| Fully convolutional neural networks for raw eye tracking data segmentation, generation, and reconstruction W Fuhl, Y Rong, E Kasneci 2020 25th International Conference on Pattern Recognition (ICPR), 142-149, 2021 | 67 | 2021 |
| A Consistent and Efficient Evaluation Strategy for Attribution Methods Y Rong, T Leemann, V Borisov, G Kasneci, E Kasneci Proceedings of the 39th International Conference on Machine Learning, 2022 | 65* | 2022 |
| Explainable online validation of machine learning models for practical applications W Fuhl, Y Rong, T Motz, M Scheidt, A Hartel, A Koch, E Kasneci 2020 25th International Conference on Pattern Recognition (ICPR), 3304-3311, 2021 | 47 | 2021 |
| Towards Human-Centered Explainable AI: A Survey of User Studies for Model Explanations Y Rong, T Leemann, TT Nguyen, L Fiedler, P Qian, V Unhelkar, T Seidel, ... IEEE Transactions on Pattern Analysis & Machine Intelligence, 1-20, 2023 | 35* | 2023 |
| Driver intention anticipation based on in-cabin and driving scene monitoring Y Rong, Z Akata, E Kasneci 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 30 | 2020 |
| Human Attention in Fine-grained Classification Y Rong, W Xu, Z Akata, E Kasneci British Machine Vision Conference (BMVC), 2021 | 26 | 2021 |
| Drivermhg: A multi-modal dataset for dynamic recognition of driver micro hand gestures and a real-time recognition framework O Köpüklü, T Ledwon, Y Rong, N Kose, G Rigoll 2020 15th IEEE International Conference on Automatic Face and Gesture …, 2020 | 23 | 2020 |
| Artificial Intelligence Methods in In-Cabin Use Cases: A Survey Y Rong, C Han, C Hellert, A Loyal, E Kasneci IEEE Intelligent Transportation Systems Magazine, 2021 | 16 | 2021 |
| When are Post-hoc Conceptual Explanations Identifiable? T Leemann, M Kirchhof, Y Rong, E Kasneci, G Kasneci Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial …, 2022 | 7* | 2022 |
| Where and what: Driver attention-based object detection Y Rong, NR Kassautzki, W Fuhl, E Kasneci Proceedings of the ACM on Human-Computer Interaction 6 (ETRA), 1-22, 2022 | 7 | 2022 |
| Talking with your hands: Scaling hand gestures and recognition with cnns O Kopuklu, Y Rong, G Rigoll Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 6 | 2019 |
| Efficient gnn explanation via learning removal-based attribution Y Rong, G Wang, Q Feng, N Liu, Z Liu, E Kasneci, X Hu arXiv preprint arXiv:2306.05760, 2023 | 4 | 2023 |
| User Trust on an Explainable AI-based Medical Diagnosis Support System Y Rong, N Castner, E Bozkir, E Kasneci CHI-TRAIT: Workshop on Trust and Reliance in AI-Human Teams, 2022 | 4 | 2022 |
| Caution to the exemplars: On the intriguing effects of example choice on human trust in xai T Leemann, Y Rong, TT Nguyen, E Kasneci, G Kasneci XAI in Action: Past, Present, and Future Applications, 2023 | 3 | 2023 |
| Coherence evaluation of visual concepts with objects and language T Leemann, Y Rong, S Kraft, E Kasneci, G Kasneci ICLR2022 Workshop on the Elements of Reasoning: Objects, Structure and Causality, 2022 | 3 | 2022 |
| Gaze-Guided Graph Neural Network for Action Anticipation Conditioned on Intention S Ozdel, Y Rong, BM Albaba, YL Kuo, X Wang arXiv preprint arXiv:2404.07347, 2024 | 1 | 2024 |
| A Transformer-Based Model for the Prediction of Human Gaze Behavior on Videos S Ozdel, Y Rong, BM Albaba, YL Kuo, X Wang arXiv preprint arXiv:2404.07351, 2024 | | 2024 |
| Stepwise Self-Consistent Mathematical Reasoning with Large Language Models Z Zhao, Y Rong, D Guo, E Gözlüklü, E Gülboy, E Kasneci arXiv preprint arXiv:2402.17786, 2024 | | 2024 |
| I-CEE: Tailoring Explanations of Image Classification Models to User Expertise Y Rong, P Qian, V Unhelkar, E Kasneci AAAI Conference on Artificial Intelligence, 2023 | | 2023 |
| DynStatF: An Efficient Feature Fusion Strategy for LiDAR 3D Object Detection Y Rong, X Wei, T Lin, Y Wang, E Kasneci Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | | 2023 |
Enkelejda KasneciProfessor at the Technical University of MunichVerified email at tum.de
