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ORCIDChee-Hung Henry Chu
Person information
- affiliation: University of Louisiana at Lafayette, LA, USA
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Journal Articles
- 2021
[j8]Nishanth Anandanadarajah
, Chee-Hung Henry Chu, Rasiah Loganantharaj:
An integrated deep learning and dynamic programming method for predicting tumor suppressor genes, oncogenes, and fusion from PDB structures. Comput. Biol. Medicine 133: 104323 (2021)- 2011
- [j7]Somying Thainimit, Chirayuth Sreecholpech, Vutipong Areekul, Chee-Hung Henry Chu:
Robust Iris Segmentation Based on Local Image Gradient Properties. IEICE Trans. Inf. Syst. 94-D(2): 349-356 (2011) - 2010
- [j6]Yun Zhang, Chee-Hung Henry Chu:
One-Dimensional Mapping for Estimating Projective Transformations. IEEE Trans. Image Process. 19(11): 3049-3058 (2010) - 2008
- [j5]Michael A. Pratt, Sharath Konda, Chee-Hung Henry Chu:
Texture-based image steganalysis by artificial neural networks. Int. J. Intell. Comput. Cybern. 1(4): 549-562 (2008) - 2007
- [j4]Khamron Sunat, Chidchanok Lursinsap, Chee-Hung Henry Chu:
The p-recursive piecewise polynomial sigmoid generators and first-order algorithms for multilayer tanh-like neurons. Neural Comput. Appl. 16(1): 33-47 (2007) - [j3]Sirapat Chiewchanwattana, Chidchanok Lursinsap, Chee-Hung Henry Chu:
Imputing incomplete time-series data based on varied-window similarity measure of data sequences. Pattern Recognit. Lett. 28(9): 1091-1103 (2007) - 2003
- [j2]Steven Noel, Chee-Hung Henry Chu, Vijay V. Raghavan:
Co-Citation count vs correlation for influence network visualization. Inf. Vis. 2(3): 160-170 (2003) - 1994
- [j1]Chee-Hung Henry Chu, Spyros G. Tzafestas:
Book reviews. J. Intell. Robotic Syst. 11(3): 311-314 (1994)
Conference and Workshop Papers
- 2024
- [c26]Rashida Hasan, Chee-Hung Henry Chu:
A Heterogeneous Ensemble Method for Handling Class Noise in Supervised Machine Learning. SAC 2024: 902-909 - 2023
- [c25]Frederic Rizk, Rodrigue Rizk, Dominick Rizk, Chee-Hung Henry Chu:
MAGAN: A Meta-Analysis for Generative Adversarial Networks' Latent Space. ICPRAM 2023: 488-494 - 2022
- [c24]Rashida Hasan, Chee-Hung Henry Chu:
DRN: Detection and Removal of Noisy Instances with Self Organizing Map. ICPRAI (2) 2022: 480-491 - [c23]Rashida Hasan, Chee-Hung Henry Chu:
Noise in Datasets: What Are the Impacts on Classification Performance? ICPRAM 2022: 163-170 - [c22]Jeevithan Alagurajah, Chee-Hung Henry Chu:
Adversarial defense by restricting in-variance and co-variance of representations. SAC 2022: 58-65 - 2018
- [c21]Michael A. Pratt, Chee-Hung Henry Chu:
Predicting Hospital Safety Measures using Patient Experience of Care Responses. ICPRAM 2018: 371-378 - 2016
- [c20]Anurag Singh, Chee-Hung Henry Chu, Michael A. Pratt:
Comparing Color Descriptors between Image Segments for Saliency Detection. ICPRAM 2016: 558-565 - 2015
- [c19]Anurag Singh, Chee-Hung Henry Chu, Michael A. Pratt:
Learning to Predict Video Saliency using Temporal Superpixels. ICPRAM (2) 2015: 201-209 - [c18]Anurag Singh, Chee-Hung Henry Chu, Michael A. Pratt:
Visually salient features for highway scene analysis. MVA 2015: 357-360 - [c17]Anurag Singh, Chee-Hung Henry Chu, Michael A. Pratt:
Saliency Detection using Geometric Context Contrast Inferred from Natural Images. VISAPP (1) 2015: 609-616 - 2014
- [c16]Anurag Singh, Chee-Hung Henry Chu, Michael A. Pratt:
Multiresolution superpixels for visual saliency detection. CIMSIVP 2014: 90-97 - 2008
- [c15]Qiang He, Chee-Hung Henry Chu:
Texture-Based Shadow Removal from a Single Color Image. ISVC (2) 2008: 644-650 - [c14]Qiang He, Chee-Hung Henry Chu:
A New Image Segmentation Technique Using Maximum Spanning Tree. IWCIA 2008: 197-204 - 2007
- [c13]Shixian Chu, Jinfeng Chen, Zonghuan Wu, Chee-Hung Henry Chu, Vijay V. Raghavan:
A Treemap-Based Result Interface for Search Engine Users. HCI (8) 2007: 401-410 - [c12]Qiang He, Chee-Hung Henry Chu:
Intrinsic Images by Fisher Linear Discriminant. ISVC (2) 2007: 349-356 - [c11]Qiang He, Chee-Hung Henry Chu:
Lane Detection and Tracking through Affine Rectification. MVA 2007: 536-539 - 2006
- [c10]Ryan Gene Benton, Chee-Hung Henry Chu:
Camera Pose Estimation by an Artificial Neural Network. ICONIP (2) 2006: 604-611 - [c9]Qiang He, Chee-Hung Henry Chu:
Recovering Intrinsic Images from Weighted Edge Maps. IIH-MSP 2006: 159-162 - [c8]Qiang He, Chee-Hung Henry Chu:
Planar Surface Detection in Image Pairs Using Homographic Constraints. ISVC (1) 2006: 19-27 - 2005
- [c7]Anca Doloc-Mihu, Vijay V. Raghavan, Surendra Karnatapu, Chee-Hung Henry Chu:
Interface for visualization of image database in adaptive image retrieval systems (AIRS). Visualization and Data Analysis 2005: 382- - 2002
- [c6]Wiphada Wettayaprasit, Chidchanok Lursinsap, Chee-Hung Henry Chu:
Quasi-Morphism and Comprehensibility of Rules in Inductive Learning. IEEE ICCI 2002: 337-342 - [c5]Somying Thainimit, Chee-Hung Henry Chu:
Illumination mipmaps for texture mapping in computational video. DCV 2002: 75-81 - [c4]Steven Noel, Chee-Hung Henry Chu, Vijay V. Raghavan:
Visualization of Document Co-Citation Counts. IV 2002: 691-696 - 2001
- [c3]Steven Noel, Vijay V. Raghavan, Chee-Hung Henry Chu:
Visualizing Association Mining Results through Hierarchical Clusters. ICDM 2001: 425-432 - 1999
- [c2]Nancy Breaux, Chee-Hung Henry Chu:
Halftoning for Color-Indexed Displays. ICIP (3) 1999: 597-601 - 1989
- [c1]Chee-Hung Henry Chu:
A Genetic Algorithm Approach to the Configuration of Stack Filters. ICGA 1989: 219-224
Parts in Books or Collections
- 2003
- [p1]Steven Noel, Vijay V. Raghavan, Chee-Hung Henry Chu:
Document Clustering, Visualization, and Retrieval Link Mining. Clustering and Information Retrieval 2003: 161-194
Informal and Other Publications
- 2021
- [i1]Nishanth Anandanadarajah, Chee-Hung Henry Chu, Rasiah Loganantharaj:
An Integrated Deep Learning and Dynamic Programming Method for Predicting Tumor Suppressor Genes, Oncogenes, and Fusion from PDB Structures. CoRR abs/2105.08100 (2021)
Coauthor Index
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