
OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Recognizing Medical Search Query Intent by Few-shot Learning
Yaqing Wang, Song Wang, Yanyan Li, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2022), pp. 502-512
Closed Access | Times Cited: 15
Yaqing Wang, Song Wang, Yanyan Li, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2022), pp. 502-512
Closed Access | Times Cited: 15
Showing 15 citing articles:
From Instance to Metric Calibration: A Unified Framework for Open-World Few-Shot Learning
Yuexuan An, Hui Xue, Xingyu Zhao, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 45, Iss. 8, pp. 9757-9773
Closed Access | Times Cited: 18
Yuexuan An, Hui Xue, Xingyu Zhao, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 45, Iss. 8, pp. 9757-9773
Closed Access | Times Cited: 18
Joint agricultural intent detection and slot filling based on enhanced heterogeneous attention mechanism
Hao Xia, Lu Wang, Hongmei Zhu, et al.
Computers and Electronics in Agriculture (2023) Vol. 207, pp. 107756-107756
Closed Access | Times Cited: 17
Hao Xia, Lu Wang, Hongmei Zhu, et al.
Computers and Electronics in Agriculture (2023) Vol. 207, pp. 107756-107756
Closed Access | Times Cited: 17
Meta-learning in Healthcare: A Survey
Alireza Rafiei, Ronald Moore, Sina Jahromi, et al.
SN Computer Science (2024) Vol. 5, Iss. 6
Closed Access | Times Cited: 7
Alireza Rafiei, Ronald Moore, Sina Jahromi, et al.
SN Computer Science (2024) Vol. 5, Iss. 6
Closed Access | Times Cited: 7
Reinforced Self-Supervised Training for Few-Shot Learning
Z. Yan, Yuexuan An, Hui Xue
IEEE Signal Processing Letters (2024) Vol. 31, pp. 731-735
Closed Access | Times Cited: 3
Z. Yan, Yuexuan An, Hui Xue
IEEE Signal Processing Letters (2024) Vol. 31, pp. 731-735
Closed Access | Times Cited: 3
An Intent Taxonomy of Legal Case Retrieval
Yunqiu Shao, Haitao Li, Yueyue Wu, et al.
ACM transactions on office information systems (2023) Vol. 42, Iss. 2, pp. 1-27
Open Access | Times Cited: 7
Yunqiu Shao, Haitao Li, Yueyue Wu, et al.
ACM transactions on office information systems (2023) Vol. 42, Iss. 2, pp. 1-27
Open Access | Times Cited: 7
Understanding user intent modeling for conversational recommender systems: a systematic literature review
Siamak Farshidi, Kiyan Rezaee, Sara Mazaheri, et al.
User Modeling and User-Adapted Interaction (2024)
Open Access | Times Cited: 2
Siamak Farshidi, Kiyan Rezaee, Sara Mazaheri, et al.
User Modeling and User-Adapted Interaction (2024)
Open Access | Times Cited: 2
APPN: An Attention-based Pseudo-label Propagation Network for few-shot learning with noisy labels
Jiaqi Chen, Shizhuo Deng, Da Teng, et al.
Neurocomputing (2024) Vol. 602, pp. 128212-128212
Closed Access | Times Cited: 2
Jiaqi Chen, Shizhuo Deng, Da Teng, et al.
Neurocomputing (2024) Vol. 602, pp. 128212-128212
Closed Access | Times Cited: 2
Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance
Song Wang, Zhen Tan, Ruocheng Guo, et al.
(2023), pp. 12528-12540
Open Access | Times Cited: 4
Song Wang, Zhen Tan, Ruocheng Guo, et al.
(2023), pp. 12528-12540
Open Access | Times Cited: 4
Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions
Yaqing Wang, Hongming Piao, Daxiang Dong, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 3233-3244
Open Access | Times Cited: 1
Yaqing Wang, Hongming Piao, Daxiang Dong, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 3233-3244
Open Access | Times Cited: 1
SCHash: Speedy Simplicial Complex Neural Networks via Randomized Hashing
Xuan Tan, Wei Wu, Chuan Luo
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2023), pp. 1609-1618
Closed Access | Times Cited: 2
Xuan Tan, Wei Wu, Chuan Luo
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2023), pp. 1609-1618
Closed Access | Times Cited: 2
Simplified Graph Learning for Inductive Short Text Classification
Kaixin Zheng, Yaqing Wang, Quanming Yao, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 10717-10724
Open Access | Times Cited: 4
Kaixin Zheng, Yaqing Wang, Quanming Yao, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 10717-10724
Open Access | Times Cited: 4
Understanding User Intent Modeling for Conversational Recommender Systems: A Systematic Literature Review
Siamak Farshidi, Kiyan Rezaee, Sara Mazaheri, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Siamak Farshidi, Kiyan Rezaee, Sara Mazaheri, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
On Potentials of Few-Shot Learning for AI-Enabled Internet of Medical Things
Dina Aboutahoun, Rami Zewail, Mostafa I. Soliman
2022 IEEE Globecom Workshops (GC Wkshps) (2022), pp. 1062-1067
Closed Access | Times Cited: 1
Dina Aboutahoun, Rami Zewail, Mostafa I. Soliman
2022 IEEE Globecom Workshops (GC Wkshps) (2022), pp. 1062-1067
Closed Access | Times Cited: 1
Meta-learning in healthcare: A survey
Alireza Rafiei, Ronald Moore, Sina Jahromi, et al.
arXiv (Cornell University) (2023)
Open Access
Alireza Rafiei, Ronald Moore, Sina Jahromi, et al.
arXiv (Cornell University) (2023)
Open Access
Chinese Medical Intent Recognition Based on Multi-feature Fusion
Xiliang Zhang, Tong Zhang, Rong Yan
Communications in computer and information science (2023), pp. 504-515
Closed Access
Xiliang Zhang, Tong Zhang, Rong Yan
Communications in computer and information science (2023), pp. 504-515
Closed Access