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	A novel interval-based hybrid framework for crude oil price forecasting and trading 期刊论文 ENERGY ECONOMICS, 2024, 卷号: 130 作者: Zheng, Li; Sun, Yuying; Wang, Shouyang Adobe PDF(2221Kb) \| 收藏 \| 浏览/下载：280/0 \| 提交时间：2024/02/02 Commerce Crude oil Forecasting Auto-regressive Crude oil price forecasting High frequency components Higher-frequency components Hybrid framework Interval prediction Interval-valued Performance Trading strategies Variational mode decomposition-autoregressive conditional interval-interval long short-term memory
	Beam-wise dose composition learning for head and neck cancer dose prediction in radiotherapy 期刊论文 MEDICAL IMAGE ANALYSIS, 2024, 卷号: 92 作者: Teng, Lin; Wang, Bin; Xu, Xuanang; Zhang, Jiadong; Mei, Lanzhuju Adobe PDF(2202Kb) \| 收藏 \| 浏览/下载：321/2 \| 提交时间：2023/12/22 Diseases Graphic methods Radiotherapy Beam path Beam-wise dose learning Clinical practices Dose distributions Dose prediction Dose-volume histograms Head and neck Head-and-neck cancer Learning methods Performance
	Grouped Multi-Task Learning with Hidden Tasks Enhancement 会议论文 FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS, Krakow, Poland, September 30, 2023 - October 4, 2023 作者: Jin, Jiachun; Wang, Jiankun; Sun, Lu; Zheng, Jie; Kudo, Mineichi Adobe PDF(599Kb) \| 收藏 \| 浏览/下载：502/203 \| 提交时间：2023/11/24 Clustering algorithms Learning systems Machine learning Generalization performance Learning methods Multitask learning Parameter learning Parameter spaces Prediction performance Prediction tasks Subspace clustering Unified framework Within clusters
	A Closer Look at Self-Supervised Lightweight Vision Transformers 会议论文 PROCEEDINGS OF MACHINE LEARNING RESEARCH, Honolulu, HI, United states, July 23, 2023 - July 29, 2023 作者: Wang, Shaoru; Gao, Jin; Li, Zeming; Zhang, Xiaoqin; Hu, Weiming Adobe PDF(3494Kb) \| 收藏 \| 浏览/下载：171/0 \| 提交时间：2024/01/19 Supervised learning Architecture designs Classification tasks Down-stream Images classification Large-scales Performance Pre-training Prediction tasks Training methods Transformer performance
	EXPLAINING TEMPORAL GRAPH MODELS THROUGH AN EXPLORER-NAVIGATOR FRAMEWORK 会议论文 11TH INTERNATIONAL CONFERENCE ON LEARNING REPRESENTATIONS, ICLR 2023, Kigali, Rwanda, May 1, 2023 - May 5, 2023 作者: Xia, Wenwen; Lai, Mincai; Shan, Caihua; Zhang, Yao; Dai, Xinnan 收藏 \| 浏览/下载：170/0 \| 提交时间：2024/08/09 Combinatorial optimization Graph neural networks Graph theory Combinatorial optimization problems Graph model Graph neural networks Learn+ Performance Search spaces Speed up Temporal graphs Temporal prediction Tree-search
	Federated Multi-trajectory GNNs Under Data Limitations for Baby Brain Connectivity Forecasting 会议论文 LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS), Vancouver, BC, Canada, October 8, 2023 - October 8, 2023 作者: Pistos, Michalis; Li, Gang; Lin, Weili; Shen, Dinggang; Rekik, Islem Adobe PDF(53355Kb) \| 收藏 \| 浏览/下载：255/0 \| 提交时间：2023/11/10 Data privacy Forecasting Graph neural networks Graphic methods Hospitals Large dataset Brain connectivity Connectomics Data limitations Federated learning Graph neural networks Longitudinal connectomic dataset Multi-modal Multimodal brain graph evolution prediction Performance Predictive models
	Multi-view cross-lingual structured prediction with minimum supervision 会议论文 ACL-IJCNLP 2021 - 59TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 11TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING, PROCEEDINGS OF THE CONFERENCE, Virtual, Online, August 1, 2021 - August 6, 2021 作者: Hu, Zechuan; Jiang, Yong; Bach, Nguyen; Wang, Tao; Huang, Zhongqiang Adobe PDF(1350Kb) \| 收藏 \| 浏览/下载：496/0 \| 提交时间：2021/12/03 Computational linguistics Learning systems Cross lingual Multi views Multiple source Performance Prediction problem Quality modeling Source language Source models Structured prediction Transfer learning
	Automated concatenation of embeddings for structured prediction 会议论文 ACL-IJCNLP 2021 - 59TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 11TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING, PROCEEDINGS OF THE CONFERENCE, Virtual, Online, August 1, 2021 - August 6, 2021 作者: Wang, Xinyu; Jiang, Yong; Bach, Nguyen; Wang, Tao; Huang, Zhongqiang Adobe PDF(559Kb) \| 收藏 \| 浏览/下载：447/0 \| 提交时间：2021/12/03 Computational linguistics Forecasting Reinforcement learning 'current Embeddings Neural architectures Prediction tasks Recent progress State of the art performance Structured prediction Task modelling Task based Word representations
	PIKE-R2P: Protein-protein interaction network-based knowledge embedding with graph neural network for single-cell RNA to protein prediction 期刊论文 BMC BIOINFORMATICS, 2021, 卷号: 22, 期号: SUPPL 6 作者: Dai, Xinnan; Xu, Fan; Wang, Shike; Mundra, Piyushkumar A.; Zheng, Jie Adobe PDF(3880Kb) \| 收藏 \| 浏览/下载：485/153 \| 提交时间：2021/06/18 Single-cell Protein prediction Graph neural network Knowledge embedding Cells Cytology Embeddings Forecasting Machine learning Proteins RNA Graph neural networks Machine learning methods Machine learning models Prediction performance Protein interaction Protein interaction networks Simultaneous measurement
	Simplified deep forest model based just-in-time defect prediction for android mobile apps 期刊论文 IEEE TRANSACTIONS ON RELIABILITY, 2021, 卷号: 70, 期号: 2, 页码: 848-859 作者: Kunsong Zhao; Zhou Xu; Tao Zhang; Yutian Tang; Meng Yan Adobe PDF(3900Kb) \| 收藏 \| 浏览/下载：296/0 \| 提交时间：2021/12/03 Classification (of information) Defects Forecasting Forestry Just in time production Quality assurance Cascade structures Classification models Comparative methods Data representations Defect prediction Explosive growth High dimensional feature space Performance indicators Mobile applications Predictive models Feature extraction Task analysis Open source software Vegetation Deep forest feature representation learning just-in-time (JIT) defect prediction mobile apps quality assurance

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