Synthetic Data Generation of Body Motion Data by Neural Gas Network for Emotion Recognition
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May 14, 2025 - Python
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data-scarcity
Here are 8 public repositories matching this topic...
Synthetic Data Generation for Emotional Depth Faces: Optimizing Conditional DCGANs via Genetic Algorithms in the Latent Space and Stabilizing Training with Knowledge Distillation
genetic-algorithm gan vae depth-image knowledge-distillation facial-expression-recognition emotion-recognition latent-space data-scarcity
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Aug 19, 2025 - Python
Official Code for "Walking the energy lines: Physics-inspired fuzzy self-ensembling for medical image classification" Published at Biomedical Signal Processing and Control Journal
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Apr 24, 2026
Spectral vision transformer for efficient tokenization with limited data
deep-neural-networks computer-vision deep-learning medical-imaging classification cornell efficient-algorithm dbs data-scarce-environments spectral-methods qsm cornell-university quantitative-susceptibility-mapping deep-brain-stimulation efficient-deep-learning vision-transformer weill data-scarcity
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Jun 11, 2026 - Python
Fuzzy-MAP EM algorithm presented at the ECAI workoshop HC@AIxIA
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Jun 12, 2026 - Python
Investigated Meta Pseudo Labels for breast cancer CAD. The pipeline failed because the baseline segmentation model could not learn from the extremely limited labeled data. This research demonstrates that it's success is contingent on first establishing a functional supervised model, a step that was ultimately hampered by severe data scarcity
python computer-vision deep-learning tensorflow medical-imaging semi-supervised-learning research-project image-segmentation breast-cancer meta-learning u-net efficientnet mammography cad-system data-scarcity meta-pseudo-labels model-failure-analysis
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Jul 6, 2025 - Jupyter Notebook
A sports image recognition system developed for the Visual Information Processing and Management 2025-2026 exam. The application uses deep learning models to classify images of different sports, perform similarity searches, and apply image augmentation and enhancement techniques.
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Feb 20, 2026 - Jupyter Notebook
A sports image recognition system developed for the Visual Information Processing and Management 2025-2026 exam. The application uses deep learning models to classify images of different sports, perform similarity searches, and apply image augmentation and enhancement techniques.
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Feb 20, 2026 - Jupyter Notebook
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