Pietro Bongini
Orcid: 0000-0001-9074-0587
According to our database1,
Pietro Bongini
authored at least 24 papers
between 2019 and 2025.
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Bibliography
2025
GrapHisto: A Robust Representation of Graph-Structured Data for Graph Convolutional Networks.
Neural Process. Lett., February, 2025
2024
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 28th International Conference KES-2024, 2024
2023
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023
2022
ACM Trans. Multim. Comput. Commun. Appl., 2022
Structural Bioinformatic Survey of Protein-Small Molecule Interfaces Delineates the Role of Glycine in Surface Pocket Formation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
GNNkeras: A Keras-based library for Graph Neural Networks and homogeneous and heterogeneous graph processing.
SoftwareX, 2022
Towards learning trustworthily, automatically, and with guarantees on graphs: An overview.
Neurocomputing, 2022
Algorithms, 2022
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2022
2021
J. Bioinform. Comput. Biol., 2021
Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021
CaregiverMatcher: graph neural networks for connecting caregivers of rare disease patients.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021
2020
A deep attention network for predicting amino acid signals in the formation of α-helices.
J. Bioinform. Comput. Biol., 2020
Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020
2019
Glycine-induced formation and druggability score prediction of protein surface pockets.
J. Bioinform. Comput. Biol., 2019
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019
Fusion of Visual and Anamnestic Data for the Classification of Skin Lesions with Deep Learning.
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2019, 2019