4 citations · 5 across the 4 of their papers we have counts for
5 papers
Explainable classification of astronomical uncertain time series
Michael Franklin Mbouopda, Emille E. O. Ishida, Engelbert Mephu Nguifo +1
Exploring the expansion history of the universe, understanding its evolutionary stages, and predicting its future evolution are important goals in astrophysics. Today, machine lear…
Experimental study of time series forecasting methods for groundwater level prediction
Michael Franklin Mbouopda, Thomas Guyet, Nicolas Labroche +1
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…
Uncertain Time Series Classification With Shapelet Transform
Michael Franklin Mbouopda, Engelbert Mephu Nguifo
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 de…
Neurals Networks for Projecting Named Entities from English to Ewondo
Michael Franklin Mbouopda, Paulin Melatagia Yonta, Guy Stephane B. Fedim Lombo
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 ma…
Classification des S{é}ries Temporelles Incertaines par Transformation Shapelet
Michael Mbouopda, Engelbert Mephu Nguifo
Time serie classification is used in a diverse range of domain such as meteorology, medicine and physics. It aims to classify chronological data. Many accurate approaches have been…