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ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping.

, , , , , и . NeurIPS, (2020)

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Kerstin da Silva

Rodrigo Corrêa da Silva

Adriano João Da Silva

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Biomechanical modelling of brain atrophy through deep learning., , , , , и . CoRR, (2020)ICAM-Reg: Interpretable Classification and Regression With Feature Attribution for Mapping Neurological Phenotypes in Individual Scans., , , , , , , , , и 1 other автор(ы). IEEE Trans. Medical Imaging, 42 (4): 959-970 (апреля 2023)Distinguishing Healthy Ageing from Dementia: A Biomechanical Simulation of Brain Atrophy Using Deep Networks., , , , , и . MLCN@MICCAI, том 13001 из Lecture Notes in Computer Science, стр. 13-22. Springer, (2021)ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping., , , , , и . NeurIPS, (2020)Applications of interpretable deep learning in neuroimaging: a comprehensive review., , , , , , , и . CoRR, (2024)Supervised Training of a Simple Digital Assistant for a Free Crop Clinic., , , , , , и . BRACIS (2), том 13074 из Lecture Notes in Computer Science, стр. 162-176. Springer, (2021)Game Design, Creativity and e-Learning: The Challenges of Beginner Level Immersive Language Learning Games., , , , , , и . HCI (29), том 12790 из Lecture Notes in Computer Science, стр. 256-275. Springer, (2021)Working with robotic process automation: User experience after 18 months of adoption., , , , , , и . Frontiers Comput. Sci., (2022)Wandering mice: Computer mouse-tracking as a behavioral measure of mind wandering., и . CogSci, cognitivesciencesociety.org, (2018)Assessing the relationship between trait and state levels of mind wandering during a tracing task., , и . CogSci, cognitivesciencesociety.org, (2020)