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个人简介
My background is in symbolic AI, in particular knowledge representation and reasoning, but since my PhD I have been moving across several areas within the AI field going from logic programming to as far as neural networks, and passing by semantic technologies, the Internet of Things, probabilistic logical reasoning, complex event processing and stream reasoning. I have also applied my research to a variety of domains including assisted living, smart cities, smart enterprise, additive manufacturing.
My current research interest is in exploring and exploiting synergies and complementarities between symbolic, probabilistic and neural artificial intelligence formalisms and tools for complex reasoning. This interest developed into the design of a new research programme focused on neural-symbolic computation and knowledge-enhanced Deep Representation Learning, in collaboration with Nokia Bell-Labs and the Amsterdam Data Science.
My current research interest is in exploring and exploiting synergies and complementarities between symbolic, probabilistic and neural artificial intelligence formalisms and tools for complex reasoning. This interest developed into the design of a new research programme focused on neural-symbolic computation and knowledge-enhanced Deep Representation Learning, in collaboration with Nokia Bell-Labs and the Amsterdam Data Science.
研究兴趣
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SENSORSno. 4 (2024): 1308
CoRR (2024)
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NeSypp.118-127, (2023)
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Frontiers in Artificial Intelligence and Applications (2023): 577-608
CoRR (2023)
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PKDD/ECML Workshops (1) (2022): 322-335
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