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Julien Nicolas
Julien Nicolas
CNRS, INSA Lyon, McGill University
Email verificata su insa-lyon.fr
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Citata da
Citata da
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MoP-CLIP: A mixture of prompt-tuned CLIP models for domain incremental learning
J Nicolas, F Chiaroni, I Ziko, O Ahmad, C Desrosiers, J Dolz
arXiv preprint arXiv:2307.05707, 2023
62023
Differentially private and decentralized randomized power method
J Nicolas, C Sabater, M Maouche, SB Mokhtar, M Coates
arXiv preprint arXiv:2411.01931, 2024
22024
Deep learning algorithms for bladder cancer segmentation on multi-parametric MRI
KZ Gumus, J Nicolas, DR Gopireddy, J Dolz, SB Jazayeri, M Bandyk
Cancers 16 (13), 2348, 2024
12024
Secure Federated Graph-Filtering for Recommender Systems
J Nicolas, C Sabater, M Maouche, SB Mokhtar, M Coates
arXiv preprint arXiv:2501.16888, 2025
2025
Scrutinizing the Vulnerability of Decentralized Learning to Membership Inference Attacks
O Touat, J Brunon, Y Belal, J Nicolas, M Maouche, C Sabater, SB Mokhtar
arXiv preprint arXiv:2412.12837, 2024
2024
MP09-18 DEEP LEARNING ALGORITHMS FOR MULTI-REGION BLADDER CANCER SEGMENTATION
J Nicolas, K Gumus, SB Jazayeri, DR Gopireddy, J Dolz, M Bandyk
The Journal of Urology 209 (Supplement 4), e112, 2023
2023
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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