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pro vyhledávání: '"Ayme A"'
Publikováno v:
PLoS ONE, Vol 19, Iss 7, p e0306521 (2024)
THIS ARTICLE USES WORDS OR LANGUAGE THAT IS CONSIDERED PROFANE, VULGAR, OR OFFENSIVE BY SOME READERS. Hate speech detection in online social networks is a multidimensional problem, dependent on language and cultural factors. Most supervised learning
Externí odkaz:
https://doaj.org/article/e67a07c8fb72425ab3bbeccb78841450
Autor:
Geordan Goire Guevara, Abel Salas Faure, Yassel Arias Otamendy, Abel Yoandri Leyva Quert, Annia de la Caridad Aguirre Ruiz, Yaumara Knight Fernádez, Ronnie Arévalo Pérez, Yudiel González Guevara, Sandor Peña Oliva, Ayme Alberna Cardosa
Publikováno v:
Revista Cubana de Cardiología y Cirugía Cardiovascular, Vol 25, Iss 2, Pp 237-245 (2019)
Las fístulas arteriovenosascoronarias son malformaciones congénitas o adquiridas muy raras. Consisten en la comunicación directa entre las arterias coronarias y el lúmen de una de las cuatro cámaras cardíacas o el seno coronario o sus venas tri
Externí odkaz:
https://doaj.org/article/88646db33f4e43b5b03b30225dbd745d
Supervised learning with missing data aims at building the best prediction of a target output based on partially-observed inputs. Major approaches to address this problem can be decomposed into $(i)$ impute-then-predict strategies, which first fill i
Externí odkaz:
http://arxiv.org/abs/2405.09196
Constant (naive) imputation is still widely used in practice as this is a first easy-to-use technique to deal with missing data. Yet, this simple method could be expected to induce a large bias for prediction purposes, as the imputed input may strong
Externí odkaz:
http://arxiv.org/abs/2402.03839
Two different approaches exist to handle missing values for prediction: either imputation, prior to fitting any predictive algorithms, or dedicated methods able to natively incorporate missing values. While imputation is widely (and easily) use, it i
Externí odkaz:
http://arxiv.org/abs/2301.13585
Missing values arise in most real-world data sets due to the aggregation of multiple sources and intrinsically missing information (sensor failure, unanswered questions in surveys...). In fact, the very nature of missing values usually prevents us fr
Externí odkaz:
http://arxiv.org/abs/2202.01463
Autor:
Monnar, Ayme Arango1 (AUTHOR) arangoayme@gmail.com, Perez Rojas, Jorge2 (AUTHOR), Labra, Barbara Polete1,3 (AUTHOR)
Publikováno v:
PLoS ONE. 7/30/2024, Vol. 19 Issue 7, p1-18. 18p.
Autor:
Caradant, Léa, Foran, Gabrielle, Lepage, David, Nicolle, Paul, Prébé, Arnaud, Aymé-Perrot, David, Dollé, Mickaël
Publikováno v:
In Journal of Power Sources Advances August 2024 28
Autor:
Thieffry, Sylvia, Aubert, Julie, Devers-Lamrani, Marion, Martin-Laurent, Fabrice, Romdhane, Sana, Rouard, Nadine, Siol, Mathieu, Spor, Aymé
Publikováno v:
In Journal of Hazardous Materials 5 June 2024 471
Autor:
Moreira, Natália Kehl, Wilhelm, Camila Mörschbächer, Collar, Gabriela da Silva, Echevarria, Aymê Duarte, Becker, Júlia, Barth, Afonso Luís, Caierão, Juliana
Publikováno v:
In Journal of Microbiological Methods June 2024 221