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Publication search results
found 50 matches
- 2024
- Qinli Zhang, Yan Song, Yichun Peng, Zhaowen Li:
Attribute reduction algorithms with an anti-noise mechanism for hybrid data based on fuzzy evidence theory. Eng. Appl. Artif. Intell. 129: 107659 (2024) - Xiaoli Peng, Ping Wang, Yabin Shao, Yuanlin Gong, Jie Qian:
Fast fixed granular-ball for attribute reduction in label noise environments and its application in medical diagnosis. Int. J. Mach. Learn. Cybern. 15(3): 1039-1054 (2024) - 2023
- Hui Zhou, Xin Liu, Xiangju Li, Zhongying Zhao, Chao Li:
Adversarial variational autoencoder for attributed graph embedding with high-frequency noise filtering. Appl. Intell. 53(22): 26750-26762 (2023) - Shiwei Zeng, Jie Shen:
Attribute-Efficient PAC Learning of Low-Degree Polynomial Threshold Functions with Nasty Noise. ICML 2023: 40719-40748 - Shiwei Zeng, Jie Shen:
Attribute-Efficient PAC Learning of Low-Degree Polynomial Threshold Functions with Nasty Noise. CoRR abs/2306.00673 (2023) - Laura Iacovissi, Nan Lu, Robert C. Williamson:
A General Framework for Learning under Corruption: Label Noise, Attribute Noise, and Beyond. CoRR abs/2307.08643 (2023) - 2022
- Xiaoli Peng, Ping Wang, Shuyin Xia, Cheng Wang, Weiqi Chen:
VPGB: A granular-ball based model for attribute reduction and classification with label noise. Inf. Sci. 611: 504-521 (2022) - Khaled Walid Al-Sabbagh, Miroslaw Staron, Regina Hebig:
Improving test case selection by handling class and attribute noise. J. Syst. Softw. 183: 111093 (2022) - Haitao Ma, Yu Sun, Ning Wu, Yue Li:
Relative Attributes-Based Generative Adversarial Network for Desert Seismic Noise Suppression. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - José A. Sáez, Emilio Corchado:
ANCES: A novel method to repair attribute noise in classification problems. Pattern Recognit. 121: 108198 (2022) - Thomas Ranvier, Haytham Elghazel, Emmanuel Coquery, Khalid Benabdeslem:
Autoencoder-Based Attribute Noise Handling Method for Medical Data. ICONIP (6) 2022: 212-223 - Thomas Ranvier, Haytham Elghazel, Emmanuel Coquery, Khalid Benabdeslem:
Autoencoder-based Attribute Noise Handling Method for Medical Data. CoRR abs/2206.10609 (2022) - 2021
- Hsiao-Wei Hu, Yen-Liang Chen, Jia-Yu Hong:
Noise-free attribute-oriented induction. Inf. Sci. 568: 333-349 (2021) - Qing-mei Tan, Xuna Wang:
Multi-Attribute Preferences Mining Method for Group Users with the Process of Noise Reduction. J. Comput. Sci. Technol. 36(4): 944-960 (2021) - Mahdi Cheraghchi, Elena Grigorescu, Brendan Juba, Karl Wimmer, Ning Xie:
List Learning with Attribute Noise. AISTATS 2021: 2215-2223 - Jie Shen, Chicheng Zhang:
Attribute-Efficient Learning of Halfspaces with Malicious Noise: Near-Optimal Label Complexity and Noise Tolerance. ALT 2021: 1072-1113 - 2020
- Natthakan Iam-on:
Clustering data with the presence of attribute noise: a study of noise completely at random and ensemble of multiple k-means clusterings. Int. J. Mach. Learn. Cybern. 11(3): 491-509 (2020) - Aditya Petety, Sandhya Tripathi, N. Hemachandra:
Attribute Noise Robust Binary Classification (Student Abstract). AAAI 2020: 13897-13898 - Jingwei Xin, Nannan Wang, Xinrui Jiang, Jie Li, Xinbo Gao, Zhifeng Li:
Facial Attribute Capsules for Noise Face Super Resolution. AAAI 2020: 12476-12483 - Jingwei Xin, Nannan Wang, Xinrui Jiang, Jie Li, Xinbo Gao, Zhifeng Li:
Facial Attribute Capsules for Noise Face Super Resolution. CoRR abs/2002.06518 (2020) - Jie Shen, Chicheng Zhang:
Attribute-Efficient Learning of Halfspaces with Malicious Noise: Near-Optimal Label Complexity and Noise Tolerance. CoRR abs/2006.03781 (2020) - Mahdi Cheraghchi, Elena Grigorescu, Brendan Juba, Karl Wimmer, Ning Xie:
List Learning with Attribute Noise. CoRR abs/2006.06850 (2020) - 2019
- Jeremy Speth, Emily M. Hand:
Automated Label Noise Identification for Facial Attribute Recognition. CVPR Workshops 2019: 25-28 - Aditya Petety, Sandhya Tripathi, N. Hemachandra:
Attribute noise robust binary classification. CoRR abs/1911.07875 (2019) - 2017
- Safak Guner Koc, Erchan Aptoula, Petra Bosilj, Bharath Bhushan Damodaran, Mauro Dalla Mura, Sébastien Lefèvre:
A comparative noise robustness study of tree representations for attribute profile construction. SIU 2017: 1-4 - 2015
- Miroslaw Kordos, Andrzej Rusiecki, Marcin Blachnik:
Noise reduction in regression tasks with distance, instance, attribute and density weighting. CYBCONF 2015: 73-78 - Itay Hazan, Asaf Shabtai:
Noise Reduction of Mobile Sensors Data in the Prediction of Demographic Attributes. MOBILESoft 2015: 117-120 - 2013
- Michael C. I. Nwogugu:
Sub-additive Recursive "Matching" noise and Biases in Risk-Weighted Index calculation Methods in Incomplete Markets with Partially Observable Multi-Attribute Preferences. Discret. Math. Algorithms Appl. 5(3) (2013) - 2011
- Akinobu Miyata, Jun Tarui, Etsuji Tomita:
Learning Boolean functions in AC0 on attribute and classification noise - Estimating an upper bound on attribute and classification noise. Theor. Comput. Sci. 412(35): 4650-4660 (2011) - 2009
- Michael V. Mannino, Yanjuan Yang, Young Ryu:
Classification algorithm sensitivity to training data with non representative attribute noise. Decis. Support Syst. 46(3): 743-751 (2009)
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