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Giuseppe De Pietro
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Publications
- 2022
- [j91]Francesco Gargiulo, Aniello Minutolo, Raffaele Guarasci, Emanuele Damiano, Giuseppe De Pietro, Hamido Fujita, Massimo Esposito:
An ELECTRA-Based Model for Neural Coreference Resolution. IEEE Access 10: 75144-75157 (2022) - 2021
- [j79]Rosario Catelli, Francesco Gargiulo, Valentina Casola, Giuseppe De Pietro, Hamido Fujita, Massimo Esposito:
A Novel COVID-19 Data Set and an Effective Deep Learning Approach for the De-Identification of Italian Medical Records. IEEE Access 9: 19097-19110 (2021) - [c138]Rosario Catelli, Francesco Gargiulo, Emanuele Damiano, Massimo Esposito, Giuseppe De Pietro:
Clinical de-identification using sub-document analysis and ELECTRA. ICDH 2021: 266-275 - 2020
- [j73]Rosario Catelli, Francesco Gargiulo, Valentina Casola, Giuseppe De Pietro, Hamido Fujita, Massimo Esposito:
Crosslingual named entity recognition for clinical de-identification applied to a COVID-19 Italian data set. Appl. Soft Comput. 97(Part): 106779 (2020) - [c133]Stefano Silvestri, Francesco Gargiulo, Mario Ciampi, Giuseppe De Pietro:
Exploit Multilingual Language Model at Scale for ICD-10 Clinical Text Classification. ISCC 2020: 1-7 - 2019
- [j64]Francesco Gargiulo, Stefano Silvestri, Mario Ciampi, Giuseppe De Pietro:
Deep neural network for hierarchical extreme multi-label text classification. Appl. Soft Comput. 79: 125-138 (2019) - [c127]Stefano Silvestri, Angelo Esposito, Francesco Gargiulo, Mario Sicuranza, Mario Ciampi, Giuseppe De Pietro:
A Big Data Architecture for the Extraction and Analysis of EHR Data. SERVICES 2019: 283-288 - 2017
- [c113]Francesco Gargiulo, Stefano Silvestri, Mariarosaria Fontanella, Mario Ciampi, Giuseppe De Pietro:
A Deep Learning Approach for Scientific Paper Semantic Ranking. IIMSS 2017: 471-481
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last updated on 2024-03-13 02:50 CET by the dblp team
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