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01/01/2022
Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data
Deep neural networks are parametrized by several thousands or millions o...
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06/17/2021
Towards Explainable Student Group Collaboration Assessment Models Using Temporal Representations of Individual Student Roles
Collaboration is identified as a required and necessary skill for studen...
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09/22/2020
Role of Orthogonality Constraints in Improving Properties of Deep Networks for Image Classification
Standard deep learning models that employ the categorical cross-entropy ...
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07/13/2020
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...
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05/06/2020
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...
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04/21/2020
AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification
Deep-learning architectures for classification problems involve the cros...
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04/15/2020
Topological Descriptors for Parkinson's Disease Classification and Regression Analysis
At present, the vast majority of human subjects with neurological diseas...
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06/05/2019
PI-Net: A Deep Learning Approach to Extract Topological Persistence Images
Topological features such as persistence diagrams and their functional a...
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07/26/2018