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ORCIDGiuseppe Agapito
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2020 – today
- 2024
[c52]Giuseppe Agapito
, Mario Cannataro, Wes J. Lloyd, Chiara Zucco:
13th Workshop on Parallel and AI-based Bioinformatics and Biomedicine (ParBio): Editorial. BCB 2024: 95:1- [c51]Giuseppe Agapito, Marianna Milano, Francesca Scionti, Nicoletta Staropoli, Pierfrancesco Tassone, Pierosandro Tagliaferri, Mario Cannataro, Mariamena Arbitrio:
Modeling UGT2B7 and NR1I3 genes through multilayer network to highlight hidden link with taxane neurotoxicity. BIBM 2024: 4331-4337 - [c50]Giuseppe Agapito, Mario Cannataro, Gaetano Guardasole:
Multi Weighted Graphs as Magnifier to Discover Hidden Cross-Interactions among Biological Pathways. BIBM 2024: 4338-4345 - [c49]Luca Barillaro, Marianna Milano, Giuseppe Agapito, Mario Cannataro:
A Graph Neural Network based fMRI classification. BIBM 2024: 6899-6906 - [c48]Luca Barillaro, Marianna Milano, Maria Eugenia Caligiuri, Jelle R. Dalenberg, Giuseppe Agapito, Michael Biehl, Mario Cannataro:
A Graph-Theory Based fMRI Analysis. ICCS (6) 2024: 72-85 - [c47]Giuseppe Agapito, Gaetano Guardasole, Mario Cannataro:
Efficient GPU Processing Method to Analyze Large GWAS Data Sets. PDP 2024: 260-265 - 2023
- [j24]Giuseppe Agapito, Mario Cannataro:
An Overview on the Challenges and Limitations Using Cloud Computing in Healthcare Corporations. Big Data Cogn. Comput. 7(2): 68 (2023) - [c46]Giuseppe Agapito, Mario Cannataro, Pietro Cinaglia, Gaetano Guardasole, Marianna Milano:
Use Predictive Learning Model to Tackle Data Breaches in Healthcare Domain. BIBM 2023: 3273-3279 - [c45]Gessica Fulciniti, Abdellah Kabli, Mario Cannataro, Gaetano Guardasole, Giuseppe Agapito:
Artificial Intelligence to Analyze Huge Amounts of Juridical Documents via Edge Computing. EWSN 2023: 351-356 - [c44]Luca Barillaro, Giuseppe Agapito:
Deep Learning Methods for fMRI Classification. NUMTA (3) 2023: 15-25 - [c43]Luca Barillaro, Giuseppe Agapito, Mario Cannataro:
Using Edge-based Deep Learning Model for Early Detection of Cancer. PDP 2023: 252-257 - [c42]Luca Barillaro, Giuseppe Agapito, Mario Cannataro:
High performance deep learning libraries for biomedical applications. PDP 2023: 271-274 - [e1]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:
Current Trends in Web Engineering - ICWE 2022 International Workshops, BECS, SWEET and WALS, Bari, Italy, July 5-8, 2022, Revised Selected Papers. Communications in Computer and Information Science 1668, Springer 2023, ISBN 978-3-031-25379-9 [contents] - 2022
- [j23]Giuseppe Agapito, Chiara Pastrello, Yun Niu, Igor Jurisica:
Pathway integration and annotation: building a puzzle with non-matching pieces and no reference picture. Briefings Bioinform. 23(5) (2022) - [j22]Giuseppe Agapito, Marianna Milano, Mario Cannataro:
A statistical network pre-processing method to improve relevance and significance of gene lists in microarray gene expression studies. BMC Bioinform. 23-S(6): 393 (2022) - [j21]Davide Chicco, Giuseppe Agapito:
Nine quick tips for pathway enrichment analysis. PLoS Comput. Biol. 18(8) (2022) - [j20]Giuseppe Agapito, Marianna Milano, Mario Cannataro:
Parallel Network Analysis and Communities Detection (PANC) Pipeline for the Analysis and Visualization of COVID-19 Data. Parallel Process. Lett. 32(1&2): 2142002:1-2142002:20 (2022) - [c41]Luca Barillaro, Giuseppe Agapito, Mario Cannataro:
Scalable deep learning for healthcare: methods and applications. BCB 2022: 73:1-73:8 - [c40]Luca Barillaro, Giuseppe Agapito, Mario Cannataro:
Edge-based Deep Learning in Medicine: Classification of ECG signals. BIBM 2022: 2169-2174 - [c39]Giuseppe Agapito, Mario Cannataro:
A parallel software pipeline to select relevant genes for pathway enrichment. PDP 2022: 219-225 - [p1]Giuseppe Agapito:
Using Association Rules to Mine Actionable Knowledge from Internet of Medical Thinks Data. Integrating Artificial Intelligence and IoT for Advanced Health Informatics 2022: 161-170 - 2021
- [j19]Giuseppe Agapito, Chiara Pastrello, Igor Jurisica:
Comprehensive pathway enrichment analysis workflows: COVID-19 case study. Briefings Bioinform. 22(2): 676-689 (2021) - [j18]Giuseppe Agapito, Mario Cannataro:
Using BioPAX-Parser (BiP) to enrich lists of genes or proteins with pathway data. BMC Bioinform. 22-S(13): 376 (2021) - [j17]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Parallel and distributed association rule mining in life science: A novel parallel algorithm to mine genomics data. Inf. Sci. 575: 747-761 (2021) - [j16]Marzia Settino, Mariamena Arbitrio, Francesca Scionti, Daniele Caracciolo, Giuseppe Agapito, Pierfrancesco Tassone, Pierosandro Tagliaferri, Maria Teresa Di Martino, Mario Cannataro:
Identifying prognostic markers for multiple myeloma through integration and analysis of MMRF-CoMMpass data. J. Comput. Sci. 51: 101346 (2021) - [c38]Giuseppe Agapito, Mario Cannataro:
snpStorage: a database to store and share experimental SNPs data sets. SEBD 2021: 48-58 - 2020
- [j15]Giuseppe Agapito, Chiara Pastrello, Pietro Hiram Guzzi, Igor Jurisica, Mario Cannataro:
BioPAX-Parser: parsing and enrichment analysis of BioPAX pathways. Bioinform. 36(15): 4377-4378 (2020) - [j14]Giuseppe Agapito, Mario Cannataro:
cPEA: a parallel method to perform pathway enrichment analysis using multiple pathways databases. Soft Comput. 24(23): 17561-17572 (2020) - [j13]Chiara Zucco, Barbara Calabrese, Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Sentiment analysis for mining texts and social networks data: Methods and tools. WIREs Data Mining Knowl. Discov. 10(1) (2020) - [c37]Giuseppe Agapito, Mario Cannataro:
Using BioPAX-Parser (BiP) to Annotate Lists of Biological Entities with Pathway Data. ER (Workshops) 2020: 92-101 - [c36]Giuseppe Agapito, Marianna Milano, Mario Cannataro:
A New Parallel Methodology for the Network Analysis of COVID-19 Data. Euro-Par Workshops 2020: 333-343 - [c35]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
An efficient and scalable SPARK preprocessing methodology for Genome Wide Association Studies. PDP 2020: 369-375
2010 – 2019
- 2019
- [j12]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Parallel extraction of association rules from genomics data. Appl. Math. Comput. 350: 434-446 (2019) - [c34]Giuseppe Agapito, Barbara Calabrese, Pietro Hiram Guzzi, Mario Cannataro:
A pipeline for mining association rules from large datasets of retailers invoices. APPIS 2019: 6:1-6:6 - [c33]Giuseppe Agapito, Wes Lloyd, Mario Cannataro:
ParBio'19 - 8th Workshop on Parallel and Cloud-based Bioinformatics and Biomedicine. BCB 2019: 652 - [c32]Rodrigo Crespo-Cepeda, Giuseppe Agapito, José Luis Vázquez-Poletti, Mario Cannataro:
Challenges and Opportunities of Amazon Serverless Lambda Services in Bioinformatics. BCB 2019: 663-668 - [c31]Marzia Settino, Anna Bernasconi, Gaia Ceddia, Giuseppe Agapito, Marco Masseroli, Mario Cannataro:
Using GMQL-Web for Querying, Downloading and Integrating Public with Private Genomic Datasets. BCB 2019: 688-693 - [c30]Giuseppe Agapito, Barbara Calabrese, Pietro Hiram Guzzi, Sabrina Graziano, Mario Cannataro:
Association Rule Mining from large datasets of clinical invoices document. BIBM 2019: 2232-2238 - [c29]Giuseppe Agapito, Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
Mining Association Rules From Disease Ontology. BIBM 2019: 2239-2243 - [c28]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Pathway Analysis for SNP microarray data. BIBM 2019: 2244-2250 - [c27]Giuseppe Agapito, Mario Cannataro, Pietro H. Guzzi, Marianna Milano:
Learning Weighted Association Rules in Human Phenotype Ontology. CIBB 2019: 245-256 - [c26]Giuseppe Agapito, Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano:
Parallel Learning of Weighted Association Rules in Human Phenotype Ontology. Euro-Par Workshops 2019: 549-559 - [c25]Giuseppe Agapito:
Parallel and Distributed Computing Methodologies in Bioinformatics. IDCS 2019: 498-507 - [c24]Giuseppe Agapito, Mario Cannataro:
A Parallel Software Platform for Pathway Enrichment. NUMTA(1) 2019: 215-222 - [r7]Giuseppe Agapito:
Standards and Models for Biological Data: SBML. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 142-146 - [r6]Giuseppe Agapito:
Standards and Models for Biological Data: BioPAX. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 147-153 - [r5]Mario Cannataro, Giuseppe Agapito:
Computing for Bioinformatics. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 160-175 - [r4]Giuseppe Agapito:
Computing Languages for Bioinformatics: Perl. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 176-186 - [r3]Giuseppe Agapito:
Computing Languages for Bioinformatics: BioPerl. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 187-194 - [r2]Giuseppe Agapito:
Biological Pathways. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 1047-1062 - [r1]Giuseppe Agapito:
Visualization of Biological Pathways. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 1085-1091 - 2018
- [j11]Giuseppe Agapito, Mariadelina Simeoni, Barbara Calabrese, Ilaria Care, Theodora Lamprinoudi, Pietro Hiram Guzzi, Arturo Pujia, Giorgio Fuiano, Mario Cannataro:
DIETOS: A dietary recommender system for chronic diseases monitoring and management. Comput. Methods Programs Biomed. 153: 93-104 (2018) - [j10]Giuseppe Agapito, Mario Cannataro, Mauro Castelli, Riccardo Dondi, Italo Zoppis:
Editorial of the Special Issue of the 10th Workshop on Biomedical and Bioinformatics Challenges for Computer Science - BBC 2017. Comput. 7(1): 17 (2018) - [j9]Marianna Milano, Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
An experimental study of information content measurement of gene ontology terms. Int. J. Mach. Learn. Cybern. 9(3): 427-439 (2018) - [c23]Giuseppe Agapito, Mario Cannataro:
Services4SNPs: A RESTful Platform for Association Rule Mining and Survival Analysis of Genotyping Data. BCB 2018: 517 - [c22]Giuseppe Agapito, Wes Lloyd:
ACM-BCB 2018 ParBio Chairs' Welcome & Organization. BCB 2018: 687-688 - [c21]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
S4S: RESTful Services to Collect, Integrate and Analyze SNPs and Clinical Data on the Web. BIBM 2018: 1686-1692 - 2017
- [c20]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Using GenotypeAnalytics to Analyze Pharmacogenomic Datasets. BCB 2017: 740-743 - [c19]Giuseppe Agapito, Mario Cannataro:
A software pipeline for multiple microarray data analysis. BIBM 2017: 1941-1944 - [c18]Giuseppe Agapito, Mario Cannataro, Mauro Castelli, Riccardo Dondi, Italo Zoppis:
10th Workshop on Biomedical and Bioinformatics Challenges for Computer Science - BBC2017. ICCS 2017: 1113-1114 - [c17]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
High Performance Analysis of Omics Data: Experiences at University Magna Graecia of Catanzaro. HPCS 2017: 929-932 - [c16]Giuseppe Agapito, Barbara Calabrese, Pietro Hiram Guzzi, Gionata Fragomeni, Giuseppe Tradigo, Pierangelo Veltri, Mario Cannataro:
Parallel and Cloud-Based Analysis of Omics Data: Modelling and Simulation in Medicine. PDP 2017: 519-526 - [c15]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Learning Association Rules for Pharmacogenomic Studies. NFMCP@PKDD/ECML 2017: 1-15 - [c14]Giuseppe Agapito, Mariadelina Simeoni, Barbara Calabrese, Pietro Hiram Guzzi, Giorgio Fuiano, Mario Cannataro:
DIETOS: A Recommender System for Health Profiling and Diet Management in Chronic Diseases. HealthRecSys@RecSys 2017: 32-35 - [c13]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Parallel and Distributed Analysis of Microarray Data. TopHPC 2017: 275-288 - [i2]Pietro Hiram Guzzi, Giuseppe Agapito, Marianna Milano, Mario Cannataro:
Learning Weighted Association Rules in Human Phenotype Ontology. CoRR abs/1701.00077 (2017) - [i1]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
GenotypeAnalytics: a RESTFul platform to mine multiple associations between SNPs and drug response in case-control studies. PeerJ Prepr. 5: e3299 (2017) - 2016
- [j8]Pietro Hiram Guzzi, Giuseppe Agapito, Marianna Milano, Mario Cannataro:
Methodologies and experimental platforms for generating and analysing microarray and mass spectrometry-based omics data to support P4 medicine. Briefings Bioinform. 17(4): 553-561 (2016) - [j7]Giuseppe Agapito, Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
Extracting Cross-Ontology Weighted Association Rules from Gene Ontology Annotations. IEEE ACM Trans. Comput. Biol. Bioinform. 13(2): 197-208 (2016) - [c12]F. Ciullo, Chiara Zucco, Barbara Calabrese, Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Computational challenges for sentiment analysis in life sciences. HPCS 2016: 419-426 - [c11]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Efficient Data Mining Analysis of Genomics and Clinical Data for Pharmacogenomics Applications. WILF 2016: 239-248 - [c10]Giuseppe Agapito, Barbara Calabrese, Pietro Hiram Guzzi, Mario Cannataro, Mariadelina Simeoni, Ilaria Care, Theodora Lamprinoudi, Giorgio Fuiano, Arturo Pujia:
DIETOS: A recommender system for adaptive diet monitoring and personalized food suggestion. WiMob 2016: 1-8 - 2015
- [j6]Giuseppe Agapito, Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano:
Using GO-WAR for mining cross-ontology weighted association rules. Comput. Methods Programs Biomed. 120(2): 113-122 (2015) - [j5]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
DMET-Miner: Efficient discovery of association rules from pharmacogenomic data. J. Biomed. Informatics 56: 273-283 (2015) - [c9]Giuseppe Agapito, Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
Efficient learning of association rules from human phenotype ontology. BCB 2015: 568-573 - [c8]Giuseppe Agapito, Pietro Hiram Guzzi, C. Botta, Mariamena Arbitrio, Pierfrancesco Tassone, Pierosandro Tagliaferri, Mario Cannataro:
Overall Survival Analyzer: A software tool to analyze genotyping and clinical data enriched with temporal events. BIBM 2015: 1427-1433 - 2014
- [j4]Pietro Hiram Guzzi, Giuseppe Agapito, Mario Cannataro:
coreSNP: Parallel Processing of Microarray Data. IEEE Trans. Computers 63(12): 2961-2974 (2014) - [c7]Giuseppe Agapito, Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
Improving annotation quality in gene ontology by mining cross-ontology weighted association rules. BIBM 2014: 1-8 - [c6]Marianna Milano, Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Biases in information content measurement of gene ontology terms. BIBM 2014: 9-16 - [c5]Pietro Hiram Guzzi, Giuseppe Agapito, Maria Teresa Di Martino, Mariamena Arbitrio, Pierfrancesco Tassone, Pierosandro Tagliaferri, Mario Cannataro:
DMET-miner: Efficient learning of association rules from genotyping data for personalized medicine. BIBM 2014: 59-62 - [c4]Giuseppe Agapito, Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano:
GO-WAR: A Tool for Mining Weighted Association Rules from Gene Ontology Annotations. CIBB 2014: 3-18 - [c3]Giuseppe Agapito, Barbara Calabrese, Ilaria Care, Daniela Falcone, Pietro Hiram Guzzi, Nicola Ielpo, Theodora Lamprinoudi, Marianna Milano, Mariadelina Simeoni, Mario Cannataro:
Profiling basic health information of tourists: towards a recommendation system for the adaptive delivery of medical certified nutrition contents. HPCS 2014: 616-620 - 2013
- [j3]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Visualization of protein interaction networks: problems and solutions. BMC Bioinform. 14(S-1): S1 (2013) - [j2]Chiara Pastrello, David Otasek, Kristen Fortney, Giuseppe Agapito, Mario Cannataro, Elize Shirdel, Igor Jurisica:
Visual Data Mining of Biological Networks: One Size Does Not Fit All. PLoS Comput. Biol. 9(1) (2013) - [c2]Giuseppe Agapito, Mario Cannataro, Pietro Hiram Guzzi, Fabrizio Marozzo, Domenico Talia, Paolo Trunfio:
Cloud4SNP: Distributed Analysis of SNP Microarray Data on the Cloud. BCB 2013: 468 - 2012
- [j1]Pietro Hiram Guzzi, Giuseppe Agapito, Maria Teresa Di Martino, Mariamena Arbitrio, Pierfrancesco Tassone, Pierosandro Tagliaferri, Mario Cannataro:
DMET-Analyzer: automatic analysis of Affymetrix DMET Data. BMC Bioinform. 13: 258 (2012) - 2010
- [c1]Sergio Greco, Francesco Gullo, Giovanni Ponti, Andrea Tagarelli, Giuseppe Agapito:
Clustering XML Documents: a Distributed Collaborative Approach (Extended Abstract). SEBD 2010: 406-413
Coauthor Index
[c52] [c51] [c50] [c49] [c48] [c47] [j24] [c46] [c45] [c43] [c42] [j22] [j20] [c41] [c40] [c39] [j18] [j17] [j16] [c38] [j15] [j14] [j13] [c37] [c36] [c35] [j12] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c24] [r5] [j11] [j10] [j9] [c23] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [i2] [i1] [j8] [j7] [c12] [c11] [c10] [j6] [j5] [c9] [c8] [j4] [c7] [c6] [c5] [c4] [c3] [j3] [j2] [c2] [j1]
Pietro H. Guzzi
aka: Pietro Hiram Guzzi
aka: Pietro Hiram Guzzi
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