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pro vyhledávání: '"Mbouopda, Michael Franklin"'
Exploring the expansion history of the universe, understanding its evolutionary stages, and predicting its future evolution are important goals in astrophysics. Today, machine learning tools are used to help achieving these goals by analyzing transie
Externí odkaz:
http://arxiv.org/abs/2210.00869
Publikováno v:
ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data, Sep 2022, Grenoble, France. pp.1-16
Groundwater level prediction is an applied time series forecasting task with important social impacts to optimize water management as well as preventing some natural disasters: for instance, floods or severe droughts. Machine learning methods have be
Externí odkaz:
http://arxiv.org/abs/2209.13927
Publikováno v:
2020 IEEE International Conference on Data Mining Workshops (ICDMW)
Time series classification is a task that aims at classifying chronological data. It is used in a diverse range of domains such as meteorology, medicine and physics. In the last decade, many algorithms have been built to perform this task with very a
Externí odkaz:
http://arxiv.org/abs/2102.02090
Publikováno v:
In Pattern Recognition March 2024 147
Publikováno v:
International Conference on Learning Representations, AfricaNLP Workshop 2020
Named entity recognition is an important task in natural language processing. It is very well studied for rich language, but still under explored for low-resource languages. The main reason is that the existing techniques required a lot of annotated
Externí odkaz:
http://arxiv.org/abs/2004.13841
Publikováno v:
Advanced Analytics and Learning on Temporal Data ISBN: 9783031243776
Advanced Analytics and Learning on Temporal Data. AALTD 2022. Lecture Notes in Computer Science
International Workshop on Advanced Analytics and Learning on Temporal Data
International Workshop on Advanced Analytics and Learning on Temporal Data, Sep 2022, Grenoble, France. pp.34-49, ⟨10.1007/978-3-031-24378-3_3⟩
Advanced Analytics and Learning on Temporal Data. AALTD 2022. Lecture Notes in Computer Science
International Workshop on Advanced Analytics and Learning on Temporal Data
International Workshop on Advanced Analytics and Learning on Temporal Data, Sep 2022, Grenoble, France. pp.34-49, ⟨10.1007/978-3-031-24378-3_3⟩
International audience; Groundwater level prediction is an applied time series forecasting task with important social impacts to optimize water management as well as preventing some natural disasters: for instance, floods or severe droughts. Machine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af870500163ab447d19f94c1235ac767
https://doi.org/10.1007/978-3-031-24378-3_3
https://doi.org/10.1007/978-3-031-24378-3_3
Autor:
Mbouopda, Michael Franklin
Publikováno v:
Other [cs.OH]. Université Clermont Auvergne, 2022. English. ⟨NNT : 2022UCFAC079⟩
Time series classification is one of the must studied and applied time series analysis tasks. Several methods have been proposed to perform this task accurately, efficiently and sometimes in an explainable way. However, situations where the time seri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2885::5de9684c4aa835462aa7b43da7473be8
https://theses.hal.science/tel-04098948/document
https://theses.hal.science/tel-04098948/document