Artikler med mandater om offentlig tilgang - Wei Ding, Fellow of IEEELes mer
Ikke tilgjengelige noe sted: 8
Multi-source causal feature selection
K Yu, L Liu, J Li, W Ding, TD Le
IEEE transactions on pattern analysis and machine intelligence 42 (9), 2240-2256, 2019
Mandater: Australian Research Council, National Natural Science Foundation of China
Online learning from trapezoidal data streams
Q Zhang, P Zhang, G Long, W Ding, C Zhang, X Wu
IEEE Transactions on Knowledge and Data Engineering 28 (10), 2709-2723, 2016
Mandater: Australian Research Council, National Natural Science Foundation of China
Introducing time series snippets: a new primitive for summarizing long time series
S Imani, F Madrid, W Ding, SE Crouter, E Keogh
Data Mining and Knowledge Discovery 34, 1713-1743, 2020
Mandater: US National Science Foundation, US National Institutes of Health
Causal feature selection with missing data
K Yu, Y Yang, W Ding
ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (4), 1-24, 2022
Mandater: National Natural Science Foundation of China
Topic discovery from heterogeneous texts
J Qiang, P Chen, W Ding, T Wang, F Xie, X Wu
2016 IEEE 28th International Conference on Tools with Artificial …, 2016
Mandater: National Natural Science Foundation of China
New user intent discovery with robust pseudo label training and source domain joint training
W An, F Tian, P Chen, Q Zheng, W Ding
IEEE Intelligent Systems 38 (4), 21-31, 2023
Mandater: National Natural Science Foundation of China
Reducing mode collapse with Monge–Kantorovich optimal transport for generative adversarial networks
W Li, W Liu, J Chen, L Wu, PD Flynn, W Ding, P Chen
IEEE Transactions on Cybernetics 54 (8), 4539-4552, 2023
Mandater: National Natural Science Foundation of China
Maf: multimodal auto attention fusion for video classification
C Zheng, W Ding, S Shen, P Chen
International Conference on Industrial, Engineering and Other Applications …, 2023
Mandater: US National Science Foundation
Tilgjengelige et eller annet sted: 41
Data mining with big data
X Wu, X Zhu, GQ Wu, W Ding
IEEE transactions on knowledge and data engineering 26 (1), 97-107, 2013
Mandater: Australian Research Council
Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences
W He, YJ Wu, L Deng, G Li, H Wang, Y Tian, W Ding, W Wang, Y Xie
Neural Networks 132, 108-120, 2020
Mandater: National Natural Science Foundation of China
Scalable and accurate online feature selection for big data
K Yu, X Wu, W Ding, J Pei
ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (2), 1-39, 2016
Mandater: Natural Sciences and Engineering Research Council of Canada, National …
Towards scalable and accurate online feature selection for big data
K Yu, X Wu, W Ding, J Pei
2014 IEEE International Conference on Data Mining, 660-669, 2014
Mandater: National Natural Science Foundation of China
Authorship identification from unstructured texts
C Zhang, X Wu, Z Niu, W Ding
Knowledge-Based Systems 66, 99-111, 2014
Mandater: National Natural Science Foundation of China
Mining sequential patterns with periodic wildcard gaps
Y Wu, L Wang, J Ren, W Ding, X Wu
Applied intelligence 41, 99-116, 2014
Mandater: National Natural Science Foundation of China
Domain agnostic online semantic segmentation for multi-dimensional time series
S Gharghabi, CCM Yeh, Y Ding, W Ding, P Hibbing, S LaMunion, ...
Data mining and knowledge discovery 33, 96-130, 2019
Mandater: US National Science Foundation, US National Institutes of Health
Cancer subtype identification using somatic mutation data
ML Kuijjer, JN Paulson, P Salzman, W Ding, J Quackenbush
British journal of cancer 118 (11), 1492-1501, 2018
Mandater: US National Institutes of Health
Matrix profile XIII: Time series snippets: A new primitive for time series data mining
S Imani, F Madrid, W Ding, S Crouter, E Keogh
2018 IEEE international conference on big knowledge (ICBK), 382-389, 2018
Mandater: US National Science Foundation, US National Institutes of Health
Multi-document summarization using closed patterns
JP Qiang, P Chen, W Ding, F Xie, X Wu
Knowledge-Based Systems 99, 28-38, 2016
Mandater: National Natural Science Foundation of China
BAMB: A balanced Markov blanket discovery approach to feature selection
Z Ling, K Yu, H Wang, L Liu, W Ding, X Wu
ACM Transactions on Intelligent Systems and Technology (TIST) 10 (5), 1-25, 2019
Mandater: National Natural Science Foundation of China
Rapid building detection using machine learning
JP Cohen, W Ding, C Kuhlman, A Chen, L Di
Applied Intelligence 45, 443-457, 2016
Mandater: US National Science Foundation, US Department of Energy
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