PROIETTI, MICHELA
PROIETTI, MICHELA
DIPARTIMENTO DI INGEGNERIA INFORMATICA, AUTOMATICA E GESTIONALE -ANTONIO RUBERTI-
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Explainable AI in drug design: self-interpretable graph neural network for molecular property prediction using concept whitening
2022 Proietti, Michela; Ragno, Alessio; Capobianco, Roberto
Explainable AI in drug discovery: self-interpretable graph neural network for molecular property prediction using concept whitening
2023 Proietti, Michela; Ragno, Alessio; Rosa, Biagio La; Ragno, Rino; Capobianco, Roberto
Intermediate Layers of LLMs Align Best With the Brain by Balancing Short- and Long-Range Information
2025 Proietti, Michela; Capobianco, Roberto; Toneva, Mariya
ProtoCRL: Prototype-based Network for Continual Reinforcement Learning
2025 Proietti, Michela; Wurman, Peter R.; Stone, Peter; Capobianco, Roberto
XAI-Guided Continual Learning: Rationale, Methods, and Future Directions
2025 Proietti, M.; Ragno, A.; Capobianco, R.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Explainable AI in drug design: self-interpretable graph neural network for molecular property prediction using concept whitening | 2022 | Proietti, Michela; Ragno, Alessio; Capobianco, Roberto | |
| Explainable AI in drug discovery: self-interpretable graph neural network for molecular property prediction using concept whitening | 2023 | Proietti, Michela; Ragno, Alessio; Rosa, Biagio La; Ragno, Rino; Capobianco, Roberto | |
| Intermediate Layers of LLMs Align Best With the Brain by Balancing Short- and Long-Range Information | 2025 | Proietti, Michela; Capobianco, Roberto; Toneva, Mariya | |
| ProtoCRL: Prototype-based Network for Continual Reinforcement Learning | 2025 | Proietti, Michela; Wurman, Peter R.; Stone, Peter; Capobianco, Roberto | |
| XAI-Guided Continual Learning: Rationale, Methods, and Future Directions | 2025 | Proietti, M.; Ragno, A.; Capobianco, R. |