Chun-Kit Ngan

32 papers C 2Misc 1Journal 10Unranked 18
YearRankTypeTitle / Venue / Authors
2026 — conf
Using Machine Learning Approaches for Predicting Time of Death of Human Postmortem Samples Based on Transcriptomic Data.
BIOSTEC (2)
Olivia Liau, Tillie Slosser, Ivan Betancourt, Qiaochu Liu, Chun-Kit Ngan, Chen Fu, Ryan W. Logan, Nitya Phani Santosh Oruganty
2025 — conf
DermETAS-SNA LLM: A Dermatology Focused Evolutionary Transformer Architecture Search with StackNet Augmented LLM Assistant.
IJCCI (1)
Nitya Phani Santosh Oruganty, Keerthi Vemula Murali, Chun-Kit Ngan, Paulo Bandeira Pinho
2025 J jnl
DermETAS-SNA LLM: A Dermatology Focused Evolutionary Transformer Architecture Search with StackNet Augmented LLM Assistant.
CoRR
Nitya Phani Santosh Oruganty, Keerthi Vemula Murali, Chun-Kit Ngan, Paulo Bandeira Pinho
2025 — conf
Determining Optimal Pixel Resolution for Object Detection in Satellite Imagery: A Class-Specific Approach.
IJCCI (3)
Daniel C. Fox, John Prominski, Amit Virchandbhai Prajapati, Kendall Haddigan, Gabriel Barbosa, Shubham Dashrath Wagh, Adam Nolan, Daniel Zwillinger, Chun-Kit Ngan, Fatemeh Emdad, Elke A. Rundensteiner
2025 — conf
TE-CTABGAN+: A Unified GAN Framework for Generating Synthetic Electronic Health Records.
IJCCI (1)
Yash Malviya, Devesh Bhangale, Chun-Kit Ngan, Sambasiva Rao Gangeini, William Rorbach, Ashley-Kay Basile, Paulo Bandeira Pinho
2024 J jnl
An Integrated Framework for Team Formation and Winner Prediction in the FIRST Robotics Competition: Model, Algorithm, and Analysis.
CoRR
Federico Galbiati, Ranier X. Gran, Brendan D. Jacques, Sullivan J. Mulhern, Chun-Kit Ngan
2024 C conf
FSL-LFMG: Few-Shot Learning with Augmented Latent Features and Multitasking Generation for Enhancing Multiclass Classification on Tabular Data.
IJCCI
Aviv A. Nur, Chun-Kit Ngan, Rolf Bardeli
2024 C conf
META: Deep Learning Pipeline for Detecting Anomalies on Multimodal Vibration Sewage Treatment Plant Data.
IJCCI
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
2024 — conf
Swarm Intelligence Path-Planning Pipeline and Algorithms for UAVs: Simulation, Analysis and Recommendation.
ICEIS (1)
Wyatt Harris, Sean Tseng, Tabatha Viso, Max Weissman, Chun-Kit Ngan
2023 — conf
An Integrated Framework for Team Formation and Winner Prediction in the FIRST Robotics Competition: Model, Algorithm, and Analysis.
HPCC/DSS/SmartCity/DependSys
Federico Galbiati, Ranier X. Gran, Brendan D. Jacques, Sullivan J. Mulhern, Chun-Kit Ngan
2022 — conf
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
Aishwarya Ramakrishnan, Chun-Kit Ngan
2022 — conf
A Prognostic Machine Learning Framework and Algorithm for Predicting Long-term Behavioural Outcomes in Cancer Survivors.
HEALTHINF
Anneliese Markus, Amos Roche, Chun-Kit Ngan, Yin Ting Cheung, Kristi Prifti
2022 — conf
An Enhanced BERTopic Framework and Algorithm for Improving Topic Coherence and Diversity.
HPCC/DSS/SmartCity/DependSys
Sahil Sawant, Jinhong Yu, Kirtikumar Pandya, Chun-Kit Ngan, Rolf Bardeli
2022 — conf
AutoCNN-MSCD: An Autodesigned CNN Framework for Detecting Multi-skin Cancer Diseases over Dermoscopic Images.
VISIGRAPP (4: VISAPP)
Robert Brodin, Palawat Busaranuvong, Chun-Kit Ngan
2022 J jnl
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.
Chun-Kit Ngan, Yok-Fong Paat, Rachel Green
2022 J jnl
Optimal Event Monitoring through Internet Mashup over Multivariate Time Series.
CoRR
Chun-Kit Ngan, Alexander Brodsky
2021 Misc conf
A Deep Learning and Transfer Learning Approach for Vehicle Damage Detection.
FLAIRS
Lin Li, Koshin Ono, Chun-Kit Ngan
2021 — conf
An Ensemble-Based Weight-Learning Framework and Algorithm for Imputing Missing Values on High-Dimension Low-Sample Size Datasets.
HPCC/DSS/SmartCity/DependSys
Chun-Kit Ngan, Boyuan Yang
2021 — conf
VisNLP: A Visual-based Educational Support Platform for Learning Statistical NLP Analytics.
VISIGRAPP (3: IVAPP)
Amorn Chokchaisiripakdee, Chun-Kit Ngan
2019 — conf
A Weight-adjusting Approach on an Ensemble of Classifiers for Time Series Forecasting.
ICISDM
Lin Li, Chun-Kit Ngan
2018 J jnl
An automated data-driven tool to build artificial neural networks for predictive decision-making.
Int. J. Appl. Decis. Sci.
Chun-Kit Ngan
2017 J jnl
A weight-adjusted-voting framework on an ensemble of classifiers for improving sensitivity.
Intell. Data Anal.
Lin Li, Chun-Kit Ngan
2016 J jnl
A patient-centric decision guidance system for detecting glycemia of diabetes patients.
Int. J. Appl. Decis. Sci.
Chun-Kit Ngan, Lin Li
2015 J jnl
H-EQPE Model and L-Checkpoint Algorithm: A Decision-Guidance Approach for Detecting Hypoglycemia of Diabetes Patients.
Int. J. Decis. Support Syst. Technol.
Chun-Kit Ngan, Lin Li
2013 — conf
A Decision-Guided Energy Framework for Optimal Power, Heating, and Cooling Capacity Investment.
ICEIS (1)
Chun-Kit Ngan, Alexander Brodsky, Nathan E. Egge, Erik Backus
2013 — —
A Framework and Algorithms for Multivariate Time Series Analytics (MTSA): Learning, Monitoring, and Recommendation.
Chun-Kit Ngan
2013 J jnl
Multi-event decision making over multivariate time series.
Int. J. Inf. Decis. Sci.
Chun-Kit Ngan, Alexander Brodsky, Jessica Lin
2013 J jnl
Optimal Event Monitoring through Internet Mashup over Multivariate Time Series.
Int. J. Decis. Support Syst. Technol.
Chun-Kit Ngan, Alexander Brodsky
2013 — conf
Optimizing Power, Heating, and Cooling Capacity on a Decision-Guided Energy Investment Framework.
ICEIS
Chun-Kit Ngan, Alexander Brodsky, Nathan E. Egge, Erik Backus
2012 — conf
R-Checkpoint Algorithm for Multi-Event Decision Making over Multivariate Time Series.
DSS
Chun-Kit Ngan, Alexander Brodsky, Jessica Lin
2011 — conf
A Service Framework for Learning, Querying and Monitoring Multivariate Time Series.
ICEIS (2)
Chun-Kit Ngan, Alexander Brodsky, Jessica Lin
2011 — conf
An Event-Based Service Framework for Learning, Querying and Monitoring Multivariate Time Series.
ICEIS
Chun-Kit Ngan, Alexander Brodsky, Jessica Lin