4 Contributo in Atti di Convegno (Proceeding)

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4.1 Contributo in Atti di convegno 19614
4.2 Abstract in Atti di convegno 5530
4.3 Poster 938

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"Le port qui devroit offrir un tableau animé". la description des ports des Pouilles dans les voyages en Italie (XVIe-XIXe siècles)

Crowd Counting from Unmanned Aerial Vehicles with Fully-Convolutional Neural Networks

Crowd analysis is receiving an increasing attention in the last years because of its social and public safety implications. One of the building blocks of crowd analysis is crowd counting and the associated crowd density estimation. Several commercially available drones are equipped with onboard cameras and embed powerful GPUs, making them an excellent platform for real-time crowd counting tools. This paper proposes a light-weight and fast fully-convolutional neural network to learn a regressi...

Higher-order description logics for learning and mining in complex domains

This short paper summarizes the work I have done over the last years on the use of higher-order Description Logics (DLs) for learning and mining in complex domains. In particular, the work proposes higher-order DLs as a means for metamodeling and metaquerying in Concept Learning and Knowledge Graph Mining, respectively.

Logic Programming and Machine Ethics

Transparency is a key requirement for ethical machines. Verified ethical behavior is not enough to establish justified trust in autonomous intelligent agents: it needs to be supported by the ability to explain decisions. Logic Programming (LP) has a great potential for developing such perspective ethical systems, as in fact logic rules are easily comprehensible by humans. Furthermore, LP is able to model causality, which is crucial for ethical decision making.

Logic-based Machine Learning for Transparent Ethical Agents

Autonomous intelligent agents are increasingly engaging in human communities. Thus, they must be expected to follow social and ethical norms of the community in which they are deployed in. In this work we present an approach for developing such ethical agents which are able to develop ethical decision making and judgment capabilities by learning from interactions with the users. Our approach is a logic-based approach and the resulting ethical agents are transparent by design.

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