Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro
2017 J jnl
Learning Weighted Association Rules in Human Phenotype Ontology.
CoRR
Pietro Hiram Guzzi, Giuseppe Agapito, Marianna Milano, Mario Cannataro
2017 C conf
Parallel and Cloud-Based Analysis of Omics Data: Modelling and Simulation in Medicine.
PDP
Giuseppe Agapito, Barbara Calabrese, Pietro Hiram Guzzi, Gionata Fragomeni, Giuseppe Tradigo, Pierangelo Veltri, Mario Cannataro
2017 — conf
Parallel and Distributed Analysis of Microarray Data.
TopHPC
Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro
2017 — conf
Using GenotypeAnalytics to Analyze Pharmacogenomic Datasets.
BCB
Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro
2016 — conf
Computational challenges for sentiment analysis in life sciences.
HPCS
F. Ciullo, Chiara Zucco, Barbara Calabrese, Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro
2016 B conf
DIETOS: A recommender system for adaptive diet monitoring and personalized food suggestion.
WiMob
Giuseppe Agapito, Barbara Calabrese, Pietro Hiram Guzzi, Mario Cannataro, Mariadelina Simeoni, Ilaria Care, Theodora Lamprinoudi, Giorgio Fuiano, Arturo Pujia
2016 — conf
Efficient Data Mining Analysis of Genomics and Clinical Data for Pharmacogenomics Applications.
WILF
Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro
2016 J jnl
Extracting Cross-Ontology Weighted Association Rules from Gene Ontology Annotations.
IEEE ACM Trans. Comput. Biol. Bioinform.
Giuseppe Agapito, Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro
2016 J jnl
Methodologies and experimental platforms for generating and analysing microarray and mass spectrometry-based omics data to support P4 medicine.
Briefings Bioinform.
Pietro Hiram Guzzi, Giuseppe Agapito, Marianna Milano, Mario Cannataro
2015 J jnl
DMET-Miner: Efficient discovery of association rules from pharmacogenomic data.
J. Biomed. Informatics
Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro
2015 — conf
Efficient learning of association rules from human phenotype ontology.
BCB
Giuseppe Agapito, Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro
2015 — conf
Overall Survival Analyzer: A software tool to analyze genotyping and clinical data enriched with temporal events.
BIBM
Giuseppe Agapito, Pietro Hiram Guzzi, C. Botta, Mariamena Arbitrio, Pierfrancesco Tassone, Pierosandro Tagliaferri, Mario Cannataro
2015 J jnl
Using GO-WAR for mining cross-ontology weighted association rules.
Comput. Methods Programs Biomed.
Giuseppe Agapito, Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano
2014 — conf
Biases in information content measurement of gene ontology terms.
BIBM
Marianna Milano, Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro
2014 — conf
DMET-miner: Efficient learning of association rules from genotyping data for personalized medicine.
BIBM
Pietro Hiram Guzzi, Giuseppe Agapito, Maria Teresa Di Martino, Mariamena Arbitrio, Pierfrancesco Tassone, Pierosandro Tagliaferri, Mario Cannataro
2014 — conf
GO-WAR: A Tool for Mining Weighted Association Rules from Gene Ontology Annotations.
CIBB
Giuseppe Agapito, Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano
2014 — conf
Improving annotation quality in gene ontology by mining cross-ontology weighted association rules.
BIBM
Giuseppe Agapito, Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro
2014 — conf
Profiling basic health information of tourists: towards a recommendation system for the adaptive delivery of medical certified nutrition contents.
HPCS
Giuseppe Agapito, Barbara Calabrese, Ilaria Care, Daniela Falcone, Pietro Hiram Guzzi, Nicola Ielpo, Theodora Lamprinoudi, Marianna Milano, Mariadelina Simeoni, Mario Cannataro
2014 J jnl
coreSNP: Parallel Processing of Microarray Data.
IEEE Trans. Computers
Pietro Hiram Guzzi, Giuseppe Agapito, Mario Cannataro
2013 — conf
Cloud4SNP: Distributed Analysis of SNP Microarray Data on the Cloud.
BCB
Giuseppe Agapito, Mario Cannataro, Pietro Hiram Guzzi, Fabrizio Marozzo, Domenico Talia, Paolo Trunfio
2013 J jnl
Visual Data Mining of Biological Networks: One Size Does Not Fit All.
PLoS Comput. Biol.
Chiara Pastrello, David Otasek, Kristen Fortney, Giuseppe Agapito, Mario Cannataro, Elize Shirdel, Igor Jurisica
2013 J jnl
Visualization of protein interaction networks: problems and solutions.
BMC Bioinform.
Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro
2012 J jnl
DMET-Analyzer: automatic analysis of Affymetrix DMET Data.
BMC Bioinform.
Pietro Hiram Guzzi, Giuseppe Agapito, Maria Teresa Di Martino, Mariamena Arbitrio, Pierfrancesco Tassone, Pierosandro Tagliaferri, Mario Cannataro
2010 — conf
Clustering XML Documents: a Distributed Collaborative Approach (Extended Abstract).
SEBD
Sergio Greco, Francesco Gullo, Giovanni Ponti, Andrea Tagarelli, Giuseppe Agapito