Ethical and regulatory challenges of AI technologies in healthcare: A narrative review
2024 · Heliyon · 648 citations
https://doi.org/10.1016/j.heliyon.2024.e26297
M
Massimo Esposito
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Massimo Esposito is an academic researcher from University of Salerno. The author has contributed to research in topics: Topic Modeling & Natural Language Processing Techniques & Context-Aware Activity Recognition Systems. The author has an h-index of 32, co-authored 189 publications.
ORCID: 0000-0002-7196-7994Papers by this author
worksMultilingual evaluation of pre-processing for BERT-based sentiment analysis of tweets
2021 · Expert Systems with Applications · 108 citations
https://doi.org/10.1016/j.eswa.2021.115119
Lexicon-based sentiment analysis to detect opinions and attitude towards COVID-19 vaccines on Twitter in Italy
2023 · Computers in Biology and Medicine · 54 citations
https://doi.org/10.1016/j.compbiomed.2023.106876
Best practices for portfolio optimization by quantum computing, experimented on real quantum devices
2023 · Scientific Reports · 50 citations
https://doi.org/10.1038/s41598-023-45392-w
Real-time anomaly detection on time series of industrial furnaces: A comparison of autoencoder architectures
2023 · Engineering Applications of Artificial Intelligence · 38 citations
https://doi.org/10.1016/j.engappai.2023.106597
Serious Games and In-Cloud Data Analytics for the Virtualization and Personalization of Rehabilitation Treatments
2018 · IEEE Transactions on Industrial Informatics · 28 citations
https://doi.org/10.1109/tii.2018.2856097
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