Innovations and Objectives
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
- Pipeline Probe
- Data Quality Evaluation Tool
- OSS MLOps platform
- Validation of pose estimation models
Resources
Up to date