Ruben S. Verhagen

12 papers A 1Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
Advancing Human-Machine Teaming: Definitions, Challenges, Future Directions.
HHAI
Ruben S. Verhagen, Mark A. Neerincx, X. Jessie Yang, Myrthe L. Tielman
2025 — conf
Agent Allocation of Moral Decisions in Human-Agent Teams: Raise Human Involvement and Explain Potential Consequences.
FAccT
Ruben S. Verhagen, Mark A. Neerincx, Myrthe L. Tielman
2024 J jnl
Meaningful human control and variable autonomy in human-robot teams for firefighting.
Frontiers Robotics AI
Ruben S. Verhagen, Mark A. Neerincx, Myrthe L. Tielman
2024 — conf
The Influence of Interdependence on Trust Calibration in Human-Machine Teams.
HHAI
Ruben S. Verhagen, Alexandra Marcu, Mark A. Neerincx, Myrthe L. Tielman
2023 A conf
Personalized Agent Explanations for Human-Agent Teamwork: Adapting Explanations to User Trust, Workload, and Performance.
AAMAS
Ruben S. Verhagen, Mark A. Neerincx, Can Parlar, Marin Vogel, Myrthe L. Tielman
2023 J jnl
Supervised tractogram filtering using Geometric Deep Learning.
Medical Image Anal.
Pietro Astolfi, Ruben S. Verhagen, Laurent Petit, Emanuele Olivetti, Silvio Sarubbo, Jonathan Masci, Davide Boscaini, Paolo Avesani
2022 J jnl
Exploring Effectiveness of Explanations for Appropriate Trust: Lessons from Cognitive Psychology.
CoRR
Ruben S. Verhagen, Siddharth Mehrotra, Mark A. Neerincx, Catholijn M. Jonker, Myrthe L. Tielman
2022 J jnl
Supervised Tractogram Filtering using Geometric Deep Learning.
CoRR
Pietro Astolfi, Ruben S. Verhagen, Laurent Petit, Emanuele Olivetti, Silvio Sarubbo, Jonathan Masci, Davide Boscaini, Paolo Avesani
2022 J jnl
The influence of interdependence and a transparent or explainable communication style on human-robot teamwork.
Frontiers Robotics AI
Ruben S. Verhagen, Mark A. Neerincx, Myrthe L. Tielman
2021 — conf
A Two-Dimensional Explanation Framework to Classify AI as Incomprehensible, Interpretable, or Understandable.
EXTRAAMAS@AAMAS
Ruben S. Verhagen, Mark A. Neerincx, Myrthe L. Tielman
2020 — conf
Tractogram Filtering of Anatomically Non-plausible Fibers with Geometric Deep Learning.
MICCAI (7)
Pietro Astolfi, Ruben S. Verhagen, Laurent Petit, Emanuele Olivetti, Jonathan Masci, Davide Boscaini, Paolo Avesani
2020 J jnl
Tractogram filtering of anatomically non-plausible fibers with geometric deep learning.
CoRR
Pietro Astolfi, Ruben S. Verhagen, Laurent Petit, Emanuele Olivetti, Jonathan Masci, Davide Boscaini, Paolo Avesani