Abstract: The study aims to optimize the classification of reception of training participants using the K-Nearest Neighbors (KNN) algorithm by finding the optimal value for the K parameter through a ...

Abstract: Most examinations of neural networks’ learned latent spaces typically employ dimensionality reduction techniques such as t-distributed stochastic neighbor embedding (t-SNE) or uniform ...

An intelligent Financial Analysis system that combines Knowledge Graphs with Large Language Models using GraphRAG (Graph Retrieval-Augmented Generation) to answer complex financial queries with ...