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
Fabio Giampaolo
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Fabio Giampaolo is an academic researcher from University of Naples Federico II. The author has contributed to research in topics: Privacy-Preserving Technologies in Data & Neural Networks and Applications & Model Reduction and Neural Networks. The author has an h-index of 21, co-authored 60 publications.
ORCID: 0000-0001-5414-3435Papers by this author
worksSynthetic and privacy-preserving traffic trace generation using generative AI models for training Network Intrusion Detection Systems
2024 · Journal of Network and Computer Applications · 20 citations
https://doi.org/10.1016/j.jnca.2024.103926
GRaNN: feature selection with golden ratio-aided neural network for emotion, gender and speaker identification from voice signals
2022 · Neural Computing and Applications · 16 citations
https://doi.org/10.1007/s00521-022-07261-x
Deep learning forecasting of large induced earthquakes via precursory signals
2024 · Scientific Reports · 13 citations
https://doi.org/10.1038/s41598-024-52935-2
Statistical arbitrage in the stock markets by the means of multiple time horizons clustering
2023 · Neural Computing and Applications · 3 citations
https://doi.org/10.1007/s00521-023-08313-6
Towards one-shot federated learning: Advances, challenges, and future directions
2025 · Neurocomputing · 3 citations
https://doi.org/10.1016/j.neucom.2025.132088
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