Overview: Prior knowledge of the size and composition of the Python dataset can assist in making informed choices in programming to avoid potential performance ...
This work is part of the PhD thesis entitled Análise de Sensibilidade de Variação Finita assistida por Redes Neurais Artificiais para Concepção de Metamateriais (Finite Variation Sensitivity Analysis ...
The goal of this project is to learn sparse representations from hidden activations of a pretrained language model using a custom autoencoder architecture with a JumpReLU activation function. The ...
Abstract: Defect prediction has been a popular research topic where machine learning (ML) and deep learning (DL) have found numerous applications. However, these ML/DL-based defect prediction models ...
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