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ORCIDMichael Franklin Mbouopda
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Books and Theses
- 2022
[b1]Michael Franklin Mbouopda:
Explainable Classification of Uncertain Time Series. (Classification Explicable de Séries Temporelles Incertaines). University of Clermont Auvergne, Clermont-Ferrand, France, 2022
Journal Articles
- 2024
- [j2]Michael Franklin Mbouopda
, Engelbert Mephu Nguifo:
Scalable and accurate subsequence transform for time series classification. Pattern Recognit. 147: 110121 (2024) - 2020
- [j1]Paulin Melatagia Yonta, Michael Franklin Mbouopda:
Roconnaissance des Entités Nommées En Langues Peu Dotées En Utilisant La Représentation Distributionnelle Multiligue [Named Entity Recognition in Low-resource Languages using Cross-lingual distributional word representation]. ARIMA J. 33: 4 (2020)
Conference and Workshop Papers
- 2024
- [c11]Florentin Flambeau Jiechieu Kameni, Anne Marthe Sophie Ngo Bibinbe, Vasilis Cako, Abdoul Jalil Djiberou Mahamadou, Mohamed Rayane Bakari, Kevin Dilan Nguetche, Durande Kamga Nguifo, Anthony Bertrand, Michael Franklin Mbouopda, Rim El Cheikh, Gertrude Raissa Mbiadou Saleu, Engelbert Mephu Nguifo:
SEDAF : Prototype d'un Système Explicable de Détection d'Anomalies dans les Flux de Données. EGC 2024: 441-448 - 2022
- [c10]Michael Franklin Mbouopda, Thomas Guyet, Nicolas Labroche, Abel Henriot:
Experimental Study of Time Series Forecasting Methods for Groundwater Level Prediction. AALTD@ECML/PKDD 2022: 34-49 - [c9]Michael Franklin Mbouopda:
Etude de la prédiction du niveau de la nappe phréatique à l'aide de modèles neuronaux convolutif, récurrent et résiduel. EGC 2022: 313-320 - [c8]Anne Marthe Sophie Ngo Bibinbe, Michael Franklin Mbouopda, Gertrude Raissa Mbiadou Saleu, Engelbert Mephu Nguifo:
Évaluation comparative de méthodes non supervisées pour la détection de points anormaux dans les flux de données. EGC 2022: 493-494 - [c7]Anne Marthe Sophie Ngo Bibinbe, Abdoul Jalil Djiberou Mahamadou, Michael Franklin Mbouopda, Engelbert Mephu Nguifo:
DragStream: An Anomaly And Concept Drift Detector In Univariate Data Streams. ICDM (Workshops) 2022: 842-851 - [c6]Anne Marthe Sophie Ngo Bibinbe, Michael Franklin Mbouopda, Gertrude Raissa Mbiadou Saleu, Engelbert Mephu Nguifo:
A survey on unsupervised learning algorithms for detecting abnormal points in streaming data. IJCNN 2022: 1-8 - 2021
- [c5]Michael Franklin Mbouopda:
Uncertain Time Series Classification. IJCAI 2021: 4903-4904 - 2020
- [c4]Michael Franklin Mbouopda, Engelbert Mephu Nguifo:
Classification des séries temporelles incertaines par transformation Shapelet. CNIA 2020: 14-21 - [c3]Michael Franklin Mbouopda, Engelbert Mephu Nguifo:
Uncertain Time Series Classification with Shapelet Transform. ICDM (Workshops) 2020: 259-266 - [c2]Michael Franklin Mbouopda, Paulin Melatagia Yonta, Guy Stephane B. Fedim Lombo:
Neurals Networks for Projecting Named Entities from English to Ewondo. AfricaNLP 2020 - 2019
- [c1]Michael Franklin Mbouopda, Paulin Melatagia Yonta:
A Word Representation to Improve Named Entity Recognition in Low-resource Languages. SNAMS 2019: 333-337
Informal and Other Publications
- 2022
- [i4]Michael Franklin Mbouopda, Thomas Guyet, Nicolas Labroche, Abel Henriot:
Experimental study of time series forecasting methods for groundwater level prediction. CoRR abs/2209.13927 (2022) - [i3]Michael Franklin Mbouopda, Emille E. O. Ishida, Engelbert Mephu Nguifo, Emmanuel Gangler:
Explainable classification of astronomical uncertain time series. CoRR abs/2210.00869 (2022) - 2021
- [i2]Michael Franklin Mbouopda, Engelbert Mephu Nguifo:
Uncertain Time Series Classification With Shapelet Transform. CoRR abs/2102.02090 (2021) - 2019
- [i1]Michael Mbouopda, Engelbert Mephu Nguifo:
Classification des S{é}ries Temporelles Incertaines par Transformation Shapelet. CoRR abs/1912.08919 (2019)
Coauthor Index
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