Edith Belise Kenmogne

Orcid: 0000-0002-0149-4167

According to our database1, Edith Belise Kenmogne authored at least 14 papers between 2016 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Designing a Gradual Support Inference Graph to Improve the Performance of Frequent Gradual Pattern Extraction Algorithms.
New Gener. Comput., August, 2026

SSL-SLR: Self-Supervised Representation Learning for Sign Language Recognition.
Trans. Mach. Learn. Res., 2026

2025
Robust sparse k-means clustering against STOF observations.
Int. J. Data Sci. Anal., December, 2025

SL-SLR: Self-Supervised Representation Learning for Sign Language Recognition.
CoRR, September, 2025

Support estimation in frequent itemsets mining on Enriched Two Level Tree.
Inf. Syst., 2025

Local-Global Data Augmentation for Contrastive Learning in Static Sign Language Recognition.
Proceedings of the Advances in Intelligent Data Analysis XXIII, 2025

Benchmarking Data Augmentation for Contrastive Learning in Static Sign Language Recognition.
Proceedings of the 33rd European Symposium on Artificial Neural Networks, 2025

2024
An Improved Algorithm for Extracting Frequent Gradual Patterns.
Informatica, 2024

Fast k-means with Stable Instance Sets.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
A novel algorithm for mining maximal frequent gradual patterns.
Eng. Appl. Artif. Intell., April, 2023

2022
Efficient mining of intra-periodic frequent sequences.
Array, 2022

2017
A pattern growth-based sequential pattern mining algorithm called prefixSuffixSpan.
EAI Endorsed Trans. Scalable Inf. Syst., 2017

The Impact of the Pattern-Growth Ordering on the Performances of Pattern Growth-Based Sequential Pattern Mining Algorithms.
Comput. Inf. Sci., 2017

2016
A traditional-learning time predictive approach for e-learning systems in challenging environments.
EAI Endorsed Trans. e Learn., 2016


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