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Liyao Ma
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2020 – today
- 2024
- [c20]Xiong Zhao, Liyao Ma, Yiyang Wang, Shuhui Bi:
An OWA-Based Distance Measure for Ordered Frames of Discernment. BELIEF 2024: 234-243 - 2023
- [c19]Shuhui Bi, Lisha Chen, Xue Li, Xinhua Qu, Liyao Ma:
Gaussian Mass Function Based Multiple Model Fusion for Apple Classification. ICMTEL (4) 2023: 257-269 - [c18]Shuhui Bi, Liyao Ma, Yuan Xu, Xuehua Yan:
Teaching Exploration on Calculation Method Under the Background of Emerging Engineering Education. ICMTEL (4) 2023: 329-336 - 2022
- [j9]Liyao Ma, Peng Wei, Xinhua Qu, Shuhui Bi, Yuan Zhou, Tao Shen:
Apple grading method based on neural network with ordered partitions and evidential ensemble learning. CAAI Trans. Intell. Technol. 7(4): 561-569 (2022) - [j8]Kangkai Gao, Yong Wang, Liyao Ma:
Belief Entropy Tree and Random Forest: Learning from Data with Continuous Attributes and Evidential Labels. Entropy 24(5): 605 (2022) - [c17]Liyao Ma, Peng Wei, Bin Sun:
Ordinal Classification Using Single-Model Evidential Extreme Learning Machine. BELIEF 2022: 67-76 - 2021
- [j7]Liying Feng, Giap Weng Ng, Liyao Ma, Maozheng Fu, Xiaoping Que:
Research on the Application of Augmented Reality Technology in the Transformation and Development of Cultural and Creative Industries. EAI Endorsed Trans. Creative Technol. 8(29): e1 (2021) - [j6]Liyao Ma, Thierry Denoeux:
Partial classification in the belief function framework. Knowl. Based Syst. 214: 106742 (2021) - [j5]Shuhui Bi, Liyao Ma, Tao Shen, Yuan Xu, Fukun Li:
Neural network assisted Kalman filter for INS/UWB integrated seamless quadrotor localization. PeerJ Comput. Sci. 7: e630 (2021) - [j4]Bin Sun, Liyao Ma, Tao Shen, Renkang Geng, Yuan Zhou, Ye Tian:
A Robust Data-Driven Method for Multiseasonality and Heteroscedasticity in Time Series Preprocessing. Wirel. Commun. Mob. Comput. 2021: 6692390:1-6692390:11 (2021) - [c16]Kangkai Gao, Liyao Ma, Yong Wang:
A Classification Tree Method Based on Belief Entropy for Evidential Data. BELIEF 2021: 105-114 - [c15]Xue Li, Liyao Ma, Shuhui Bi, Tao Shen:
Apple Classification Based on Information Fusion of Internal and External Qualities. ICMTEL (1) 2021: 388-397 - [c14]Bin Sun, Liyao Ma, Renkang Geng, Yuan Xu:
Matrix Profile Evolution: An Initial Overview. ICMTEL (1) 2021: 492-501 - [c13]Fukun Li, Shuhui Bi, Meng Wang, Liyao Ma, Bo Zhang:
LS-SVM/Federated EKF Based on the Distributed INS/UWB Integrated 2D Localization. ICMTEL (1) 2021: 502-509 - [c12]Liying Feng, Giap Weng Ng, Liyao Ma, Maozheng Fu, Xiaoping Que:
Research on the Application of Augmented Reality Technology in the Transformation and Development of Cultural and Creative Industries. INTETAIN 2021: 295-308 - 2020
- [c11]Xingwei Yan, Shuhui Bi, Tao Shen, Liyao Ma:
Prediction Analysis of Soluble Solids Content in Apples Based on Wavelet Packet Analysis and BP Neural Network. ICMTEL (2) 2020: 345-354
2010 – 2019
- 2019
- [c10]Sang-Hee Kweon, Bo Young Kang, Liyao Ma, Wei Guo, Zaimin Tian, Se-Jin Kim, Heaji Kweon:
Social Media Competition for User Satisfaction: A Niche Analysis of Facebook, Instagram, YouTube, Pinterest, and Twitter. AHFE (14) 2019: 239-249 - [c9]Liyao Ma, Thierry Denoeux:
Making Set-Valued Predictions in Evidential Classification: A Comparison of Different Approaches. ISIPTA 2019: 276-285 - 2018
- [j3]Shuhui Bi, Lei Wang, Shengjun Wen, Liyao Ma:
Operator-Based Control System Analysis and Design for Nonlinear System with Input and Output Constraints. J. Robotics Mechatronics 30(6): 950-957 (2018) - [c8]Liyao Ma, Bin Sun, Chunyan Han:
Training Instance Random Sampling Based Evidential Classification Forest Algorithms. FUSION 2018: 883-888 - [c7]Bin Sun, Wei Cheng, Liyao Ma, Prashant Goswami:
Anomaly-Aware Traffic Prediction Based on Automated Conditional Information Fusion. FUSION 2018: 2283-2289 - 2017
- [j2]Xiaolu Ke, Liyao Ma, Yong Wang:
A modified belief rule based model for uncertain nonlinear systems identification. J. Intell. Fuzzy Syst. 32(6): 3879-3891 (2017) - [c6]Liyao Ma, Bin Sun, Ziyi Li:
Bagging likelihood-based belief decision trees. FUSION 2017: 1-6 - [c5]Liyao Ma, Bin Sun, Chunyan Han:
Learning decision forest from evidential data: The random training set sampling approach. ICSAI 2017: 1423-1428 - 2016
- [j1]Liyao Ma, Sébastien Destercke, Yong Wang:
Online active learning of decision trees with evidential data. Pattern Recognit. 52: 33-45 (2016) - 2015
- [c4]Liyao Ma, Sébastien Destercke, Yong Wang:
Evidential likelihood flatness as a way tomeasure data quality: the multinomial case. IFSA-EUSFLAT 2015 - 2014
- [c3]Xiaolu Ke, Liyao Ma, Yong Wang:
Some Notes on Canonical Decomposition and Separability of a Belief Function. Belief Functions 2014: 153-160 - [c2]Xiaolu Ke, Liyao Ma, Yong Wang:
When and to what extent should two belief functions be discounted? FUSION 2014: 1-7 - 2013
- [c1]Xiaolu Ke, Liyao Ma, Yong Wang:
A dissimilarity measure based on singular value and its application in incremental discounting. FUSION 2013: 1391-1397
Coauthor Index
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last updated on 2024-08-29 21:53 CEST by the dblp team
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