This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning
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Oct 10, 2022 - Jupyter Notebook
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This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning
Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.
🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis
Official Repository for The Technical Report, Label Unbalance in High-frequency Trading
Adversarial Attack on 3D U-Net model: Brain Tumour Segmentation.
Implementation of Random Balance Algorithm
Classification on Unbalanced Datasets using Boost Techniques (AdaBoost M2, SMOTE Boost, RusBoost,..)
Customer churn analysis for a telecommunication company
This repo contains work carried out for SemEval 2022 Task 6: iSarcasmEval: Intended Sarcasm Detection In English and Arabic
predicting whether you read mail
Fault diagnosis using focus loss function based on balance factor (two-category)
Identify fraudulent credit card transactions so that customers are not charged for items that they did not purchase. (Python, Logistic Regression Classifier, Unbalanced dataset).
Web Scrapping British Airways review to gain company insights. Build a random forest model to predict customer buying behavior.
Multinomial classification tasks in Reddit
To solve two main issues in credit card fraud detection - skewness of the data and cost-sensitivity
Parkinson diagnostic with supervised and unsupervised machine learning
Train JOSA (Jopara Sentiment Analysis) corpus with traditional machine learning algorithms.
Applying CRISP-DM methodology for predicting Loan Elegibility
Toy-project, unbalanced data, classification pipeline for multiple classifiers and parameters tuning.
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