The software that was developed in the context of the PRIN2017 Project RexLearn, funded by the Italian Ministry of Education, University and Research (grant no. 2017TWNMH2), can be accessed at the page indicated in this post. RexLearn Software
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Bob is prototype of a conversational agent that, differently from most of the existing commercial virtual assistants, is not only about executing commands or answering questions. Bob is a smart guy that is hungry of knowledge, and he is ready to learn from its partner in the conversation! For security reasons, a special password is […]
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Have a a look at the Technical report here! Our paper was recently accepted at VarDial 2020 Seventh Workshop on NLP for Similar Languages, Varieties and Dialects co-located with COLING 2020. Cite @inproceedings{zugarini2020vulgaris, title={Vulgaris: Analysis of a Corpus for Middle-Age Varieties of Italian Language}, author={Zugarini, Andrea and Tiezzi, Matteo and Maggini, Marco}, booktitle={Proceedings of the […]
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SAILenv is a Virtual Environment powered by Unity3D. It includes 3 pre-built scenes with full pixel-wise annotations. SAILenv is capable of generating frames at real-time speed, complete with pixel-wise annotations, optical flow and depth. SAILenv also comes with a Python API, designed to easily integrate with the most common learning frameworks available. Pixel-wise Annotations SAILenv […]
Read More »LINK TO THE PAPER https://arxiv.org/abs/1903.07534 LINK TO THE REPO https://github.com/GiuseppeMarra/lyrics In spite of the amazing results obtained by 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. Therefore, there is a clear need for the definition of a […]
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LINK https://sailab.diism.unisi.it/gnn/ Our research group introduced the Graph Neural Network (GNN), a connectionist model particularly suited for problems whose domain can be represented by a set of patterns and relationships between them. In those problems, a prediction about a given pattern can be carried out exploiting all the related information, which includes the pattern features, […]
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This is still a work-in-progress, but you can try the demo of our Facial Emotion Recognizer based on Convolutional Neural Networks and Learning from Constraints! >> ONLINE DEMO
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Is poetry a peculiarity of human beings only? Can machines learn to generate poems that actually convey deep emotional meanings, just like human poets do? A lot of work is still necessary to reach such goal, here we present a simple demo in which we trained two models to generate tercets and verses respectively learning […]
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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
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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 […]
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