Lingkai Yang

According to our database, Lingkai Yang authored at least 13 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Detecting and rationalizing concept drift: A feature-level approach for understanding cause-effect relationships in dynamic environments.

Lingkai Yang, Jian Cheng, Yi Luo, Tianbai Zhou, Xiaoyu Zhang

Expert Syst. Appl., 2025

2024

Gamma-mixture Bayesian method for anomalous coalmine pressure analysis.

Lingkai Yang, Jian Cheng, Yi Luo, Xiaoyu Zhang, Tianbai Zhou, Linhao Nie

Memetic Comput., December, 2024

Detecting Process Duration Drift Using Gamma Mixture Models in a Left-Truncated and Right-Censored Environment.

Lingkai Yang, Sally I. McClean, Mark P. Donnelly, Kashaf Khan, Kevin Burke

ACM Trans. Knowl. Discov. Data, September, 2024

Using Semi-Markov Models for Generating, Validating, and Analyzing Artificial Smart Home Processes.

Sally I. McClean, Dongwei Wang, Lingkai Yang, Ian R. McChesney, Zeeshan Tariq, Shalini Prasad

Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2024), 2024

2023

Process task durations in a hospital billing process.

Lingkai Yang

Dataset, January, 2023

2022

A multi-components approach to monitoring process structure and customer behaviour concept drift.

Lingkai Yang, Sally I. McClean, Mark P. Donnelly, Kevin Burke, Kashaf Khan

Expert Syst. Appl., December, 2022

Detecting and Responding to Concept Drift in Business Processes.

Lingkai Yang, Sally I. McClean, Mark P. Donnelly, Kevin Burke, Kashaf Khan

Algorithms, 2022

2021

A novel oversampling technique based on the manifold distance for class imbalance learning.

Yinan Guo, Botao Jiao, Lingkai Yang, Jian Cheng, Shengxiang Yang, Fengzhen Tang

Int. J. Bio Inspired Comput., 2021

Process Duration Modelling and Concept Drift Detection for Business Process Mining.

Lingkai Yang, Sally I. McClean, Mark P. Donnelly, Kevin Burke, Kashaf Khan

Proceedings of the 2021 IEEE SmartWorld, 2021

2020

Analysing Business Process Anomalies Using Discrete-time Markov chains.

Lingkai Yang, Sally I. McClean, Mark P. Donnelly, Kashaf Khan, Kevin Burke

Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

2019

BackgroundNet: Small Dataset-Based Object Detection in Stationary Scenes.

Jian Cheng, Shaoying Chen, Kun Liu, Lingkai Yang, Dongwei Wang

Proceedings of the Advances in Swarm Intelligence - 10th International Conference, 2019

Manifold Distance-Based Over-Sampling Technique for Class Imbalance Learning.

Lingkai Yang, Yi-Nan Guo, Jian Cheng

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017

An Improved Weighted ELM with Krill Herd Algorithm for Imbalanced Learning.

Yi-Nan Guo, Pei Zhang, Jian Cheng, Yong Zhang, Lingkai Yang, Xiaoning Shen, Wei Fang

Proceedings of the Advances in Swarm Intelligence - 8th International Conference, 2017