Jisk Attema
DIVE+
Interacting with historical events in linked cultural heritage
- Crowdsourcing
- Inter-operability & linked data
- Semantic Web
What Works When for Whom?
Advancing therapy change process research
- Machine learning
- Text analysis & natural language processing
The eye of the beholder
Transparent pipelines for assessing online information quality
- Machine learning
Understanding visually grounded spoken language via multi-tasking
An alternative approach for intelligent systems to understand human speech
- Image processing
- Machine learning
PIDIMEHS
Pillarization and depillarization tested in digitized media historical sources
- Text analysis & natural language processing
PuReGoMe
Understanding Dutch public sentiment during the COVID-19 outbreak period by analyzing real-time...
- COVID-19
- Machine learning
- Text analysis & natural language processing
Automated video-based movement assessment
Automated video-based movement assessment using machine learning to support personalized treatment of movement disorders
- Machine learning
From Sentiment Mining to Mining Embodied Emotions
Emotional styles on the Dutch stage between 1600-1800
- Text analysis & natural language processing
Case Law Analytics
Discovering new patterns in Dutch court decisions
- social network analysis
- Visualization
Dr. Watson
Medical experts helping machines diagnose
- Crowdsourcing
- Human-computer interaction
- open data
- + 1
BiographyNet
Extracting relations between people and events
- Text analysis & natural language processing
Different kinds of laughter
A machine learning approach
- Audio processing
- Machine learning