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Fabiola De Marco
Fabiola De Marco
Ph.D. in Computer Science, Researcher, University of Salerno
Email verificata su unisa.it
Titolo
Citata da
Citata da
Anno
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
132022
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 Castrillˇn-Santana, ...
BMC bioinformatics 24 (1), 386, 2023
112023
Classification of premature ventricular contraction using deep learning
F De Marco, D Finlay, RR Bond
2020 Computing in Cardiology, 1-4, 2020
102020
ENTAIL: yEt aNoTher amyloid fIbrils cLassifier
A Auriemma Citarella, L Di Biasi, F De Marco, G Tortora
BMC bioinformatics 23 (1), 517, 2022
82022
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
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
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
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 LANGUAGES AND COMPUTING 1, 19-28, 2021
32021
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
22023
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
22021
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
22021
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, ...
Ital-IA, 171-176, 2023
12023
Analysis of 12-lead ECGs for SARS-CoV-2 detection using deep learning techniques
A Auriemma Citarella, F De Marco, L Di Biasi, L Di Chiara, G Tortora
Multimedia Tools and Applications, 1-14, 2024
2024
CardioView: a framework for detection Premature Ventricular Contractions with eXplainable Artificial Intelligence
G Arienzo, AA Citarella, F De Marco, AM De Roberto, L Di Biasi, ...
INI-DH 2024: Workshop on Innovative Interfaces in Digital Healthcare, iná…, 2024
2024
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
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, ...
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
Articoli 1–17