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Publication search results
found 224 matches
- 2024
- Ang Li, Meng Han, Dongliang Mu, Zhihui Gao, Shujuan Liu:
Online active learning method for multi-class imbalanced data stream. Knowl. Inf. Syst. 66(4): 2355-2391 (2024) - Haiqi Dong, Amanda S. Barnard, Amanda J. Parker:
Online meta-learned gradient norms for active learning in science and technology. Mach. Learn. Sci. Technol. 5(1): 15041 (2024) - Zixiao Wang, Zhenzhe Zheng, Yanrong Kang, Jiani Huang:
Cost-Effective Active Learning for Bid Exploration in Online Advertising. WSDM 2024: 788-796 - Hongtao Zhu, Sizhe Zhang, Yang Su, Zhenyu Zhao, Nan Chen:
Integrating Active Learning in Causal Inference with Interference: A Novel Approach in Online Experiments. CoRR abs/2402.12710 (2024) - 2023
- Kuangyan Zhang, Sanmin Liu, Yanfei Chen:
Online Active Learning Framework for Data Stream Classification With Density-Peaks Recognition. IEEE Access 11: 27853-27864 (2023) - Jonathan Álvarez Ariza:
Bringing active learning, experimentation, and student-created videos in engineering: A study about teaching electronics and physical computing integrating online and mobile learning. Comput. Appl. Eng. Educ. 31(6): 1723-1749 (2023) - Weike Liu, Cheng Zhu, Zhaoyun Ding, Hang Zhang, Qingbao Liu:
Multiclass imbalanced and concept drift network traffic classification framework based on online active learning. Eng. Appl. Artif. Intell. 117(Part): 105607 (2023) - Jing Yang, Wencang Zhao, Minghua Lu, Jincai Huang:
Deep Active Recognition through Online Cognitive Learning. Int. J. Pattern Recognit. Artif. Intell. 37(9): 2352013:1-2352013:23 (2023) - Giorgio Barnabò, Federico Siciliano, Carlos Castillo, Stefano Leonardi, Preslav Nakov, Giovanni Da San Martino, Fabrizio Silvestri:
Deep active learning for misinformation detection using geometric deep learning. Online Soc. Networks Media 33: 100244 (2023) - Yanfang Liu, Xiaocong Fan, Wenbin Li, Yang Gao:
Online Passive-Aggressive Active Learning for Trapezoidal Data Streams. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6725-6739 (2023) - Sanmin Liu, Shan Xue, Jia Wu, Chuan Zhou, Jian Yang, Zhao Li, Jie Cao:
Online Active Learning for Drifting Data Streams. IEEE Trans. Neural Networks Learn. Syst. 34(1): 186-200 (2023) - Zeyi Liu, Yi Zhang, Zhongjun Ding, Xiao He:
An Online Active Broad Learning Approach for Real-Time Safety Assessment of Dynamic Systems in Nonstationary Environments. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6714-6724 (2023) - Xiuxian Guan, Junming Wang, Zekai Sun, Zongyuan Zhang, Tianyang Duan, Shengliang Deng, Fangming Liu, Heming Cui:
New Problems in Active Sampling for Mobile Robotic Online Learning. COMPSAC 2023: 1155-1160 - Hyelin Nam, Jihong Park, Seong-Lyun Kim:
Active Wireless Split Learning via Online Cloud-Local Server Delta-Knowledge Distillation. ICC Workshops 2023: 825-830 - Vivek Myers, Erdem Biyik, Dorsa Sadigh:
Active Reward Learning from Online Preferences. ICRA 2023: 7511-7518 - Arman Rahbar, Ziyu Ye, Yuxin Chen, Morteza Haghir Chehreghani:
Efficient Online Decision Tree Learning with Active Feature Acquisition. IJCAI 2023: 4163-4171 - Yong Shi, Hossain Shahriar, Dan C. Lo, Kai Qian, Hongmei Chi:
Collaborative and Active Learning with Portable Online Hands-on Labware for Blockchain Development. SIGCSE (2) 2023: 1307 - Smith Boonchutima, Teerada Chongkolrattanaporn, Watsayut Kongchan:
Cognitive Load Theory in Online Education: Leveraging Interactive Media, Testing, Interaction and to Enhance Engagement and Active Learning. TENCON 2023: 2-9 - Davide Cacciarelli, Murat Kulahci, John Sølve Tyssedal:
Robust online active learning. CoRR abs/2302.00422 (2023) - Davide Cacciarelli, Murat Kulahci:
A survey on online active learning. CoRR abs/2302.08893 (2023) - Vivek Myers, Erdem Biyik, Dorsa Sadigh:
Active Reward Learning from Online Preferences. CoRR abs/2302.13507 (2023) - Arman Rahbar, Ziyu Ye, Yuxin Chen, Morteza Haghir Chehreghani:
Efficient Online Decision Tree Learning with Active Feature Acquisition. CoRR abs/2305.02093 (2023) - Mark Lindsey, Ankit Shah, Francis Kubala, Richard M. Stern:
Online Active Learning For Sound Event Detection. CoRR abs/2309.14460 (2023) - Md Shazid Islam, Sayak Nag, Arindam Dutta, Sk Miraj Ahmed, Fahim Faisal Niloy, Amit K. Roy-Chowdhury:
Active Learning Guided Federated Online Adaptation: Applications in Medical Image Segmentation. CoRR abs/2312.05407 (2023) - 2022
- Rabindra A. Ratan, Chimobi Ucha, Yiming Lei, Chaeyun Lim, Whisnu Triwibowo, Stephen Yelon, Anna Sheahan, Bailey Lamb, Baxter Deni, Vivian Hsueh Hua Chen:
How do social presence and active learning in synchronous and asynchronous online classes relate to students' perceived course gains? Comput. Educ. 191: 104621 (2022) - Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou:
Nonstationary data stream classification with online active learning and siamese neural networks✩. Neurocomputing 512: 235-252 (2022) - Paulo Vitor de Campos Souza, Edwin Lughofer:
Online active learning for an evolving fuzzy neural classifier based on data density and specificity. Neurocomputing 512: 269-286 (2022) - Victor C. X. Wang, Leslie Hitch, Geraldine Torrisi-Steele:
Active Learning Online: Necessity, Faculty Role, and a Concept Model for Course Design. Int. J. Online Pedagog. Course Des. 12(1): 1-13 (2022) - Ryo Sugawara, Shun Okuhara:
Group Work Using Active Learning: A Comparison of Students' Evaluations of Face-to-Face and Online Lessons. Int. J. Virtual Pers. Learn. Environ. 12(1): 1-15 (2022) - Laurie O. Campbell, Samantha Heller, Lindsay Pulse:
Student-created video: an active learning approach in online environments. Interact. Learn. Environ. 30(6): 1145-1154 (2022)
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