Fabiola De Marco | Publications
Fabiola De Marco Publications
| 2024 | |
| Articolo in rivista | |
| Analysis of 12-lead ECGs for SARS-CoV-2 detection using deep learning techniques MULTIMEDIA TOOLS AND APPLICATIONS. Pag.1-14 ISSN:1380-7501. | |
| Auriemma Citarella, A.; De Marco, F.; Di Biasi, L.; Di Chiara, L.; Tortora, G. | |
| Digital Object Identifier (DOI): 10.1007/s11042-024-19510-3 Codice identificativo SCOPUS: 2-s2.0-85195519640 | |
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| 2024 | |
| Contributo in Atti di convegno | |
| Artificial intelligence approaches for enhanced coating performance. In: Materials Research Proceedings Association of American Publishers Vol.41, Pag.300-307 ISBN:9781644903131 | |
| 27th International ESAFORM Conference on Material Forming, ESAFORM 2024 Toulouse 24-26 April | |
| Perna, A. S.; Carrino, L.; Auriemma Citarella, A.; DE MARCO, F.; Di Biasi, L.; Tortora, G.; Viscusi, A. | |
| Digital Object Identifier (DOI): 10.21741/9781644903131-34 Codice identificativo SCOPUS: 2-s2.0-85195953929 | |
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| 2024 | |
| Contributo in Atti di convegno | |
| Improving PVC Detection in ECG Signals: A Recurrent Neural Network Approach. In: Artificial Life and Evolutionary Computation - 17th Italian Workshop, WIVACE 2023, Venice, Italy, September 6-8, 2023, Revised Selected Papers Marco Villani and Stefano Cagnoni and Roberto Serra Vol.1977, Pag.256-267 ISBN:9783031574290 | |
| XVII Workshop on Artificial Life and Evolutionary Computation (WIVACE 2023) Venice 6-8 September | |
| De Marco, Fabiola; Di Biasi, Luigi; AURIEMMA CITARELLA, Alessia; Tortora, Genoveffa | |
| Versione online | |
| Digital Object Identifier (DOI): 10.1007/978-3-031-57430-6_20 Codice identificativo SCOPUS: 2-s2.0-85190385297 | |
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| 2023 | |
| Articolo in rivista | |
| Refactoring and performance analysis of the main CNN architectures: using false negative rate minimization to solve the clinical images melanoma detection problem BMC BIOINFORMATICS. Vol. 24. Pag.386-404 ISSN:1471-2105. | |
| Di Biasi, Luigi; De Marco, Fabiola; Auriemma Citarella, Alessia; Castrillón-Santana, Modesto; Barra, Paola; Tortora, Genoveffa | |
| Digital Object Identifier (DOI): 10.1186/s12859-023-05516-5 Codice identificativo ISI: WOS:001081038900001 Codice identificativo SCOPUS: 2-s2.0-85173864494 | |
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| 2023 | |
| Contributo in Atti di convegno | |
| Hybrid Approach for the Design of CNNs Using Genetic Algorithms for Melanoma Classification. In: Pattern Recognition, Computer Vision, and Image Processing. {ICPR} 2022 International Workshops and Challenges - Montreal, QC, Canada, August 21-25, 2022, Proceedings, Part {I}Vol.13643 LNCS, Pag.514-528 ISBN:978-3-031-37659-7; 978-3-031-37660-3 | |
| International Conference on Pattern Recognition Montreal, QC, Canada August 21-25, 2022 | |
| Di Biasi, Luigi; De Marco, Fabiola; AURIEMMA CITARELLA, Alessia; Barra, Paola; PIOTTO PIOTTO, Stefano; Tortora, Genoveffa | |
| Digital Object Identifier (DOI): 10.1007/978-3-031-37660-3_36 Codice identificativo SCOPUS: 2-s2.0-85171534195 | |
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| 2023 | |
| Contributo in Atti di convegno | |
| AI-based solutions for the analysis of biomedical images and signals. In: Proceedings of the Italia Intelligenza Artificiale - Thematic Workshops co-located with the 3rd {CINI} National Lab {AIIS} Conference on Artificial Intelligence (Ital {IA} 2023), Pisa, Italy, May 29-30, 2023 Pag.171-176 | |
| Proceedings of the Italia Intelligenza Artificiale - Thematic Workshops co-located with the 3rd {CINI} National Lab {AIIS} Conference on Artificial Intelligence (Ital {IA} 2023) Pisa, Italy May 29-30, 2023 | |
| De Marco, Fabiola; AURIEMMA CITARELLA, Alessia; Di Biasi, Luigi; D'Errico, Lorenzo; Francese, Rita; Mettivier, Giovanni; Staffa, Mariacarla; Tortora, Genoveffa | |
| Codice identificativo SCOPUS: 2-s2.0-85173838682 | |
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| 2023 | |
| Contributo in Atti di convegno | |
| A machine learning approach for adhesion forecasting of cold-sprayed coatings on polymer-based substrates. In: Material Forming Materials Research Forum LLC Vol.1, Pag.57-64 | |
| The 26th International ESAFORM Conference on Material Forming Cracovia Aprile 2023 | |
| PERNA Alessia, Serena; Carrino, Luigi; AURIEMMA CITARELLA, Alessia; De Marco, Fabiola; Di Biasi, Luigi; Tortora, Genoveffa; Viscusi, Antonio | |
| Versione online | |
| Digital Object Identifier (DOI): 10.21741/9781644902479-7 Codice identificativo SCOPUS: 2-s2.0-85160216342 | |
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| 2022 | |
| Articolo in rivista | |
| ENTAIL: yEt aNoTher amyloid fIbrils cLassifier BMC BIOINFORMATICS. Vol. 23. Pag.517-531 ISSN:1471-2105. | |
| Auriemma Citarella, A.; Di Biasi, L.; De Marco, F.; Tortora, G. | |
| Versione online | |
| Digital Object Identifier (DOI): 10.1186/s12859-022-05070-6 Codice identificativo ISI: WOS:000893059000002 Codice identificativo SCOPUS: 2-s2.0-85143183043 | |
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| 2022 | |
| Articolo in rivista | |
| Classification of QRS complexes to detect Premature Ventricular Contraction using machine learning techniques PLOS ONE. Vol. 17. Pag.1-19 ISSN:1932-6203. | |
| De Marco, F.; Ferrucci, F.; Risi, M.; Tortora, G. | |
| Digital Object Identifier (DOI): 10.1371/journal.pone.0268555 Codice identificativo ISI: WOS:000892314200007 Codice identificativo SCOPUS: 2-s2.0-85136103166 | |
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| 2022 | |
| Contributo in Atti di convegno | |
| Exploration of Genetic Algorithms and CNN for Melanoma Classification. In: Communications in Computer and Information Science Springer Science and Business Media Deutschland GmbH Vol.1722, Pag.135-138 ISBN:978-3-031-23928-1; 978-3-031-23929-8 | |
| 15th International Workshop on Artificial Life and Evolutionary Computation, WIVACE 2021 che 2021 | |
| Di Biasi, L.; Auriemma Citarella, A.; De Marco, F.; Risi, M.; Tortora, G.; Piotto, S. | |
| Digital Object Identifier (DOI): 10.1007/978-3-031-23929-8_13 Codice identificativo SCOPUS: 2-s2.0-85148697715 | |
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313044Identification of Morphological Patterns for the Detection of Premature Ventricular Contractions
| 2022 | |
| Contributo in Atti di convegno | |
| Identification of Morphological Patterns for the Detection of Premature Ventricular Contractions. In: 26th International Conference Information Visualisation, {IV} 2022, Vienna, Austria, July 19-22, 2022 345 E 47TH ST, NEW YORK, NY 10017 USA IEEE Pag.393-398 ISBN:978-1-6654-9007-8 | |
| 26th International Conference Information Visualisation, {IV} Vienna, Austria July 19-22, 2022 | |
| De Marco, F; Di Biasi, L; Auriemma Citarella, A; Tucci, M; Tortora, G | |
| Digital Object Identifier (DOI): 10.1109/IV56949.2022.00071 Codice identificativo ISI: WOS:000972961300060 Codice identificativo SCOPUS: 2-s2.0-85147326086 | |
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| 2021 | |
| Articolo in rivista | |
| PADD: Dynamic Distance-Graph based on Similarity Measures for GO Terms Visualization of Alzheimer and Parkinson diseases JOURNAL OF VISUAL LANGUAGES AND COMPUTING. Vol. 1. Pag.19-28 ISSN:1045-926X. | |
| AURIEMMA CITARELLA, Alessia; DE MARCO, Fabiola; Di Biasi, Luigi; Risi, Michele; Tortora, Genoveffa | |
| Versione online | |
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| 2021 | |
| Contributo in Atti di convegno | |
| Gene ontology terms visualization with dynamic distance-graph and similarity measures. In: The 27th International DMS Conference on Visualization and Visual Languages, DMSVIVA 2021, KSIR Virtual Conference Center, USA Shi-Kuo Chang Pag.85-91 ISBN:1-891706-53-5 | |
| DMSVIVA 2021 KSIR Virtual Conference Center, Pittsburgh, USA June 29 - 30, 2021 | |
| Auriemma Citarella, A.; de Marco, F.; Di Biasi, L.; Risi, M.; Tortora, G. | |
| Digital Object Identifier (DOI): 10.18293/DMSVIVA2021-013 Codice identificativo SCOPUS: 2-s2.0-85112744370 | |
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| 2020 | |
| Contributo in Atti di convegno | |
| Classification of Premature Ventricular Contraction Using Deep Learning. In: Computing in Cardiology, CinC 2020, Rimini, Italy, September 13-16, 2020 345 E 47TH ST, NEW YORK, NY 10017 USA IEEE Vol.47, Pag.1-4 ISBN:978-1-7281-7382-5 | |
| Computing in Cardiology, CinC 2020 Rimini, Italy September 13-16, 2020 | |
| De Marco, F; Finlay, D; Bond, Rr | |
| Digital Object Identifier (DOI): 10.22489/CinC.2020.311 Codice identificativo ISI: WOS:000657257000116 Codice identificativo SCOPUS: 2-s2.0-85100949209 | |
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| 2019 | |
| Contributo in Atti di convegno | |
| Identifying Correlations among Biomedical Data through Information Retrieval Techniques. In: Proceedings of the International Conference on Information Visualisation 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA Institute of Electrical and Electronics Engineers Inc. Vol.2019-, Pag.269-274 ISBN:978-1-7281-2838-2 | |
| 23rd International Conference on Information Visualisation - Biomedical Visualization and Geometric Modelling and Imaging, IV 2019 fra 2019 | |
| Pellecchia, M. T.; Frasca, M.; Auriemma Citarella, A.; Risi, M.; Francese, R.; Tortora, G.; De Marco, F. | |
| Digital Object Identifier (DOI): 10.1109/IV.2019.00052 Codice identificativo ISI: WOS:000507461900043 Codice identificativo SCOPUS: 2-s2.0-85072287337 | |
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