3 programming-"Multiple"-"Integreat--Norwegian-Centre-for-Knowledge-driven-Machine-Learning" "O" positions in France
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on baseline patients’ profile. Finally, we aim at enriching spatio-temporal treatment response models accounting for multiple imaging modalities (PET – CT) along with clinical and biological informations
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for multiple imaging modalities (PET – CT) along with clinical and biological informations. Typical data-driven approaches are characterized by lack of interpretability and scalability problems, due
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experimental data and is testable across multiple unlearning scenarios. For this we plan to apply for the first time Spiking Neural Networks (SNNs) to the modeling of unlearning. SNNs have recently shown
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