Chun-Kit Ngan
Orcid: 0000-0003-2151-0459
According to our database1,
Chun-Kit Ngan authored at least 31 papers
between 2011 and 2026.
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Bibliography
2026
An Adaptive Multi-Agent System with Data-Driven Heuristic Orchestration for Solving 1D/2D Bin-Packing Problems.
Proceedings of the 28th International Conference on Enterprise Information Systems, 2026
Using Machine Learning Approaches for Predicting Time of Death of Human Postmortem Samples Based on Transcriptomic Data.
Proceedings of the 19th International Joint Conference on Biomedical Engineering Systems and Technologies, 2026
2025
DermETAS-SNA LLM: A Dermatology Focused Evolutionary Transformer Architecture Search with StackNet Augmented LLM Assistant.
Proceedings of the Computational Intelligence - 17th International Joint Conference, 2025
TE-CTABGAN+: A Unified GAN Framework for Generating Synthetic Electronic Health Records.
Proceedings of the Computational Intelligence - 17th International Joint Conference, 2025
Determining Optimal Pixel Resolution for Object Detection in Satellite Imagery: A Class-Specific Approach.
Proceedings of the Computational Intelligence - 17th International Joint Conference, 2025
2024
FSL-LFMG: Few-Shot Learning with Augmented Latent Features and Multitasking Generation for Enhancing Multiclass Classification on Tabular Data.
Proceedings of the 16th International Joint Conference on Computational Intelligence, 2024
META: Deep Learning Pipeline for Detecting Anomalies on Multimodal Vibration Sewage Treatment Plant Data.
Proceedings of the 16th International Joint Conference on Computational Intelligence, 2024
Synergistic Alpha-Led Force-Driven Gradient to Address Urgency and Reliability in Swarm Intelligence Path-Planning.
Proceedings of the Enterprise Information Systems - 26th International Conference, 2024
Swarm Intelligence Path-Planning Pipeline and Algorithms for UAVs: Simulation, Analysis and Recommendation.
Proceedings of the 26th International Conference on Enterprise Information Systems, 2024
2023
An Integrated Framework for Team Formation and Winner Prediction in the FIRST Robotics Competition: Model, Algorithm, and Analysis.
Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023
2022
HDSS: a healthcare decision support system on combining domain knowledge and data analytics for predicting potential risk of mental health.
Int. J. Appl. Decis. Sci., 2022
AutoCNN-MSCD: An Autodesigned CNN Framework for Detecting Multi-skin Cancer Diseases over Dermoscopic Images.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022
An Enhanced BERTopic Framework and Algorithm for Improving Topic Coherence and Diversity.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022
A Prognostic Machine Learning Framework and Algorithm for Predicting Long-term Behavioural Outcomes in Cancer Survivors.
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022
A Hybrid Video-to-Text Summarization Framework and Algorithm on Cascading Advanced Extractive- and Abstractive-based Approaches for Supporting Viewers' Video Navigation and Understanding.
Proceedings of the 5th IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2022
2021
VisNLP: A Visual-based Educational Support Platform for Learning Statistical NLP Analytics.
Proceedings of the 16th International Joint Conference on Computer Vision, 2021
An Ensemble-Based Weight-Learning Framework and Algorithm for Imputing Missing Values on High-Dimension Low-Sample Size Datasets.
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021
2019
A Weight-adjusting Approach on an Ensemble of Classifiers for Time Series Forecasting.
Proceedings of the 3rd International Conference on Information System and Data Mining, 2019
2018
An automated data-driven tool to build artificial neural networks for predictive decision-making.
Int. J. Appl. Decis. Sci., 2018
2017
A weight-adjusted-voting framework on an ensemble of classifiers for improving sensitivity.
Intell. Data Anal., 2017
2016
A patient-centric decision guidance system for detecting glycemia of diabetes patients.
Int. J. Appl. Decis. Sci., 2016
2015
H-EQPE Model and L-Checkpoint Algorithm: A Decision-Guidance Approach for Detecting Hypoglycemia of Diabetes Patients.
Int. J. Decis. Support Syst. Technol., 2015
2013
A Framework and Algorithms for Multivariate Time Series Analytics (MTSA): Learning, Monitoring, and Recommendation.
PhD thesis, 2013
Int. J. Inf. Decis. Sci., 2013
Int. J. Decis. Support Syst. Technol., 2013
Optimizing Power, Heating, and Cooling Capacity on a Decision-Guided Energy Investment Framework.
Proceedings of the Enterprise Information Systems - 15th International Conference, 2013
A Decision-Guided Energy Framework for Optimal Power, Heating, and Cooling Capacity Investment.
Proceedings of the ICEIS 2013, 2013
2012
R-Checkpoint Algorithm for Multi-Event Decision Making over Multivariate Time Series.
Proceedings of the Fusing Decision Support Systems into the Fabric of the Context, 2012
2011
An Event-Based Service Framework for Learning, Querying and Monitoring Multivariate Time Series.
Proceedings of the Enterprise Information Systems - 13th International Conference, 2011
A Service Framework for Learning, Querying and Monitoring Multivariate Time Series.
Proceedings of the ICEIS 2011, 2011