Статті в журналах з теми "Multi-labels"
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Lee, Seongmin, Hyunsik Jeon, and U. Kang. "Multi-EPL: Accurate multi-source domain adaptation." PLOS ONE 16, no. 8 (August 5, 2021): e0255754. http://dx.doi.org/10.1371/journal.pone.0255754.
Повний текст джерелаHao, Pingting, Kunpeng Liu, and Wanfu Gao. "Double-Layer Hybrid-Label Identification Feature Selection for Multi-View Multi-Label Learning." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 11 (March 24, 2024): 12295–303. http://dx.doi.org/10.1609/aaai.v38i11.29120.
Повний текст джерелаSun, Kai-Wei, Chong Ho Lee, and Xiao-Feng Xie. "MLHN: A Hypernetwork Model for Multi-Label Classification." International Journal of Pattern Recognition and Artificial Intelligence 29, no. 06 (August 12, 2015): 1550020. http://dx.doi.org/10.1142/s0218001415500202.
Повний текст джерелаGuo, Hai-Feng, Lixin Han, Shoubao Su, and Zhou-Bao Sun. "Deep Multi-Instance Multi-Label Learning for Image Annotation." International Journal of Pattern Recognition and Artificial Intelligence 32, no. 03 (November 22, 2017): 1859005. http://dx.doi.org/10.1142/s021800141859005x.
Повний текст джерелаXing, Yuying, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang, and Maozu Guo. "Multi-View Multi-Instance Multi-Label Learning Based on Collaborative Matrix Factorization." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 5508–15. http://dx.doi.org/10.1609/aaai.v33i01.33015508.
Повний текст джерелаLi, Lei, Yuqi Chu, Guanfeng Liu, and Xindong Wu. "Multi-Objective Optimization-Based Networked Multi-Label Active Learning." Journal of Database Management 30, no. 2 (April 2019): 1–26. http://dx.doi.org/10.4018/jdm.2019040101.
Повний текст джерелаChen, Tianshui, Tao Pu, Hefeng Wu, Yuan Xie, and Liang Lin. "Structured Semantic Transfer for Multi-Label Recognition with Partial Labels." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 1 (June 28, 2022): 339–46. http://dx.doi.org/10.1609/aaai.v36i1.19910.
Повний текст джерелаHuang, Jun, Linchuan Xu, Kun Qian, Jing Wang, and Kenji Yamanishi. "Multi-label learning with missing and completely unobserved labels." Data Mining and Knowledge Discovery 35, no. 3 (March 12, 2021): 1061–86. http://dx.doi.org/10.1007/s10618-021-00743-x.
Повний текст джерелаChen, Ze-Sen, Xuan Wu, Qing-Guo Chen, Yao Hu, and Min-Ling Zhang. "Multi-View Partial Multi-Label Learning with Graph-Based Disambiguation." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 3553–60. http://dx.doi.org/10.1609/aaai.v34i04.5761.
Повний текст джерелаHuang, Jun, Haowei Rui, Guorong Li, Xiwen Qu, Tao Tao, and Xiao Zheng. "Multi-Label Learning With Hidden Labels." IEEE Access 8 (2020): 29667–76. http://dx.doi.org/10.1109/access.2020.2972599.
Повний текст джерелаTan, Z. M., J. Y. Liu, Q. Li, D. Y. Wang, and C. Y. Wang. "An approach to error label discrimination based on joint clustering." Journal of Physics: Conference Series 2294, no. 1 (June 1, 2022): 012018. http://dx.doi.org/10.1088/1742-6596/2294/1/012018.
Повний текст джерелаLiu, Xinda, and Lili Wang. "Multi-granularity sequence generation for hierarchical image classification." Computational Visual Media 10, no. 2 (January 3, 2024): 243–60. http://dx.doi.org/10.1007/s41095-022-0332-2.
Повний текст джерелаXie, Ming-Kun, and Sheng-Jun Huang. "Partial Multi-Label Learning with Noisy Label Identification." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 6454–61. http://dx.doi.org/10.1609/aaai.v34i04.6117.
Повний текст джерелаPeng, Cheng, Ke Chen, Lidan Shou, and Gang Chen. "CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 13 (March 24, 2024): 14581–89. http://dx.doi.org/10.1609/aaai.v38i13.29374.
Повний текст джерелаZhang, Ping, Wanfu Gao, Juncheng Hu, and Yonghao Li. "Multi-Label Feature Selection Based on High-Order Label Correlation Assumption." Entropy 22, no. 7 (July 21, 2020): 797. http://dx.doi.org/10.3390/e22070797.
Повний текст джерелаLidén, Mats, Ola Hjelmgren, Jenny Vikgren, and Per Thunberg. "Multi-Reader–Multi-Split Annotation of Emphysema in Computed Tomography." Journal of Digital Imaging 33, no. 5 (August 10, 2020): 1185–93. http://dx.doi.org/10.1007/s10278-020-00378-2.
Повний текст джерелаWu, Xingyu, Bingbing Jiang, Kui Yu, Huanhuan Chen, and Chunyan Miao. "Multi-Label Causal Feature Selection." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 6430–37. http://dx.doi.org/10.1609/aaai.v34i04.6114.
Повний текст джерелаFang, Jun-Peng, and Min-Ling Zhang. "Partial Multi-Label Learning via Credible Label Elicitation." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 3518–25. http://dx.doi.org/10.1609/aaai.v33i01.33013518.
Повний текст джерелаZhu, Yue, Kai Ming Ting, and Zhi-Hua Zhou. "Multi-Label Learning with Emerging New Labels." IEEE Transactions on Knowledge and Data Engineering 30, no. 10 (October 1, 2018): 1901–14. http://dx.doi.org/10.1109/tkde.2018.2810872.
Повний текст джерелаZhu, Pengfei, Qian Xu, Qinghua Hu, Changqing Zhang, and Hong Zhao. "Multi-label feature selection with missing labels." Pattern Recognition 74 (February 2018): 488–502. http://dx.doi.org/10.1016/j.patcog.2017.09.036.
Повний текст джерелаLin, Yaojin, Qinghua Hu, Jia Zhang, and Xindong Wu. "Multi-label feature selection with streaming labels." Information Sciences 372 (December 2016): 256–75. http://dx.doi.org/10.1016/j.ins.2016.08.039.
Повний текст джерелаXu, Miao, Yu-Feng Li, and Zhi-Hua Zhou. "Multi-Label Learning with PRO Loss." Proceedings of the AAAI Conference on Artificial Intelligence 27, no. 1 (June 30, 2013): 998–1004. http://dx.doi.org/10.1609/aaai.v27i1.8689.
Повний текст джерелаZHANG, Yongwei. "Learning Label Correlations for Multi-Label Online Passive Aggressive Classification Algorithm." Wuhan University Journal of Natural Sciences 29, no. 1 (February 2024): 51–58. http://dx.doi.org/10.1051/wujns/2024291051.
Повний текст джерелаWang, Xiujuan, and Yuchen Zhou. "Multi-Label Feature Selection with Conditional Mutual Information." Computational Intelligence and Neuroscience 2022 (October 8, 2022): 1–13. http://dx.doi.org/10.1155/2022/9243893.
Повний текст джерелаPu, Tao, Tianshui Chen, Hefeng Wu, and Liang Lin. "Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 2 (June 28, 2022): 2091–98. http://dx.doi.org/10.1609/aaai.v36i2.20105.
Повний текст джерелаKolber, Anna, and Oliver Meixner. "Effects of Multi-Level Eco-Labels on the Product Evaluation of Meat and Meat Alternatives—A Discrete Choice Experiment." Foods 12, no. 15 (August 3, 2023): 2941. http://dx.doi.org/10.3390/foods12152941.
Повний текст джерелаSong, Hwanjun, Minseok Kim, and Jae-Gil Lee. "Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy against Imbalance and Noise." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 19 (March 24, 2024): 21592–601. http://dx.doi.org/10.1609/aaai.v38i19.30157.
Повний текст джерелаWang, Zhen, Yiqun Duan, Liu Liu, and Dacheng Tao. "Multi-label Few-shot Learning with Semantic Inference (Student Abstract)." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 18 (May 18, 2021): 15917–18. http://dx.doi.org/10.1609/aaai.v35i18.17955.
Повний текст джерелаCui, Zijun, Yong Zhang, and Qiang Ji. "Label Error Correction and Generation through Label Relationships." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 3693–700. http://dx.doi.org/10.1609/aaai.v34i04.5778.
Повний текст джерелаRottoli, Giovanni Daian, and Carlos Casanova. "Multi-criteria and Multi-expert Requirement Prioritization using Fuzzy Linguistic Labels." ParadigmPlus 3, no. 1 (February 8, 2022): 1–18. http://dx.doi.org/10.55969/paradigmplus.v3n1a1.
Повний текст джерелаSiringoringo, Rimbun, Jamaluddin Jamaluddin, and Resianta Perangin-angin. "TEXT MINING DAN KLASIFIKASI MULTI LABEL MENGGUNAKAN XGBOOST." METHOMIKA Jurnal Manajemen Informatika dan Komputerisasi Akuntansi 6, no. 6 (October 31, 2022): 234–38. http://dx.doi.org/10.46880/jmika.vol6no2.pp234-238.
Повний текст джерелаXiao, Lin, Xiangliang Zhang, Liping Jing, Chi Huang, and Mingyang Song. "Does Head Label Help for Long-Tailed Multi-Label Text Classification." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 16 (May 18, 2021): 14103–11. http://dx.doi.org/10.1609/aaai.v35i16.17660.
Повний текст джерелаJiang, Ting, Deqing Wang, Leilei Sun, Huayi Yang, Zhengyang Zhao, and Fuzhen Zhuang. "LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 9 (May 18, 2021): 7987–94. http://dx.doi.org/10.1609/aaai.v35i9.16974.
Повний текст джерелаMu, Dejun, Junhong Duan, Xiaoyu Li, Hang Dai, Xiaoyan Cai, and Lantian Guo. "Expede Herculem: Learning Multi Labels From Single Label." IEEE Access 6 (2018): 61410–18. http://dx.doi.org/10.1109/access.2018.2876014.
Повний текст джерелаMa, Jianghong, Zhaoyang Tian, Haijun Zhang, and Tommy W. S. Chow. "Multi-Label Low-dimensional Embedding with Missing Labels." Knowledge-Based Systems 137 (December 2017): 65–82. http://dx.doi.org/10.1016/j.knosys.2017.09.005.
Повний текст джерелаFrasca, Marco, Simone Bassis, and Giorgio Valentini. "Learning node labels with multi-category Hopfield networks." Neural Computing and Applications 27, no. 6 (June 23, 2015): 1677–92. http://dx.doi.org/10.1007/s00521-015-1965-1.
Повний текст джерелаYu, Tianyu, Cuiwei Liu, Zhuo Yan, and Xiangbin Shi. "A Multi-Task Framework for Action Prediction." Information 11, no. 3 (March 16, 2020): 158. http://dx.doi.org/10.3390/info11030158.
Повний текст джерелаXu, Pengyu, Lin Xiao, Bing Liu, Sijin Lu, Liping Jing, and Jian Yu. "Label-Specific Feature Augmentation for Long-Tailed Multi-Label Text Classification." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 9 (June 26, 2023): 10602–10. http://dx.doi.org/10.1609/aaai.v37i9.26259.
Повний текст джерелаLiu, Tianci, Haoyu Wang, Yaqing Wang, Xiaoqian Wang, Lu Su, and Jing Gao. "SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 12 (June 26, 2023): 14338–46. http://dx.doi.org/10.1609/aaai.v37i12.26677.
Повний текст джерелаZhang, Yi, Zhecheng Zhang, Mingyuan Chen, Hengyang Lu, Lei Zhang, and Chongjun Wang. "LAMB: A novel algorithm of label collaboration based multi-label learning." Intelligent Data Analysis 26, no. 5 (September 5, 2022): 1229–45. http://dx.doi.org/10.3233/ida-215946.
Повний текст джерелаKhandagale, Sujay, Han Xiao, and Rohit Babbar. "Bonsai: diverse and shallow trees for extreme multi-label classification." Machine Learning 109, no. 11 (August 23, 2020): 2099–119. http://dx.doi.org/10.1007/s10994-020-05888-2.
Повний текст джерелаWang, Yejiang, Yuhai Zhao, Zhengkui Wang, Wen Shan, and Xingwei Wang. "Limited-Supervised Multi-Label Learning with Dependency Noise." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 14 (March 24, 2024): 15662–70. http://dx.doi.org/10.1609/aaai.v38i14.29494.
Повний текст джерелаPaul, Dipanjyoti, Rahul Kumar, Sriparna Saha, and Jimson Mathew. "Multi-objective Cuckoo Search-based Streaming Feature Selection for Multi-label Dataset." ACM Transactions on Knowledge Discovery from Data 15, no. 6 (May 19, 2021): 1–24. http://dx.doi.org/10.1145/3447586.
Повний текст джерелаXu, Ning, Yun-Peng Liu, and Xin Geng. "Partial Multi-Label Learning with Label Distribution." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 6510–17. http://dx.doi.org/10.1609/aaai.v34i04.6124.
Повний текст джерелаLi, Xinran, Wuyin Jin, Xiangyang Xu, and Hao Yang. "A Domain-Adversarial Multi-Graph Convolutional Network for Unsupervised Domain Adaptation Rolling Bearing Fault Diagnosis." Symmetry 14, no. 12 (December 15, 2022): 2654. http://dx.doi.org/10.3390/sym14122654.
Повний текст джерелаShao, Zhenfeng, Ke Yang, and Weixun Zhou. "Performance Evaluation of Single-Label and Multi-Label Remote Sensing Image Retrieval Using a Dense Labeling Dataset." Remote Sensing 10, no. 6 (June 16, 2018): 964. http://dx.doi.org/10.3390/rs10060964.
Повний текст джерелаLi, Yu-Feng, Ju-Hua Hu, Yuang Jiang, and Zhi-Hua Zhou. "Towards Discovering What Patterns Trigger What Labels." Proceedings of the AAAI Conference on Artificial Intelligence 26, no. 1 (September 20, 2021): 1012–18. http://dx.doi.org/10.1609/aaai.v26i1.8285.
Повний текст джерелаAlmi, Stefano, Marco Morandotti, and Francesco Solombrino. "A multi-step Lagrangian scheme for spatially inhomogeneous evolutionary games." Journal of Evolution Equations 21, no. 2 (April 24, 2021): 2691–733. http://dx.doi.org/10.1007/s00028-021-00702-5.
Повний текст джерелаGao, Zijun, Jun Wang, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi, and Jinglin Zhang. "Long-Tail Cross Modal Hashing." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 6 (June 26, 2023): 7642–50. http://dx.doi.org/10.1609/aaai.v37i6.25927.
Повний текст джерелаFeng, Lei, Bo An, and Shuo He. "Collaboration Based Multi-Label Learning." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 3550–57. http://dx.doi.org/10.1609/aaai.v33i01.33013550.
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