Michael Franklin Mbouopda

According to our database, Michael Franklin Mbouopda authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Scalable and accurate subsequence transform for time series classification.

Michael Franklin Mbouopda, Engelbert Mephu Nguifo

Pattern Recognit., March, 2024

SEDAF : Prototype d'un Système Explicable de Détection d'Anomalies dans les Flux de Données.

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

Proceedings of the Extraction et Gestion des Connaissances, 2024

2022

Explainable Classification of Uncertain Time Series. (Classification Explicable de Séries Temporelles Incertaines).

Michael Franklin Mbouopda

PhD thesis, 2022

Explainable classification of astronomical uncertain time series.

Michael Franklin Mbouopda, Emille E. O. Ishida, Engelbert Mephu Nguifo, Emmanuel Gangler

CoRR, 2022

A survey on unsupervised learning algorithms for detecting abnormal points in streaming data.

Anne Marthe Sophie Ngo Bibinbe, Michael Franklin Mbouopda, Gertrude Raissa Mbiadou Saleu, Engelbert Mephu Nguifo

Proceedings of the International Joint Conference on Neural Networks, 2022

DragStream: An Anomaly And Concept Drift Detector In Univariate Data Streams.

Anne Marthe Sophie Ngo Bibinbe, Abdoul Jalil Djiberou Mahamadou, Michael Franklin Mbouopda, Engelbert Mephu Nguifo

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Etude de la prédiction du niveau de la nappe phréatique à l'aide de modèles neuronaux convolutif, récurrent et résiduel.

Michael Franklin Mbouopda

Proceedings of the Extraction et Gestion des Connaissances, 2022

Évaluation comparative de méthodes non supervisées pour la détection de points anormaux dans les flux de données.

Anne Marthe Sophie Ngo Bibinbe, Michael Franklin Mbouopda, Gertrude Raissa Mbiadou Saleu, Engelbert Mephu Nguifo

Proceedings of the Extraction et Gestion des Connaissances, 2022

Experimental Study of Time Series Forecasting Methods for Groundwater Level Prediction.

Michael Franklin Mbouopda, Thomas Guyet, Nicolas Labroche, Abel Henriot

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2022

2021

Uncertain Time Series Classification.

Michael Franklin Mbouopda

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Neurals Networks for Projecting Named Entities from English to Ewondo.

Michael Franklin Mbouopda, Paulin Melatagia Yonta, Guy Stephane B. Fedim Lombo

Proceedings of the 1st AfricaNLP Workshop Proceedings, 2020

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].

Paulin Melatagia Yonta, Michael Franklin Mbouopda

ARIMA J., 2020

Uncertain Time Series Classification with Shapelet Transform.

Michael Franklin Mbouopda, Engelbert Mephu Nguifo

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

Classification des séries temporelles incertaines par transformation Shapelet.

Michael Franklin Mbouopda, Engelbert Mephu Nguifo

Proceedings of the Conférence Nationale en Intelligence Artificielle, 2020

2019

Classification des S{é}ries Temporelles Incertaines par Transformation Shapelet.

Michael Mbouopda, Engelbert Mephu Nguifo

CoRR, 2019

A Word Representation to Improve Named Entity Recognition in Low-resource Languages.

Michael Franklin Mbouopda, Paulin Melatagia Yonta

Proceedings of the Sixth International Conference on Social Networks Analysis, 2019