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

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

A pattern growth-based sequential pattern mining algorithm called prefixSuffixSpan. - Kenmogne Edith Belise; Tadmon Calvin; Roger Nkambou (EAI Endorsed Trans. Scalable Inf. Syst., 2017)

Efficient mining of intra-periodic frequent sequences. - Kenmogne Edith Belise; Clémentin Tayou Djamégni; Roger Nkambou; Laurent Cabrel Tabueu Fotso; Tadmon Calvin (Array, 2022)

A novel algorithm for mining maximal frequent gradual patterns. - Kenmogne Edith Belise; Laurent Cabrel Tabueu Fotso; Clémentin Tayou Djamégni (Eng. Appl. Artif. Intell., 2023)

Fast k-means with Stable Instance Sets. - Ariel Basso Madjoukeng; Kenmogne Edith Belise; Benoît Frénay (IJCNN, 2024)

An Improved Algorithm for Extracting Frequent Gradual Patterns. - Kenmogne Edith Belise; Idriss Tetakouchom; Clémentin Tayou Djamégni; Roger Nkambou; Laurent Cabrel Tabueu Fotso (Informatica, 2024)

Local-Global Data Augmentation for Contrastive Learning in Static Sign Language Recognition. - Ariel Basso Madjoukeng; Kenmogne Edith Belise; Pierre Poitier; Benoît Frénay; Jérôme Fink (IDA, 2025)

Support estimation in frequent itemsets mining on Enriched Two Level Tree. - Clémentin Tayou Djamégni; William Kery Branston Ndemaze; Kenmogne Edith Belise; Hervé Maradona Nana Kouassi; Arnauld Nzegha Fountsop; Idriss Tetakouchom; Laurent Cabrel Tabueu Fotso (Inf. Syst., 2025)