Lingkai Yang

16 papers A* 1Journal 10Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Smooth-Delayed Phase-Type Mixture Model for Human-Driven Process Duration Modeling.
Algorithms
Dongwei Wang, Sally I. McClean, Lingkai Yang, Ian R. McChesney, Zeeshan Tariq
2025 J jnl
Automating mixture model fitting of task durations for process conformance checking.
Data Min. Knowl. Discov.
Lingkai Yang, Sally I. McClean, Malcolm J. Faddy, Mark P. Donnelly, Kashaf Khan, Kevin Burke
2025 J jnl
Detecting and rationalizing concept drift: A feature-level approach for understanding cause-effect relationships in dynamic environments.
Expert Syst. Appl.
Lingkai Yang, Jian Cheng, Yi Luo, Tianbai Zhou, Xiaoyu Zhang
2025 J jnl
Modelling process durations with gamma mixtures for right-censored data: Applications in customer clustering, pattern recognition, drift detection, and rationalisation.
Data Knowl. Eng.
Lingkai Yang, Sally I. McClean, Kevin Burke, Mark P. Donnelly, Kashaf Khan
2025 J jnl
Multiscale Dynamic Weight-Based Mixed Convolutional Neural Network for Fault Diagnosis of Rotating Machinery.
IEEE Trans. Instrum. Meas.
Wenliao Du, Lingkai Yang, Xiaoyun Gong, Jie Liu, Hongchao Wang
2024 J jnl
Detecting Process Duration Drift Using Gamma Mixture Models in a Left-Truncated and Right-Censored Environment.
ACM Trans. Knowl. Discov. Data
Lingkai Yang, Sally I. McClean, Mark P. Donnelly, Kashaf Khan, Kevin Burke
2024 J jnl
Gamma-mixture Bayesian method for anomalous coalmine pressure analysis.
Memetic Comput.
Lingkai Yang, Jian Cheng, Yi Luo, Xiaoyu Zhang, Tianbai Zhou, Linhao Nie
2024 — conf
Using Semi-Markov Models for Generating, Validating, and Analyzing Artificial Smart Home Processes.
UCAmI
Sally I. McClean, Dongwei Wang, Lingkai Yang, Ian R. McChesney, Zeeshan Tariq, Shalini Prasad
2022 J jnl
A multi-components approach to monitoring process structure and customer behaviour concept drift.
Expert Syst. Appl.
Lingkai Yang, Sally I. McClean, Mark P. Donnelly, Kevin Burke, Kashaf Khan
2022 J jnl
Detecting and Responding to Concept Drift in Business Processes.
Algorithms
Lingkai Yang, Sally I. McClean, Mark P. Donnelly, Kevin Burke, Kashaf Khan
2021 J jnl
A novel oversampling technique based on the manifold distance for class imbalance learning.
Int. J. Bio Inspired Comput.
Yinan Guo, Botao Jiao, Lingkai Yang, Jian Cheng, Shengxiang Yang, Fengzhen Tang
2021 — conf
Process Duration Modelling and Concept Drift Detection for Business Process Mining.
SmartWorld/SCALCOM/UIC/ATC/IOP/SCI
Lingkai Yang, Sally I. McClean, Mark P. Donnelly, Kevin Burke, Kashaf Khan
2020 — conf
Analysing Business Process Anomalies Using Discrete-time Markov chains.
HPCC/DSS/SmartCity
Lingkai Yang, Sally I. McClean, Mark P. Donnelly, Kashaf Khan, Kevin Burke
2019 — conf
BackgroundNet: Small Dataset-Based Object Detection in Stationary Scenes.
ICSI (2)
Jian Cheng, Shaoying Chen, Kun Liu, Lingkai Yang, Dongwei Wang
2019 A* conf
Manifold Distance-Based Over-Sampling Technique for Class Imbalance Learning.
AAAI
Lingkai Yang, Yi-Nan Guo, Jian Cheng
2017 — conf
An Improved Weighted ELM with Krill Herd Algorithm for Imbalanced Learning.
ICSI (2)
Yi-Nan Guo, Pei Zhang, Jian Cheng, Yong Zhang, Lingkai Yang, Xiaoning Shen, Wei Fang