Ayah Barhrhouj

Orcid: 0009-0005-1647-3544

According to our database1, Ayah Barhrhouj authored at least 6 papers between 2024 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2025
XStacking: Explanation-Guided Stacked Ensemble Learning.
CoRR, July, 2025

XStacking : An effective and inherently explainable framework for stacked ensemble learning.
Inf. Fusion, 2025

Balancing Feature Selection, Model Accuracy, and Transparency in Maritime Machine Learning: A Trade-Off Analysis.
Proceedings of the 33rd Mediterranean Conference on Control and Automation, 2025

2024
Exploring Explainable Machine Learning for Enhanced Ship Performance Monitoring.
Proceedings of the Machine Learning, Optimization, and Data Science, 2024

Assessing the Impact of Temporal Data Aggregation on the Reliability of Predictive Machine Learning Models.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2024, 2024

Investigating the Duality of Interpretability and Explainability in Machine Learning.
Proceedings of the 36th IEEE International Conference on Tools with Artificial Intelligence, 2024


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