As quantum computing hardware advances, the demand for scalable, precise, and fully automated verification techniques for ...

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While regression models are suitable for these learning tasks, these labels are often discretized into binary classes to formulate the problem as a conventional classification task (e.g., classes with ...

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This paper presents a multi-objective grammar-based ant programming algorithm for imbalanced classification, capable of addressing this task from both the binary and multiclass sides, unlike most of ...

This project is a Streamlit web application that predicts whether a mushroom is edible or poisonous using machine learning classifiers. The app allows users to select between Support Vector Machine ...

This repository contains the code to train ConvNeXt models on 3D NIfTI images or 2D slices derived from these images. The script allows you to customize various aspects of the training process, ...