MODAL@UNINA

Archivio mensile 15 Gennaio 2023

Highly Cited Paper in 2022

We’re thrilled to share that our article on “From Artificial Intelligence to Explainable Artificial Intelligence in Industry 4.0” has been recognized as a Highly Cited Paper in 2022 by Web of Science, Clarivative! πŸŽ‰πŸ“š

This means that as of September/October 2022, our article received enough citations to place it in the top 1% of the academic field of Engineering based on a highly cited threshold for the field and publication year. We’re honored to be recognized for our contributions to the field of AI and Industry 4.0.

In our article, we surveyed what, how, and where explainable AI can be implemented in the Industry 4.0 context. We explored the need for explainability in AI, the different techniques used to make AI explainable, and the applications of explainable AI in Industry 4.0.

We’re proud to have contributed to the growing body of research on explainable AI, and we hope our work will continue to inform and inspire future developments in this exciting field.

Click here to read the full article: https://ieeexplore.ieee.org/abstract/document/9695219 

Welcome to a new member of MODAL!

We are excited to welcome Marzia Canzaniello as new researcher to our MODAL laboratory! With her expertise and skills, we’re looking forward to the exciting contributions she will bring to our ongoing projects. Stay tuned for more updates as we continue to push the boundaries of cutting-edge research in DL and AI! 

e-Health bookings and Knowledge Graphs

We’re excited to share that our latest research on β€œe-Health bookings and Knowledge Graphs” has just been published in the prestigious IEEE Journal of Biomedical and Health Informatics! πŸŽ‰πŸ“ˆ

With new technologies transforming the medical field, structuring e-health data through a Knowledge Graph approach can provide a quick and simple method for organizing and retrieving valuable medical insights. We’re excited to continue exploring the possibilities of e-health data and Knowledge Graphs in the future.

To read the full paper, head over to IEEE Journal of Biomedical and Health Informatics: https://ieeexplore.ieee.org/abstract/document/10004694Β