Zobrazeno 1 - 10
of 156
pro vyhledávání: '"Siino, M"'
Autor:
Tomizawa, S., Siino, M.
We propose a method to determine the topological structure of an event horizon far in the future of a spacetime from the geometrical information of its future null infinity. In the present article, we mainly consider spacetimes with two black holes.
Externí odkaz:
http://arxiv.org/abs/gr-qc/0209043
In this work we propose a novel ensemble model based on deep learning and non-deep learning classifiers. The proposed model was developed by our team for participating at the Profiling Irony and Stereotype Spreaders (ISSs) task hosted at PAN@CLEF2022
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3658::40b909d64de687e04e6a9d05b6f7d3c9
http://hdl.handle.net/10447/567982
http://hdl.handle.net/10447/567982
In this article, Figs.1a, 2a-c, 9 and 11 should have appeared as shown below. The original article has been corrected.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3658::195b5f773f0f742c62aaca285d0a20f1
http://hdl.handle.net/10447/564222
http://hdl.handle.net/10447/564222
The problem we address in this work is classifying whether a Twitter user has spread Irony and Stereotype or not. We used a text vectorization layer to generate Bag-Of-Words sequences. Then such sequences are passed to three different text classifier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3658::e034501786b0c6dfaac43a89e3251363
http://hdl.handle.net/10447/567983
http://hdl.handle.net/10447/567983
In this paper we describe a deep learning model based on a Data Augmentation (DA) layer followed by a Convolutional Neural Network (CNN). The proposed model was developed by our team for the Profiling Irony and Stereotype Spreaders (ISSs) task propos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3658::01433fd3a1b03a0591582730073a7e06
http://hdl.handle.net/10447/567984
http://hdl.handle.net/10447/567984
Akademický článek
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Autor:
Macaluso M, Siino M
This paper presents the results of a cyber-ethnographic study. The research analyzes the dynamics that make, calm and increase the radicalization narratives. This study is part of the Oltre project (ISF - DG Migration and Home Affairs, EU) which dire
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3658::554dbec8aacec91ab7fe93858d70701f
http://hdl.handle.net/10447/516076
http://hdl.handle.net/10447/516076
This paper deals with the OLTRE project (ISF - DG Migration and Home Affairs, EU) funded for preventing the radicalization of the second-generation of migrants in Italy. This essay aims to study the production of an online communication campaign co-d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3658::104eb1d7a654a179c389c0a211d63982
http://hdl.handle.net/10447/516068
http://hdl.handle.net/10447/516068
The second generations (2G) do not have a static and homogeneous ethnic identity, but multiple and transnational identities. The lack of recognition as citizens and their perceived discrimination and feelings of exclusion often can have backwash on t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3658::cc60a03b06c60f7a5a55f94b3fa073b7
http://hdl.handle.net/10447/531435
http://hdl.handle.net/10447/531435