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Sibo Yang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
2020 – today
- 2025
- [j16]Shusheng Wang, Yuan Bao, Sibo Yang
:
HS-SMOTE: Oversampling method for multiple dynamic interpolations based on regular hexagon scoring mechanism. Expert Syst. Appl. 265: 125855 (2025) - 2024
- [j15]Yuqi Liu, Sibo Yang
, Yuan Bao
:
Deep Neural Network Optimization Based on Binary Method for Handling Multi-Class Problems. IEEE Access 12: 46881-46890 (2024) - [j14]Yuan Bao, Sibo Yang, Zhaoliang Meng, Chaobin Liu, Zhongxuan Luo:
A second-order convergent nonconforming polynomial stokes element on quadrilateral meshes. Comput. Appl. Math. 43(6): 327 (2024) - [j13]Wendong Yang
, Hao Zhang
, Sibo Yang
, Yan Hao
:
A Novel Intelligent Prediction Model for the Containerized Freight Index: A New Perspective of Adaptive Model Selection for Subseries. Syst. 12(8): 309 (2024) - [c9]Danni Wu, Zhuohao Wu, Hailing Li, Sibo Yang, Mohammad Shidujaman:
Research on Gesture Interaction Game Effects Based on the Representation and Feedback Theory. HCI (5) 2024: 187-202 - [c8]Zhuohao Wu, Ritong Tang, Ganyu Wang, Hailing Li, Sibo Yang, Mohammad Shidujaman:
The Research and Design of an AIGC Empowered Fashion Design Product. HCI (5) 2024: 413-429 - [i3]Sibo Yang, Lincong Luo, Wei Chuan Law, Youlong Wang, Lei Li, Wei Tech Ang:
Design and Evaluation of a Compact 3D End-effector Assistive Robot for Adaptive Arm Support. CoRR abs/2404.03149 (2024) - 2023
- [j12]Yuan Bao
, Sibo Yang
:
Two Novel SMOTE Methods for Solving Imbalanced Classification Problems. IEEE Access 11: 5816-5823 (2023) - [j11]Liyan Jia
, Zhiping Wang
, Pengfei Sun
, Zhaohui Xu, Sibo Yang:
TDMO: Dynamic multi-dimensional oversampling for exploring data distribution based on extreme gradient boosting learning. Inf. Sci. 649: 119621 (2023) - [j10]Wendong Yang, Jingyi Wang, Sibo Yang, Kai Zhang:
An innovative model for electrical load forecasting: A case study in Australia. J. Intell. Fuzzy Syst. 45(1): 891-909 (2023) - [j9]Sibo Yang
, Neha P. Garg
, Ruobin Gao
, Meng Yuan
, Bernardo Noronha, Wei Tech Ang, Dino Accoto
:
Learning-Based Motion-Intention Prediction for End-Point Control of Upper-Limb-Assistive Robots. Sensors 23(6): 2998 (2023) - [j8]Sibo Yang
, Shusheng Wang, Lanyin Sun, Zhongxuan Luo, Yuan Bao:
Output Layer Structure Optimization for Weighted Regularized Extreme Learning Machine Based on Binary Method. Symmetry 15(1): 244 (2023) - [j7]Sibo Yang, Wendong Yang
, Kai Zhang, Yan Hao:
A Novel System Based on Selection Strategy and Ensemble Mode for Non-Ferrous Metal Futures Market Management. Syst. 11(2): 55 (2023) - [c7]Sibo Yang
, Lincong Luo, Muyao Liu, Jiaye Chen, Wei Chuan Law, Meng Yuan, Lei Li, Wei Tech Ang:
Adaptive Gravity Compensation Framework Based on Human Upper Limb Model for Assistive Robotic Arm Extender. ICORR 2023: 1-6 - [c6]Ruobin Gao, Sibo Yang, Meng Yuan, Xuefei Song, Ponnuthurai Nagaratnam Suganthan, Wei Tech Ang:
Online ensemble deep random vector functional link for the assistive robots. IJCNN 2023: 1-8 - 2022
- [j6]Yuan Bao, Zhaobin Liu, Zhongxuan Luo, Sibo Yang:
Smooth Group L1/2 Regularization for Pruning Convolutional Neural Networks. Symmetry 14(1): 154 (2022) - [c5]Sibo Yang
, Ruobin Gao
, Lei Li, Wei Tech Ang:
Deep Randomized Feed-forward Networks Based Prediction of Human Joint Angles Using Wearable Inertial Measurement Unit: Performance Comparison. IJCNN 2022: 1-8 - 2021
- [j5]Kieran Little, Bobby K. Pappachan
, Sibo Yang
, Bernardo Noronha
, Domenico Campolo
, Dino Accoto
:
Elbow Motion Trajectory Prediction Using a Multi-Modal Wearable System: A Comparative Analysis of Machine Learning Techniques. Sensors 21(2): 498 (2021) - [c4]Sibo Yang, Zhenjia Wang, Liping Liu, Yang Liu, Hu Chen, Xichen Tang:
Detecting Anomalies in Natural Gas Production: A Boosting Tree Based Model. ATIS 2021: 83-95 - 2020
- [j4]Sibo Yang, Chao Zhang
, Yuan Bao, Jie Yang, Wei Wu:
Binary Output Layer of Extreme Learning Machine for Solving Multi-class Classification Problems. Neural Process. Lett. 52(1): 153-167 (2020)
2010 – 2019
- 2019
- [j3]Sibo Yang
, Chao Zhang
, Wei Wu:
Binary Output Layer of Feedforward Neural Networks for Solving Multi-Class Classification Problems. IEEE Access 7: 5085-5094 (2019) - [j2]Feng Li, Jie Yang
, Mingchen Yao, Sibo Yang, Wei Wu:
Extreme learning machine with local connections. Neurocomputing 368: 146-152 (2019) - 2018
- [i2]Feng Li, Sibo Yang, Huanhuan Huang, Wei Wu:
Extreme Learning Machine with Local Connections. CoRR abs/1801.06975 (2018) - [i1]Sibo Yang, Chao Zhang, Wei Wu:
Binary output layer of feedforward neural networks for solving multi-class classification problems. CoRR abs/1801.07599 (2018) - 2016
- [j1]Nan Feng
, Zhiqi Hao, Sibo Yang
, Harris Wu:
Supporting Business Privacy Protection in Wireless Sensor Networks. J. Sensors 2016: 7638149:1-7638149:11 (2016) - 2013
- [c3]Qilin Sun, Yan Liu, Zhengxue Li, Sibo Yang, Wei Wu, Jiuwu Jin:
The Binary Output Units of Neural Network. ISNN (1) 2013: 250-257 - [c2]Sibo Yang, T. O. Ting, Ka Lok Man, Sheng-Uei Guan:
Investigation of Neural Networks for Function Approximation. ITQM 2013: 586-594
2000 – 2009
- 2008
- [c1]Sibo Yang, Franck Gechter, Abderrafiaa Koukam
:
Application of Reactive Multi-agent System to Vehicle Collision Avoidance. ICTAI (1) 2008: 197-204

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last updated on 2025-01-26 23:41 CET by the dblp team
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