Chee-Hung Henry Chu

48 papers A* 1B 1C 6Misc 6Journal 16Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	TransFair: Transferring fairness from ocular disease classification to progression prediction. Artif. Intell. Medicine Min Shi, Leila Gheisi, Chee-Hung Henry Chu, Raju Gottumukkala, Yan Luo, Mengyu Wang, Xingquan Zhu
2025	Misc	`conf`	Information Flow in Deep Learning Classification Networks. SAC Debanjali Banerjee, Chee-Hung Henry Chu
2025	J	`jnl`	KAN-MID: A Kolmogorov-Arnold Networks-Based Framework for Malicious URL and Intrusion Detection in IoT Systems. IEEE Access Frederic Rizk, Rodrigue Rizk, Dominick Rizk, Patrick Rizk, Chee-Hung Henry Chu
2024	Misc	`conf`	A Heterogeneous Ensemble Method for Handling Class Noise in Supervised Machine Learning. SAC Rashida Hasan, Chee-Hung Henry Chu
2024	—	`conf`	A Unified Approach for Binary-Class and Multi-Class Data Augmented Generation. CAI Frederic Rizk, Rodrigue Rizk, Dominick Rizk, Patrick Rizk, Chee-Hung Henry Chu
2023	C	`conf`	MAGAN: A Meta-Analysis for Generative Adversarial Networks' Latent Space. ICPRAM Frederic Rizk, Rodrigue Rizk, Dominick Rizk, Chee-Hung Henry Chu
2022	Misc	`conf`	Adversarial defense by restricting in-variance and co-variance of representations. SAC Jeevithan Alagurajah, Chee-Hung Henry Chu
2022	—	`conf`	DRN: Detection and Removal of Noisy Instances with Self Organizing Map. ICPRAI (2) Rashida Hasan, Chee-Hung Henry Chu
2022	C	`conf`	Noise in Datasets: What Are the Impacts on Classification Performance? ICPRAM Rashida Hasan, Chee-Hung Henry Chu
2021	J	`jnl`	An Integrated Deep Learning and Dynamic Programming Method for Predicting Tumor Suppressor Genes, Oncogenes, and Fusion from PDB Structures. CoRR Nishanth Anandanadarajah, Chee-Hung Henry Chu, Rasiah Loganantharaj
2021	J	`jnl`	An integrated deep learning and dynamic programming method for predicting tumor suppressor genes, oncogenes, and fusion from PDB structures. Comput. Biol. Medicine Nishanth Anandanadarajah, Chee-Hung Henry Chu, Rasiah Loganantharaj
2018	C	`conf`	Predicting Hospital Safety Measures using Patient Experience of Care Responses. ICPRAM Michael A. Pratt, Chee-Hung Henry Chu
2016	C	`conf`	Comparing Color Descriptors between Image Segments for Saliency Detection. ICPRAM Anurag Singh, Chee-Hung Henry Chu, Michael A. Pratt
2015	—	`conf`	Learning to Predict Video Saliency using Temporal Superpixels. ICPRAM (2) Anurag Singh, Chee-Hung Henry Chu, Michael A. Pratt
2015	—	`conf`	Saliency Detection using Geometric Context Contrast Inferred from Natural Images. VISAPP (1) Anurag Singh, Chee-Hung Henry Chu, Michael A. Pratt
2015	Misc	`conf`	Visually salient features for highway scene analysis. MVA Anurag Singh, Chee-Hung Henry Chu, Michael A. Pratt
2014	—	`conf`	Multiresolution superpixels for visual saliency detection. CIMSIVP Anurag Singh, Chee-Hung Henry Chu, Michael A. Pratt
2011	J	`jnl`	Robust Iris Segmentation Based on Local Image Gradient Properties. IEICE Trans. Inf. Syst. Somying Thainimit, Chirayuth Sreecholpech, Vutipong Areekul, Chee-Hung Henry Chu
2010	J	`jnl`	One-Dimensional Mapping for Estimating Projective Transformations. IEEE Trans. Image Process. Yun Zhang, Chee-Hung Henry Chu
2008	C	`conf`	A New Image Segmentation Technique Using Maximum Spanning Tree. IWCIA Qiang He, Chee-Hung Henry Chu
2008	—	`conf`	Texture-Based Shadow Removal from a Single Color Image. ISVC (2) Qiang He, Chee-Hung Henry Chu
2008	J	`jnl`	Texture-based image steganalysis by artificial neural networks. Int. J. Intell. Comput. Cybern. Michael A. Pratt, Sharath Konda, Chee-Hung Henry Chu
2007	—	`conf`	A Treemap-Based Result Interface for Search Engine Users. HCI (8) Shixian Chu, Jinfeng Chen, Zonghuan Wu, Chee-Hung Henry Chu, Vijay V. Raghavan
2007	J	`jnl`	Imputing incomplete time-series data based on varied-window similarity measure of data sequences. Pattern Recognit. Lett. Sirapat Chiewchanwattana, Chidchanok Lursinsap, Chee-Hung Henry Chu
2007	—	`conf`	Intrinsic Images by Fisher Linear Discriminant. ISVC (2) Qiang He, Chee-Hung Henry Chu
2007	Misc	`conf`	Lane Detection and Tracking through Affine Rectification. MVA Qiang He, Chee-Hung Henry Chu
2007	J	`jnl`	The Neural Comput. Appl. Khamron Sunat, Chidchanok Lursinsap, Chee-Hung Henry Chu
2006	—	`conf`	Camera Pose Estimation by an Artificial Neural Network. ICONIP (2) Ryan Gene Benton, Chee-Hung Henry Chu
2006	—	`conf`	Planar Surface Detection in Image Pairs Using Homographic Constraints. ISVC (1) Qiang He, Chee-Hung Henry Chu
2006	—	`conf`	Recovering Intrinsic Images from Weighted Edge Maps. IIH-MSP Qiang He, Chee-Hung Henry Chu
2005	Misc	`conf`	Interface for visualization of image database in adaptive image retrieval systems (AIRS). Visualization and Data Analysis Anca Doloc-Mihu, Vijay V. Raghavan, Surendra Karnatapu, Chee-Hung Henry Chu
2004	J	`jnl`	Extracting linguistic quantitative rules from supervised neural networks. Int. J. Knowl. Based Intell. Eng. Syst. Wiphada Wettayaprasit, Chidchanok Lursinsap, Chee-Hung Henry Chu
2003	J	`jnl`	Co-Citation count vs correlation for influence network visualization. Inf. Vis. Steven Noel, Chee-Hung Henry Chu, Vijay V. Raghavan
2003	—	`ch.`	Document Clustering, Visualization, and Retrieval Link Mining. Clustering and Information Retrieval Steven Noel, Vijay V. Raghavan, Chee-Hung Henry Chu
2002	—	`conf`	Illumination mipmaps for texture mapping in computational video. DCV Somying Thainimit, Chee-Hung Henry Chu
2002	—	`conf`	Quasi-Morphism and Comprehensibility of Rules in Inductive Learning. IEEE ICCI Wiphada Wettayaprasit, Chidchanok Lursinsap, Chee-Hung Henry Chu
2002	C	`conf`	Visualization of Document Co-Citation Counts. IV Steven Noel, Chee-Hung Henry Chu, Vijay V. Raghavan
2001	—	`conf`	Development of a Digital Video System for Remote Sensing of Coasts. ITCC Scott Wilson, Chee-Hung Henry Chu
2001	A*	`conf`	Visualizing Association Mining Results through Hierarchical Clusters. ICDM Steven Noel, Vijay V. Raghavan, Chee-Hung Henry Chu
1999	—	`conf`	Halftoning for Color-Indexed Displays. ICIP (3) Nancy Breaux, Chee-Hung Henry Chu
1997	J	`jnl`	A Concurrent Training Algorithm for Supervised Learning in Artificial Neural Networks. J. Inf. Sci. Eng. C. R. Chow, Chee-Hung Henry Chu
1994	J	`jnl`	Book reviews. J. Intell. Robotic Syst. Chee-Hung Henry Chu, Spyros G. Tzafestas
1994	—	`conf`	Genetic algorithm approach to the configuration of wavelet packet processing tree. ICPR (3) Chee-Hung Henry Chu
1990	B	`conf`	A spatial summation model for image processing by artificial neural networks. IJCNN Chee-Hung Henry Chu
1989	—	`conf`	A Genetic Algorithm Approach to the Configuration of Stack Filters. ICGA Chee-Hung Henry Chu
1989	J	`jnl`	A Model for an Intelligent Operating System for Executing Image Understanding Tasks on a Reconfigurable Parallel Architecture. J. Parallel Distributed Comput. Chee-Hung Henry Chu, Edward J. Delp, Leah H. Jamieson, Howard Jay Siegel, Francis J. Weil, Andrew B. Whinston
1989	J	`jnl`	Impulsive noise suppression and background normalization of electrocardiogram signals using morphological operators. IEEE Trans. Biomed. Eng. Chee-Hung Henry Chu, Edward J. Delp
1985	J	`jnl`	Detecting edge segments. IEEE Trans. Syst. Man Cybern. Edward J. Delp, Chee-Hung Henry Chu