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Bert De Coensel |
- Acoustic feature engineering
- Sound event detection and recognition
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- Feature engineering
- Supervised classification
- Clustering
- Deep learning
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- Fusion of semantics & machine learning
- Adaptive anomaly detection & root cause analysis
- Cross-context learning (transfer learning)
- Contextual bandits (context-aware reinforcement learning)
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- Reinforcement learning
- Brain-body optimisation
- Learning from human demonstration
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- Deep learning
- Brain inspired and neuromorphic computing
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- Geospatial AI (GeoAI)
- Classification
- Clustering
- Outlier detection
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- Feature learning for multimedia compression
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- Metaheuristics
- Automatic algorithm configuration
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- ML for predictive healthcare and predictive maintenance
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- ML in sports analytics/data science and media/cultural heritage
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- Data fusion
- Semi-supervised learning
- Kernel methods
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- Data-efficient Machine Learning (DE-ML)
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- Learning from demonstration
- Social machine learning
- Machine learning for robots
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- Feature engineering
- Handling skew
- Sampling
- Genetic algorithms
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