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Journal Articles
- 2023
[j3]Luigi Di Biasi
, Fabiola De Marco, Alessia Auriemma Citarella, Modesto Castrillón Santana, Paola Barra, Genoveffa Tortora:
Refactoring and performance analysis of the main CNN architectures: using false negative rate minimization to solve the clinical images melanoma detection problem. BMC Bioinform. 24(1): 386 (2023)- 2022
- [j2]Alessia Auriemma Citarella, Luigi Di Biasi, Fabiola De Marco, Genoveffa Tortora:
ENTAIL: yEt aNoTher amyloid fIbrils cLassifier. BMC Bioinform. 23(1): 517 (2022) - 2021
- [j1]Alessia Auriemma Citarella, Fabiola De Marco, Luigi Di Biasi, Michele Risi, Genoveffa Tortora:
PADD: Dynamic Distance-Graph based on Similarity Measures for GO Terms Visualization of Alzheimer and Parkinson diseases. J. Vis. Lang. Comput. 2021(1): 19-28 (2021)
Conference and Workshop Papers
- 2024
- [c11]Giuseppe Arienzo, Alessia Auriemma Citarella, Fabiola De Marco, Anna Maria De Roberto, Luigi Di Biasi, Rita Francese, Genoveffa Tortora:
CardioView: a framework for detection Premature Ventricular Contractions with eXplainable Artificial Intelligence. INI-DH@AVI 2024: 19-30 - [c10]Alessia Auriemma Citarella, Luigi Carrino, Fabiola De Marco, Luigi Di Biasi, Alessia Serena Perna, Genoveffa Tortora, Antonio Viscusi:
AI-driven models for Cold Spray deposition: transforming additive manufacturing for sustainability. Ital-IA 2024: 259-264 - [c9]Ilaria Amaro, Alessia Auriemma Citarella, Fabiola De Marco, Attilio Della Greca, Luigi Di Biasi, Rita Francese, Domenico Rossi, Genoveffa Tortora, Cesare Tucci:
AI-driven technologies in Digital Health & Well Being: early detection and intervention strategies. Ital-IA 2024: 354-359 - 2023
- [c8]Fabiola De Marco, Alessia Auriemma Citarella, Luigi Di Biasi, Lorenzo D'Errico, Rita Francese, Giovanni Mettivier, Mariacarla Staffa, Genoveffa Tortora:
AI-based solutions for the analysis of biomedical images and signals. Ital-IA 2023: 171-176 - [c7]Fabiola De Marco, Luigi Di Biasi, Alessia Auriemma Citarella, Genoveffa Tortora:
Improving PVC Detection in ECG Signals: A Recurrent Neural Network Approach. WIVACE 2023: 256-267 - 2022
- [c6]Luigi Di Biasi, Fabiola De Marco, Alessia Auriemma Citarella, Paola Barra, Stefano Piotto, Genoveffa Tortora:
Hybrid Approach for the Design of CNNs Using Genetic Algorithms for Melanoma Classification. ICPR Workshops (1) 2022: 514-528 - [c5]Fabiola De Marco, Luigi Di Biasi, Alessia Auriemma Citarella, Maurizio Tucci, Genoveffa Tortora:
Identification of Morphological Patterns for the Detection of Premature Ventricular Contractions. IV 2022: 393-398 - 2021
- [c4]Alessia Auriemma Citarella, Fabiola De Marco, Luigi Di Biasi, Michele Risi, Genoveffa Tortora:
Gene Ontology Terms Visualization with Dynamic Distance-Graph and Similarity Measures (S). DMSVIVA 2021: 85-91 - [c3]Luigi Di Biasi, Alessia Auriemma Citarella, Fabiola De Marco, Michele Risi, Genoveffa Tortora, Stefano Piotto:
Exploration of Genetic Algorithms and CNN for Melanoma Classification. WIVACE 2021: 135-138 - 2020
- [c2]Fabiola De Marco, Dewar D. Finlay, Raymond R. Bond:
Classification of Premature Ventricular Contraction Using Deep Learning. CinC 2020: 1-4 - 2019
- [c1]Maria Teresa Pellecchia, Maria Frasca, Alessia Auriemma Citarella, Michele Risi, Rita Francese, Genoveffa Tortora, Fabiola De Marco:
Identifying Correlations among Biomedical Data through Information Retrieval Techniques. IV (1) 2019: 269-274
Coauthor Index
aka: Genoveffa Tortora
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