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Publication search results
found 78 matches
- 2021
- Francisco J. Gil-Gala, Carlos Mencía, María R. Sierra, Ramiro Varela:
Learning ensembles of priority rules for online scheduling by hybrid evolutionary algorithms. Integr. Comput. Aided Eng. 28(1): 65-80 (2021) - Renata Garcia Oliveira, Wouter Caarls:
A History-based Framework for Online Continuous Action Ensembles in Deep Reinforcement Learning. ICAART (2) 2021: 580-588 - Le Ma, Xiaoyue Wu, Zhiwei Li, Nan Gao, Jie Liu, Lingfang Sun:
High Precision Medicine Bottles Vision Online Inspection System and Classification Based on Multi-Features and Ensemble Learning via Independence Test. CoRR abs/2101.01362 (2021) - 2020
- Yuming Jin
, Xiaofei Ye
, Qiming Ye, Tao Wang
, Jun Cheng
, Xingchen Yan
:
Demand Forecasting of Online Car-Hailing With Stacking Ensemble Learning Approach and Large-Scale Datasets. IEEE Access 8: 199513-199522 (2020) - Nathan Martindale
, Muhammad Ismail
, Douglas A. Talbert:
Ensemble-Based Online Machine Learning Algorithms for Network Intrusion Detection Systems Using Streaming Data. Inf. 11(6): 315 (2020) - Mobin M. Idrees, Leandro L. Minku
, Frederic T. Stahl
, Atta Badii:
A heterogeneous online learning ensemble for non-stationary environments. Knowl. Based Syst. 188 (2020) - Luhang Liu
, Qiang Zhang, Dazhong Wei, Gang Li, Hao Wu, Zhipeng Wang
, Baozhu Guo, Jiyang Zhang:
Chaotic Ensemble of Online Recurrent Extreme Learning Machine for Temperature Prediction of Control Moment Gyroscopes. Sensors 20(17): 4786 (2020) - Qin Lu, Georgios Vasileios Karanikolas, Yanning Shen, Georgios B. Giannakis:
Ensemble Gaussian Processes with Spectral Features for Online Interactive Learning with Scalability. AISTATS 2020: 1910-1920 - Parsa Vafaie, Herna Viktor, Wojtek Michalowski:
Multi-class imbalanced semi-supervised learning from streams through online ensembles. ICDM (Workshops) 2020: 867-874 - Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin O. Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov:
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units. KDD 2020: 1614-1624 - Lin Zhang, Hongle Du:
Research on SDN intrusion detection based on online ensemble learning algorithm. NaNA 2020: 114-118 - Senyue Zhang, Tieli Sun, Yibo Li, Xuemei Sui:
Adaptive Voting Online Sequential Extreme Learning Machine based on Glowworm Swarm Optimization Selective Ensemble Algorithm. SMC 2020: 1473-1478 - Marc Bocquet, Alban Farchi, Quentin Malartic:
Online learning of both state and dynamics using ensemble Kalman filters. CoRR abs/2006.03859 (2020) - Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin O. Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov:
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units. CoRR abs/2008.04063 (2020) - 2019
- Yu Zhang
, Liangshan Shao
:
Distributed Online Ensemble Learning Based on Orthogonal Transformation. IEEE Access 7: 173463-173476 (2019) - S. Ancy
, D. Paulraj:
Online Learning Model for Handling Different Concept Drifts Using Diverse Ensemble Classifiers on Evolving Data Streams. Cybern. Syst. 50(7): 579-608 (2019) - Jiafeng Huang, Yun Xue, Xiaohui Hu, Huixia Jin, Xin Lu, Zhihuang Liu:
Sentiment analysis of Chinese online reviews using ensemble learning framework. Clust. Comput. 22(Supplement): 3043-3058 (2019) - Xiaohui Han
, Lianhai Wang, Shujiang Xu, Dawei Zhao, Guangqi Liu:
Recognizing roles of online illegal gambling participants: An ensemble learning approach. Comput. Secur. 87 (2019) - Wanke Yu
, Chunhui Zhao
:
Online Fault Diagnosis for Industrial Processes With Bayesian Network-Based Probabilistic Ensemble Learning Strategy. IEEE Trans Autom. Sci. Eng. 16(4): 1922-1932 (2019) - Jicheng Shan
, Hang Zhang
, Weike Liu, Qingbao Liu
:
Online Active Learning Ensemble Framework for Drifted Data Streams. IEEE Trans. Neural Networks Learn. Syst. 30(2): 486-498 (2019) - Ying-Feng Hsu, Zhenyu He, Yuya Tarutani, Morito Matsuoka:
Toward an Online Network Intrusion Detection System Based on Ensemble Learning. CLOUD 2019: 174-178 - Sangeeta Lal, Rishabh Jiaswal, Neetu Sardana, Ayushi Verma, Amanpreet Kaur, Rahul Mourya
:
ORFDetector: Ensemble Learning Based Online Recruitment Fraud Detection. IC3 2019: 1-5 - Xiaojin Zhang:
Automatic Ensemble Learning for Online Influence Maximization. CoRR abs/1911.10728 (2019) - 2018
- Hang Zhang
, Weike Liu, Jicheng Shan, Qingbao Liu
:
Online Active Learning Paired Ensemble for Concept Drift and Class Imbalance. IEEE Access 6: 73815-73828 (2018) - Bartosz Krawczyk
, Alberto Cano
:
Online ensemble learning with abstaining classifiers for drifting and noisy data streams. Appl. Soft Comput. 68: 677-692 (2018) - Yao Liu, Cuiqing Jiang, Huimin Zhao:
Using contextual features and multi-view ensemble learning in product defect identification from online discussion forums. Decis. Support Syst. 105: 1-12 (2018) - Zipei Fan, Xuan Song, Tianqi Xia, Renhe Jiang
, Ryosuke Shibasaki, Ritsu Sakuramachi:
Online Deep Ensemble Learning for Predicting Citywide Human Mobility. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(3): 105:1-105:21 (2018) - Jan N. van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren
:
The online performance estimation framework: heterogeneous ensemble learning for data streams. Mach. Learn. 107(1): 149-176 (2018) - Zhongsheng Hua, Hongtao Yu, Ye Hua
:
Adaptive Ensemble Fault Diagnosis Based on Online Learning of Personalized Decision Parameters. IEEE Trans. Ind. Electron. 65(11): 8882-8894 (2018) - Yanning Shen, Tianyi Chen, Georgios B. Giannakis:
Online Ensemble Multi-kernel Learning Adaptive to Non-stationary and Adversarial Environments. AISTATS 2018: 2037-2046
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