Etienne Gael Tajeuna

Orcid: 0000-0002-0295-1446

According to our database1, Etienne Gael Tajeuna authored at least 21 papers between 2015 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
CAARL: In-Context Learning for Interpretable Co-Evolving Time Series Forecasting.
CoRR, April, 2026

Toward Sports Betting as a Financial Asset: An Investigative Analysis of Risk, Investment Potential, and Future Perspectives.
IEEE Access, 2026

Risk Parity vs. Kelly Criterion: An Empirical Evaluation of Bankroll Allocation Strategies in Football Value Betting.
Proceedings of the Sports Analytics - Third International Conference, 2026

2025
GRAVITY: A Controversial Graph Representation Learning for Vertex Classification.
CoRR, August, 2025

Causal Graph Modeling of Network Traffic for Early Cyberattack Prediction.
Proceedings of the Foundations and Practice of Security, 2025

Multi-state Survival Framework for Modeling Sentiment Shifts in Social Media.
Proceedings of the Social Networks Analysis and Mining - 17th International Conference, 2025

2024
A Systematic Review of Machine Learning in Sports Betting: Techniques, Challenges, and Future Directions.
CoRR, 2024

2023
Modeling Regime Shifts in Multiple Time Series.
ACM Trans. Knowl. Discov. Data, 2023

Rethinking Temporal Dependencies in Multiple Time Series: A Use Case in Financial Data.
Proceedings of the IEEE International Conference on Data Mining, 2023

Modeling Time-Varying User Attitudes in Social Media.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Tracking User Sentiment Changes on Social Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

2022
Dynamic Cox-Regression for Motif Prediction in Co-Evolving Time Series Data.
Proceedings of the International Joint Conference on Neural Networks, 2022

A Longitudinal Study of Customer Electricity Load Profiles.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

A Time-Dependent-Based Approach to Enhance Self-Harm Prediction.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

2021
Mining Customers' Changeable Electricity Consumption for Effective Load Forecasting.
ACM Trans. Intell. Syst. Technol., 2021

2019
Modeling and Predicting Community Structure Changes in Time-Evolving Social Networks.
IEEE Trans. Knowl. Data Eng., 2019

2018
A Network-Based Approach to Enhance Electricity Load Forecasting.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017
Survival analysis for modeling critical events that communities may undergo in dynamic social networks.
Proceedings of the Symposium on Applied Computing, 2017

A Comparative Study of Different Approaches for Tracking Communities in Evolving Social Networks.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

2016
Tracking Communities over Time in Dynamic Social Network.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016

2015
Tracking the evolution of community structures in time-evolving social networks.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015


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