Welcome!

This is the official web site of Siena Artificial Intelligence Laboratory. The focus on our research is on machine learning. In the last few years, we’ve been mainly involved in the conception of new theories of learning in structured domains and in their applications to pattern recognition and mining the web. We are also interested […]

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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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[February 22th, 2018] Learning In The Wild: Beyond Stochastic Gradient Descent

Marco Gori (DIISM, University of Siena) February 22th, 2018 – 9:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description The puzzle of computer vision might find new challenging solutions when we realize that most successful methods are working at image level, which is remarkably more difficult than processing directly visual streams. In this […]

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FixaTons: A collection of Human Fixations Datasets and Metrics for Scanpath Similarity

  Dario Zanca (1,2), Valeria Serchi (3), Pietro Piu (3), Francesca Rosini (3,4), Alessandra Rufa (3,4) (1) Department of Information Engineering, University of Florence, Florence, Italy (2) Department of Information Engineering and Mathematics, University of Siena, Siena, Italy (3) Eye-tracking and Visual Application Lab (EVALab), Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, […]

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Neural Networks for Beginners. A fast implementation in Matlab, Torch, TensorFlow

Francesco Giannini (1), Vincenzo Laveglia (1,2), Alessandro Rossi (1,3), Dario Zanca (1,2), Andrea Zugarini (1) (1) DIISM, University of Siena, Siena, Italy (2) DINFO, University of Florence, Florence, Italy (3) Fondazione Bruno Kessler, Trento, Italy Abstract An introduction to some Machine Learning tools within the most common development environments. It mainly focuses on practical problems, skipping […]

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EYMOL: Variational Laws of Visual Attention for Dynamic Scenes

Dario Zanca (1,2), Marco Gori (2) (1) DINFO, University of Florence (2) DIISM, University of Siena Part of: Advances in Neural Information Processing Systems 30 (NIPS 2017) Abstract Computational models of visual attention are at the crossroad of disciplines like cognitive science, computational neuroscience, and computer vision. In this project we propose a model of […]

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