• Innovations and Objectives Innovations and Objectives
    • Objectives
    • IML4E innovations
  • Results Results
    • IML4E Framework 
    • Mosquito data cleaner
    • Discrepancy Scaling for Unsupervised Anomaly Detection and Localization
    • Autonomously Adaptive Experimentation-Driven Pipeline
    • VALICY – a virtual validation system for AI/ML and complex software applications
    • SAGED: Error Detector for Tabular Data
    • Cost-effecient ML
    • ML Metrics Typology + AI Ethics Metrics
    • Calibrated confidence estimator
    • Inference scaling
    • Rare node co-activations in error detection
    • Continuous data monitoring and cleaning dashboard for smart meters
    • Privacy-friendly Image Preparation for TinyML
    • The IML4E Maturity Assessment Scheme 
    • Model cards toolkit
    • CABC for MLOps
  • Resources Resources
    • Conferences and Publications
    • Deliverables
  • Up to date Up to date
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IML4E – Deliverables

  1. IML4E
  2. Resources
  3. Deliverables
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Baseline methods and techniques for data collection, processing, and valorisation
Download: PDF | SQC
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First Version of Methods and Techniques for Data Collection, Processing, and Valorisation
Download: PDF | SQC
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First Version of Tools for Data Collection, Processing, and Valorisation
Download: PDF | SQC
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Baseline methods and techniques for advanced model engineering
Download: PDF
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First version of methods and techniques for advanced model engineering
Download: PDF | SQC
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First version of tools for advanced model engineering
Download: PDF | SQC
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Requirements for the IML4E Online Experimentation and Education Platform
Download: PDF | SQC
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Initial MLOps methodology and the architecture of the IML4E framework
Download: PDF | SQC
Innovations and Objectives
  • Objectives
  • IML4E innovations
Results
  • IML4E Framework 
  • Mosquito data cleaner
  • Discrepancy Scaling for Unsupervised Anomaly Detection and Localization
  • Autonomously Adaptive Experimentation-Driven Pipeline
  • VALICY – a virtual validation system for AI/ML and complex software applications
  • SAGED: Error Detector for Tabular Data
  • Cost-effecient ML
  • ML Metrics Typology + AI Ethics Metrics
  • Calibrated confidence estimator
  • Inference scaling
  • Rare node co-activations in error detection
  • Continuous data monitoring and cleaning dashboard for smart meters
  • Privacy-friendly Image Preparation for TinyML
  • The IML4E Maturity Assessment Scheme 
  • Model cards toolkit
  • CABC for MLOps
Resources
  • Conferences and Publications
  • Deliverables
Up to date
  • News
About
  • Countries
  • Partners

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