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Antoniol, G., Canfora, G., Casazza, G., Lucia, A. D., & Merlo, E. (2025). Recovering Traceability Links Between Code and Documentation: a Retrospective. IEEE Transactions on Software Engineering, 1-8. Lien externe
Djian, B. P. P., Merlo, E., Gambs, S., & Ngueveu, R. C. (2025). Fairness Evaluation of Neural Networks Through Computational Profile Likelihood. Computational Intelligence, 41(5), 11 pages. Lien externe
Foalem, P. L., Da Silva, L. M. P., Khomh, F., Li, H., & Merlo, E. (2025). Logging requirement for continuous auditing of responsible machine learning-based applications. Empirical Software Engineering, 30(3), 97 (37 pages). Lien externe
Qin, Q., & Merlo, E. (2025). Prune bias from the root: Bias removal and fairness estimation by pruning sensitive attributes in pre-trained DNN models. Information and Software Technology, 189, 107906 (12 pages). Lien externe
Qin, Q., Aghili, R., Li, H., & Merlo, E. (mars 2025). Preprocessing is All You Need: Boosting the Performance of Log Parsers with a General Preprocessing Framework [Communication écrite]. IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2025), Montreal, QC, Canada. Lien externe
Qin, Q., Djian, B. P. P., Merlo, E., Li, H., & Gambs, S. (2025). Representation-based fairness evaluation and bias correction robustness assessment in neural networks. Information and Software Technology, 107876 (21 pages). Lien externe
Qin, Q., Li, H., Merlo, E., & Lamothe, M. (2025). Automated, Unsupervised, and Auto-parameterized Inference of Data Patterns and Anomaly Detection [Ensemble de données]. Lien externe
Qin, Q., Li, H., Merlo, E., & Lamothe, M. (avril 2025). Automated, Unsupervised, and Auto-Parameterized Inference of Data Patterns and Anomaly Detection [Communication écrite]. 47th International Conference on Software Engineering (ICSE 2025), Ottawa, ON, Canada. Lien externe
