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Role of Orthogonality Constraints in Improving Properties of Deep Networks for Image Classification
Standard deep learning models that employ the categorical cross-entropy ...
09/22/2020 ∙ by Hongjun Choi, et al. ∙
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A Machine Learning Approach to Assess Student Group Collaboration Using Individual Level Behavioral Cues
K-12 classrooms consistently integrate collaboration as part of their le...
07/13/2020 ∙ by Anirudh Som, et al. ∙
5
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Unsupervised Pre-trained Models from Healthy ADLs Improve Parkinson's Disease Classification of Gait Patterns
Application and use of deep learning algorithms for different healthcare...
05/06/2020 ∙ by Anirudh Som, et al. ∙
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AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification
Deep-learning architectures for classification problems involve the cros...
04/21/2020 ∙ by Hongjun Choi, et al. ∙
38
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Topological Descriptors for Parkinson's Disease Classification and Regression Analysis
At present, the vast majority of human subjects with neurological diseas...
04/15/2020 ∙ by Afra Nawar, et al. ∙
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PI-Net: A Deep Learning Approach to Extract Topological Persistence Images
Topological features such as persistence diagrams and their functional a...
06/05/2019 ∙ by Anirudh Som, et al. ∙
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Perturbation Robust Representations of Topological Persistence Diagrams
Topological methods for data analysis present opportunities for enforcin...
07/26/2018 ∙ by Anirudh Som, et al. ∙
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