This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning
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Updated
Oct 10, 2022 - Jupyter Notebook
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
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
Multinomial classification tasks in Reddit
Fault diagnosis using focus loss function based on balance factor (two-category)
Web Scrapping British Airways review to gain company insights. Build a random forest model to predict customer buying behavior.
Identify fraudulent credit card transactions so that customers are not charged for items that they did not purchase. (Python, Logistic Regression Classifier, Unbalanced dataset).
Predict if a transaction is a fraud transaction or not, also, dealing with unbalanced data and finding the pattern using correlation between the features.
Likelihood Lab Project
Parkinson diagnostic with supervised and unsupervised machine learning
A submission for HUAWEI - 2020 DIGIX GLOBAL AI CHALLENGE
It's a classification model that predict whether an individual will suffer from autism in future or not
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