standing-o/Machine_Learning_Paper_Review
Machine learning Paper review and code implementation
Jupyter NotebookMIT
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Pyramid tokens-to-token vision transformer for thyroid pathology image classification
#36 opened by standing-o - 0
Annotation-free deep learning-based prediction of thyroid molecular cancer biomarker BRAF (V600E) from cytological slides
#25 opened by standing-o - 0
Automatic whole slide pathology image diagnosis framework via unit stochastic selection and attention fusion
#37 opened by standing-o - 0
Interactive thyroid whole slide image diagnostic system using deep representation
#35 opened by standing-o - 0
Patch-based convolutional neural network for whole slide tissue image classification
#32 opened by standing-o - 0
Support vector machine based diagnostic system for thyroid cancer using statistical texture features
#30 opened by standing-o - 0
Deep learning based screening and ancillary testing for thyroid cytopathology
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Classifying and segmenting microscopy images with deep multiple instance learning
#31 opened by standing-o - 0
Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology images
#28 opened by standing-o - 0
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Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
#29 opened by standing-o - 0
Pathologist-level interpretable whole-slide cancer diagnosis with deep learning
#27 opened by standing-o - 0
Advancing medical imaging informatics by deep learning-based domain adaptation
#23 opened by standing-o - 0
Large-scale answerer in questioner's mind for visual dialog question generation
#22 opened by standing-o - 0
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Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers
#20 opened by standing-o - 0
Why do tree-based models still outperform deep learning on typical tabular data?
#19 opened by standing-o - 0
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Attention is all you need
#13 opened by standing-o - 0
Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
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Training very deep networks
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
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Adam: A method for stochastic optimization
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Opportunities and challenges in explainable artificial intelligence (XAI): A survey
#8 opened by standing-o - 0
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WaveNet: A generative model for raw audio
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Forecasting at scale
#14 opened by standing-o