Biagio La Rosa
Biography
I'm a PhD student of Engineer in Computer Science in the Department of Computer, Control, and Management Engineering (DIAG) Antonio Ruberti at Sapienza University of Rome. I'm actually a member of Ro.Co.Co.Lab, under the supervision of prof. Roberto Capobianco.
My research focuses on the field of eXplainable Artificial Intelligence. In particular, my goal is to study and to develop new techniques that can make more explainable predictions of Deep Neural Networks. I obtained an M. Sc. in Artificial Intelligence & Robotics and a B. Sc. in Computer Science, both at Sapienza University. In the past, I worked with the Department of Computer, Control, and Management Engineering as a researcher, and with CINI as a collaborator.
Research interest
Explainable Artificial Intelligence
Intepretable Machine Learning
Deep Learning
Memory Augumented Neural Networks
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Membro di
Ultime pubblicazioni
| Explainable AI in drug discovery: self-interpretable graph neural network for molecular property prediction using concept whitening on MACHINE LEARNING | 2023 |
| State of the Art of Visual Analytics for eXplainable Deep Learning on COMPUTER GRAPHICS FORUM | 2023 |
| Towards a fuller understanding of neurons with Clustered Compositional Explanations on Advances in Neural Information Processing Systems | 2023 |
| A Discussion about Explainable Inference on Sequential Data via Memory-Tracking on CEUR Workshop Proceedings | 2022 |
| A self-interpretable module for deep image classification on small data on APPLIED INTELLIGENCE | 2022 |
| Detection accuracy for evaluating compositional explanations of units on | 2022 |
| Prototype-based Interpretable Graph Neural Networks on IEEE TRANSACTIONS ON ARTIFICIAL INTELLIGENCE | 2022 |