Skip to content
Back Home
  • About
    • The mission
    • Contacts
    • People who are involved
    • External Advisory Board
  • News
  • Events
    • La biblioteca nel metaverso – la Reading & Machine
    • Reading (&) Machine: evento di presentazione
    • 8th SmartData@PoliTO Workshop – Present and Future Directions
  • Workshops
    • Seminars
      • Strengthening the IoT Ecosystem: Privacy Preserving IoT Security Management
      • Accelerated Deep Learning via Efficient, Compressed and Managed Communication
      • Toposes as ‘bridges’ for mathematics and artificial intelligence
    • SmartTalks
  • Education
    • Courses for PhD students
    • PhD Course: Topological Data Analysis
    • PhD Course: Data Science for Networks
    • Corporate training on Digital Transformation
  • Research
    • Publications
    • Current PhD
    • Projects
    • Open Datasets & Libraries
    • Topics
  • Open Positions
    • open position – PhD student
    • open position – Assistant Professor with time contract (RTD-A)
    • open position – PostDoc researchers
    • Open position – Technologist
  • BigData Cluster
    • Computing Facilities
    • Request BigData@Polito Account
    • BigData@Polito Access Instructions
    • Run Jobs with Custom Packages
  • Private Area
  • Search
Back Home
  • About
    • The mission
    • Contacts
    • People who are involved
    • External Advisory Board
  • News
  • Events
    • La biblioteca nel metaverso – la Reading & Machine
    • Reading (&) Machine: evento di presentazione
    • 8th SmartData@PoliTO Workshop – Present and Future Directions
  • Workshops
    • Seminars
      • Strengthening the IoT Ecosystem: Privacy Preserving IoT Security Management
      • Accelerated Deep Learning via Efficient, Compressed and Managed Communication
      • Toposes as ‘bridges’ for mathematics and artificial intelligence
    • SmartTalks
  • Education
    • Courses for PhD students
    • PhD Course: Topological Data Analysis
    • PhD Course: Data Science for Networks
    • Corporate training on Digital Transformation
  • Research
    • Publications
    • Current PhD
    • Projects
    • Open Datasets & Libraries
    • Topics
  • Open Positions
    • open position – PhD student
    • open position – Assistant Professor with time contract (RTD-A)
    • open position – PostDoc researchers
    • Open position – Technologist
  • BigData Cluster
    • Computing Facilities
    • Request BigData@Polito Account
    • BigData@Polito Access Instructions
    • Run Jobs with Custom Packages
  • Private Area
Home » Publications » Identifying Imbalance Thresholds in Input Data to Achieve Desired Levels of Algorithmic Fairness

Identifying Imbalance Thresholds in Input Data to Achieve Desired Levels of Algorithmic Fairness

Mariachiara Mecati, Andrea Adrignola, Antonio Vetro, Marco Torchiano (2023) Identifying Imbalance Thresholds in Input Data to Achieve Desired Levels of Algorithmic Fairness, In: 2022 IEEE International Conference on Big Data (Big Data), pp. 4690-4699

Post navigation

  • Previous post A Real-Time Novelty Recognition Framework Based on Machine Learning for Fault Detection
  • Back to post list
  • Next post Low-Overhead Early-Stopping Policies for Efficient Random Forests Inference on Microcontrollers

Collaborations

 

© 2023 SmartData@PoliTO – All rights reserved

Homepage - Privacy - Cookie Policy - Contacts