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High Performance Analysis of Omics Data: Experiences at University Magna Graecia of Catanzaro., , and . HPCS, page 929-932. IEEE, (2017)Efficient learning of association rules from human phenotype ontology., , , and . BCB, page 568-573. ACM, (2015)DMET-Miner: Efficient discovery of association rules from pharmacogenomic data., , and . J. Biomed. Informatics, (2015)Parallel Learning of Weighted Association Rules in Human Phenotype Ontology., , , and . Euro-Par Workshops, volume 11997 of Lecture Notes in Computer Science, page 549-559. Springer, (2019)A New Parallel Methodology for the Network Analysis of COVID-19 Data., , and . Euro-Par Workshops, volume 12480 of Lecture Notes in Computer Science, page 333-343. Springer, (2020)Association Rule Mining from large datasets of clinical invoices document., , , , and . BIBM, page 2232-2238. IEEE, (2019)Improving annotation quality in gene ontology by mining cross-ontology weighted association rules., , , and . BIBM, page 1-8. IEEE Computer Society, (2014)Computational challenges for sentiment analysis in life sciences., , , , , and . HPCS, page 419-426. IEEE, (2016)Parallel and Cloud-Based Analysis of Omics Data: Modelling and Simulation in Medicine., , , , , , and . PDP, page 519-526. IEEE Computer Society, (2017)Edge-based Deep Learning in Medicine: Classification of ECG signals., , and . BIBM, page 2169-2174. IEEE, (2022)