A Service Framework for Learning, Querying and Monitoring Multivariate Time Series. - Chun-Kit Ngan; Alexander Brodsky 001; Jessica Lin 001 (ICEIS (2), 2011)

An Event-Based Service Framework for Learning, Querying and Monitoring Multivariate Time Series. - Chun-Kit Ngan; Alexander Brodsky 001; Jessica Lin 001 (ICEIS, 2011)

R-Checkpoint Algorithm for Multi-Event Decision Making over Multivariate Time Series. - Chun-Kit Ngan; Alexander Brodsky 001; Jessica Lin 001 (DSS, 2012)

A Decision-Guided Energy Framework for Optimal Power, Heating, and Cooling Capacity Investment. - Chun-Kit Ngan; Alexander Brodsky 001; Nathan E. Egge; Erik Backus (ICEIS (1), 2013)

Optimizing Power, Heating, and Cooling Capacity on a Decision-Guided Energy Investment Framework. - Chun-Kit Ngan; Alexander Brodsky 001; Nathan E. Egge; Erik Backus (ICEIS, 2013)

Optimal Event Monitoring through Internet Mashup over Multivariate Time Series. - Chun-Kit Ngan; Alexander Brodsky 001 (Int. J. Decis. Support Syst. Technol., 2013)

Multi-event decision making over multivariate time series. - Chun-Kit Ngan; Alexander Brodsky 001; Jessica Lin 001 (Int. J. Inf. Decis. Sci., 2013)

A Framework and Algorithms for Multivariate Time Series Analytics (MTSA): Learning, Monitoring, and Recommendation. - Chun-Kit Ngan (2013)

H-EQPE Model and L-Checkpoint Algorithm: A Decision-Guidance Approach for Detecting Hypoglycemia of Diabetes Patients. - Chun-Kit Ngan; Lin Li (Int. J. Decis. Support Syst. Technol., 2015)

A patient-centric decision guidance system for detecting glycemia of diabetes patients. - Chun-Kit Ngan; Lin Li (Int. J. Appl. Decis. Sci., 2016)

A weight-adjusted-voting framework on an ensemble of classifiers for improving sensitivity. - Lin Li; Chun-Kit Ngan (Intell. Data Anal., 2017)

An automated data-driven tool to build artificial neural networks for predictive decision-making. - Chun-Kit Ngan (Int. J. Appl. Decis. Sci., 2018)

A Weight-adjusting Approach on an Ensemble of Classifiers for Time Series Forecasting. - Lin Li; Chun-Kit Ngan (ICISDM, 2019)

A Deep Learning and Transfer Learning Approach for Vehicle Damage Detection. - Lin Li; Koshin Ono; Chun-Kit Ngan (FLAIRS, 2021)

An Ensemble-Based Weight-Learning Framework and Algorithm for Imputing Missing Values on High-Dimension Low-Sample Size Datasets. - Chun-Kit Ngan; Boyuan Yang (HPCC/DSS/SmartCity/DependSys, 2021)

VisNLP: A Visual-based Educational Support Platform for Learning Statistical NLP Analytics. - Amorn Chokchaisiripakdee; Chun-Kit Ngan (VISIGRAPP (3: IVAPP), 2021)

A Hybrid Video-to-Text Summarization Framework and Algorithm on Cascading Advanced Extractive- and Abstractive-based Approaches for Supporting Viewers' Video Navigation and Understanding. - Aishwarya Ramakrishnan; Chun-Kit Ngan (AIKE, 2022)

A Prognostic Machine Learning Framework and Algorithm for Predicting Long-term Behavioural Outcomes in Cancer Survivors. - Anneliese Markus; Amos Roche; Chun-Kit Ngan; Yin Ting Cheung; Kristi Prifti (HEALTHINF, 2022)

An Enhanced BERTopic Framework and Algorithm for Improving Topic Coherence and Diversity. - Sahil Sawant; Jinhong Yu; Kirtikumar Pandya; Chun-Kit Ngan; Rolf Bardeli (HPCC/DSS/SmartCity/DependSys, 2022)

AutoCNN-MSCD: An Autodesigned CNN Framework for Detecting Multi-skin Cancer Diseases over Dermoscopic Images. - Robert Brodin; Palawat Busaranuvong; Chun-Kit Ngan (VISIGRAPP (4: VISAPP), 2022)

HDSS: a healthcare decision support system on combining domain knowledge and data analytics for predicting potential risk of mental health. - Chun-Kit Ngan; Yok-Fong Paat; Rachel Green (Int. J. Appl. Decis. Sci., 2022)

An Integrated Framework for Team Formation and Winner Prediction in the FIRST Robotics Competition: Model, Algorithm, and Analysis. - Federico Galbiati; Ranier X. Gran; Brendan D. Jacques; Sullivan J. Mulhern; Chun-Kit Ngan (HPCC/DSS/SmartCity/DependSys, 2023)

Swarm Intelligence Path-Planning Pipeline and Algorithms for UAVs: Simulation, Analysis and Recommendation. - Wyatt Harris; Sean Tseng; Tabatha Viso; Max Weissman; Chun-Kit Ngan (ICEIS (1), 2024)

META: Deep Learning Pipeline for Detecting Anomalies on Multimodal Vibration Sewage Treatment Plant Data. - Simeon Krastev; Aukkawut Ammartayakun; Kewal Jayshankar Mishra; Harika Koduri; Eric Schuman; Drew Morris; Yuan Feng; Sai Supreeth Reddy Bandi; Chun-Kit Ngan; Andrew Yeung; Jason Li; Nigel Ko; et al. (IJCCI, 2024)

FSL-LFMG: Few-Shot Learning with Augmented Latent Features and Multitasking Generation for Enhancing Multiclass Classification on Tabular Data. - Aviv A. Nur; Chun-Kit Ngan; Rolf Bardeli (IJCCI, 2024)