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F. Poirier, C. Lassalle, D. Mateus, and J. Rioult, “First anomalies exploration from data mining and machine learning at the ARRONAX cyclotron C70XP”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper TUPM036, pp. 2273-2276. |
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F. Basbous, F. Haddad, D. Mateus, and F. Poirier, “Transfer Learning for Generalizing a Hybrid Autoencoder-Isolation Forest Model for Time Series Anomaly Detection in ARRONAX Cyclotron Operational Data”, presented at the 17th Int. Particle Accelerator Conf. (IPAC'26), Deauville, France, May 2026, paper WEP6002, this conference. |
