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Ruben Verhagen
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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
232021
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
202020
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
102022
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
22023
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
22023
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
12024
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
12024
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
12022
Explainable AI for Meaningful Human Control
R Verhagen
OSF, 2024
2024
The Influence of Interdependence on Trust Calibration in Human-Machine Teams
RS Verhagen, A Marcu, MA Neerincx, ML Tielman
HHAI 2024: Hybrid Human AI Systems for the Social Good, 300-314, 2024
2024
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