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2020 – today
- 2024
[c18]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- [c17]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 - [c16]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
- [j8]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) - [c15]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 - [c14]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
- [j7]Arkadeep Sarkar, Jacopo Santoro, Luigi Di Biasi, Francesco Marrafino, Stefano Piotto:
YAMACS: a graphical interface for GROMACS. Bioinform. 38(19): 4645-4646 (2022) - [j6]Alessia Auriemma Citarella, Luigi Di Biasi, Michele Risi, Genoveffa Tortora:
SNARER: new molecular descriptors for SNARE proteins classification. BMC Bioinform. 23(1): 148 (2022) - [j5]Alessia Auriemma Citarella, Luigi Di Biasi, Fabiola De Marco, Genoveffa Tortora:
ENTAIL: yEt aNoTher amyloid fIbrils cLassifier. BMC Bioinform. 23(1): 517 (2022) - [j4]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) - [c13]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 - [c12]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
- [j3]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) - [j2]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) - [c11]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 - [c10]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 - [c9]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 - [c8]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 - [c7]Luigi Di Biasi, Jacopo Santoro, Stefano Piotto:
ARISE: Artificial Intelligence Semantic Search Engine. WIVACE 2021: 187-192 - [c6]Stefano Piotto, Lucia Sessa, Jacopo Santoro, Luigi Di Biasi:
Artificial Chemical Neural Network for Drug Discovery Applications. WIVACE 2021: 225-229
2010 – 2019
- 2017
- [c5]Lucia Sessa, Luigi Di Biasi, Simona Concilio, Stefano Piotto:
Fragment Based Molecular Dynamics for Drug Design. WIVACE 2017: 49-58 - 2016
- [j1]Stefano Piotto, Luigi Di Biasi, Riccardo Fino, Raffaele Parisi, Lucia Sessa, Simona Concilio:
Yada: a novel tool for molecular docking calculations. J. Comput. Aided Mol. Des. 30(9): 753-759 (2016) - [c4]Giuseppe Cattaneo, Raffaele Giancarlo, Stefano Piotto, Umberto Ferraro Petrillo, Gianluca Roscigno, Luigi Di Biasi:
MapReduce in Computational Biology - A Synopsis. WIVACE 2016: 53-64 - 2015
- [c3]Luigi Di Biasi, Roberto Fino, Rosaura Parisi, Lucia Sessa, Giuseppe Cattaneo, Alfredo De Santis, Pio Iannelli, Stefano Piotto:
Novel Algorithm for Efficient Distribution of Molecular Docking Calculations. WIVACE 2015: 65-74 - [c2]Rosaura Parisi, Ida Moccia, Lucia Sessa, Luigi Di Biasi, Simona Concilio, Stefano Piotto:
Models for the Prediction of Antimicrobial Peptides Activity. WIVACE 2015: 83-91 - [c1]Lucia Sessa, Luigi Di Biasi, Simona Concilio, Giuseppe Cattaneo, Alfredo De Santis, Pio Iannelli, Stefano Piotto:
A New Flexible Protocol for Docking Studies. WIVACE 2015: 117-126
Coauthor Index
aka: Genoveffa Tortora
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last updated on 2024-10-09 21:32 CEST by the dblp team
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