127 citations · 366 across the 27 of their papers we have counts for
6 papers · 1 filter
A K-Means, Ward and DBSCAN repeatability study
Anthony Bertrand, Engelbert Mephu Nguifo, Violaine Antoine +1
Reproducibility is essential in machine learning because it ensures that a model or experiment yields the same scientific conclusion. For specific algorithms repeatability with bit…
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…
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…
Discovering Frequent Gradual Itemsets with Imprecise Data
Michaël Chirmeni Boujike, Jerry Lonlac, Norbert Tsopze +1
The gradual patterns that model the complex co-variations of attributes of the form "The more/less X, The more/less Y" play a crucial role in many real world applications where the…
Multiple instance learning for sequence data with across bag dependencies
Manel Zoghlami, Sabeur Aridhi, Mondher Maddouri +1
In Multiple Instance Learning (MIL) problem for sequence data, the instances inside the bags are sequences. In some real world applications such as bioinformatics, comparing a rand…
Feature extraction in protein sequences classification : a new stability measure
Rabie Saidi, Sabeur Aridhi, Mondher Maddouri +1
Feature extraction is an unavoidable task, especially in the critical step of preprocessing biological sequences. This step consists for example in transforming the biological sequ…