Tracking the evolution of community structures in time-evolving social networks. - Etienne Gael Tajeuna; Mohamed Bouguessa; Shengrui Wang (DSAA, 2015)

Tracking Communities over Time in Dynamic Social Network. - Etienne Gael Tajeuna; Mohamed Bouguessa; Shengrui Wang (MLDM, 2016)

A Comparative Study of Different Approaches for Tracking Communities in Evolving Social Networks. - Ziwei He; Etienne Gael Tajeuna; Shengrui Wang; Mohamed Bouguessa (DSAA, 2017)

Survival analysis for modeling critical events that communities may undergo in dynamic social networks. - Etienne Gael Tajeuna; Mohamed Bouguessa; Shengrui Wang (SAC, 2017)

A Network-Based Approach to Enhance Electricity Load Forecasting. - Etienne Gael Tajeuna; Mohamed Bouguessa; Shengrui Wang (ICDM Workshops, 2018)

Modeling and Predicting Community Structure Changes in Time-Evolving Social Networks. - Etienne Gael Tajeuna; Mohamed Bouguessa; Shengrui Wang (IEEE Trans. Knowl. Data Eng., 2019)

Mining Customers' Changeable Electricity Consumption for Effective Load Forecasting. - Etienne Gael Tajeuna; Mohamed Bouguessa; Shengrui Wang (ACM Trans. Intell. Syst. Technol., 2021)

A Time-Dependent-Based Approach to Enhance Self-Harm Prediction. - Etienne Gael Tajeuna; Mohamed Bouguessa (ASONAM, 2022)

A Longitudinal Study of Customer Electricity Load Profiles. - Etienne Gael Tajeuna; Mohamed Bouguessa; Shengrui Wang (COMPSAC, 2022)

Dynamic Cox-Regression for Motif Prediction in Co-Evolving Time Series Data. - Etienne Gael Tajeuna; Mohamed Bouguessa (IJCNN, 2022)

Tracking User Sentiment Changes on Social Networks. - Ahmed F. M. Fahmy; Etienne Gael Tajeuna; Mohamed Bouguessa (ASONAM, 2023)

Modeling Time-Varying User Attitudes in Social Media. - Etienne Gael Tajeuna; Ahmed F. M. Fahmy; Mohamed Bouguessa (COMPSAC, 2023)

Rethinking Temporal Dependencies in Multiple Time Series: A Use Case in Financial Data. - Patrick Asante Owusu; Etienne Gael Tajeuna; Jean-Marc Patenaude; Armelle Brun; Shengrui Wang (ICDM, 2023)

Modeling Regime Shifts in Multiple Time Series. - Etienne Gael Tajeuna; Mohamed Bouguessa; Shengrui Wang (ACM Trans. Knowl. Discov. Data, 2023)

A Systematic Review of Machine Learning in Sports Betting: Techniques, Challenges, and Future Directions. - René Manassé Galekwa; Jean Marie Tshimula; Etienne Gael Tajeuna; Kyandoghere Kyamakya (CoRR, 2024)

GRAVITY: A Controversial Graph Representation Learning for Vertex Classification. - Etienne Gael Tajeuna; Jean Marie Tshimula (CoRR, 2025)