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Subject : qa1-939 Subject : deep learning Geographic : united states
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Conference

Semantic segmentation of sparse irregular point clouds for leaf/wood discrimination

Subjects: UAV; Deep Learning; Semantic SegmentationNew-Orleans; United States

  • Source: Advances in Neural Information Processing Systems 37 (NeurIPS 2023) ; NeurIPS 2023 - 37th Conference on Neural Information Processing Systems ; https://inria.hal.science/hal-04380350 ; NeurIPS 2023 -

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Towards the understanding of the C-Band temporal signature of boreal forest through physiology parameters retrieval from sentinel-1 time series and machine learning

Subjects: Deep Learning; Inversion; SARUnited StatesPASADENA, United States

  • Source: IEEE IGARSS 2023 ; https://hal.science/hal-04314674 ; IEEE IGARSS 2023, Jul 2023, PASADENA, United States. ⟨10.1109/IGARSS52108.2023.10282866⟩

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Local Identifiability of Deep ReLU Neural Networks: the Theory

Subjects: Deep Learning; ReLU networks; IdentifiabilityNew Orleans; United States

  • Source: Advances in Neural Information Processing Systems ; https://hal.science/hal-03687395 ; Advances in Neural Information Processing Systems, Nov 2022, New Orleans, United

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EP-Net 2.0: Out-of-Domain Generalisation for Deep Learning Models of Cardiac Electrophysiology

Subjects: Electrophysiology; Deep learning; SimulationStanford; CA (virtual); United States

  • Source: Functional Imaging and Modeling of the Heart ; FIMH 2021 - 11th International Conference on Functional Imaging and Modeling of the Heart ; https://inria.hal.science/hal-03369201 ; FIMH 2021 - 11th

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Aircraft Numerical 'Twin': A Time Series Regression Competition

Subjects: Aeronautics; Time series regression; Machine learningUnited StatesPasadena / Virtual, United States

  • Source: ICMLA 2021 - 20th IEEE International Conference on Machine Learning and Applications. ; https://inria.hal.science/hal-03463307 ; ICMLA 2021 - 20th IEEE International Conference on Machine Learning and

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Deep Trajectory Clustering with Autoencoders

Subjects: machine learning; deep learning; trajectory clusteringTampa; United States

  • Source: ICRAT 2020, 9th International Conference for Research in Air Transportation ; https://enac.hal.science/hal-02916241 ; ICRAT 2020, 9th International Conference for Research in Air Transportation, Sep

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Academic Journal

A comparison of machine learning algorithms for the surveillance of autism spectrum disorder.

Subjects: *AUTISM spectrum disorders; *MACHINE learning; *SUPPORT vector machinesUNITED States

  • Source: PLoS ONE. 9/25/2019, Vol. 14 Issue 9, p1-11. 11p.

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Academic Journal

Exploring the Intersection between Social Determinants of Health and Unmet Dental Care Needs Using Deep Learning.

  • Authors : Hung M; College of Dental Medicine, Roseman University of Health Sciences, South Jordan, UT 84095, USA.; Department of Orthopaedic Surgery Operations, University of Utah, Salt Lake City, UT 84108, USA.

Subjects: Artificial Intelligence* ; Deep Learning* ; Dental Care*

  • Source: International journal of environmental research and public health [Int J Environ Res Public Health] 2020 Oct 06; Vol. 17 (19). Date of Electronic Publication: 2020 Oct 06.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101238455 Publication Model: Electronic Cited Medium: Internet ISSN: 1660-4601

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Unifying GANs and Score-Based Diffusion as Generative Particle Models

Subjects: deep learning; generative models; GANsNew Orleans; LA; United States

  • Source: Advances in Neural Information Processing Systems ; Thirty-seventh Conference on Neural Information Processing Systems ; https://hal.science/hal-04107806 ; Thirty-seventh Conference on Neural

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A Neural Tangent Kernel Perspective of GANs

Subjects: Machine Learning; Deep Learning; Generative ModelingBaltimore; MD; United States

  • Source: Thirty-ninth International Conference on Machine Learning ; https://hal.science/hal-03716574 ; Thirty-ninth International Conference on Machine Learning, Jul 2022, Baltimore, MD,

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  • 1-10 of  41 results for ""Mathematics""