Chee-Hung Henry Chu

According to our database, Chee-Hung Henry Chu authored at least 46 papers between 1985 and 2025.

Collaborative distances:

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

2025

KAN-MID: A Kolmogorov-Arnold Networks-Based Framework for Malicious URL and Intrusion Detection in IoT Systems.

Frederic Rizk, Rodrigue Rizk, Dominick Rizk, Patrick Rizk, Chee-Hung Henry Chu

IEEE Access, 2025

Information Flow in Deep Learning Classification Networks.

Debanjali Banerjee, Chee-Hung Henry Chu

Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025

2024

A Heterogeneous Ensemble Method for Handling Class Noise in Supervised Machine Learning.

Rashida Hasan, Chee-Hung Henry Chu

Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

A Unified Approach for Binary-Class and Multi-Class Data Augmented Generation.

Frederic Rizk, Rodrigue Rizk, Dominick Rizk, Patrick Rizk, Chee-Hung Henry Chu

Proceedings of the IEEE Conference on Artificial Intelligence, 2024

2023

MAGAN: A Meta-Analysis for Generative Adversarial Networks' Latent Space.

Frederic Rizk, Rodrigue Rizk, Dominick Rizk, Chee-Hung Henry Chu

Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023

2022

Adversarial defense by restricting in-variance and co-variance of representations.

Jeevithan Alagurajah, Chee-Hung Henry Chu

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

Noise in Datasets: What Are the Impacts on Classification Performance?

Rashida Hasan, Chee-Hung Henry Chu

Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022

DRN: Detection and Removal of Noisy Instances with Self Organizing Map.

Rashida Hasan, Chee-Hung Henry Chu

Proceedings of the Pattern Recognition and Artificial Intelligence, 2022

2021

An integrated deep learning and dynamic programming method for predicting tumor suppressor genes, oncogenes, and fusion from PDB structures.

Nishanth Anandanadarajah, Chee-Hung Henry Chu, Rasiah Loganantharaj

Comput. Biol. Medicine, 2021

2018

Predicting Hospital Safety Measures using Patient Experience of Care Responses.

Michael A. Pratt, Chee-Hung Henry Chu

Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

2016

Comparing Color Descriptors between Image Segments for Saliency Detection.

Anurag Singh, Chee-Hung Henry Chu, Michael A. Pratt

Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016

2015

Saliency Detection using Geometric Context Contrast Inferred from Natural Images.

Anurag Singh, Chee-Hung Henry Chu, Michael A. Pratt

Proceedings of the VISAPP 2015, 2015

Visually salient features for highway scene analysis.

Anurag Singh, Chee-Hung Henry Chu, Michael A. Pratt

Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015

Learning to Predict Video Saliency using Temporal Superpixels.

Anurag Singh, Chee-Hung Henry Chu, Michael A. Pratt

Proceedings of the ICPRAM 2015, 2015

2014

Multiresolution superpixels for visual saliency detection.

Anurag Singh, Chee-Hung Henry Chu, Michael A. Pratt

Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Multimedia, 2014

2011

Robust Iris Segmentation Based on Local Image Gradient Properties.

Somying Thainimit, Chirayuth Sreecholpech, Vutipong Areekul, Chee-Hung Henry Chu

IEICE Trans. Inf. Syst., 2011

2010

One-Dimensional Mapping for Estimating Projective Transformations.

Yun Zhang, Chee-Hung Henry Chu

IEEE Trans. Image Process., 2010

2008

Texture-based image steganalysis by artificial neural networks.

Michael A. Pratt, Sharath Konda, Chee-Hung Henry Chu

Int. J. Intell. Comput. Cybern., 2008

A New Image Segmentation Technique Using Maximum Spanning Tree.

Qiang He, Chee-Hung Henry Chu

Proceedings of the Combinatorial Image Analysis, 12th International Workshop, 2008

Texture-Based Shadow Removal from a Single Color Image.

Qiang He, Chee-Hung Henry Chu

Proceedings of the Advances in Visual Computing, 4th International Symposium, 2008

2007

Imputing incomplete time-series data based on varied-window similarity measure of data sequences.

Sirapat Chiewchanwattana, Chidchanok Lursinsap, Chee-Hung Henry Chu

Pattern Recognit. Lett., 2007

The <i>p</i>-recursive piecewise polynomial sigmoid generators and first-order algorithms for multilayer tanh-like neurons.

Khamron Sunat, Chidchanok Lursinsap, Chee-Hung Henry Chu

Neural Comput. Appl., 2007

Lane Detection and Tracking through Affine Rectification.

Qiang He, Chee-Hung Henry Chu

Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2007), 2007

Intrinsic Images by Fisher Linear Discriminant.

Qiang He, Chee-Hung Henry Chu

Proceedings of the Advances in Visual Computing, Third International Symposium, 2007

A Treemap-Based Result Interface for Search Engine Users.

Shixian Chu, Jinfeng Chen, Zonghuan Wu, Chee-Hung Henry Chu, Vijay V. Raghavan

Proceedings of the Human Interface and the Management of Information. Methods, 2007

2006

Planar Surface Detection in Image Pairs Using Homographic Constraints.

Qiang He, Chee-Hung Henry Chu

Proceedings of the Advances in Visual Computing, Second International Symposium, 2006

Recovering Intrinsic Images from Weighted Edge Maps.

Qiang He, Chee-Hung Henry Chu

Proceedings of the Second International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2006), 2006

Camera Pose Estimation by an Artificial Neural Network.

Ryan Gene Benton, Chee-Hung Henry Chu

Proceedings of the Neural Information Processing, 13th International Conference, 2006

2005

Interface for visualization of image database in adaptive image retrieval systems (AIRS).

Anca Doloc-Mihu, Vijay V. Raghavan, Surendra Karnatapu, Chee-Hung Henry Chu

Proceedings of the Visualization and Data Analysis 2005, 2005

2004

Extracting linguistic quantitative rules from supervised neural networks.

Wiphada Wettayaprasit, Chidchanok Lursinsap, Chee-Hung Henry Chu

Int. J. Knowl. Based Intell. Eng. Syst., 2004

2003

Co-Citation count vs correlation for influence network visualization.

Steven Noel, Chee-Hung Henry Chu, Vijay V. Raghavan

Inf. Vis., 2003

Document Clustering, Visualization, and Retrieval Link Mining.

Steven Noel, Vijay V. Raghavan, Chee-Hung Henry Chu

Proceedings of the Clustering and Information Retrieval, 2003

2002

Visualization of Document Co-Citation Counts.

Steven Noel, Chee-Hung Henry Chu, Vijay V. Raghavan

Proceedings of the International Conference on Information Visualisation, 2002

Illumination mipmaps for texture mapping in computational video.

Somying Thainimit, Chee-Hung Henry Chu

Proceedings of the Third International Workshop on Digital and Computational Video, 2002

Quasi-Morphism and Comprehensibility of Rules in Inductive Learning.

Wiphada Wettayaprasit, Chidchanok Lursinsap, Chee-Hung Henry Chu

Proceedings of the 1st IEEE International Conference on Cognitive Informatics (ICCI 2002), 2002

2001

Development of a Digital Video System for Remote Sensing of Coasts.

Scott Wilson, Chee-Hung Henry Chu

Proceedings of the 2001 International Symposium on Information Technology (ITCC 2001), 2001

Visualizing Association Mining Results through Hierarchical Clusters.

Steven Noel, Vijay V. Raghavan, Chee-Hung Henry Chu

Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

1999

Halftoning for Color-Indexed Displays.

Nancy Breaux, Chee-Hung Henry Chu

Proceedings of the 1999 International Conference on Image Processing, 1999

1997

A Concurrent Training Algorithm for Supervised Learning in Artificial Neural Networks.

C. R. Chow, Chee-Hung Henry Chu

J. Inf. Sci. Eng., 1997

1994

Book reviews.

Chee-Hung Henry Chu, Spyros G. Tzafestas

J. Intell. Robotic Syst., 1994

Genetic algorithm approach to the configuration of wavelet packet processing tree.

Chee-Hung Henry Chu

Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

1990

A spatial summation model for image processing by artificial neural networks.

Chee-Hung Henry Chu

Proceedings of the IJCNN 1990, 1990

1989

Impulsive noise suppression and background normalization of electrocardiogram signals using morphological operators.

Chee-Hung Henry Chu, Edward J. Delp

IEEE Trans. Biomed. Eng., 1989

A Model for an Intelligent Operating System for Executing Image Understanding Tasks on a Reconfigurable Parallel Architecture.

Chee-Hung Henry Chu, Edward J. Delp, Leah H. Jamieson, Howard Jay Siegel, Francis J. Weil, Andrew B. Whinston

J. Parallel Distributed Comput., 1989

A Genetic Algorithm Approach to the Configuration of Stack Filters.

Chee-Hung Henry Chu

Proceedings of the 3rd International Conference on Genetic Algorithms, 1989

1985

Detecting edge segments.

Edward J. Delp, Chee-Hung Henry Chu

IEEE Trans. Syst. Man Cybern., 1985