[Jan 9th 2019] LabMeeting: Automatic prediction of druggability for protein surface pockets

Pietro Bongini (DIISM, University of Siena) Jan 09, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Drug discovery is a flourishing field of research with the goal of improving human health. Even though, in the last two decades, a massive amount of informatics has been introduced in this field, providing […]

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[Dec 17th 2018] Deep Graph Infomax

Pietro LiĆ² (University of Cambridge) Dec 17, 2018 – 2:30 PM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description We present Deep Graph Infomax (DGI), a general approach for learning node representations within graph-structured data in an unsupervised manner. DGI relies on maximizing mutual information between patch representations and corresponding high-level summaries of graphs—both […]

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[Dec 12th 2018] LabMeeting: How to extend GNNs: from changing the neuron model to transductive learning

Giorgio Ciano (DIISM, University of Siena) Dec 12, 2018 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Most of the techniques used in Machine Learning (e.g. Deep Neural Networks) use vectors as inputs. However, graphs are a data structure that is more general and suitable to represent real-world problems. Even if […]

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[Dec 12th 2018] Evolutionary Coresets and Machine Learning Epistemology

Pietro Barbiero (DISMA, Politecnico di Torino) Dec 12, 2018 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description In recent years, machine learning research has proposed effective algorithms, with huge impacts on applications ranging from medicine to autonomous driving cars. Although these models are powerful and accurate, they show serious weaknesses, such […]

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[Dec 12th 2018] Neural Biclustering in Gene Expression Analysis

Giansalvo Cirrincione (University of Picardie Jules Verne (UPJV), Amiens (France) and University of South Pacific (USP), Suva, Fiji) Dec 12, 2018 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Clustering in high dimensional spaces is a very difficult task. Dealing with DNA microarrays is even more difficult because gene subsets are […]

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[Dec 5th 2018] LabMeeting: Unity: A General Platform for Intelligent Agents

Luca Pasqualini (DIISM, University of Siena) Dec 5, 2018 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Recent advances in Deep Reinforcement Learning and Robotics have been driven by the presence of increasingly realistic and complex simulation environments. Many of the existing platforms, however, provide either unrealistic visuals, inaccurate physics, low […]

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[Nov 28th 2018] LabMeeting: Novel Neural Techniques for Gene Expression Analysis in Cancer Prognosis

Gabriele Ciravegna (DIISM, University of Siena) Nov 28, 2018 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Cancer is a large family of genetic diseases that involve abnormal cell growth. Genetic mutations can vary from one patient to another. Therefore, personalized precision is required to increase the reliability of prognostic predictions […]

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[Nov 21th 2018] LabMeeting: On confidence measures for deep learning in domain adaptation applications

Simone Bonechi (DIISM, University of Siena) Nov 21, 2018 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description In recent years, Deep Neural Networks (DNNs) led to impressive results in a wide variety of machine learning tasks, tipically relying on the existence of a huge amount of supervised data. However, in many […]

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[Nov 14th 2018] LabMeeting: High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

Paolo Andreini (DIISM, University of Siena) Nov 14, 2018 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description In this seminar a new method for synthesizing high-resolution photo-realistic images from semantic label maps using conditional generative adversarial networks (conditional GANs) will be presented. Conditional GANs have enabled a variety of applications, but […]

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Winners of soccer data challenge

First Place at SoBigData Soccer Data Challenge

Three of our PhD students Matteo Tiezzi, Dario Zanca, Andrea Zugarini, together with Alessandro Rossi, former PhD student of our lab as well, won the SoBigData Soccer Data Challenge, held in Pisa on October 12-13 during the Internet Festival 2018. The competition was open to people with a passion for data and soccer. For 30 […]

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