ADAPTAPlan project provides dynamic assistance for reducing authors' effort in developing instructional design tasks using user modelling, planning and machine learning techn...
Silvia Baldiris, Olga C. Santos, Carmen Barrera, J...
We address the challenge of semantic gap reduction for image retrieval through an improved SVM-based active relevance feedback framework, together with a hybrid visual and concept...
Closed sets have been proven successful in the context of compacted data representation for association rule learning. However, their use is mainly descriptive, dealing only with ...
Abstract—We present a motion planning algorithm that computes rough trajectories used by a contact-points planner as a guide to grow its search graph. We adapt collision-free mot...
Privacy provision and data protection are basic requirements for professional learning, especially when personalized systems are used that adapt to sensitive learner personal data...