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pro vyhledávání: '"Toselli, Alejandro"'
Autor:
Korenčić, Damir, Chulvi, Berta, Casals, Xavier Bonet, Toselli, Alejandro, Taulé, Mariona, Rosso, Paolo
The current prevalence of conspiracy theories on the internet is a significant issue, tackled by many computational approaches. However, these approaches fail to recognize the relevance of distinguishing between texts which contain a conspiracy theor
Externí odkaz:
http://arxiv.org/abs/2407.10745
The evaluation of Handwritten Text Recognition (HTR) systems has traditionally used metrics based on the edit distance between HTR and ground truth (GT) transcripts, at both the character and word levels. This is very adequate when the experimental p
Externí odkaz:
http://arxiv.org/abs/2301.05935
In this paper we raise the research question of whether fake news and hate speech spreaders share common patterns in language. We compute a novel index, the ingroup vs outgroup index, in three different datasets and we show that both phenomena share
Externí odkaz:
http://arxiv.org/abs/2212.02352
Autor:
Prieto, José Ramón, Flores, Juan José, Vidal, Enrique, Toselli, Alejandro H., Garrido, David, Alonso, Carlos
Huge amounts of digital page images of important manuscripts are preserved in archives worldwide. The amounts are so large that it is generally unfeasible for archivists to adequately tag most of the documents with the required metadata so as to low
Externí odkaz:
http://arxiv.org/abs/2206.13342
Archivists, textual scholars, and historians often produce digital editions of historical documents. Using markup schemes such as those of the Text Encoding Initiative and EpiDoc, these digital editions often record documents' semantic regions (such
Externí odkaz:
http://arxiv.org/abs/2112.12703
Autor:
Junior, Celso A. M. Lopes, Junior, Ricardo B. das Neves, Bezerra, Byron L. D., Toselli, Alejandro H., Impedovo, Donato
This paper describes the short-term competition on the Components Segmentation Task of Document Photos that was prepared in the context of the 16th International Conference on Document Analysis and Recognition (ICDAR 2021). This competition aims to b
Externí odkaz:
http://arxiv.org/abs/2106.08499
Publikováno v:
In Pattern Recognition Letters August 2023 172:113-120
Autor:
Vidal, Enrique1 (AUTHOR) evidal@prhlt.upv.es, Toselli, Alejandro H.1 (AUTHOR), Puigcerver, Joan1,2 (AUTHOR)
Publikováno v:
Neural Computing & Applications. Aug2023, Vol. 35 Issue 24, p17501-17520. 20p.
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