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Fabiola De Marco
Fabiola De Marco
Ph.D. in Computer Science, Research Fellow, University of Salerno
Bestätigte E-Mail-Adresse bei unisa.it
Titel
Zitiert von
Zitiert von
Jahr
Classification of QRS complexes to detect Premature Ventricular Contraction using machine learning techniques
F De Marco, F Ferrucci, M Risi, G Tortora
Plos one 17 (8), e0268555, 2022
92022
Refactoring and performance analysis of the main CNN architectures: using false negative rate minimization to solve the clinical images melanoma detection problem
L Di Biasi, F De Marco, A Auriemma Citarella, M Castrillón-Santana, ...
BMC bioinformatics 24 (1), 386, 2023
82023
Classification of premature ventricular contraction using deep learning
F De Marco, D Finlay, RR Bond
2020 Computing in Cardiology, 1-4, 2020
62020
Hybrid approach for the design of cnns using genetic algorithms for melanoma classification
L Di Biasi, F De Marco, A Auriemma Citarella, P Barra, S Piotto Piotto, ...
International Conference on Pattern Recognition, 514-528, 2022
52022
Identifying correlations among biomedical data through information retrieval techniques
MT Pellecchia, M Frasca, AA Citarella, M Risi, R Francese, G Tortora, ...
2019 23Rd international conference information visualisation (IV), 269-274, 2019
52019
ENTAIL: yEt aNoTher amyloid fIbrils cLassifier
A Auriemma Citarella, L Di Biasi, F De Marco, G Tortora
BMC bioinformatics 23 (1), 517, 2022
42022
Exploration of genetic algorithms and cnn for melanoma classification
L Di Biasi, A Auriemma Citarella, F De Marco, M Risi, G Tortora, S Piotto
Italian Workshop on Artificial Life and Evolutionary Computation, 135-138, 2021
32021
PADD: dynamic distance-graph based on similarity measures for GO terms visualization of Alzheimer and Parkinson diseases
A AURIEMMA CITARELLA, F De Marco, L Di Biasi, M Risi, G Tortora
Journal of Visual Language and Computing 1, 19-28, 2021
32021
Identification of morphological patterns for the detection of premature ventricular contractions
F De Marco, L Di Biasi, AA Citarella, M Tucci, G Tortora
2022 26th International Conference Information Visualisation (IV), 393-398, 2022
22022
A machine learning approach for adhesion forecasting of cold-sprayed coatings on polymer-based substrates
AS PERNA, L Carrino, CA Auriemma, DM Fabiola, DB Luigi, T Genoveffa, ...
Materials Research Proceedings 28, 57-64, 2023
12023
Gene Ontology Terms Visualization with Dynamic Distance-Graph and Similarity Measures (S).
AA Citarella, F De Marco, L Di Biasi, M Risi, G Tortora
DMSVIVA, 85-91, 2021
12021
Improving PVC Detection in ECG Signals: A Recurrent Neural Network Approach
F De Marco, L Di Biasi, A Auriemma Citarella, G Tortora
Italian Workshop on Artificial Life and Evolutionary Computation, 256-267, 2023
2023
AI-based solutions for the analysis of biomedical images and signals
F De Marco, AA Citarella, L Di Biasi, L D’Errico, R Francese, G Mettivier, ...
Proceedings of the Italia Intelligenza Artificiale-Thematic Workshops co …, 2023
2023
Rouge Metric Evaluation for Text Summarization Techniques
A Auriemma Citarella, M Barbella, MG Ciobanu, F De Marco, L Di Biasi, ...
Available at SSRN 4753220, 0
Organized Special Tracks
M Polsinelli, C Cury, F Galassi, HB Li, A Sciarra, AA Citarella, C Bisogni, ...
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