[March 22nd 2018] LabMeeting: Dialogue Generation from Structured Knowledge

Andrea Zugarini (DIISM, University of Siena) March 22, 2018 – 9:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Current task-oriented dialogue systems are limited to operate in a pre-defined domain. They provide good performances, but they lack of generalization capabilities because of their bound with the specific task. On the other hand, […]

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[March 15th, 2018] CLARE: a Constrained Learning And Reasoning Environment

Giuseppe Marra (DIISM, University of Siena) March 15th, 2018 – 9:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description In spite of the amazing results of deep learning in many applications, a real intelligent behavior of an agent, acting in a complex environment, is likely to require some kind of higher-level symbolic inference. […]

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[March 8th, 2018] LabMeeting: Refinement of deep neural network learning via error-driven target propagation

Vincenzo Laveglia (DIISM, University of Siena) March 8, 2018 – 9:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Target propagation in deep neural networks aims at improving the learning process by determining target outputs for the hidden layers of the network. To date, this has been accomplished relying on autoassociative networks applied […]

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[April 18th, 2018] Deep Probabilistic Logic Programming (Fabrizio Riguzzi)

Fabrizio Riguzzi (Department of Mathematics and Computer Science, University of Ferrara) April 18th, 2018 – 12:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Probabilistic logic programming (PLP) under the distribution semantics handles well relational uncertain data and knwoledge graphs. However, inference is expensive inference so simplified versions of the language have been […]

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[March 1st, 2018] LabMeeting: A fully recursive neural network architecture

Alberto Rossi (DIISM, University of Siena) March 1, 2018 – 10:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Fully recursive perceptron network (FRPN) could be an alternative to normal MLP. It is composed by three layer, input, output and only one hidden with its neurons interconnected in instantaneous way. FRPN computational capability […]

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[March 1st, 2018] LabMeeting: An Overview of Semantic Image Segmentation with Deep Learning

Simone Bonechi (DIISM, University of Siena) March 1, 2018 – 9:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Semantic Image segmentation is more and more being of interest for computer vision and machine learning researchers. A lot of applications need accurate and efficient segmentation mechanisms: autonomous driving, indoor navigation, and even virtual […]

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[February 8th, 2018] LabMeeting: Multimodal Emotion Analysis

Lisa Graziani (DINFO, University of Florence and DIISM, University of Siena) February 8th, 2018 – 3:30 PM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Affective Computing is an emerging field of research that aims to enable intelligent systems to recognize, feel, infer and interpret human emotions. It is an interdisciplinary field spanning computer […]

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[February 1st, 2018] LabMeeting: Capsule Networks

Matteo Tiezzi (DIISM, University of Siena) February 1st, 2018 – 9:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Convolutional neural networks that are used to recognize shapes typically use one or more layers of learned feature detectors that produce scalar outputs, interleaved with subsampling. In this way they obtain translational invariance. However […]

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[February 28th, 2018] Deep Probabilistic Logic Programming

Fabrizio Riguzzi (Department of Mathematics and Computer Science, University of Ferrara) February 28th, 2018 – 12:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Probabilistic logic programming (PLP) under the distribution semantics handles well relational uncertain data and knwoledge graphs. However, inference is expensive inference so simplified versions of the language have been […]

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