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Reconstruction 3D de données échographiques du cerveau du prématuré et segmentation des ventricules cérébraux et thalami par apprentissage supervisé. (3D reconstruction of brain ultrasound data from premature infants and segmentation of cerebral ventricular system and thalami using supervised learning).. Claude Bernard University Lyon 1, France, (2019)Priority U-Net: Detection of Punctuate White Matter Lesions in Preterm Neonate in 3D Cranial Ultrasonography., , , , , и . MIDL, том 121 из Proceedings of Machine Learning Research, стр. 205-216. PMLR, (2020)Automatic segmentation and location learning of neonatal cerebral ventricles in 3D ultrasound data combining CNN and CPPN., , , , и . Comput. Biol. Medicine, (2021)Automatic Segmentation and Location Learning of Neonatal Cerebral Ventricles in 3D Ultrasound Data Combining CNN and CPPN., , , , и . CoRR, (2020)Sequential Counterfactual Risk Minimization., , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 40681-40706. PMLR, (2023)Efficient Kernelized UCB for Contextual Bandits., , , , , и . AISTATS, том 151 из Proceedings of Machine Learning Research, стр. 5689-5720. PMLR, (2022)Individual Treatment Prescription Effect Estimation in a Low Compliance Setting., , , , и . KDD, стр. 1399-1409. ACM, (2021)Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging., , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 4192-4202. PMLR, (2021)Impact of dataset size and long-term ECoG-based BCI usage on deep learning decoders performance., , , , и . CoRR, (2022)Text-based CAPTCHA strengths and weaknesses., , и . ACM Conference on Computer and Communications Security, стр. 125-138. ACM, (2011)