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Research Group led by Prof. Dr. rer. nat. habil. Thomas Villmann
Research areas and areas of expertise
Key areas of theoretical research include, amongst others:
- interpretable AI systems
- AI models with limited resources (Smart Systems AI)
- Decision reliability of AI classification systems
- Robustness of AI systems
- Mathematical verification
Application-oriented problems include, amongst others:
- Model confidence and rejection strategies
- Transfer learning
- Intelligent sensor fusion
- Integration of expert knowledge – knowledge-informed AI
- Relevance learning and causal AI
RAISSE technology – Reliable AI for Smart Systems Engineering
Areas of application covered include:
- Bioinformatics and medicine
- Diagnostic support
- Analysis of sequence data in molecular biology
- Spectral fingerprinting in agriculture
- Sensor data analysis and sensor fusion in technical systems
- Smart Sensor Systems
- Object detection in autonomous driving
- Banknote detection
- AI for complex technical systems
- Motion detection and analysis of people
- Plant control
AI in education and learning analytics
The team
