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Denys, P.-F., Fournier, Q., & Dagenais, M. (2023). Distributed computation of the critical path from execution traces. Software: Practice and Experience, 53(8), 1722-1737. Lien externe
Ezzati-Jivan, N., Fournier, Q., Dagenais, M., & Hamou-Lhadj, A. (septembre 2020). DepGraph: Localizing Performance Bottlenecks in Multi-Core Applications Using Waiting Dependency Graphs and Software Tracing [Communication écrite]. 2020 IEEE 20th International Working Conference on Source Code Analysis and Manipulation (SCAM 2020), Adelaide, Australia. Lien externe
Fournier, Q., Caron, G. M., & Aloise, D. (2023). A Practical Survey on Faster and Lighter Transformers. ACM Computing Surveys, 55(14s), 1-40. Lien externe
Fournier, Q. (2022). Machine Learning for Anomaly Detection in Kernel Traces [Thèse de doctorat, Polytechnique Montréal]. Disponible
Fournier, Q., Aloise, D., Azhari, S. V., & Tétreault, F. (mai 2021). On improving deep learning trace analysis with system call arguments [Communication écrite]. 18th IEEE/ACM International Conference on Mining Software Repositories (MSR 2021), Madrid, Spain. Lien externe
Fournier, Q., Ezzati-Jivan, N., Aloise, D., & Dagenais, M. (octobre 2019). Automatic cause detection of performance problems in web applications [Communication écrite]. 30th IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW 2019), Berlin, Germany. Lien externe
Fournier, Q., & Aloise, D. (juin 2019). Empirical Comparison between Autoencoders and Traditional Dimensionality Reduction Methods [Communication écrite]. IEEE Second International Conference on Artificial Intelligence and Knowledge Engineering (AIKE 2019), Sardinia, Italy. Lien externe
Khanahmadi, M., Shameli-Sendi, A., Jabbarifar, M., Fournier, Q., & Dagenais, M. (2023). Detection of microservice-based software anomalies based on OpenTracing in cloud. Software: Practice and Experience, 53(8), 1681-1699. Lien externe
Khodayarseresht, E., Shameli-Sendi, A., Fournier, Q., & Dagenais, M. (2023). Energy and carbon-aware initial VM placement in geographically distributed cloud data centers. Sustainable Computing: Informatics and Systems, 39, 11 pages. Lien externe
Patel, S., Park, B., Ezzati-jivan, N., & Fournier, Q. (décembre 2021). Automated Cause Analysis of Latency Outliers Using System-Level Dependency Graphs [Communication écrite]. 2021 IEEE 21st International Conference on Software Quality, Reliability and Security (QRS 2021), Hainan, China. Lien externe
