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Development of a Framework for Continual Learning in Industrial Robotics2022 IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) conference-paper Computer Science Domain Adaptation and Few-Shot Learning
Minh Trinh, Lukas Grundel, Victoria Hankemeier, Simon Storms, Christian Brecher
1citations -
Effects of Collaborative Augmented Reality on Communication and Interaction in Learning Contexts – Results of a Qualitative Pre-Study2020 ASEE Annual Conference & Exposition conference-paper Computer Science Augmented Reality Applications
Nina Schiffeler, Valerie Stehling, Frank Hees, Ingrid Isenhardt
7citations -
SEVERE++: Evaluating Benchmark Sensitivity in Generalization of Video Representation Learning2025 arXiv (Cornell University) preprint Computer Science Human Pose and Action Recognition Open access
Fida Mohammad Thoker, Letian Jiang, Chen Zhao, Piyush Bagad, Hazel Doughty, Bernard Ghanem, +1 more
0citations -
High-Quality I/O Bandwidth Prediction with Minimal Data via Transfer Learning Workflow2024 IEEE International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD) conference-paper Computer Science Parallel Computing and Optimization Techniques
Dmytro Povaliaiev, Radita Liem, Julian Martin Kunkel, Jay Lofstead, Philip Carns
4citations -
Anywhere Academy — Avatar-Based Collaborative Teaching and Learning in VR2026 Lecture notes in computer science conference-paper Computer Science Virtual Reality Applications and Impacts Open access
Patrick Querl, Raymond Leonardo Chandra, Koen Castermans, Djamel Berkaoui, Heribert Nacken
0citations -
Continual learning in medical image analysis: A comprehensive review of recent advancements and future prospects2025 Medical Image Analysis article Computer Science Domain Adaptation and Few-Shot Learning Open access
Joohi Chauhan, Afshin Bozorgpour, Boqiang Huang, Reza Azad, Dorit Merhof
26citations -
MontiSim: Agent-Based Simulation for Reinforcement Learning of Autonomous Driving2023 IEEE International Conference on Intelligent Transportation Systems (ITSC) conference-paper Computer Science Reinforcement Learning in Robotics
Tristan Höfer, Mattis Hoppe, Evgeny Kusmenko, Bernhard Rumpe⋆
0citations -
Application of convex hull analysis for the evaluation of data heterogeneity between patient populations of different origin and implications of hospital bias in downstream machine-learning-based data processing: A comparison of 4 critical-care patient datasets
Konstantin Sharafutdinov, Jayesh Sudhir Bhat, Sebastian Johannes Fritsch, Kateryna Nikulina, Moein E. Samadi, Richard Polzin, +4 more
12citations