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Katrien Verbert

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Explainability methods
byKatrien Verbert
 
Human-centered AI: how can we support end-users to interact with AI?
byKatrien Verbert
 
Human-centered AI: how can we support end-users to interact with AI?
byKatrien Verbert
 
Human-centered AI: how can we support lay users to understand AI?
byKatrien Verbert
 
Explaining job recommendations: a human-centred perspective
byKatrien Verbert
 
Explaining recommendations: design implications and lessons learned
byKatrien Verbert
 
Designing Learning Analytics Dashboards: Lessons Learned
byKatrien Verbert
 
Human-centered AI: towards the next generation of interactive and adaptive explanation methods
byKatrien Verbert
 
Explainable AI for non-expert users
byKatrien Verbert
 
Towards the next generation of interactive and adaptive explanation methods
byKatrien Verbert
 
Personalized food recommendations: combining recommendation, visualization and augmented reality techniques for healthier food decision-making
byKatrien Verbert
 
Explaining and Exploring Job Recommendations: a User-driven Approach for Interacting with Knowledge-based Job Recommender Systems
byKatrien Verbert
 
Learning analytics for feedback at scale
byKatrien Verbert
 
Interactive recommender systems and dashboards for learning
byKatrien Verbert