Skip to content
Back Home
  • About
    • The mission
    • Contacts
    • People who are involved
    • External Advisory Board
  • News
  • Events
    • HPC4AI – Intelligenza Artificiale e Big Data: opportunità e servizi al Politecnico
    • 6th SmartData@Polito Workshop
    • Computing@PoliTO Workshop
  • Workshops
    • Seminars
      • Is Natural Language Processing the Holy Grail of Artificial Intelligence?
      • Uncertainty damping in the macroscopic forecast of vehicular traffic flow
      • Information Exposure for Consumer IoT Devices: A Multidimensional, Network-Informed Measurement Approach
    • 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
    • HPC4AI – Intelligenza Artificiale e Big Data: opportunità e servizi al Politecnico
    • 6th SmartData@Polito Workshop
    • Computing@PoliTO Workshop
  • Workshops
    • Seminars
      • Is Natural Language Processing the Holy Grail of Artificial Intelligence?
      • Uncertainty damping in the macroscopic forecast of vehicular traffic flow
      • Information Exposure for Consumer IoT Devices: A Multidimensional, Network-Informed Measurement Approach
    • 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 » Explaining black box models by means of local rules

Explaining black box models by means of local rules

E. Pastor, E. Baralis (2019) Explaining black box models by means of local rules, In: Proceedings of the ACM Symposium on Applied Computing, pp. 510-517, ISBN: 9781450359337

Post navigation

  • Previous post Quantitative cryptocurrency trading: exploring the use of machine learning techniques
  • Back to post list
  • Next post Detecting Anomalies in Image Classification by Means of Semantic Relationships

Collaborations

© 2020 SmartData@PoliTO – All rights reserved

Homepage - Privacy - Cookie Policy - Contacts

This site uses third-party cookies: by using the site, you consent to the use of cookies. For more information view the cookie policy.