74 datasets found

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  • Airfoil, Exchange-Rate, and Electricity datasets

    The dataset used in the paper is not explicitly described, but it is mentioned that the authors used Airfoil, Exchange-Rate, and Electricity datasets.

  • CIFAR-10, CIFAR-100, Tiny-Imagenet, and Imagenet datasets

    The dataset used in the paper is not explicitly described, but it is mentioned that the authors used CIFAR-10, CIFAR-100, Tiny-Imagenet, and Imagenet datasets.

  • NO2

    The dataset used in this paper is a real-world dataset for imbalanced regression problems.

  • CpuSm

    The dataset used in this paper is a real-world dataset for imbalanced regression problems.

  • Boston

    The dataset used in this paper is a real-world dataset for imbalanced regression problems.

  • Bank8FM

    The dataset used in this paper is a real-world dataset for imbalanced regression problems.

  • Abalone

    The Abalone dataset has 4177 observation 8 covariates. Sex is a nominal variable with 3 categories: Male, Female and Infant. Length (mm) is the longest shell measurement,...

  • SML2010 Data Set

    The dataset used in this paper is a real-world dataset for imbalanced regression problems.

  • Census Income Dataset

    The Census Income dataset contains information about individuals' income levels and demographic characteristics.

  • Energy Dataset

    The dataset contains energy data from the UCI Appliances energy prediction dataset with 28 features and noisy periodicity and correlation.

  • Wine Quality Dataset

    The dataset used for testing the performance of the proposed LightGCNet-I and LightGCNet-II algorithms on the wine quality dataset.

  • Boston house prediction dataset

    The Boston house prediction dataset contains 506 instances, each with 13 numerical features.

  • Simulation Study

    A regression problem where the true coefficient function β is sparse and smooth, in order to show how the adaptive centering is able to jointly shrink towards a mixed target.

  • UCI Regression Datasets

    The dataset used in the paper is the UCI Regression Datasets, which are a standard benchmark for evaluating conditional density estimators.