机构

• 自动化研究所 [74]
• 沈阳自动化研究所 [23]
• 西安光学精密机械研... [17]
• 计算技术研究所 [9]
• 地理科学与资源研究所 [4]
• 深圳先进技术研究院 [3]
• 更多

采集方式

• OAI收割 [146]

内容类型

• 期刊论文 [109]
• 会议论文 [17]
• 学位论文 [16]
• 专利 [2]
• SCI/SSCI论文 [1]
• 专著章节/文集论文 [1]
• 更多

发表日期

• 2024 [1]
• 2023 [4]
• 2022 [8]
• 2021 [14]
• 2020 [13]
• 2019 [8]
• 更多

学科主题

• engineerin... [3]
• Computer S... [2]
• computer s... [2]
• Computer S... [1]
• Engineerin... [1]
• computer s... [1]
• 更多

筛选

浏览/检索结果: 共146条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序题名升序题名降序作者升序作者降序发表日期升序发表日期降序 A Simple yet Effective Framework for Active Learning to Rank 期刊论文  OAI收割 Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 169-183 作者:  Qingzhong Wang, Haifang Li, Haoyi Xiong, Wen Wang, Jiang Bian, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Dejing Dou, Dawei Yin   |  收藏  |  浏览/下载：6/0  |  提交时间：2024/01/25 Search, information retrieval, learning to rank, active learning, query by committee   Projection of Future Climate Change and Its Influence on Surface Runoff of the Upper Yangtze River Basin, China 期刊论文  OAI收割 ATMOSPHERE, 2023, 卷号: 14, 期号: 10, 页码: 39 作者:  Wan, Hanli   |  收藏  |  浏览/下载：3/0  |  提交时间：2024/02/27 climate change  hydroclimatic variables  runoff  the upper Yangtze River basin  spatio-temporal variability   Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models 期刊论文  OAI收割 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 9, 页码: 4616-4629 作者:  Ma, Chengcheng;  Liu, Yang;  Deng, Jiankang;  Xie, Lingxi;  Dong, Weiming   |  收藏  |  浏览/下载：8/0  |  提交时间：2023/11/16 Vision-language model  prompt tuning  over-fitting  subspace learning  gradient projection   TENET: Beyond Pseudo-Labeling for Semi-supervised Few-shot Learning 期刊论文  OAI收割 Machine Intelligence Research, 2023, 页码: 0 作者:  Ma CC(马成丞);  Dong WM(董未名);  Xu CS(徐常胜)   |  收藏  |  浏览/下载：4/0  |  提交时间：2024/01/29 Semi-supervised few-shot learning  few-shot learning  pseudo-labeling  linear regression  low-rank reconstruction   Affine Subspace Robust Low-Rank Self-Representation: From Matrix to Tensor 期刊论文  OAI收割 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 8, 页码: 9357-9373 作者:  Tang, Yongqiang;  Xie, Yuan;  Zhang, Wensheng   |  收藏  |  浏览/下载：6/0  |  提交时间：2023/11/17 Affine subspace  low-rank representation  low-rank tensor  multi-view learning  subspace clustering   Critical features identification for chemical chronic toxicity based on mechanistic forecast models 期刊论文  OAI收割 ENVIRONMENTAL POLLUTION, 2022, 卷号: 307, 页码: 8 作者:  Wang, Xiaoqing;  Li, Fei;  Chen, Jingwen;  Teng, Yuefa;  Ji, Chenglong   |  收藏  |  浏览/下载：31/0  |  提交时间：2022/07/26 Computational toxicology  Machine learning  Structural alerts  Risk assessment  Prioritization rank   Deep learning for predicting immunotherapeutic efficacy in advanced non-small cell lung cancer patients: a retrospective study combining progression-free survival risk and overall survival risk 期刊论文  OAI收割 TRANSLATIONAL LUNG CANCER RESEARCH, 2022, 页码: 23 作者:  He, Bing-Xi;  Zhong, Yi-Fan;  Zhu, Yong-Bei;  Deng, Jia-Jun;  Fang, Meng-Jie   |  收藏  |  浏览/下载：20/0  |  提交时间：2022/06/10 Tumor biomarkers  immunotherapy  lung neoplasms  programmed cell death 1 receptor (PD-1 receptor)  biostatistics   Structure-aware siamese graph neural networks for encounter-level patient similarity learning 期刊论文  OAI收割 JOURNAL OF BIOMEDICAL INFORMATICS, 2022, 卷号: 127, 页码: 13 作者:  Gu, Yifan;  Yang, Xuebing;  Tian, Lei;  Yang, Hongyu;  Lv, Jicheng   |  收藏  |  浏览/下载：18/0  |  提交时间：2022/06/10 Encounter-Level Patient Similarity  Representation Learning  Siamese Networks  Graph Neural Networks   Evolving Metric Learning for Incremental and Decremental Features 期刊论文  OAI收割 IEEE Transactions on Circuits and Systems for Video Technology, 2022, 卷号: 32, 期号: 4, 页码: 2290-2302 作者:  Dong JH(董家华);  Cong Y(丛杨);  Sun G(孙干);  Zhang T(张涛);  Tang X(唐旭)   |  收藏  |  浏览/下载：39/0  |  提交时间：2021/08/28 Data models  Extraterrestrial measurements  Feature extraction  instance and feature evolutions  low-rank constraint  Measurement  Online metric learning  Optimization  Robot sensing systems  smoothed Wasserstein distance  Task analysis   Deep Neural Network Self-Distillation Exploiting Data Representation Invariance 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 1, 页码: 257-269 作者:  Xu, Ting-Bing;  Liu, Cheng-Lin   |  收藏  |  浏览/下载：18/0  |  提交时间：2022/02/16 Training  Nonlinear distortion  Data models  Neural networks  Knowledge engineering  Network architecture  Generalization error  network compression  representation invariance  self-distillation (SD)