Liyao Ma

According to our database, Liyao Ma authored at least 22 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Apple grading method based on neural network with ordered partitions and evidential ensemble learning.

Liyao Ma, Peng Wei, Xinhua Qu, Shuhui Bi, Yuan Zhou, Tao Shen

CAAI Trans. Intell. Technol., December, 2022

Belief Entropy Tree and Random Forest: Learning from Data with Continuous Attributes and Evidential Labels.

Kangkai Gao, Yong Wang, Liyao Ma

Entropy, 2022

Ordinal Classification Using Single-Model Evidential Extreme Learning Machine.

Liyao Ma, Peng Wei, Bin Sun

Proceedings of the Belief Functions: Theory and Applications, 2022

2021

A Robust Data-Driven Method for Multiseasonality and Heteroscedasticity in Time Series Preprocessing.

Bin Sun, Liyao Ma, Tao Shen, Renkang Geng, Yuan Zhou, Ye Tian

Wirel. Commun. Mob. Comput., 2021

Neural network assisted Kalman filter for INS/UWB integrated seamless quadrotor localization.

Shuhui Bi, Liyao Ma, Tao Shen, Yuan Xu, Fukun Li

PeerJ Comput. Sci., 2021

Partial classification in the belief function framework.

Liyao Ma, Thierry Denoeux

Knowl. Based Syst., 2021

Research on the Application of Augmented Reality Technology in the Transformation and Development of Cultural and Creative Industries.

Liying Feng, Giap Weng Ng, Liyao Ma, Maozheng Fu, Xiaoping Que

EAI Endorsed Trans. Creative Technol., 2021

A Classification Tree Method Based on Belief Entropy for Evidential Data.

Kangkai Gao, Liyao Ma, Yong Wang

Proceedings of the Belief Functions: Theory and Applications, 2021

2020

Prediction Analysis of Soluble Solids Content in Apples Based on Wavelet Packet Analysis and BP Neural Network.

Xingwei Yan, Shuhui Bi, Tao Shen, Liyao Ma

Proceedings of the Multimedia Technology and Enhanced Learning, 2020

2019

Making Set-Valued Predictions in Evidential Classification: A Comparison of Different Approaches.

Liyao Ma, Thierry Denoeux

Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2019

Social Media Competition for User Satisfaction: A Niche Analysis of Facebook, Instagram, YouTube, Pinterest, and Twitter.

Sang-Hee Kweon, Bo Young Kang, Liyao Ma, Wei Guo, Zaimin Tian, Se-Jin Kim, Heaji Kweon

Proceedings of the Advances in Artificial Intelligence, Software and Systems Engineering, 2019

2018

Operator-Based Control System Analysis and Design for Nonlinear System with Input and Output Constraints.

Shuhui Bi, Lei Wang, Shengjun Wen, Liyao Ma

J. Robotics Mechatronics, 2018

Anomaly-Aware Traffic Prediction Based on Automated Conditional Information Fusion.

Bin Sun, Wei Cheng, Liyao Ma, Prashant Goswami

Proceedings of the 21st International Conference on Information Fusion, 2018

Training Instance Random Sampling Based Evidential Classification Forest Algorithms.

Liyao Ma, Bin Sun, Chunyan Han

Proceedings of the 21st International Conference on Information Fusion, 2018

2017

A modified belief rule based model for uncertain nonlinear systems identification.

Xiaolu Ke, Liyao Ma, Yong Wang

J. Intell. Fuzzy Syst., 2017

Learning decision forest from evidential data: The random training set sampling approach.

Liyao Ma, Bin Sun, Chunyan Han

Proceedings of the 4th International Conference on Systems and Informatics, 2017

Bagging likelihood-based belief decision trees.

Liyao Ma, Bin Sun, Ziyi Li

Proceedings of the 20th International Conference on Information Fusion, 2017

2016

Online active learning of decision trees with evidential data.

Liyao Ma, Sébastien Destercke, Yong Wang

Pattern Recognit., 2016

2015

Evidential likelihood flatness as a way tomeasure data quality: the multinomial case.

Liyao Ma, Sébastien Destercke, Yong Wang

Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

2014

When and to what extent should two belief functions be discounted?

Xiaolu Ke, Liyao Ma, Yong Wang

Proceedings of the 17th International Conference on Information Fusion, 2014

Some Notes on Canonical Decomposition and Separability of a Belief Function.

Xiaolu Ke, Liyao Ma, Yong Wang

Proceedings of the Belief Functions: Theory and Applications, 2014

2013

A dissimilarity measure based on singular value and its application in incremental discounting.

Xiaolu Ke, Liyao Ma, Yong Wang

Proceedings of the 16th International Conference on Information Fusion, 2013