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ORCIDLingkai Yang
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2020 – today
- 2025
[j6]Lingkai Yang
, Jian Cheng, Yi Luo, Tianbai Zhou, Xiaoyu Zhang:
Detecting and rationalizing concept drift: A feature-level approach for understanding cause-effect relationships in dynamic environments. Expert Syst. Appl. 260: 125365 (2025)- 2024
- [j5]Lingkai Yang, Jian Cheng, Yi Luo, Xiaoyu Zhang, Tianbai Zhou, Linhao Nie:
Gamma-mixture Bayesian method for anomalous coalmine pressure analysis. Memetic Comput. 16(4): 549-561 (2024) - [j4]Lingkai Yang, Sally I. McClean, Mark P. Donnelly, Kashaf Khan, Kevin Burke:
Detecting Process Duration Drift Using Gamma Mixture Models in a Left-Truncated and Right-Censored Environment. ACM Trans. Knowl. Discov. Data 18(8): 195:1-195:24 (2024) - [c6]Sally I. McClean, Dongwei Wang, Lingkai Yang, Ian R. McChesney, Zeeshan Tariq, Shalini Prasad:
Using Semi-Markov Models for Generating, Validating, and Analyzing Artificial Smart Home Processes. UCAmI 2024: 300-312 - 2023
- [d1]Lingkai Yang:
Process task durations in a hospital billing process. IEEE DataPort, 2023
- 2022
- [j3]Lingkai Yang, Sally I. McClean, Mark P. Donnelly, Kevin Burke, Kashaf Khan:
Detecting and Responding to Concept Drift in Business Processes. Algorithms 15(5): 174 (2022) - [j2]Lingkai Yang, Sally I. McClean, Mark P. Donnelly, Kevin Burke, Kashaf Khan:
A multi-components approach to monitoring process structure and customer behaviour concept drift. Expert Syst. Appl. 210: 118533 (2022) - 2021
- [j1]Yinan Guo, Botao Jiao, Lingkai Yang, Jian Cheng, Shengxiang Yang, Fengzhen Tang:
A novel oversampling technique based on the manifold distance for class imbalance learning. Int. J. Bio Inspired Comput. 18(3): 131-142 (2021) - [c5]Lingkai Yang, Sally I. McClean, Mark P. Donnelly, Kevin Burke, Kashaf Khan:
Process Duration Modelling and Concept Drift Detection for Business Process Mining. SmartWorld/SCALCOM/UIC/ATC/IOP/SCI 2021: 653-658 - 2020
- [c4]Lingkai Yang, Sally I. McClean, Mark P. Donnelly, Kashaf Khan, Kevin Burke:
Analysing Business Process Anomalies Using Discrete-time Markov chains. HPCC/DSS/SmartCity 2020: 1258-1265
2010 – 2019
- 2019
- [c3]Lingkai Yang, Yi-Nan Guo, Jian Cheng:
Manifold Distance-Based Over-Sampling Technique for Class Imbalance Learning. AAAI 2019: 10071-10072 - [c2]Jian Cheng, Shaoying Chen, Kun Liu, Lingkai Yang, Dongwei Wang:
BackgroundNet: Small Dataset-Based Object Detection in Stationary Scenes. ICSI (2) 2019: 272-281 - 2017
- [c1]Yi-Nan Guo, Pei Zhang, Jian Cheng, Yong Zhang, Lingkai Yang, Xiaoning Shen, Wei Fang:
An Improved Weighted ELM with Krill Herd Algorithm for Imbalanced Learning. ICSI (2) 2017: 371-378
Coauthor Index
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