English | 繁體

Search in the results

UM

Browse/Search Results:  1-10 of 441 Help

Selected(0)Clear Items/Page:    Sort:
Translating with AI: Design and Implementation of a ChatGPT-Powered Platform to Enhance Translator Training Book chapter
出自: Artificial Intelligence and Translation,, London/New York:Routledge, 2024
Authors:  SUN YIFENG
Favorite |  | Submit date：2024/09/06
Decoupled Invariant Attention Network for Multivariate Time-series Forecasting Conference paper
HAIHUA XU, WEI FAN, KUN YI, PENGYANG WANG. Decoupled Invariant Attention Network for Multivariate Time-series Forecasting[C]:International Joint Conferences on Artificial Intelligence, 2024, 2487-2495.
Authors:  HAIHUA XU;  WEI FAN;  KUN YI;  PENGYANG WANG
Favorite | TC[Scopus]:0 | Submit date：2024/08/28
Data Mining  
Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows Conference paper
XUANMING HU, WEI FAN, HAIFENG CHEN, PENGYANG WANG, YANJIE FU. Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows[C]:International Joint Conferences on Artificial Intelligence, 2024, 2063-2071.
Authors:  XUANMING HU;  WEI FAN;  HAIFENG CHEN;  PENGYANG WANG;  YANJIE FU
Favorite | TC[Scopus]:0 | Submit date：2024/08/28
Data Mining  
Hierarchical Reinforcement Learning on Multi-Channel Hypergraph Neural Network for Course Recommendation Conference paper
LU JIANG, YANAN XIAO, XINXIN ZHAO, YUANBO XU, SHULI HU, PENGYANG WANG, MINGHAO YIN. Hierarchical Reinforcement Learning on Multi-Channel Hypergraph Neural Network for Course Recommendation[C]:International Joint Conferences on Artificial Intelligence, 2024, 2099-2107.
Authors:  LU JIANG;  YANAN XIAO;  XINXIN ZHAO;  YUANBO XU;  SHULI HU; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/08/28
Data Mining  
Hierarchical Reinforcement Learning for Point of Interest Recommendation Conference paper
YANAN XIAO, LU JIANG, KUNPENG LIU, YUANBO XU, PENGYANG WANG, MINGHAO YIN. Hierarchical Reinforcement Learning for Point of Interest Recommendation[C]:International Joint Conferences on Artificial Intelligence, 2024, 2460-2468.
Authors:  YANAN XIAO;  LU JIANG;  KUNPENG LIU;  YUANBO XU;  PENGYANG WANG; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/08/28
Data Mining  
CDSTraj: Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving Conference paper
Haicherng Liao, Xuelin Li, Yongkang Li, Hailin Kong, Chengyue Wang, Bonan Wang, Yanchen Guan, Kahou Tam, Zhenning Li. CDSTraj: Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving[C]:International Joint Conferences on Artificial Intelligence, 2024, 7331-7339.
Authors:  Haicherng Liao;  Xuelin Li;  Yongkang Li;  Hailin Kong;  Chengyue Wang; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/09/16
Robotics  Planning And Scheduling  
Novel UGA Homologous URL Recognition in Real-World Financial Cybercrimes: Self-supervised Deep Learning of URL Semantics Conference paper
Shao, Guolin, Xu, Zeshui, He, Xiaoxi, Rao, Hong, Huang, Wei, Duan, Wenying. Novel UGA Homologous URL Recognition in Real-World Financial Cybercrimes: Self-supervised Deep Learning of URL Semantics[C]:Springer Science and Business Media Deutschland GmbH, 2024, 300 - 312.
Authors:  Shao, Guolin;  Xu, Zeshui;  He, Xiaoxi;  Rao, Hong;  Huang, Wei; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/09/11
Financial Cybercrime  Homologous Url Recognition  Self-supervised Learning  Siamese Network  Url Representation Learning  
An Integrated Fusion Framework for Ensemble Learning Leveraging Gradient Boosting and Fuzzy Rule-Based Models Journal article
Li, Jinbo, Liu, Peng, Chen, Long, Pedrycz, Witold, Ding, Weiping. An Integrated Fusion Framework for Ensemble Learning Leveraging Gradient Boosting and Fuzzy Rule-Based Models[J]. IEEE Transactions on Artificial Intelligence, 2024.
Authors:  Li, Jinbo;  Liu, Peng;  Chen, Long;  Pedrycz, Witold;  Ding, Weiping
Favorite | TC[Scopus]:0 | Submit date：2024/08/05
Fuzzy Rules-based Model  Incremental Models  Interpretability  Ensemble Learning  
Almost proportional allocations of indivisible chores: Computation, approximation and efficiency Journal article
Aziz, Haris, Li, Bo, Moulin, Hervé, Wu, Xiaowei, Zhu, Xinran. Almost proportional allocations of indivisible chores: Computation, approximation and efficiency[J]. Artificial Intelligence, 2024, 331, 104118.
Authors:  Aziz, Haris;  Li, Bo;  Moulin, Hervé;  Wu, Xiaowei;  Zhu, Xinran
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:5.1/4.8 | Submit date：2024/05/16
Indivisible Chores  Ordinal Preferences  Pareto Optimal  Propx  
Copyright Law Governing Works Resulting from the Use of Generative AI and Emerging Jurisprudence in USA and China Conference paper
RAMASWAMY, M.P.. Copyright Law Governing Works Resulting from the Use of Generative AI and Emerging Jurisprudence in USA and China[C], Mohammedia:Zenodo, 2024, 1-10.
Authors:  RAMASWAMY, M.P.
Favorite |  | Submit date：2024/08/30