受强制性开放获取政策约束的文章 - Ervine Zheng了解详情
可在其他位置公开访问的文章：9 篇
A continual learning framework for uncertainty-aware interactive image segmentation
E Zheng, Q Yu, R Li, P Shi, A Haake
Proceedings of the AAAI Conference on Artificial Intelligence 35 (7), 6030-6038, 2021
强制性开放获取政策： US National Science Foundation, US Department of Defense
A dynamic meta-learning model for time-sensitive cold-start recommendations
KP Neupane, E Zheng, Y Kong, Q Yu
Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7868-7876, 2022
强制性开放获取政策： US National Science Foundation, US Department of Defense
MetaEDL: Meta Evidential Learning For Uncertainty-Aware Cold-Start Recommendations
KP Neupane, E Zheng, Q Yu
2021 IEEE International Conference on Data Mining (ICDM), 1258-1263, 2021
强制性开放获取政策： US National Science Foundation, US Department of Defense
Deep temporal sets with evidential reinforced attentions for unique behavioral pattern discovery
D Wang, DS Pandey, KP Neupane, Z Yu, E Zheng, Z Zheng, Q Yu
International Conference on Machine Learning, 36205-36223, 2023
强制性开放获取政策： US National Science Foundation, US Department of Defense
Evidential interactive learning for medical image captioning
E Zheng, Q Yu
International Conference on Machine Learning, 42478-42491, 2023
强制性开放获取政策： US National Science Foundation, US Department of Defense
Knowledge Acquisition for Human-In-The-Loop Image Captioning
E Zheng, Q Yu, R Li, P Shi, A Haake
International Conference on Artificial Intelligence and Statistics, 2191-2206, 2023
强制性开放获取政策： US National Science Foundation, US Department of Defense
Dynamic fusion of eye movement data and verbal narrations in knowledge-rich domains
E Zheng, Q Yu, R Li, P Shi, A Haake
Advances in Neural Information Processing Systems 33, 2062-2073, 2020
强制性开放获取政策： US National Science Foundation, US Department of Defense
Sparse maximum margin learning from multimodal human behavioral patterns
E Zheng, Q Yu, Z Zheng
Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 5437-5445, 2023
强制性开放获取政策： US National Science Foundation, US Department of Defense
Dual-Level Adaptive Information Filtering for Interactive Image Segmentation
E Zheng, Q Yu, R Li, P Shi, A Haake
International Conference on Artificial Intelligence and Statistics, 6862-6879, 2022
强制性开放获取政策： US National Science Foundation, US Department of Defense
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