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Publication search results
found 413 matches
- 2024
- Liangxin Dong, Lei Wang, Feng Gao, Yiyang Chen:
Static Iterative Learning Control Over Finite Frequency Domain for Actuator Failure Uncertain Systems. IEEE Access 12: 22524-22533 (2024) - Licong Guan, Xue Yuan:
Label-free model evaluation and weighted uncertainty sample selection for domain adaptive instance segmentation. Eng. Appl. Artif. Intell. 127(Part A): 107204 (2024) - Kamala Aliyeva, Nijat Mehdiyev:
Uncertainty-aware multi-criteria decision analysis for evaluation of explainable artificial intelligence methods: A use case from the healthcare domain. Inf. Sci. 657: 119987 (2024) - Harri Hakula, Helmut Harbrecht, Vesa Kaarnioja, Frances Y. Kuo, Ian H. Sloan:
Uncertainty quantification for random domains using periodic random variables. Numerische Mathematik 156(1): 273-317 (2024) - Xi Peng, Fengchun Qiao, Long Zhao:
Out-of-Domain Generalization From a Single Source: An Uncertainty Quantification Approach. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1775-1787 (2024) - Tao Liu, Yiru Wang, Haotong Wang:
Open Set Domain Adaptation for Electronic Nose Drift Compensation on Uncertain Category Data. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - Xinyu Zhang, Meng Kang, Shuai Lü:
Low Category Uncertainty and High Training Potential Instance Learning for Unsupervised Domain Adaptation. AAAI 2024: 16881-16889 - Zheyuan Zhang, Bin Wang, Debesh Jha, Ugur Demir, Ulas Bagci:
Domain Generalization with Correlated Style Uncertainty. WACV 2024: 1989-1998 - Ismail Nejjar, Gaëtan Frusque, Florent Forest, Olga Fink:
Uncertainty-Guided Alignment for Unsupervised Domain Adaptation in Regression. CoRR abs/2401.13721 (2024) - Yaxuan Song, Jianan Fan, Dongnan Liu, Weidong Cai:
Multi-source-free Domain Adaptation via Uncertainty-aware Adaptive Distillation. CoRR abs/2402.06213 (2024) - Anastasios Arsenos, Dimitrios D. Kollias, Evangelos Petrongonas, Christos Skliros, Stefanos D. Kollias:
Uncertainty-guided Contrastive Learning for Single Source Domain Generalisation. CoRR abs/2403.07514 (2024) - S. Chandra Mouli, Danielle C. Maddix, Shima Alizadeh, Gaurav Gupta, Andrew Stuart, Michael W. Mahoney, Yuyang Wang:
Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs. CoRR abs/2403.10642 (2024) - Xi Chen, Haosen Yang, Huicong Zhang, Hongxun Yao, Xiatian Zhu:
Uncertainty-Aware Pseudo-Label Filtering for Source-Free Unsupervised Domain Adaptation. CoRR abs/2403.11256 (2024) - 2023
- Mona Moradi, Javad Hamidzadeh, Reza Monsefi:
ABT-SVDD: A method for uncertainty handling in domain adaptation using belief function theory. Appl. Soft Comput. 147: 110787 (2023) - Pei Dang, Weixiong Mai, Wenliang Pan:
Uncertainty principle in random quaternion domains. Digit. Signal Process. 136: 103988 (2023) - Camilo Amaya, Axel von Arnim:
Neurorobotic reinforcement learning for domains with parametrical uncertainty. Frontiers Neurorobotics 17 (2023) - Zhicheng Wang, Hongqing Zhu, Bingcang Huang, Ziying Wang, Weiping Lu, Ning Chen, Ying Wang:
M-MSSEU: source-free domain adaptation for multi-modal stroke lesion segmentation using shadowed sets and evidential uncertainty. Health Inf. Sci. Syst. 11(1): 46 (2023) - JoonHo Lee, Gyemin Lee:
Unsupervised domain adaptation based on the predictive uncertainty of models. Neurocomputing 520: 183-193 (2023) - Yingdong Gou, Kexin Wang, Siwen Wei, Changxin Shi:
GMDA: GCN-Based Multi-Modal Domain Adaptation for Real-Time Disaster Detection. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 31(6): 957-973 (2023) - Mona Moradi, Mohammad Rahmanimanesh, Ali Shahzadi, Reza Monsefi:
Smooth unsupervised domain adaptation considering uncertainties. Inf. Sci. 648: 119602 (2023) - Rui Zhang, Yan Tian, Dongsheng Liu:
Uncertainty Region Discovery and Model Refinement for Domain Adaptation in Road Detection. IEEE Intell. Transp. Syst. Mag. 15(2): 128-136 (2023) - Dong Chen, Hongqing Zhu, Suyi Yang:
UC-SFDA: Source-free domain adaptation via uncertainty prediction and evidence-based contrastive learning. Knowl. Based Syst. 275: 110728 (2023) - Mingwen Shao, Yuanjian Qiao, Deyu Meng, Wangmeng Zuo:
Uncertainty-guided hierarchical frequency domain Transformer for image restoration. Knowl. Based Syst. 263: 110306 (2023) - Nima Ebadi, Ruiqi Li, Arun Das, Arkajyoti Roy, Papanikolaou Nikos, Peyman Najafirad:
CBCT-guided adaptive radiotherapy using self-supervised sequential domain adaptation with uncertainty estimation. Medical Image Anal. 86: 102800 (2023) - Hendrik Alexander Mehrtens, Alexander Kurz, Tabea-Clara Bucher, Titus J. Brinker:
Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise. Medical Image Anal. 89: 102914 (2023) - Jun Dan, Tao Jin, Hao Chi, Shunjie Dong, Yixuan Shen:
Uncertainty-guided joint unbalanced optimal transport for unsupervised domain adaptation. Neural Comput. Appl. 35(7): 5351-5367 (2023) - JoonHo Lee, Gyemin Lee:
Feature Alignment by Uncertainty and Self-Training for Source-Free Unsupervised Domain Adaptation. Neural Networks 161: 682-692 (2023) - Mirza Ramicic, Andrea Bonarini:
Uncertainty maximization in partially observable domains: A cognitive perspective. Neural Networks 162: 456-471 (2023) - Pierre-Yves Lajoie, Giovanni Beltrame:
Self-Supervised Domain Calibration and Uncertainty Estimation for Place Recognition. IEEE Robotics Autom. Lett. 8(2): 792-799 (2023) - Qing Zhang, Lv Tang, Jianping Xuan, Tielin Shi, Rui Li:
An uncertainty relevance metric-based domain adaptation fault diagnosis method to overcome class relevance caused confusion. Reliab. Eng. Syst. Saf. 231: 109040 (2023)
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