Giorgia Giacomini (DIISM, University of Siena) Jan 16, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description A powerful way to discover key genes playing causal roles in oncogenesis is to identify genomic regions that undergo frequent alteration in human cancers. Copy Number Alterations (CNAs) are structural rearrangements involving DNA segments, […]

Marco Gori (DIISM, University of Siena) Jan 09, 2019 – 11:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Resources Slides

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 […]

Pietro Liò (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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]