Publikationen A Grid-based Sensor Floor Platform for Robot Localization using Machine Learning Gouda, Anas; Heinrich, Danny; Hünnefeld, Mirco; Priyanta, Irfan Fachrudin; Reining, Christopher; Roidl, Moritz, 2023 DoUnseen: Tuning-Free Class-Adaptive Object Detection of Unseen Objects for Robotic Grasping Gouda, Anas; Roidl, Moritz, 2023 Veröffentlicht in: Workshop on Perception and Manipulation Challenges for Warehouse Automation SCANNER: A Spatio-temporal Correlation and Neighborhood-based Feature Enrichment for Traffic Prediction Gounoue, Steve; Yu, Ran; Demidova, Elena, 2023 SugarViT — Multi-objective Regression of UAV Images with Vision Transformers and Deep Label Distribution Learning Demonstrated on Disease Severity Prediction in Sugar Beet Günder, Maurice; Yamati, Facundo Ramón Ispizua; Alcántara, Abel Andree Barreto; Mahlein, Anne-Katrin; Sifa, Rafet; Bauckhage, Christian, 2023 Veröffentlicht in: arXiv Probabilistic Reaction Time Analysis Günzel, Mario; Ueter, Niklas; Chen, Kuan-Hsun; von der Brüggen, Georg; Chen, Jian-Jia, 2023 Veröffentlicht in: ACM Transactions on Embedded Computing Systems On the Equivalence of Maximum Reaction Time and Maximum Data Age for Cause-Effect Chains Günzel, Mario; Teper, Harun; Chen, Kuan-Hsun; von der Brüggen, Georg; Chen, Jian-Jia, 2023 The Relevance of Muon Deflections for Neutrino Telescopes Gutjahr, Pascal; Alameddine, Jean-Marco; Sandrock, Alexander; Soedingrekso, Jan; Hünnefeld, Mirco; Rhode, Wolfgang, 2023 Free-Energy Advantage Functions for Policy Transfer to Noisy Environments with Safety Constraints Haritz, Pierre; Liebig, Thomas, 2023 Shapley Values with Uncertain Value Functions Heese, Raoul; Mücke, Sascha; Jakobs, Matthias; Gerlach, Thore; Piatkowski, Nico, 2023 Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning Heese, Raoul; Gerlach, Thore; Mücke, Sascha; Müller, Sabine; Jakobs, Matthias; Piatkowski, Nico, 2023 Veröffentlicht in: arXiv «1…9596979899…117»