This article utilizes an oversampling-undersampling strategy to address linkage imbalances, enabling more accurate and efficient record linkage within large-scale datasets. It tries to increase the ...

The Graph offers access to competitive and cost-efficient decentralized data sets. The network boasts a 99.99% uptime and 24/7 availability. Central to The Graph’s operations are subgraphs, APIs that ...

This plugin adds a visual representation of Jenkins pipelines, showing each stage of a run in a clear and easy-to-follow graph format. It’s designed to make pipeline progress and structure easier to ...

Several machine learning models were evaluated, including Logistic Regression, XGBoost, Random Forest, and Neural Networks, across three sampling strategies: original distribution, SMOTE oversampling, ...

pggb builds pangenome variation graphs from a set of input sequences. A pangenome variation graph is a kind of generic multiple sequence alignment. It lets us understand any kind of sequence variation ...

Bidirectional Encoder Representations,Binary Classification,Convolutional Neural Network,Cyberbullying,Data Pre-processing,Decision Tree,F1 Score,Feature Extraction Techniques,First Subjected,Hate ...

BERT Model,Bidirectional Long Short-term Memory,Chinese Dataset,Class Imbalance,Classification Of Samples,Cohen’s Kappa,Contralateral,Convolutional Neural Network,Correct Classification,Cross-entropy ...

Examine the set of graphs below for a given city. Read carefully the temperature and precipitation scales on the graphs. Review the biome information. Two biome choices are given for each set of ...