Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Tiago Pinho da Silva"'
Publikováno v:
Intelligent Systems ISBN: 9783031216855
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0776a4f642049e7dbac33fad5d38cd98
https://doi.org/10.1007/978-3-031-21686-2_44
https://doi.org/10.1007/978-3-031-21686-2_44
Publikováno v:
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).
Autor:
Gustavo E. A. P. A. Batista, Lucas Henrique Mantovani Jacintho, Tiago Pinho da Silva, Antonio Rafael Sabino Parmezan
Publikováno v:
Anais do Symposium on Knowledge Discovery, Mining and Learning (KDMiLe 2020).
Since 1989, the first year of the democratic presidential election after a long period of a dictatorship regime, Brazil conducted eight presidential elections. This period was marked by short and long-term shifts of power and two impeachment processe
Publikováno v:
FUZZ-IEEE
In many real-world applications data arrive continuously, in the form of streams. Such data can be used for the acquisition of knowledge by machine learning methods. In data streams learning, novelty detection is a relevant topic, which aims to ident
A Fuzzy Approach for Classification and Novelty Detection in Data Streams Under Intermediate Latency
Publikováno v:
Intelligent Systems ISBN: 9783030613792
BRACIS (2)
BRACIS (2)
Novelty detection is an important topic in data stream classification, as it is responsible for identifying the emergence of new concepts, new patterns, and outliers. It becomes necessary when the true label of an instance is not available right afte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f5e9433934d17ebfaa59545b663fd09
https://doi.org/10.1007/978-3-030-61380-8_12
https://doi.org/10.1007/978-3-030-61380-8_12
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783030134686
CIARP
CIARP
In data stream learning, classification is a prominent task which aims to predict the class labels of incoming examples. However, in classification, most of the approaches from literature make assumptions that limit the usefulness of the methods in r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abda73146353b40cedc6b25ebe96ac62
https://doi.org/10.1007/978-3-030-13469-3_34
https://doi.org/10.1007/978-3-030-13469-3_34
Publikováno v:
Knowledge-Based Systems. 108:25-32
The rapid popularization of smartphones has contributed to the growth of online Instant Messaging and SMS usage as an alternative way of communication. The increasing number of users, along with the trust they inherently have in their devices, makes
Publikováno v:
FUZZ-IEEE
In many real-world applications data arrive continuously, in the form of streams. Such data can be used for the acquisition of knowledge by machine learning methods. In data streams learning, novelty detection is a relevant topic, which aims to ident
Publikováno v:
BRACIS
In many real-world applications, data arrive sequentially in the form of streams. Processing such data poses challenges to machine learning. In data streams learning, classification problems aim to predict the true class of incoming instances in real
Autor:
Tiago Pinho da Silva
Publikováno v:
Repositório Institucional da UFAM
Universidade Federal do Amazonas (UFAM)
instacron:UFAM
Universidade Federal do Amazonas (UFAM)
instacron:UFAM
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Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::1d079a0c4d088e6c29c55b7fb10f7d4e
http://riu.ufam.edu.br/handle/prefix/3158
http://riu.ufam.edu.br/handle/prefix/3158