Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Michael Franklin Mbouopda"'
Autor:
Anne Marthe Sophie Ngo Bibinbe, Abdoul J. Mahamadou, Michael Franklin Mbouopda, Engelbert Mephu Nguifo
Publikováno v:
2022 IEEE International Conference on Data Mining Workshops (ICDMW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::982bd30de6892ec281d5d6202abf78d1
https://doi.org/10.1109/icdmw58026.2022.00113
https://doi.org/10.1109/icdmw58026.2022.00113
Autor:
Anne Marthe Sophie Ngo Bibinbe, Michael Franklin Mbouopda, Gertrude Raissa Mbiadou Saleu, Engelbert Mephu Nguifo
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebe4ac7d57bfd5dcd45b72666dee7c38
https://doi.org/10.1109/ijcnn55064.2022.9892195
https://doi.org/10.1109/ijcnn55064.2022.9892195
Autor:
Michael Franklin Mbouopda
Publikováno v:
IJCAI
Time series analysis has gained a lot of interest during the last decade with diverse applications in a large range of domains such as medicine, physic, and industry. The field of time series classification has been particularly active recently with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f6affa7c1d2d20af1afebfc24df6bc2
https://doi.org/10.24963/ijcai.2021/683
https://doi.org/10.24963/ijcai.2021/683
Publikováno v:
ICDM (Workshops)
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69b1f232d9c7071d292442b661222a37
http://arxiv.org/abs/2102.02090
http://arxiv.org/abs/2102.02090
Publikováno v:
Revue Africaine de la Recherche en Informatique et Mathématiques Appliquées
Revue Africaine de la Recherche en Informatique et Mathématiques Appliquées, INRIA, 2020, Special issue CRI 2019, Volume 33-2020-Special issue CRI 2019, pp.1-11
Revue Africaine de la Recherche en Informatique et Mathématiques Appliquées, INRIA, 2020, Special issue CRI 2019, Volume 33-2020-Special issue CRI 2019, pp.1-11
Named Entity Recognition (NER) is a fundamental task in many NLP applications that seek to identify and classify expressions such as people, location, and organization names. Many NER systems have been developed, but the annotated data needed for goo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d1e1783347ab72bcc91979c9d23afe5
https://doi.org/10.46298/arima.6439
https://doi.org/10.46298/arima.6439
Publikováno v:
SNAMS
Named Entity Recognition (NER) is a fundamental task in many NLP applications that seek to identify and classify expressions such as people, location, and organization names. Many NER systems have been developed, but the annotated data needed for lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::227e4856dfbd676e9f5fb39f90026d09
https://doi.org/10.1109/snams.2019.8931727
https://doi.org/10.1109/snams.2019.8931727