FICAug: Feature-Informed Clustering and Augmentation for Facial-Expression-Based Parkinson's Disease Screening

arXiv:2409.17685 · cs.AI, cs.LG · Submitted 2024-09-26 · Read on arXiv

cs.AI, cs.LG

Submitted: 2024-09-26

Updated: 2026-09-13

Comments: 11 pages, 5 figures, 6 tables

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 34× in this paper · explained in 1 episode
• Clustering — 24× in this paper · explained in 2 episodes
• Data Augmentation — 13× in this paper · explained in 7 episodes
• Action Unit — 8× in this paper
• Generalization — 8× in this paper · explained in 13 episodes
• Feature Extraction — 4× in this paper · explained in 2 episodes
• Fine-Tuning — 4× in this paper · explained in 5 episodes
• Convolutional Neural Network — 3× in this paper
• Few-Shot Learning — 3× in this paper · explained in 4 episodes
• Generative Model — 3× in this paper · explained in 2 episodes
• Latent Space — 3× in this paper · explained in 7 episodes
• Regularization — 3× in this paper · explained in 3 episodes
• Transfer Learning — 3× in this paper · explained in 10 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Downstream Tasks — 2× in this paper · explained in 2 episodes
• Generative Adversarial Networks (GANs) — 2× in this paper · explained in 3 episodes
• Homogeneity — 2× in this paper · explained in 2 episodes
• Masked Siamese Networks — 2× in this paper
• Self-Supervised Learning — 2× in this paper · explained in 7 episodes
• Semi-supervised Learning — 2× in this paper · explained in 4 episodes
• Synthetic Data Generation — 2× in this paper · explained in 5 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Distillation — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Feature Selection — 1× in this paper · explained in 4 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Research Review — 1× in this paper · explained in 6 episodes
• Resource Constraints — 1× in this paper · explained in 3 episodes
• Self-distillation — 1× in this paper · explained in 6 episodes
• Semantic Alignment — 1× in this paper · explained in 3 episodes
• Structural Integrity — 1× in this paper · explained in 3 episodes

Sources

• Improved Regularization of Convolutional Neural Networks with Cutout
• Dataset Augmentation in Feature Space

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