Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next
2022 · Journal of Scientific Computing · 1,913 citations
https://doi.org/10.1007/s10915-022-01939-z
F
Francesco Piccialli
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Francesco Piccialli is an academic researcher from University of Naples Federico II. The author has contributed to research in topics: IoT and Edge/Fog Computing & Privacy-Preserving Technologies in Data & Context-Aware Activity Recognition Systems. The author has an h-index of 47, co-authored 200 publications.
ORCID: 0000-0002-5179-2496Papers by this author
worksFrom Artificial Intelligence to Explainable Artificial Intelligence in Industry 4.0: A Survey on What, How, and Where
2022 · IEEE Transactions on Industrial Informatics · 737 citations
https://doi.org/10.1109/tii.2022.3146552
Model aggregation techniques in federated learning: A comprehensive survey
2023 · Future Generation Computer Systems · 350 citations
https://doi.org/10.1016/j.future.2023.09.008
Julia language in machine learning: Algorithms, applications, and open issues
2020 · Computer Science Review · 73 citations
https://doi.org/10.1016/j.cosrev.2020.100254
A Regularized MRI Image Reconstruction based on Hessian Penalty Term on CPU/GPU Systems
2013 · Procedia Computer Science · 44 citations
https://doi.org/10.1016/j.procs.2013.06.001
Precision medicine and machine learning towards the prediction of the outcome of potential celiac disease
2021 · Scientific Reports · 39 citations
https://doi.org/10.1038/s41598-021-84951-x
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