[Apr 14th 2021] LabMeeting: Incorporating network based protein complex discovery into automated model construction

Federica Baccini (University of Siena) When: Apr 14, 2021 – 11:00 – 11:45 AM Where: Google meet link Description We propose a method for gene expression based analysis of cancer phenotypes incorporating network biology knowledge through unsupervised construction of computational graphs. The structural construction of the computational graphs is driven by the use of topological […]

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[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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[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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[Jan 27th 2021] LabMeeting: Mathematics of feature importance and logic constraints to feature importance

Nicola Picchiotti (University of Pavia) When: Jan 27, 2021 – 11:00 – 11:45 AM Where: Google meet link Description In the foreseeable future, a fundamental challenge of Artificial Intelligence will be the need to explain, in a human-comprehensible manner, the working of a black-box model. There are currently many different approaches to tackle the explainability […]

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[Jan 21th 2021] LabMeeting: Improved protein structure prediction using potentials from deep learning

Pietro Bongini (University of Siena) When: Jan 21, 2021 – 11:00 – 11:45 AM Where: Google meet link Description Pietro will present a paper from Andrew W. Senior, Richard Evans, John Jumper,, James Kirkpatrick, Laurent Sifre, Tim Green, Chongli Qin, Augustin Žídek, Alexander W. R. Nelson, Alex Bridgland, Hugo Penedones, Stig Petersen, Karen Simonyan, Steve […]

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