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Alessia Auriemma Citarella

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2020 – today

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2024
[c16]
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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
[c15]
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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
[c14]
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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
[j6]
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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)
[c13]
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Paola Barra, Giosuè Orefice, Alessia Auriemma Citarella, Modesto Fernando Castrillón Santana, Angelo Ciaramella:
Litter segmentation with LOTS dataset. GoodIT 2023: 1-5
[c12]
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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
[c11]
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Paola Barra, Alessia Auriemma Citarella, Giosuè Orefice, Modesto Castrillón Santana, Angelo Ciaramella:
LOTS: Litter On The Sand dataset for litter segmentation. MVA 2023: 1-4
[c10]
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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
[j5]
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Alessia Auriemma Citarella, Luigi Di Biasi, Michele Risi, Genoveffa Tortora:
SNARER: new molecular descriptors for SNARE proteins classification. BMC Bioinform. 23(1): 148 (2022)
[j4]
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Alessia Auriemma Citarella, Luigi Di Biasi, Fabiola De Marco, Genoveffa Tortora:
ENTAIL: yEt aNoTher amyloid fIbrils cLassifier. BMC Bioinform. 23(1): 517 (2022)
[j3]
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Luigi Di Biasi, Alessia Auriemma Citarella, Michele Risi, Genoveffa Tortora:
A Cloud Approach for Melanoma Detection Based on Deep Learning Networks. IEEE J. Biomed. Health Informatics 26(3): 962-972 (2022)
[c9]
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Marcello Barbella, Michele Risi, Genoveffa Tortora, Alessia Auriemma Citarella:
Different Metrics Results in Text Summarization Approaches. DATA 2022: 31-39
[c8]
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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
[c7]
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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
[j2]
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Alessia Auriemma Citarella, Luigi Di Biasi, Stefano Piotto, Michele Risi, Genoveffa Tortora:
SENECA: A Pedagogical Tool supporting Remote Teaching and Learning. J. Vis. Lang. Comput. 2021(1): 1-10 (2021)
[j1]
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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)
[c6]
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Alessia Auriemma Citarella, Luigi Di Biasi, Stefano Piotto, Michele Risi, Genoveffa Tortora:
SENECA: An Attention Support Tool for Context-related Content Learning. DMSVIVA 2021: 36-45
[c5]
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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
[c4]
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Alessia Auriemma Citarella, Lorenzo Porcelli, Luigi Di Biasi, Michele Risi, Genoveffa Tortora:
Reconstruction and Visualization of Protein Structures by exploiting Bidirectional Neural Networks and Discrete Classes. IV 2021: 285-290
[c3]
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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]
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  - conf/icpr/FrascaNRTC20
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Maria Frasca, Michele Nappi, Michele Risi, Genoveffa Tortora, Alessia Auriemma Citarella:
A Comparison of Neural Network Approaches for Melanoma Classification. ICPR 2020: 2110-2117

2010 – 2019

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2019
[c1]
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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

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