Ruben Verhagen
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Tractogram filtering of anatomically non-plausible fibers with geometric deep learning
P Astolfi, R Verhagen, L Petit, E Olivetti, J Masci, D Boscaini, P Avesani
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
A two-dimensional explanation framework to classify ai as incomprehensible, interpretable, or understandable
RS Verhagen, MA Neerincx, ML Tielman
International workshop on explainable, transparent autonomous agents and …, 2021
The influence of interdependence and a transparent or explainable communication style on human-robot teamwork
RS Verhagen, MA Neerincx, ML Tielman
Frontiers in Robotics and AI 9, 993997, 2022
Supervised tractogram filtering using Geometric Deep Learning
P Astolfi, R Verhagen, L Petit, E Olivetti, S Sarubbo, J Masci, D Boscaini, ...
Medical Image Analysis 90, 102893, 2023
Personalized agent explanations for human-agent teamwork: Adapting explanations to user trust, workload, and performance
RS Verhagen, MA Neerincx, C Parlar, M Vogel, ML Tielman
Proceedings of the 2023 International Conference on Autonomous Agents and …, 2023
Exploring Effectiveness of Explanations for Appropriate Trust: Lessons from Cognitive Psychology
RS Verhagen, S Mehrotra, MA Neerincx, CM Jonker, ML Tielman
arXiv preprint arXiv:2210.03737, 2022
Meaningful human control and variable autonomy in human-robot teams for firefighting
RS Verhagen, MA Neerincx, ML Tielman
Frontiers in Robotics and AI 11, 1323980, 2024
Appropriate context-dependent artificial trust in human-machine teamwork
CC Jorge, EM van Zoelen, R Verhagen, S Mehrotra, CM Jonker, ...
Putting AI in the Critical Loop, 41-60, 2024
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