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
A submission for HUAWEI - 2020 DIGIX GLOBAL AI CHALLENGE
Identify fraudulent credit card transactions so that customers are not charged for items that they did not purchase. (Python, Logistic Regression Classifier, Unbalanced dataset).
Customer churn analysis for a telecommunication company
Adversarial Attack on 3D U-Net model: Brain Tumour Segmentation.
To solve two main issues in credit card fraud detection - skewness of the data and cost-sensitivity
Implementation of Random Balance Algorithm
Insurance reports through deep neural networks
Demo on using Facets: An Open Source Visualization Tool for Machine Learning Training Data developed by Google's PAIR Initiative
Classify default borrowers from initial loan application for Lending Club
This repo contains work carried out for SemEval 2022 Task 6: iSarcasmEval: Intended Sarcasm Detection In English and Arabic
Multinomial classification tasks in Reddit
Deep learning solution for Cassava Leaf Disease Classification, a Kaggle's Research Code Competition using Tensorflow.
Six different techniques are employed to train and evaluate models with unbalanced classes. Algorithms are used to predict credit risk. Performance of these different models is compared and recommendations are suggested based on results.
Predict if a transaction is a fraud transaction or not, also, dealing with unbalanced data and finding the pattern using correlation between the features.
Predict the activity category of a human.
Repositorio de la asignatura Inteligencia de Negocio cursada en la UGR. curso 2020-21
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