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TAILOR
  • HOME
  • ABOUT
    • About TAILOR
    • Partners
    • Network Members
    • Organisation and contact persons
    • AIDA doctoral school
    • Logos and Templates
    • Internal
  • WORK PACKAGES
    • Research overview
    • Roadmap & Challenges (WP2)
    • Trustworthy AI (WP3)
    • Unifying Paradigms (WP4)
    • Acting (WP5)
    • Social AI (WP6)
    • Auto AI (WP7)
    • Industry & Innovation (WP8)
    • Network Collaboration (WP9)
    • Connectivity fund (WP10)
    • AIOD platform (WP11)
    • Dissemination (WP12)
    • Ethics (WP13)
  • FUNDING
    • Connectivity Fund
      • Connectivity fund: How it works & how to apply
      • Connectivity fund: funded projects
    • Collaboration Exchange Fund
      • CEF How it works
      • CEF: Funded projects
    • Scientific board
  • RESULTS
    • Roadmap
    • Handbook
    • Scientific Publications
    • Deliverables
  • NEWS & EVENTS
    • News
    • Events
    • Challenges
    • Theme Development Workshops
    • TAILOR Summer Schools
    • TAILOR Conferences
      • 1st TAILOR conference
      • 2nd TAILOR Conference
        • Poster sessions
        • Venues
        • Programme
      • 3rd TAILOR conference
        • Poster session – 3rd TAILOR Conference
        • Practicalities

CONNECTIVITY FUND

Funded projects

  • Fostering Appropriate Trust in Predictive Policing AI Systems
  • Meta-learning for Continual Learning
  • Deep reinforcement learning for predictive monitoring under LTLf constraints
  • Data-Centric AutoML and Benchmarks with Optimal Transport
  • Multi-Objective Rating Systems
  • Optimal training of a structured ensemble of Binarized Neural Networks with Mixed-Integer Linear Programming techniques
  • Open Machine Learning workshop
  • Predicting conversational memorability in group interactions: Continual learning approach
  • Mastering Natural Language Processing methodologies and technologies
  • Mastering Natural Language Processing and Process Mining methodologies and technologies
  • Towards Prototype-Based Explainable Machine Learning for Flood Detection
  • Samples Selection with Group Metric for Experience Replay in Continual Learning
  • Large Scale Combinatorial Graybox Optimization
  • Making big benchmarks more trustworthy: Identifying the capabilities and limitations of language models by improving the BIG-Bench benchmark
  • Learning Neural Algebras
  • Learning trustworthy models from positive and unlabelled data
  • Imagining the landscape after the AI Act
  • A Modular Framework for Hybrid Participatory Systems
  • Trustworthy AI for human behavior prediction by autonomous vehicles

Funded by EU Horizon 2020.

Copyright © 2023 TAILOR
Contact: Coordinator Fredrik Heintz, fredrik.heintz@liu.se.