[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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[Oct 24th 2018] LabMeeting: Some Approaches to Learning of Logical Constraints

Francesco Giannini (DIISM, University of Siena) Oct 24, 2018 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description While learning from constraints is a main topic in artificial intelligence, the problem of learning constraints from exam- ples has received less attention. In this talk, we focus on constraints expressed by logical formulas […]

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[Oct 11th 2018] LabMeeting: Perfect Neuron Building

Alessandro Betti (DIISM, Universities of Florence and Siena) Oct 11, 2018 – 9:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description By and large, Backpropagation (BP) is regarded as one of the most important neural computation algorithms at the basis of the impressive progress in machine learning, including the recent advances in deep […]

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[Oct 4th 2018] LabMeeting: On the notion of sparsity in neural networks

Vincenzo Laveglia (DIISM, Universities of Florence and Siena) Oct 4, 2018 – 9:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description In this preliminary work we try to formalize the notion of sparsity in neural networks defining an appropriate indicator that we call sparsity index (SI), and investigate how this indicator evolves during […]

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