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Academic Journal

Unsupervised discovery of Interpretable Visual Concepts

Subjects: explainable artificial intelligence; interpretability; convolutional neural networks

  • Source: ISSN: 0020-0255 ; Information Sciences ; https://hal.science/hal-04190721 ; Information Sciences, 2024, 661, pp.120159. ⟨10.1016/j.ins.2024.120159⟩.

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Conference

CNN Classification of Wet Snow By Physical Snowpack Model Labeling

Subjects: SAR; Wet Snow; ClassificationCA; United States

  • Source: International Geoscience and Remote Sensing Symposium (IGARSS 2023) ; https://hal.science/hal-04171432 ; International Geoscience and Remote Sensing Symposium (IGARSS 2023), Jul 2023, Pasadena, CA,

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Book

Deep learning: basics and convolutional neural networks (CNN)

Subjects: Perceptrons; Backpropagation; Convolutional neural networks

  • Source: Machine Learning for Brain Disorders ; https://hal.science/hal-03957224 ; Olivier Colliot. Machine Learning for Brain Disorders, Springer, In press

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Academic Journal

Accurate delineation of individual tree crowns in tropical forests from aerial RGB imagery using Mask R‐CNN

Subjects: Tropical forests; Convolutional neural networks; Deep learning

  • Source: EISSN: 2056-3485 ; Remote Sensing in Ecology and Conservation ; https://hal.science/hal-04104425 ; Remote Sensing in Ecology and Conservation, 2023, 9 (5), pp.641-655. ⟨10.1002/rse2.332⟩

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Academic Journal

Cerebral AVM segmentation from 3D rotational angiography images by convolutional neural networks

Subjects: fully automatic segmentation; 3D rotational angiography; cerebrovascular segmentation

  • Source: ISSN: 2772-5286 ; Neuroscience Informatics ; https://hal.science/hal-04164909 ; Neuroscience Informatics, 2023, 3 (3), pp.100138. ⟨10.1016/j.neuri.2023.100138⟩.

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Conference

From Just Noticeable Differences to Image Quality

Subjects: image quality assessment; siamese convolutional neural networks; just noticeable differenceLisbon; Portugal

  • Source: QoEVMA '22: Proceedings of the 2nd Workshop on Quality of Experience in Visual Multimedia Applications ; 2nd Workshop on Quality of Experience in Visual Multimedia Applications (QoEVMA ’22), October

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Conference

Hierarchical approach for the classification of multi-class skin lesions based on deep convolutional neural networks

Subjects: Classification; Convolutional Neural Networks; Hierarchical DiagnosisParis; France

  • Source: Pattern Recognition and Artificial Intelligence Third International Conference, ICPRAI 2022, Paris, France, June 1–3, 2022, Proceedings ; ICPRAI ; https://hal.science/hal-03688422 ; ICPRAI, Jun

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