Zobrazeno 1 - 10
of 170
pro vyhledávání: '"Nathalie Japkowicz"'
Publikováno v:
IEEE Access, Vol 12, Pp 41364-41380 (2024)
Anomaly detection is of paramount importance in many real-world domains characterized by evolving behavior, such as monitoring cyber-physical systems, human conditions and network traffic. Current research in anomaly detection leverages offline learn
Externí odkaz:
https://doaj.org/article/35de4a0e74404d56a63474116388d2be
Publikováno v:
IEEE Access, Vol 11, Pp 70977-71002 (2023)
Machine-generated text is increasingly difficult to distinguish from text authored by humans. Powerful open-source models are freely available, and user-friendly tools that democratize access to generative models are proliferating. ChatGPT, which was
Externí odkaz:
https://doaj.org/article/f966d7c90c8545f189fae81638cfcd89
Publikováno v:
IEEE Access, Vol 8, Pp 156053-156066 (2020)
Smart grids are power grids where clients may actively participate in energy production, storage and distribution. Smart grid management raises several challenges, including the possible changes and evolutions in terms of energy consumption and produ
Externí odkaz:
https://doaj.org/article/7692e3cd523440ec9d8ec459bacac55d
Autor:
Zhao Yang, Nathalie Japkowicz
Publikováno v:
Journal of Big Data, Vol 5, Iss 1, Pp 1-28 (2018)
Abstract In this paper, we propose a framework for processing and analysing large-scale spatio-temporal data that uses a battery of machine learning methods based on a meta-data representation of point patterns. Existing spatio-temporal analysis meth
Externí odkaz:
https://doaj.org/article/8b7fc505ca2844ac861ad95f83f037cb
Publikováno v:
Applied Artificial Intelligence, Vol 32, Iss 1, Pp 1-12 (2018)
A deep learning neural network for character-level text classification is described in this work. The system spots keywords in the text output of an optical character recognition system using memoization and by encoding the text into feature vectors
Externí odkaz:
https://doaj.org/article/32ca873c76bc4b3997888047bf446ea0
Autor:
Nathalie Japkowicz, Mohak Shah
The field of machine learning has matured to the point where many sophisticated learning approaches can be applied to practical applications. Thus it is of critical importance that researchers have the proper tools to evaluate learning approaches and
Autor:
Miriam Seoane Santos, Pedro Henriques Abreu, Nathalie Japkowicz, Alberto Fernández, João Santos
Publikováno v:
Information Fusion. 89:228-253
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b8b2f3975e85b85aca358af52a85f38
https://doi.org/10.1016/j.inffus.2022.08.017
https://doi.org/10.1016/j.inffus.2022.08.017
Publikováno v:
Neural Networks.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bcce0422a2a9cb16038f7a87e55682c2
https://doi.org/10.1016/j.neunet.2023.05.032
https://doi.org/10.1016/j.neunet.2023.05.032
Autor:
Miriam Seoane Santos, Pedro Henriques Abreu, Nathalie Japkowicz, Alberto Fernández, Carlos Soares, Szymon Wilk, João Santos
Publikováno v:
Artificial Intelligence Review. 55:6207-6275
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::270d3463899bf1018a2af969ea7401bb
https://doi.org/10.1007/s10462-022-10150-3
https://doi.org/10.1007/s10462-022-10150-3
Autor:
William Klement, Sebastien Gilbert, Virginia F. Resende, Donna E. Maziak, Andrew J. E. Seely, Farid M. Shamji, Sudhir R. Sundaresan, Patrick J. Villeneuve, Nathalie Japkowicz
Publikováno v:
International Journal of Data Science and Analytics. 13:251-263
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c91b4a7381ef92e77e1bac1e4fc75767
https://doi.org/10.1007/s41060-021-00296-8
https://doi.org/10.1007/s41060-021-00296-8