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2020 – today
- 2024
[c17]Wyatt Harris, Sean Tseng, Tabatha Viso, Max Weissman, Chun-Kit Ngan:
Swarm Intelligence Path-Planning Pipeline and Algorithms for UAVs: Simulation, Analysis and Recommendation. ICEIS (1) 2024: 747-758- [c16]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, Fatemeh Emdad, Elke A. Rundensteiner, Heiton M. H. Ho, T. K. Wong, Jolly P. C. Chan:
META: Deep Learning Pipeline for Detecting Anomalies on Multimodal Vibration Sewage Treatment Plant Data. IJCCI 2024: 461-474 - [c15]Aviv A. Nur, Chun-Kit Ngan, Rolf Bardeli:
FSL-LFMG: Few-Shot Learning with Augmented Latent Features and Multitasking Generation for Enhancing Multiclass Classification on Tabular Data. IJCCI 2024: 531-542 - [i2]Federico Galbiati, Ranier X. Gran, Brendan D. Jacques, Sullivan J. Mulhern, Chun-Kit Ngan:
An Integrated Framework for Team Formation and Winner Prediction in the FIRST Robotics Competition: Model, Algorithm, and Analysis. CoRR abs/2402.00031 (2024) - 2023
- [c14]Federico Galbiati, Ranier X. Gran, Brendan D. Jacques, Sullivan J. Mulhern, Chun-Kit Ngan:
An Integrated Framework for Team Formation and Winner Prediction in the FIRST Robotics Competition: Model, Algorithm, and Analysis. HPCC/DSS/SmartCity/DependSys 2023: 868-876 - 2022
- [j7]Chun-Kit Ngan, Yok-Fong Paat, Rachel Green:
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. 15(4): 465-491 (2022) - [c13]Aishwarya Ramakrishnan, Chun-Kit Ngan:
A Hybrid Video-to-Text Summarization Framework and Algorithm on Cascading Advanced Extractive- and Abstractive-based Approaches for Supporting Viewers' Video Navigation and Understanding. AIKE 2022: 36-39 - [c12]Anneliese Markus
, Amos Roche, Chun-Kit Ngan, Yin Ting Cheung, Kristi Prifti:
A Prognostic Machine Learning Framework and Algorithm for Predicting Long-term Behavioural Outcomes in Cancer Survivors. HEALTHINF 2022: 671-679 - [c11]Sahil Sawant, Jinhong Yu, Kirtikumar Pandya, Chun-Kit Ngan, Rolf Bardeli:
An Enhanced BERTopic Framework and Algorithm for Improving Topic Coherence and Diversity. HPCC/DSS/SmartCity/DependSys 2022: 2251-2257 - [c10]Robert Brodin, Palawat Busaranuvong, Chun-Kit Ngan:
AutoCNN-MSCD: An Autodesigned CNN Framework for Detecting Multi-skin Cancer Diseases over Dermoscopic Images. VISIGRAPP (4: VISAPP) 2022: 607-615 - [i1]Chun-Kit Ngan, Alexander Brodsky:
Optimal Event Monitoring through Internet Mashup over Multivariate Time Series. CoRR abs/2210.09992 (2022) - 2021
- [c9]Lin Li, Koshin Ono, Chun-Kit Ngan:
A Deep Learning and Transfer Learning Approach for Vehicle Damage Detection. FLAIRS 2021 - [c8]Chun-Kit Ngan, Boyuan Yang:
An Ensemble-Based Weight-Learning Framework and Algorithm for Imputing Missing Values on High-Dimension Low-Sample Size Datasets. HPCC/DSS/SmartCity/DependSys 2021: 1139-1146 - [c7]Amorn Chokchaisiripakdee, Chun-Kit Ngan:
VisNLP: A Visual-based Educational Support Platform for Learning Statistical NLP Analytics. VISIGRAPP (3: IVAPP) 2021: 224-232
2010 – 2019
- 2019
- [c6]Lin Li, Chun-Kit Ngan:
A Weight-adjusting Approach on an Ensemble of Classifiers for Time Series Forecasting. ICISDM 2019: 65-69 - 2018
- [j6]Chun-Kit Ngan:
An automated data-driven tool to build artificial neural networks for predictive decision-making. Int. J. Appl. Decis. Sci. 11(3): 238-255 (2018) - 2017
- [j5]Lin Li, Chun-Kit Ngan:
A weight-adjusted-voting framework on an ensemble of classifiers for improving sensitivity. Intell. Data Anal. 21(6): 1339-1350 (2017) - 2016
- [j4]Chun-Kit Ngan, Lin Li:
A patient-centric decision guidance system for detecting glycemia of diabetes patients. Int. J. Appl. Decis. Sci. 9(4): 366-399 (2016) - 2015
- [j3]Chun-Kit Ngan, Lin Li:
H-EQPE Model and L-Checkpoint Algorithm: A Decision-Guidance Approach for Detecting Hypoglycemia of Diabetes Patients. Int. J. Decis. Support Syst. Technol. 7(4): 20-35 (2015) - 2013
- [b1]Chun-Kit Ngan:
A Framework and Algorithms for Multivariate Time Series Analytics (MTSA): Learning, Monitoring, and Recommendation. George Mason University, Fairfax, Virginia, USA, 2013 - [j2]Chun-Kit Ngan, Alexander Brodsky:
Optimal Event Monitoring through Internet Mashup over Multivariate Time Series. Int. J. Decis. Support Syst. Technol. 5(2): 46-69 (2013) - [j1]Chun-Kit Ngan, Alexander Brodsky, Jessica Lin:
Multi-event decision making over multivariate time series. Int. J. Inf. Decis. Sci. 5(3): 263-282 (2013) - [c5]Chun-Kit Ngan, Alexander Brodsky, Nathan E. Egge, Erik Backus:
Optimizing Power, Heating, and Cooling Capacity on a Decision-Guided Energy Investment Framework. ICEIS 2013: 154-173 - [c4]Chun-Kit Ngan, Alexander Brodsky, Nathan E. Egge, Erik Backus:
A Decision-Guided Energy Framework for Optimal Power, Heating, and Cooling Capacity Investment. ICEIS (1) 2013: 357-369 - 2012
- [c3]Chun-Kit Ngan, Alexander Brodsky, Jessica Lin:
R-Checkpoint Algorithm for Multi-Event Decision Making over Multivariate Time Series. DSS 2012: 209-220 - 2011
- [c2]Chun-Kit Ngan, Alexander Brodsky, Jessica Lin:
A Service Framework for Learning, Querying and Monitoring Multivariate Time Series. ICEIS (2) 2011: 92-101 - [c1]Chun-Kit Ngan, Alexander Brodsky, Jessica Lin:
An Event-Based Service Framework for Learning, Querying and Monitoring Multivariate Time Series. ICEIS 2011: 208-223
Coauthor Index
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