Understanding the evolution of science with AI
We study how to depict the evolution of scientific research through Geometric Deep Learrning and Data Visualization techniques
Title | Year | Author | Venue |
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An overview of data integration in neuroscience with focus on Alzheimer’s Disease. | 2023 | Turrisi R. Squillario M. Abate G. Uberti D. and Barla A. 2023. | IEEE Journal of Biomedical and Health Informatics. |
Introducing Temporal Correlation in Rainfall and Wind Prediction From Underwater Noise | 2023 | A Trucco A Barla R Bozzano S Pensieri A Verri David Solarna | IEEE JOURNAL OF OCEANIC ENGINEERING |
Geometric Deep Learning Strategies for the Characterization of Academic Collaboration Networks | 2023 | D. Pretolesi D. Garbarino D. Giampaoli A. Vian and A. Barla | IEEE Transactions on Emerging Topics in Computing |
Compounding Approaches for Wind Prediction From Underwater Noise by Supervised Learning | 2022 | Trucco A Barla A Bozzano R Fava E Pensieri S Verri A Solarna D | IEEE Journal of Oceanic Engineering |
AI-based component management system for structured content creation, annotation, and publication. | 2022 | Barla A Cuneo M Nunzi SR Paniati G Vian A | 5th International Conference on Intelligent Human Systems Integration (IHSI 2022): Integrating People and Intelligent Systems |