Projects in the field of Machine Learning
- Intelligent Technologies for Cultural Visits and Mobile Education (ITCH)
- Data-driven Techniques in African Language Technology (AFLAT)
- EuResist
- Cross-Lingual Multi-Agent Retail Comparison (CROSSMARC)
- Pattern Analysis, Statistical Modelling and Computational Learning (PASCAL2)
- MILEPOST
- Cross-Lingual Multi-Agent Retail Comparison (CROSSMARC)
- Text Analysis and Machine Learning for Prosody (Genetic)
- Semaduct
- Mobile Learning and Language Technology (MELFA)
- COntent Processing by Integrating Logical and Statistical Knowledge (COPILOSK)
- XLike
- Simple4All
- TrendMiner (FP7-ICT )