Alberto Rossi (DIISM, Universities of Florence and Siena) Oct 4, 2018 – 9:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description The ability of develop a complex reasoning on a relational environment is a fundamental characteristic of the human kind, but has been proven to be a difficult task for neural networks. In […]
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Do you want to challenge a Deep Reinforcement Learning based algorithm? If yes, then DeepHarvest is a very good opportunity! >> ONLINE DEMO << You can find all the information and play an online demo here: https://sailab.diism.unisi.it/deepharvest
Read More »Lisa Graziani (DIISM, Universities of Florence and Siena) Sept 13, 2018 – 9:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Emotion recognition from audio is a widely studied topic, but is still very challenging because is not entirely clear which features are effective for the recognition task. Moreover voice features keep on […]
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Computational models of visual attention are at the crossroad of disciplines like cognitive science, computational neuroscience, and computer vision. When eye-tracking devices are not a viable option, models of human attention can be used to predict fixations. Not only humans are correlated in terms of the locations they fixate, but they also agree somewhat in the […]
Read More »Matteo Tiezzi (DIISM, University of Siena) Sept 6, 2018 – 9:30 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Adversarial examples are defined as “inputs to machine learning models that an attacker has intentionally designed to cause the model to make a mistake”. Indeed, in the computer vision scenario it has been shown […]
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