A new feature selection method based on importance measures for crude oil return forecasting.
Neurocomputing, 2024
Carbon futures price forecasting based on feature selection.
Eng. Appl. Artif. Intell., 2024
Enhanced transfer learning with data augmentation.
Eng. Appl. Artif. Intell., 2024
Robust optimization of microhub network and mixed service strategy for a multidepot location-routing problem.
Comput. Ind. Eng., 2024
CTRL: Collaborative Temporal Representation Learning for Wind Power Forecasting.
Proceedings of the 2024 8th International Conference on Electronic Information Technology and Computer Engineering, 2024
TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback.
Proceedings of the Web and Big Data - 8th International Joint Conference, 2024
Oriented transformer for infectious disease case prediction.
Appl. Intell., December, 2023
HFMD Cases Prediction Using Transfer One-Step-Ahead Learning.
Neural Process. Lett., June, 2023
Laplacian Lp norm least squares twin support vector machine.
Pattern Recognit., April, 2023
Parallel XPath query based on cost optimization.
J. Supercomput., 2022
Dual-grained directional representation for infectious disease case prediction.
Knowl. Based Syst., 2022
A multi-view multi-omics model for cancer drug response prediction.
Appl. Intell., 2022
A multi-view time series model for share turnover prediction.
Appl. Intell., 2022
COVID-19 cases prediction in multiple areas via shapelet learning.
Appl. Intell., 2022
Learning High-dimensional Associations for Nonalcoholic Fatty Liver Disease Diagnosis Prediction.
Proceedings of the IEEE Smartworld, 2022
An Oriented Attention Model for Infectious Disease Cases Prediction.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022
Prediction of HFMD Cases by Leveraging Time Series Decomposition and Local Fusion.
Wirel. Commun. Mob. Comput., 2021
Dual-grained representation for hand, foot, and mouth disease prediction within public health cyber-physical systems.
Softw. Pract. Exp., 2021
Stock Turnover Prediction Using Search Engine Data.
J. Circuits Syst. Comput., 2021
Short-Term Infectious Diarrhea Prediction Using Weather and Search Data in Xiamen, China.
Sci. Program., 2020
Adaptive Mixture Regression Network with Local Counting Map for Crowd Counting.
Proceedings of the Computer Vision - ECCV 2020, 2020
A location algorithm based on Stiefel manifold particle filtering.
Clust. Comput., 2019
TDDF: HFMD Outpatients Prediction Based on Time Series Decomposition and Heterogenous Data Fusion in Xiamen, China.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019
A Fine-Grained Analysis of Time Reversal MU-MISO Systems Over Correlated Multipath Channels With Imperfect CSI.
IEEE Access, 2018
User identification for enhancing IP-TV recommendation.
Knowl. Based Syst., 2016
Diarrhoea outpatient visits prediction based on time series decomposition and multi-local predictor fusion.
Knowl. Based Syst., 2015
Artificial neural networks for infectious diarrhea prediction using meteorological factors in Shanghai (China).
Appl. Soft Comput., 2015
Adaptive Temporal Model for IPTV Recommendation.
Proceedings of the Web-Age Information Management - 16th International Conference, 2015
An Empirical Study of Personal Factors and Social Effects on Rating Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015
User Identification within a Shared Account: Improving IP-TV Recommender Performance.
Proceedings of the Advances in Databases and Information Systems, 2014
Walk to here: a voice driven animation system.
Proceedings of the 2006 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, 2006