vix.ing · top · new · best · stats · spec

Ribeiro, Rita P.

  1. Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation
    2022/11/24 by S. M. Jesus, José P. Pombal, Jesus, Sérgio +13 · 9 citations
    Business, Management and Accounting · Computer Science · #FOS: Computer and information sciences #Financial Distress and Bankruptcy Prediction #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
  2. UBL: an R package for Utility-based Learning
    2016/04/27 by Paula Branco, Branco, Paula, Rita P. Ribeiro +3 · 3 citations
    Computer Science · Mathematics · #Imbalanced Data Classification Techniques #Machine Learning and Data Classification #Advanced Statistical Methods and Models
  3. Model Optimization in Imbalanced Regression
    2022/06/20 by Silva, Aníbal, Rita P. Ribeiro, Ribeiro, Rita P. +2 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Text and Document Classification Technologies
  4. Aequitas Flow: Streamlining Fair ML Experimentation
    2024/05/09 by Sérgio Jesus, Pedro Saleiro, Jesus, Sérgio +13 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  5. Explainable Predictive Maintenance
    2023/06/08 by Pashami, Sepideh, Nowaczyk, Slawomir, Fan, Yuantao +13 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #I.2.1
  6. Super-Resolution Analysis for Landfill Waste Classification
    2024/04/02 by Matías Molina, Rita P. Ribeiro, Molina, Matias +5 · 1 citation
    Engineering · Environmental Science · #Advanced Image Fusion Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Industrial Vision Systems and Defect Detection #Machine Learning (cs.LG) #Remote Sensing and LiDAR Applications