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pro vyhledávání: '"Manigrasso, Francesco"'
Neuro-symbolic integration aims at harnessing the power of symbolic knowledge representation combined with the learning capabilities of deep neural networks. In particular, Logic Tensor Networks (LTNs) allow to incorporate background knowledge in the
Externí odkaz:
http://arxiv.org/abs/2307.16019
Semantic image interpretation can vastly benefit from approaches that combine sub-symbolic distributed representation learning with the capability to reason at a higher level of abstraction. Logic Tensor Networks (LTNs) are a class of neuro-symbolic
Externí odkaz:
http://arxiv.org/abs/2207.00433
Autor:
Manigrasso, Francesco, Milazzo, Rosario, Russo, Alessandro Sebastian, Lamberti, Fabrizio, Strand, Fredrik, Pagnani, Andrea, Morra, Lia
Publikováno v:
In Medical Image Analysis January 2025 99
The detection of semantic relationships between objects represented in an image is one of the fundamental challenges in image interpretation. Neural-Symbolic techniques, such as Logic Tensor Networks (LTNs), allow the combination of semantic knowledg
Externí odkaz:
http://arxiv.org/abs/2107.01877
Autor:
Morra, Lia, Manigrasso, Francesco, Canto, Giuseppe, Gianfrate, Claudio, Guarino, Enrico, Lamberti, Fabrizio
The automatic detection of events in sport videos has im-portant applications for data analytics, as well as for broadcasting andmedia companies. This paper presents a comprehensive approach for de-tecting a wide range of complex events in soccer vid
Externí odkaz:
http://arxiv.org/abs/2004.04147
Akademický článek
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Akademický článek
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Autor:
Manigrasso F; Politecnico di Torino, Dipartimento di Automatica e Informatica, Corso Duca degli Abruzzi 24, 10129, Turin, Italy., Milazzo R; Politecnico di Torino, Dipartimento di Automatica e Informatica, Corso Duca degli Abruzzi 24, 10129, Turin, Italy., Russo AS; Politecnico di Torino, Dipartimento di Automatica e Informatica, Corso Duca degli Abruzzi 24, 10129, Turin, Italy., Lamberti F; Politecnico di Torino, Dipartimento di Automatica e Informatica, Corso Duca degli Abruzzi 24, 10129, Turin, Italy., Strand F; Department of Oncology-Pathology, Karolinska Institute, Stockholm, Sweden; Department of Breast Radiology, Karolinska University Hospital, Stockholm, Sweden., Pagnani A; Politecnico di Torino, Dipartimento di Scienza Applicata e Tecnologia, Corso Duca degli Abruzzi 24, 10129, Turin, Italy., Morra L; Politecnico di Torino, Dipartimento di Automatica e Informatica, Corso Duca degli Abruzzi 24, 10129, Turin, Italy. Electronic address: lia.morra@polito.it.
Publikováno v:
Medical image analysis [Med Image Anal] 2024 Sep 02; Vol. 99, pp. 103320. Date of Electronic Publication: 2024 Sep 02.