[Mar 31th 2021] LabMeeting: Logic Explainer Networks

Gabriele Ciravegna (University of Siena) When: Mar 31, 2021 – 11:00 – 11:45 AM Where: Google meet link Description Despite the increasing popularity of deep learning application, in real wold domains the employment of deep neural networks is still limited and strongly criticized due to their lack of interpretability. In particular, providing a comprehensible explanation […]

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[Mar 24th 2021] LabMeeting: A precision medicine approach for patients treated with cannabinoids

Anna Visibelli (University of Siena) When: Mar 24, 2021 – 11:00 – 11:45 AM Where: Google meet link Description The plant Cannabis has been used for millennia for its medical and mind-altering effects. Clinical and preclinical research efforts over the past decades, have defined many effects of cannabis on physiology and behaviour and more recent […]

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[Mar 10th 2021] LabMeeting: A multi-stage GAN for multi organ chest X-ray image generation and segmentation

Giorgio Ciano (University of Siena) When: Mar 10, 2021 – 11:00 – 11:45 AM Where: Google meet link Description Chest X-ray (CXR) is one of the most commonly used techniques for diagnosing pneumonia, tuberculosis, lung cancer, and heart failure. It is of great clinical and scientific interest to develop computer-based systems that support CXR analysis, […]

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Conversational Agent Bob

Bob is prototype of a conversational agent that, differently from most of the existing commercial virtual assistants, is not only about executing commands or answering questions. Bob is a smart guy that is hungry of knowledge, and he is ready to learn from its partner in the conversation! For security reasons, a special password is […]

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[Feb 17th 2021] LabMeeting: Modeling polypharmacy side effects with graph convolutional networks

Niccolò Pancino (University of Siena) When: Feb 17, 2021 – 11:45 – 12:30 AM Where: Google meet link Description The use of drug combinations, or polypharmacy, is common to treat patients with complex diseases. However, a major consequence of polypharmacy is a much higher risk of adverse side effects for the patient. Polypharmacy side effects […]

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[Feb 10th 2021] LabMeeting: Differentiable Rendering and Adversarial Learning

Enrico Meloni (University of Siena) When: Feb 10, 2021 – 11:00 – 11:45 AM Where: Google meet link Description Neural Models can be efficiently used for 2D and 3D reasoning. However, most 3D estimation models rely on supervised training, which comes with costly annotations of all observable 3D properties. Differentiable rendering enables 2D images to […]

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