Bugs in machine learning-based systems: a faultload benchmark

NIAID Data Ecosystem2026-05-01 收录

下载链接：

https://zenodo.org/records/8376824

下载链接

链接失效反馈

官方服务：

资源简介：

Replication package of paper "Bugs in Machine Learning-based Systems: A Faultload Benchmark". This repository is faultload benchmark of ML-based systems namely defect4ML.

创建时间：

2023-09-26

Spatial datasets for benchmarking machine learning-based landslide susceptibility models

The spatial dataset consists of 743 landslide polygons, landslide centroid points, randomly non-landslide points, and 11 landslide-controlling factors. Landslide polygons were delineated through manua

Mendeley Data00

Spatial datasets for benchmarking machine learning-based landslide susceptibility models

NIAID Data Ecosystem00

Machine Learning-Based Ozone Parameterization - Dataset

Data to produce the content of paper submitted to JAMES "mloz: A Highly Efficient Machine Learning-Based Ozone Parameterization for Climate Sensitivity Simulations".

Zenodo2025-09-04 更新00

Spatial datasets for benchmarking machine learning-based landslide susceptibility models

Mendeley Data00

Dataset for Machine Learning-Based Experimental Design"

This dataset contains 3102 experimental measurements . It was used to evaluate a two-stage experimental design approach combining cluster-based data reduction and machine learning models for accurate

Zenodo2025-10-03 更新00