All Stories

  1. Data Balancing for Mitigating Sampling Bias in Machine Learning

    Article • March 2025, ACM (Association for Computing Machinery)

    Ana Carolina Lorena, Ronaldo Junior

  2. Network-based instance hardness measures for classification problems

    Article • March 2025, ACM (Association for Computing Machinery)

    Ana Carolina Lorena

  3. Understanding the performance of machine learning models from data- to patient-level

    Article • Journal of Data and Information Quality, September 2024, ACM (Association for Computing Machinery)

    Professor Carlos R V Kiffer, Ana Carolina Lorena

  4. Explaining instances in the health domain based on the exploration of a dataset's hardness embedding

    Article • July 2024, ACM (Association for Computing Machinery)

    Ana Carolina Lorena

  5. Trusting My Predictions: On the Value of Instance-Level Analysis

    Article • ACM Computing Surveys, April 2024, ACM (Association for Computing Machinery)

    Ana Carolina Lorena, Pedro Paiva

  6. An Instance Space Analysis of Regression Problems

    Article • ACM Transactions on Knowledge Discovery from Data, April 2021, ACM (Association for Computing Machinery)

    Ana Carolina Lorena, Tao Yan

  7. Automatic recovering the number k of clusters in the data by active query selection

    Article • March 2021, ACM (Association for Computing Machinery)

    Ana Carolina Lorena, Hério Sousa

  8. How Complex Is Your Classification Problem?

    Article • ACM Computing Surveys, October 2019, ACM (Association for Computing Machinery)

    Jens Lehmann, Ana Carolina Lorena