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Alina Barnett - Interpretable Image Recognition
1346 - Deformable Gabor Feature Networks for Biomedical Image Classification
Pixel-Grounded Prototypical Part Networks
Interpretable Neural Networks for Computer Vision: Clinical Decisions that are Aided, not Automated
Group 20: Image Classifier using Convolutional Neural Networks
Demonstration of DL Project | X-Ray Resolution & Medical Image Classifier
Archive: Object Recognition With Deformable Models
Concept-level Debugging of Part-Prototype Networks
Image Classification with TensorFlow.js (JavaScript)
[Classic] ImageNet Classification with Deep Convolutional Neural Networks (Paper Explained)
Neural Additive Models: Interpretable Machine Learning with Neural Nets
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Last Updated: October 1, 2026
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This video presents the paper " This Looks That: Deep Learning for Making of protoTree, interactive videoinstallation inspired by Paul Klee. Also se youtube.com/watch?v=aQx2ruaTfEM. Presentation for the Conference on Responsible Machine Learning 2021. Authors: Zachariah Carmichael; Suhas Lohit; Anoop Cherian; Michael J. Jones; Walter J. Scheirer Description: Prototypical part ... This video discusses case based reasoning This project demonstrates a Deep Learning based Medical Imaging System capable of analyzing X-ray, MRI, and other medical ... The problem of detecting and localizing objects in Unleash the potential of machine learning in the browser ai AlexNet was the start of the deep learning revolution. Up until 2012, the best computer vision systems relied ... WHI 2020 Spotlight -- neural-additive-models.github.io.
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