[Jul 27th 2021] LabMeeting: Continuous Action Spaces vs Discrete Action Spaces in Reinforcement Learning: a Practical Example

Luca Pasqualini (University of Siena) When: Jul 27th, 2021 – 11:00 – 11:45 AM Where: Google meet link Description In reinforcement learning, with the exception of some control problems, de-facto continuous action spaces are rare. They have a powerful feature though: they can be used to reduce the complexity of combinatorial discrete action spaces. Through […]

Read More »

[Jul 21st 2021] LabMeeting: Computer-aided diagnosis of prostate cancer using multiparametric MRI and clinical features: a patient-level classification framework

Giorgio Ciano (University of Siena) When: Jul 21st, 2021 – 11:00 – 11:45 AM Where: Google meet link Description Computer-aided diagnosis (CAD) of prostate cancer (PCa) using multiparametric magnetic resonance imaging (mpMRI) is actively being investigated as a means to provide clinical decision support to radiologists. Typically, these sy tems are trained using lesion annotations. […]

Read More »

[Jul 14th 2021] LabMeeting: Continual learning and catastrophic forgetting, a general overview

Lapo Faggi (University of Florence) When: Jul 14th, 2021 – 11:00 – 11:45 AM Where: Google meet link Description Traditional machine learning techniques usually assume static input data and the existence of a neat distinction between a training and a test phase. Input data, entirely available at the beginning of the learning procedure, are processed […]

Read More »

[Jul 7th 2021] LabMeeting: Hyper-SAGNN, a self-attention based graph neural network for hypergraphs

Niccolò Pancino (University of Siena) When: Jul 7th, 2021 – 11:00 – 11:45 AM Where: Google meet link Description Graph representation learning for hypergraphs can be used to extract patterns among higher-order interactions that are critically important in many real-world problems. Current approaches designed for hypergraphs, however, are unable to handle different types of hypergraphs […]

Read More »