Documents dont le département est "Département de génie informatique et génie logiciel"

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Abdalwhab, A. B. M., Beltrame, G., & St-Onge, D. (2026). Scalable Multi-Agent Reinforcement Learning Framework for Multi-Machine Tending. IEEE Robotics and Automation Letters, 11(3), 3135-3142. Lien externe

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Dorostkar, F., Dagenais, M., Tyagi, A., & Bridgers, V. (2026). ThreadMonitor: Low‐Overhead Data Race Detection Using Intel Processor Trace. Concurrency and Computation: Practice and Experience, 38(2), 14 pages. Lien externe

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Erfan, F., Bellaïche, M., & Halabi, T. (mars 2025). Retaliation Game forMitigating Selfish Mining Attacks inBlockchain Networks [Communication écrite]. 13th EAI International Conference (GameNets 2025), Cambridge, UK. Publié dans Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Lien externe

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Jamshidi, S., Abdul Wahab, O., Herrero, R., Khomh, F., Bellaïche, M., Keivanpour, S., Shahabi, N., Nikanjam, A., & Wazed Nafi, K. (2026). Think Fast: Real-Time IoT Intrusion Reasoning Using IDS and LLMs at the Edge Gateway. IEEE Internet of Things Journal, 30 pages. Lien externe

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Computer Security – ESORICS 2025 [Communication écrite] (septembre 2025). 30th European Symposium on Research in Computer Security (ESORICS 2025), Toulouse, France. Publié dans Lecture Notes in Computer Science, 16054. Lien externe

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Qin, Q., Li, H., & Merlo, E. (2026). Unsupervised, robust, and lightweight detection of data pattern anomalies and outliers. Information and Software Technology, 192, 108035 (16 pages). Lien externe

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Rodet, H., & Séoud, L. (2026). Body shape diversity in the training data and consequences on motion generation. Computer Vision and Image Understanding, 264, 104632 (17 pages). Lien externe

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Saber, R., Carneiro, M., Montagnon, E., Tang, A., Turcotte, S., & Kadoury, S. (2026). Multi-omics fusion network for prediction of early recurrence in colorectal liver metastases. npj Precision Oncology. Lien externe

Škrlj, L., Kadoury, S., & Vrtovec, T. (septembre 2025). Transformer-Based Instance Detection in 3D Medical Images [Communication écrite]. 4th International Workshop on Applications of Medical Artificial Intelligence (AMAI 2025), Daejeon, South Korea. Publié dans Lecture notes in computer science. Lien externe

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Yoshiaki Okano, E., Aloise, D., & Nascimento, M. C. V. (2026). An analytics framework for graph-based anomaly detection in healthcare time series. Healthcare Analytics, 100447. Lien externe