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2020 – today
- 2025
[j98]Truong Dang, Tien Thanh Nguyen, Alan Wee-Chung Liew, Eyad Elyan:
Event Classification on Subsea Pipeline Inspection Data Using an Ensemble of Deep Learning Classifiers. Cogn. Comput. 17(1): 10 (2025)- 2024
- [j97]Truong Dang
, Tien Thanh Nguyen, Alan Wee-Chung Liew, Eyad Elyan, John A. W. McCall:
Which classifiers are connected to others? An optimal connection framework for multi-layer ensemble systems. Knowl. Based Syst. 304: 112522 (2024) - [j96]Yi He, Lei Yang, Shilin Wang, Alan Wee-Chung Liew:
Lip Feature Disentanglement for Visual Speaker Authentication in Natural Scenes. IEEE Trans. Circuits Syst. Video Technol. 34(10): 9898-9909 (2024) - [j95]Lei Yang, Shilin Wang, Alan Wee-Chung Liew:
Fine-Grained Lip Image Segmentation Using Fuzzy Logic and Graph Reasoning. IEEE Trans. Fuzzy Syst. 32(2): 349-359 (2024) - [j94]Judy X. Yang, Jun Zhou, Jing Wang, Hui Tian, Alan Wee-Chung Liew:
LiDAR-Guided Cross-Attention Fusion for Hyperspectral Band Selection and Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j93]Mohammad Reza Chalak Qazani, Houshyar Asadi, Muhammad Zakarya, Chee Peng Lim, Alan Wee-Chung Liew, Mansour A. Karkoub, Saeid Nahavandi:
A Neural Network-Based Motion Cueing Algorithm Using the Classical Washout Filter for Comprehensive Driving Scenarios. IEEE Trans. Intell. Transp. Syst. 25(6): 5112-5121 (2024) - [j92]Linqing Huang, Wangbo Zhao, Yong Liu, Duo Yang, Alan Wee-Chung Liew, Yang You:
An Evidential Multi-Target Domain Adaptation Method Based on Weighted Fusion for Cross-Domain Pattern Classification. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14218-14232 (2024) - [c98]Truong Dang, Tien Thanh Nguyen, John McCall, Kate Han, Alan Wee-Chung Liew:
A Novel Surrogate Model for Variable-Length Encoding and its Application in Optimising Deep Learning Architecture. CEC 2024: 1-8 - [c97]Kate Han, Truong Thanh Nguyen, Viet Anh Vu, Alan Wee-Chung Liew, Truong Dang, Tien Thanh Nguyen:
VISTA: A Variable Length Genetic Algorithm and LSTM-Based Surrogate Assisted Ensemble Selection algorithm in Multiple Layers Ensemble System. CEC 2024: 1-9 - [c96]Yanming Zhu, Ari Tchetchenian, Xuefei Yin, Alan Wee-Chung Liew, Yang Song, Erik Meijering:
AC-UNet: Adaptive Connection UNet for White Matter Tract Segmentation Through Neural Architecture Search. ISBI 2024: 1-5 - [i16]Judy X. Yang, Jun Zhou, Jing Wang, Hui Tian, Alan Wee-Chung Liew:
HSIMamba: Hyperpsectral Imaging Efficient Feature Learning with Bidirectional State Space for Classification. CoRR abs/2404.00272 (2024) - [i15]Judy X. Yang, Jun Zhou, Jing Wang, Hui Tian, Alan Wee-Chung Liew:
LiDAR-Guided Cross-Attention Fusion for Hyperspectral Band Selection and Image Classification. CoRR abs/2404.03883 (2024) - [i14]Judy X. Yang, Jun Zhou, Jing Wang, Hui Tian, Alan Wee-Chung Liew:
Unsupervised Band Selection Using Fused HSI and LiDAR Attention Integrating With Autoencoder. CoRR abs/2404.05258 (2024) - [i13]Jiapu Wang, Kai Sun, Linhao Luo, Wei Wei, Yongli Hu, Alan Wee-Chung Liew, Shirui Pan, Baocai Yin:
Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning. CoRR abs/2405.14170 (2024) - [i12]Dylan Matthew Janssen, Wayne Pullan, Alan Wee-Chung Liew:
GPU Based Differential Evolution: New Insights and Comparative Study. CoRR abs/2405.16551 (2024) - 2023
- [j91]Dylan Matthew Janssen, Wayne Pullan, Alan Wee-Chung Liew:
Evolutionary Computation Visualization: ECvis. IEEE Access 11: 16474-16482 (2023) - [j90]Ye Tao, Can Wang, Alan Wee-Chung Liew:
Dynamic weighted ensemble learning for sequential recommendation systems: The AIRE model. Future Gener. Comput. Syst. 149: 162-170 (2023) - [j89]Linqing Huang, Wangbo Zhao, Alan Wee-Chung Liew, Yang You:
An evidential combination method with multi-color spaces for remote sensing image scene classification. Inf. Fusion 93: 209-226 (2023) - [j88]Anh Vu Luong, Tien Thanh Nguyen, Kate Han, Trung Hieu Vu, John McCall, Alan Wee-Chung Liew:
DEFEG: Deep Ensemble with Weighted Feature Generation. Knowl. Based Syst. 275: 110691 (2023) - [j87]Can Wang, Chi-Hung Chi, Lina Yao, Alan Wee-Chung Liew, Hong Shen:
Interdependence analysis on heterogeneous data via behavior interior dimensions. Knowl. Based Syst. 279: 110893 (2023) - [j86]Fang-Qi Li, Shi-Lin Wang, Alan Wee-Chung Liew:
Linear Functionality Equivalence Attack Against Deep Neural Network Watermarks and a Defense Method by Neuron Mapping. IEEE Trans. Inf. Forensics Secur. 18: 1963-1977 (2023) - [c95]Hangtao Zhang, Zeming Yao, Leo Yu Zhang, Shengshan Hu, Chao Chen, Alan Wee-Chung Liew, Zhetao Li:
Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning. IJCAI 2023: 4567-4575 - [i11]Hangtao Zhang, Zeming Yao, Leo Yu Zhang, Shengshan Hu, Chao Chen, Alan Wee-Chung Liew, Zhetao Li:
Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning. CoRR abs/2304.10783 (2023) - [i10]Xin Zheng, Yixin Liu, Zhifeng Bao, Meng Fang, Xia Hu, Alan Wee-Chung Liew, Shirui Pan:
Towards Data-centric Graph Machine Learning: Review and Outlook. CoRR abs/2309.10979 (2023) - [i9]Zhangchi Qiu, Ye Tao, Shirui Pan, Alan Wee-Chung Liew:
Knowledge Graphs and Pre-trained Language Models enhanced Representation Learning for Conversational Recommender Systems. CoRR abs/2312.10967 (2023) - 2022
- [j85]Ye Tao, Can Wang, Alan Wee-Chung Liew, Sebastian Binnewies:
Enhancing recommender ensemble by estimating input fitness. Comput. Electr. Eng. 104(Part): 108442 (2022) - [j84]Dylan Matthew Janssen, Wayne Pullan, Alan Wee-Chung Liew:
Graphics processing unit acceleration of the island model genetic algorithm using the CUDA programming platform. Concurr. Comput. Pract. Exp. 34(2) (2022) - [j83]Hui Tian, Alan Wee-Chung Liew, Hong Shen:
Advances in parallel and distributed computing and its applications. Concurr. Comput. Pract. Exp. 34(2) (2022) - [j82]Hui Tian, Lulu Wang, Hong Shen, Alan Wee-Chung Liew:
Improved Ensemble Classification for Evolving Data Streams. IEEE Intell. Syst. 37(1): 38-50 (2022) - [j81]Remco M. Dijkman, Samira Si-Said Cherfi, Rik Eshuis, Alan Wee-Chung Liew:
Enterprise Computing. Inf. Syst. 109: 102084 (2022) - [j80]Benson Shu Yan Lam, Alan Wee-Chung Liew:
A Fast Binary Quadratic Programming Solver Based on Stochastic Neighborhood Search. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 32-49 (2022) - [j79]Fang-Qi Li, Ruijie Zhao, Shi-Lin Wang, Li-Bo Chen, Alan Wee-Chung Liew, Weiping Ding:
Online Intrusion Detection for Internet of Things Systems With Full Bayesian Possibilistic Clustering and Ensembled Fuzzy Classifiers. IEEE Trans. Fuzzy Syst. 30(11): 4605-4617 (2022) - [j78]Suhad Lateef Al-Khafaji, Jun Zhou, Xiao Bai, Yuntao Qian, Alan Wee-Chung Liew:
Spectral-Spatial Boundary Detection in Hyperspectral Images. IEEE Trans. Image Process. 31: 499-512 (2022) - [c94]Fangqi Li, Lei Yang, Shilin Wang, Alan Wee-Chung Liew:
Leveraging Multi-task Learning for Umambiguous and Flexible Deep Neural Network Watermarking. SafeAI@AAAI 2022 - [c93]A Hasitha Kuruwita, Shu-Kay Ng, Alan Wee-Chung Liew, Brent Richards, Kelvin Ross, Kuldeep Kumar, Luke Haseler, Meghan McConnell, Ping Zhang:
Ectopic Heartbeat Detection from ECG Signals using Deep Convolutional Neural Networks. BIBM 2022: 3535-3540 - [c92]Truong Dang, Anh Vu Luong, Alan Wee-Chung Liew, John McCall, Tien Thanh Nguyen:
Ensemble of deep learning models with surrogate-based optimization for medical image segmentation. CEC 2022: 1-8 - [c91]Fang-Qi Li, Shi-Lin Wang, Alan Wee-Chung Liew:
Watermarking Protocol for Deep Neural Network Ownership Regulation in Federated Learning. ICME Workshops 2022: 1-4 - [c90]Mohammad Reza Chalak Qazani, Houshyar Asadi, Mansour A. Karkoub, Chee Peng Lim, Alan Wee-Chung Liew, Saeid Nahavandi:
Biogeography-based Optimisation for Weight Tuning of a Linear Time-Varying Model Predictive Control Approach for Autonomous Vehicles. SMC 2022: 2620-2626 - [c89]Mohammad Reza Chalak Qazani, Mansour A. Karkoub, Houshyar Asadi, Chee Peng Lim, Alan Wee-Chung Liew, Saeid Nahavandi:
Multi-objective NSGA-II for Weight Tuning of a Nonlinear Model Predictive Controller in Autonomous Vehicles. SMC 2022: 2820-2826 - [c88]Truong Dang, Tien Thanh Nguyen, John McCall, Alan Wee-Chung Liew:
Ensemble Learning based on Classifier Prediction Confidence and Comprehensive Learning Particle Swarm Optimisation for Medical Image Segmentation. SSCI 2022: 269-276 - [i8]Judy X. Yang, Hui Tian, Alan Wee-Chung Liew, Earnest Foo:
A scheme of hybrid privacy protection and utility levels for medical data. CoRR abs/2204.13880 (2022) - [i7]Thanh Tam Nguyen, Thanh Trung Huynh, Phi Le Nguyen, Alan Wee-Chung Liew, Hongzhi Yin, Quoc Viet Hung Nguyen:
A Survey of Machine Unlearning. CoRR abs/2209.02299 (2022) - 2021
- [j77]Yi Ji, Alan Wee-Chung Liew, Lixia Yang:
A Novel Improved Particle Swarm Optimization With Long-Short Term Memory Hybrid Model for Stock Indices Forecast. IEEE Access 9: 23660-23671 (2021) - [j76]Saba Momeni, Amir Fazlollahi, Paul A. Yates, Christopher Rowe, Yongsheng Gao, Alan Wee-Chung Liew, Olivier Salvado:
Synthetic microbleeds generation for classifier training without ground truth. Comput. Methods Programs Biomed. 207: 106127 (2021) - [j75]Anh Vu Luong, Tien Thanh Nguyen, Alan Wee-Chung Liew, Shilin Wang:
Heterogeneous ensemble selection for evolving data streams. Pattern Recognit. 112: 107743 (2021) - [j74]Fang-Qi Li, Shi-Lin Wang, Alan Wee-Chung Liew, Weiping Ding, Gongshen Liu:
Large-Scale Malicious Software Classification With Fuzzified Features and Boosted Fuzzy Random Forest. IEEE Trans. Fuzzy Syst. 29(11): 3205-3218 (2021) - [j73]Chenzhao Yang, Jun Ma, Shilin Wang, Alan Wee-Chung Liew:
Preventing DeepFake Attacks on Speaker Authentication by Dynamic Lip Movement Analysis. IEEE Trans. Inf. Forensics Secur. 16: 1841-1854 (2021) - [j72]Tian-Fang Zhao, Wei-Neng Chen, Alan Wee-Chung Liew, Tianlong Gu, Xiaokun Wu, Jun Zhang:
A Binary Particle Swarm Optimizer With Priority Planning and Hierarchical Learning for Networked Epidemic Control. IEEE Trans. Syst. Man Cybern. Syst. 51(8): 5090-5104 (2021) - [c87]Anh Vu Luong, Tien Thanh Nguyen, Alan Wee-Chung Liew:
Streaming Multi-layer Ensemble Selection using Dynamic Genetic Algorithm. DICTA 2021: 1-8 - [c86]Xuan Cuong Pham, Alan Wee-Chung Liew, Can Wang:
A Novel Class-wise Forgetting Detector in Continual Learning. DICTA 2021: 1-8 - [c85]Tianxing Wang, Can Wang, Hui Tian, Alan Wee-Chung Liew, Yunwei Zhao:
Clustering-based Location Authority Deep Model in the Next Point-of-Interest Recommendation. WI/IAT 2021: 335-342 - [i6]Truong Dang, Tien Thanh Nguyen, John A. W. McCall, Alan Wee-Chung Liew:
Ensemble Learning based on Classifier Prediction Confidence and Comprehensive Learning Particle Swarm Optimisation for polyp localisation. CoRR abs/2104.04832 (2021) - [i5]Fangqi Li, Shi-Lin Wang, Alan Wee-Chung Liew:
Regulating Ownership Verification for Deep Neural Networks: Scenarios, Protocols, and Prospects. CoRR abs/2108.09065 (2021) - 2020
- [j71]Yufei Wang, Yongjian Hu, Alan Wee-Chung Liew, Chang-Tsun Li:
ENF Based Video Forgery Detection Algorithm. Int. J. Digit. Crime Forensics 12(1): 131-156 (2020) - [j70]Weiping Ding, Chin-Teng Lin, Alan Wee-Chung Liew, Isaac Triguero, Wenjian Luo:
Current trends of granular data mining for biomedical data analysis. Inf. Sci. 510: 341-343 (2020) - [j69]Tien Thanh Nguyen, Manh Truong Dang, Vimal Anand Baghel, Anh Vu Luong, John McCall, Alan Wee-Chung Liew:
Evolving interval-based representation for multiple classifier fusion. Knowl. Based Syst. 201-202: 106034 (2020) - [j68]Tien Thanh Nguyen, Anh Vu Luong, Manh Truong Dang, Alan Wee-Chung Liew, John McCall:
Ensemble Selection based on Classifier Prediction Confidence. Pattern Recognit. 100: 107104 (2020) - [j67]Qinghua Huang, Jie Yang, Xiangfei Feng, Alan Wee-Chung Liew, Xuelong Li:
Automated Trading Point Forecasting Based on Bicluster Mining and Fuzzy Inference. IEEE Trans. Fuzzy Syst. 28(2): 259-272 (2020) - [j66]Cheng Guan, Shilin Wang, Alan Wee-Chung Liew:
Lip Image Segmentation Based on a Fuzzy Convolutional Neural Network. IEEE Trans. Fuzzy Syst. 28(7): 1242-1251 (2020) - [c84]Duc Thuan Do, Tien Thanh Nguyen, The Trung Nguyen, Anh Vu Luong, Alan Wee-Chung Liew, John McCall:
Confidence in Prediction: An Approach for Dynamic Weighted Ensemble. ACIIDS (1) 2020: 358-370 - [c83]Tien Thanh Nguyen, Nang Van Pham, Manh Truong Dang, Anh Vu Luong, John McCall, Alan Wee-Chung Liew:
Multi-layer heterogeneous ensemble with classifier and feature selection. GECCO 2020: 725-733 - [c82]Jun Ma, Shilin Wang, Aixin Zhang, Alan Wee-Chung Liew:
Feature Extraction For Visual Speaker Authentication Against Computer-Generated Video Attacks. ICIP 2020: 1326-1330 - [c81]Anh Vu Luong, Trung Hieu Vu, Phuong Minh Nguyen, Nang Van Pham, John A. W. McCall, Alan Wee-Chung Liew, Tien Thanh Nguyen:
A Homogeneous-Heterogeneous Ensemble of Classifiers. ICONIP (5) 2020: 251-259 - [e1]Yi Li, Alan Wee-Chung Liew:
25th International Conference on Engineering of Complex Computer Systems, ICECCS 2020, Singapore, October 28-31, 2020. IEEE 2020, ISBN 978-1-7281-8558-3 [contents] - [i4]Anh Vu Luong, Tien Thanh Nguyen, Alan Wee-Chung Liew:
Streaming Active Deep Forest for Evolving Data Stream Classification. CoRR abs/2002.11816 (2020)
2010 – 2019
- 2019
- [j65]Tien Thanh Nguyen, Manh Truong Dang, Dung Pham, Lan Phuong Dao, Anh Vu Luong, John McCall, Alan Wee-Chung Liew:
Deep Heterogeneous Ensemble. Aust. J. Intell. Inf. Process. Syst. 16(1): 1-9 (2019) - [j64]Rupam Deb, Alan Wee-Chung Liew:
Noisy values detection and correction of traffic accident data. Inf. Sci. 476: 132-146 (2019) - [j63]Thi Thu Thuy Nguyen, Tien Thanh Nguyen, Rabi Sharma, Alan Wee-Chung Liew:
A lossless online Bayesian classifier. Inf. Sci. 489: 1-17 (2019) - [j62]Tien Thanh Nguyen, Manh Truong Dang, Alan Wee-Chung Liew, James C. Bezdek:
A weighted multiple classifier framework based on random projection. Inf. Sci. 490: 36-58 (2019) - [j61]Tien Thanh Nguyen, Thi Thu Thuy Nguyen, Anh Vu Luong, Quoc Viet Hung Nguyen, Alan Wee-Chung Liew, Bela Stantic:
Multi-label classification via label correlation and first order feature dependance in a data stream. Pattern Recognit. 90: 35-51 (2019) - [j60]Tien Thanh Nguyen, Manh Truong Dang, Anh Vu Luong, Alan Wee-Chung Liew, Tiancai Liang, John McCall:
Multi-label classification via incremental clustering on an evolving data stream. Pattern Recognit. 95: 96-113 (2019) - [j59]Feng Cheng, Shi-Lin Wang, Xizi Wang, Alan Wee-Chung Liew, Gongshen Liu:
A global and local context integration DCNN for adult image classification. Pattern Recognit. 96 (2019) - [j58]Tien Thanh Nguyen, Xuan Cuong Pham, Alan Wee-Chung Liew, Witold Pedrycz:
Aggregation of Classifiers: A Justifiable Information Granularity Approach. IEEE Trans. Cybern. 49(6): 2168-2177 (2019) - [j57]Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Xiuping Jia, Jocelyn Chanussot, Yongsheng Gao:
Conditional Random Field and Deep Feature Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(3): 1612-1628 (2019) - [c80]Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew:
Abundance-Guided Superpixels and Recurrent Neural Network for Hyperspectral Image Classification. DICTA 2019: 1-8 - [c79]Fayez Tarsha Kurdi, Mohammad Awrangjeb, Alan Wee-Chung Liew:
Automated Building Footprint and 3D Building Model Generation from Lidar Point Cloud Data. DICTA 2019: 1-8 - [c78]Tien Thanh Nguyen, Anh Vu Luong, Thi Minh Van Nguyen, Trong Sy Ha, Alan Wee-Chung Liew, John McCall:
Simultaneous meta-data and meta-classifier selection in multiple classifier system. GECCO 2019: 39-46 - [c77]Thi Thu Thuy Nguyen, Tien Thanh Nguyen, Alan Wee-Chung Liew, Shi-Lin Wang, Tiancai Liang, Yongjiang Hu:
An Online Variational Inference and Ensemble Based Multi-label Classifier for Data Streams. ICACI 2019: 302-307 - [c76]Cheng Guan, Shilin Wang, Gongshen Liu, Alan Wee-Chung Liew:
Lip Image Segmentation in Mobile Devices Based on Alternative Knowledge Distillation. ICIP 2019: 1540-1544 - [c75]Xuan Cuong Pham, Thi Thu Thuy Nguyen, Alan Wee-Chung Liew:
A Novel Online Ensemble Convolutional Neural Networks for Streaming Data. ICONIP (1) 2019: 199-210 - [c74]Tien Thanh Nguyen, Anh Vu Luong, Manh Truong Dang, Lan Phuong Dao, Thi Thu Thuy Nguyen, Alan Wee-Chung Liew, John McCall:
Evolving an Optimal Decision Template for Combining Classifiers. ICONIP (1) 2019: 608-620 - [c73]Dylan Matthew Janssen, Alan Wee-Chung Liew:
Acceleration of Genetic Algorithm on GPU CUDA Platform. PDCAT 2019: 208-213 - 2018
- [j56]Tien Thanh Nguyen, Mai Phuong Nguyen, Xuan Cuong Pham, Alan Wee-Chung Liew, Witold Pedrycz:
Combining heterogeneous classifiers via granular prototypes. Appl. Soft Comput. 73: 795-815 (2018) - [j55]Ghazaleh Taherzadeh, Yaoqi Zhou, Alan Wee-Chung Liew, Yuedong Yang:
Structure-based prediction of protein- peptide binding regions using Random Forest. Bioinform. 34(3): 477-484 (2018) - [j54]Tien Thanh Nguyen, Mai Phuong Nguyen, Xuan Cuong Pham, Alan Wee-Chung Liew:
Heterogeneous classifier ensemble with fuzzy rule-based meta learner. Inf. Sci. 422: 144-160 (2018) - [j53]Ghazaleh Taherzadeh, Yuedong Yang, Hao-Dong Xu, Yu Xue, Alan Wee-Chung Liew, Yaoqi Zhou:
Predicting lysine-malonylation sites of proteins using sequence and predicted structural features. J. Comput. Chem. 39(22): 1757-1763 (2018) - [j52]Shahrzad Saremi, Seyedali Mirjalili, Andrew Lewis, Alan Wee-Chung Liew, Jin Song Dong:
Enhanced multi-objective particle swarm optimisation for estimating hand postures. Knowl. Based Syst. 158: 175-195 (2018) - [j51]Seyed Hashem Davarpanah, Alan Wee-Chung Liew:
Brain mid-sagittal surface extraction based on fractal analysis. Neural Comput. Appl. 30(1): 153-162 (2018) - [j50]Thi Thu Thuy Nguyen, Tien Thanh Nguyen, Alan Wee-Chung Liew, Shi-Lin Wang:
Variational inference based bayes online classifiers with concept drift adaptation. Pattern Recognit. 81: 280-293 (2018) - [j49]Feng Cheng, Shi-Lin Wang, Alan Wee-Chung Liew:
Visual speaker authentication with random prompt texts by a dual-task CNN framework. Pattern Recognit. 83: 340-352 (2018) - [j48]Suhad Lateef Al-khafaji, Jun Zhou, Ali Zia, Alan Wee-Chung Liew:
Spectral-Spatial Scale Invariant Feature Transform for Hyperspectral Images. IEEE Trans. Image Process. 27(2): 837-850 (2018) - [c72]Anh Vu Luong, Tien Thanh Nguyen, Xuan Cuong Pham, Thi Thu Thuy Nguyen, Alan Wee-Chung Liew, Bela Stantic:
Automatic Image Region Annotation by Genetic Algorithm-Based Joint Classifier and Feature Selection in Ensemble System. ACIIDS (1) 2018: 599-609 - [c71]Maryam Golchin, Alan Wee-Chung Liew:
Bicluster Detection by Hyperplane Projection and Evolutionary Optimization. BIOINFORMATICS 2018: 61-68 - [c70]Suhad Lateef Al-Khafaji, Jun Zhou, Alan Wee-Chung Liew:
An Efficient Method for Boundary Detection from Hyperspectral Imagery. S+SSPR 2018: 416-426 - [c69]Yufei Wang, Yongjiang Hu, Alan Wee-Chung Liew, Junhu Wang:
Weakly Supervised Video Object Segmentation. TENCON 2018: 315-320 - [c68]Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Jun Jo, Yongsheng Gao:
Triplet Constrained Deep Feature Extraction for Hyperspectral Image Classification. WHISPERS 2018: 1-5 - 2017
- [j47]Seyed Hashem Davarpanah, Alan Wee-Chung Liew:
Spatial Possibilistic Fuzzy C-Mean Segmentation Algorithm Integrated with Brain Mid-sagittal Surface Information. Int. J. Fuzzy Syst. 19(2): 591-605 (2017) - [j46]Maryam Golchin, Alan Wee-Chung Liew:
Parallel biclustering detection using strength Pareto front evolutionary algorithm. Inf. Sci. 415: 283-297 (2017) - [c67]Shahrzad Saremi, Seyedali Mirjalili, Andrew Lewis, Alan Wee-Chung Liew:
Let's Consider Two Objectives When Estimating Hand Postures. Australasian Conference on Artificial Intelligence 2017: 119-130 - [c66]Suhad Lateef Al-khafaji, Ali Zia, Jun Zhou, Alan Wee-Chung Liew:
Material Based Boundary Detection in Hyperspectral Images. DICTA 2017: 1-7 - [c65]Fahim Irfan Alam, Jun Zhou, Lei Tong, Alan Wee-Chung Liew, Yongsheng Gao:
Combining Unmixing and Deep Feature Learning for Hyperspectral Image Classification. DICTA 2017: 1-8 - [c64]Thi Thu Thuy Nguyen, Alan Wee-Chung Liew, Tien Thanh Nguyen, Shilin Wang:
A Novel Bayesian Framework for Online Imbalanced Learning. DICTA 2017: 1-7 - [c63]Xuan Cuong Pham, Manh Truong Dang, Dinh Viet Sang, Son Hoang, Tien Thanh Nguyen, Alan Wee-Chung Liew:
Learning from Data Stream Based on Random Projection and Hoeffding Tree Classifier. DICTA 2017: 1-8 - [c62]Ning Jia, Chang-Tsun Li, Victor Sanchez, Alan Wee-Chung Liew:
Fast and robust framework for view-invariant gait recognition. IWBF 2017: 1-6 - [i3]Tien Thanh Nguyen, Xuan Cuong Pham, Alan Wee-Chung Liew, Witold Pedrycz:
Aggregation of Classifiers: A Justifiable Information Granularity Approach. CoRR abs/1703.05411 (2017) - [i2]Tien Thanh Nguyen, Thi Thu Thuy Nguyen, Xuan Cuong Pham, Alan Wee-Chung Liew, James C. Bezdek:
An ensemble-based online learning algorithm for streaming data. CoRR abs/1704.07938 (2017) - [i1]Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Xiuping Jia, Jocelyn Chanussot, Yongsheng Gao:
Conditional Random Field and Deep Feature Learning for Hyperspectral Image Segmentation. CoRR abs/1711.04483 (2017) - 2016
- [j45]Feibin Yang, Qinghua Huang, Lianwen Jin, Alan Wee-Chung Liew:
Segmentation and recognition of multi-model photo event. Neurocomputing 172: 159-167 (2016) - [j44]Rupam Deb, Alan Wee-Chung Liew:
Missing value imputation for the analysis of incomplete traffic accident data. Inf. Sci. 339: 274-289 (2016) - [j43]Jun-Yao Lai, Shi-Lin Wang, Alan Wee-Chung Liew, Xing-Jian Shi:
Visual speaker identification and authentication by joint spatiotemporal sparse coding and hierarchical pooling. Inf. Sci. 373: 219-232 (2016) - [j42]Ghazaleh Taherzadeh, Yuedong Yang, Tuo Zhang, Alan Wee-Chung Liew, Yaoqi Zhou:
Sequence-based prediction of protein-peptide binding sites using support vector machine. J. Comput. Chem. 37(13): 1223-1229 (2016) - [j41]Ghazaleh Taherzadeh, Yaoqi Zhou, Alan Wee-Chung Liew, Yuedong Yang:
Sequence-Based Prediction of Protein-Carbohydrate Binding Sites Using Support Vector Machines. J. Chem. Inf. Model. 56(10): 2123 (2016) - [j40]Tien Thanh Nguyen, Thi Thu Thuy Nguyen, Xuan Cuong Pham, Alan Wee-Chung Liew:
A novel combining classifier method based on Variational Inference. Pattern Recognit. 49: 198-212 (2016) - [j39]Amin Gharipour, Alan Wee-Chung Liew:
Segmentation of cell nuclei in fluorescence microscopy images: An integrated framework using level set segmentation and touching-cell splitting. Pattern Recognit. 58: 1-11 (2016) - [c61]Maryam Golchin, Alan Wee-Chung Liew:
Bicluster detection using strength pareto front evolutionary algorithm. ACSW 2016: 30 - [c60]Lihua Guo, Alan Wee-Chung Liew:
An Improved Extreme Learning Machine with Parallelized Feature Mapping Structures. DICTA 2016: 1-5 - [c59]Lihua Guo, Alan Wee-Chung Liew:
Online-Offline Extreme Learning Machine with Concept Drift Tracking for Time Series Data. DICTA 2016: 1-6 - [c58]Lihua Guo, Fudi Li, Alan Wee-Chung Liew:
Image Aesthetic Evaluation Using Parallel Deep Convolution Neural Network. DICTA 2016: 1-5 - [c57]Thi Thu Thuy Nguyen, Tien Thanh Nguyen, Xuan Cuong Pham, Alan Wee-Chung Liew, Yongjian Hu, Tiancai Liang, Chang-Tsun Li:
A Novel Online Bayes Classifier. DICTA 2016: 1-6 - [c56]Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Xiuping Jia:
CRF learning with CNN features for hyperspectral image segmentation. IGARSS 2016: 6890-6893 - 2015
- [j38]Hamidreza Khataee, Alan Wee-Chung Liew:
A stochastic automaton model for simulating kinesin processivity. Bioinform. 31(3): 390-396 (2015) - [c55]Amin Gharipour, Alan Wee-Chung Liew:
A Multi-Kernel Local Level Set Image Segmentation Algorithm for Fluorescence Microscopy Images. DICTA 2015: 1-5 - [c54]Amin Gharipour, Alan Wee-Chung Liew:
Level Set Based Segmentation of Cell Nucleus in Fluorescence Microscopy Images Using Correntropy-Based K-Means Clustering. DICTA 2015: 1-5 - [c53]Alexandra Posoldova, Alan Wee-Chung Liew:
Recommendation system for HBB TV: Model design and implementation. EUROCON 2015: 1-7 - [c52]Cik Fazilah Hibadullah, Alan Wee-Chung Liew, Jun Jo:
Colour-emotion association study on abstract art painting. ICMLC 2015: 488-493 - [c51]Maryam Golchev, Seyed Hashem Davarpanah, Alan Wee-Chung Liew:
Biclustering analysis of gene expression data using multi-objective evolutionary algorithms. ICMLC 2015: 505-510 - [c50]Rupam Deb, Alan Wee-Chung Liew:
Incorrect attribute value detection for traffic accident data. IJCNN 2015: 1-7 - [c49]Alexandra Posoldova, Alan Wee-Chung Liew:
Content based recommendation for HBB TV based on bayes conditional probability for multiple variables approach. INISTA 2015: 1-8 - [c48]Jun Jo, Yukito Tsunoda, Bela Stantic, Alan Wee-Chung Liew:
A Likelihood-Based Data Fusion Model for the Integration of Multiple Sensor Data: A Case Study with Vision and Lidar Sensors. RiTA 2015: 489-500 - 2014
- [j37]Hamidreza Khataee, Alan Wee-Chung Liew:
A mathematical model describing the mechanical kinetics of kinesin stepping. Bioinform. 30(3): 353-359 (2014) - [j36]Shi-Lin Wang, Alan Wee-Chung Liew, Shenghong Li, Yu-Jin Zhang, Jianhua Li:
Detection of shifted double JPEG compression by an adaptive DCT coefficient model. EURASIP J. Adv. Signal Process. 2014: 101 (2014) - [j35]Hamidreza Khataee, Alan Wee-Chung Liew:
Computational Modeling of Kinesin Stepping. J. Chem. Inf. Model. 54(12): 3439-3445 (2014) - [j34]Weining Wang, Dong Cai, Xiangmin Xu, Alan Wee-Chung Liew:
Visual saliency detection based on region descriptors and prior knowledge. Signal Process. Image Commun. 29(3): 424-433 (2014) - [c47]Tien Thanh Nguyen, Alan Wee-Chung Liew, Minh Toan Tran, Xuan Cuong Pham, Mai Phuong Nguyen:
A novel genetic algorithm approach for simultaneous feature and classifier selection in multi classifier system. IEEE Congress on Evolutionary Computation 2014: 1698-1705 - [c46]Amin Gharipour, Alan Wee-Chung Liew:
Fuzzy clustering using local and global region information for cell image segmentation. FUZZ-IEEE 2014: 216-222 - [c45]Jun-Yao Lai, Shi-Lin Wang, Xing-Jian Shi, Alan Wee-Chung Liew:
Sparse coding based lip texture representation for visual speaker identification. DSP 2014: 607-610 - [c44]Tien Thanh Nguyen, Alan Wee-Chung Liew, Xuan Cuong Pham, Mai Phuong Nguyen:
A Novel 2-Stage Combining Classifier Model with Stacking and Genetic Algorithm Based Feature Selection. ICIC (2) 2014: 33-43 - [c43]Tien Thanh Nguyen, Alan Wee-Chung Liew, Minh Toan Tran, Mai Phuong Nguyen:
Combining Multi Classifiers Based on a Genetic Algorithm - A Gaussian Mixture Model Framework. ICIC (2) 2014: 56-67 - [c42]Tien Thanh Nguyen, Alan Wee-Chung Liew, Minh Toan Tran, Mai Phuong Nguyen:
Combining Classifiers Based on Gaussian Mixture Model Approach to Ensemble Data. ICMLC (CCIS volume) 2014: 3-12 - [c41]Tien Thanh Nguyen, Alan Wee-Chung Liew, Xuan Cuong Pham, Mai Phuong Nguyen:
Optimization of ensemble classifier system based on multiple objectives genetic algorithm. ICMLC 2014: 46-51 - [c40]Tien Thanh Nguyen, Alan Wee-Chung Liew, Minh Toan Tran, Thi Thu Thuy Nguyen, Mai Phuong Nguyen:
Fusion of Classifiers Based on a Novel 2-Stage Model. ICMLC (CCIS volume) 2014: 60-68 - [c39]Cuong To, Tien Thanh Nguyen, Alan Wee-Chung Liew:
A Hough Transform-Based Biclustering Algorithm for Gene Expression Data. ICMLC (CCIS volume) 2014: 97-106 - [c38]Rupam Deb, Alan Wee-Chung Liew:
Missing Value Imputation for the Analysis of Incomplete Traffic Accident Data. ICMLC (CCIS volume) 2014: 275-286 - [c37]Tien Thanh Nguyen, Alan Wee-Chung Liew, Cuong To, Xuan Cuong Pham, Mai Phuong Nguyen:
Fuzzy If-Then Rules Classifier on Ensemble Data. ICMLC (CCIS volume) 2014: 362-370 - [c36]Maedeh Beheshti, Alan Wee-Chung Liew:
Image Segmentation Based on Graph-Cut Models and Probabilistic Graphical Models: A Comparative Study. ICMLC (CCIS volume) 2014: 371-378 - [c35]Cuong To, Alan Wee-Chung Liew:
Genetic algorithm based detection of general linear biclusters. ICMLC 2014: 550-555 - [c34]Xiaosheng Pan, Menghan Zhang, Alan Wee-Chung Liew:
Definition and extraction of lip protrusion based on the facial skeleton data. ISCSLP 2014: 362 - [c33]Rupam Deb, Alan Wee-Chung Liew, Erwin Oh:
A Correlation Based Imputation Method for Incomplete Traffic Accident Data. PRICAI 2014: 905-912 - 2013
- [j33]Surani Anuradha Jayasuriya, Alan Wee-Chung Liew, Ngai-Fong Law:
Brain symmetry plane detection based on fractal analysis. Comput. Medical Imaging Graph. 37(7-8): 568-580 (2013) - [j32]Hamidreza Khataee, M. Yousef Ibrahim, Alan Wee-Chung Liew:
Flexible Autonomous Behaviors of Kinesin and Muscle Myosin Bio-Nanorobots. IEEE Trans. Ind. Electron. 60(11): 5116-5123 (2013) - [c32]Surani Anuradha Jayasuriya, Alan Wee-Chung Liew:
A modified Fuzzy C-means algorithm with symmetry information for MR brain image segmentation. ICICS 2013: 1-5 - [c31]Surani Anuradha Jayasuriya, Alan Wee-Chung Liew:
Symmetry incorporated fuzzy c-means method for image segmentation. FUZZ-IEEE 2013: 1-7 - [c30]Surani Anuradha Jayasuriya, Alan Wee-Chung Liew:
Fractal Analysis for Symmetry Plane Detection in Neuroimages. IbPRIA 2013: 181-188 - [c29]Amin Gharipour, Alan Wee-Chung Liew:
Colon Cell Image Segmentation Based on Level Set and Kernel-Based Fuzzy Clustering. ICIC (2) 2013: 120-129 - 2012
- [j31]Shi-Lin Wang, Alan Wee-Chung Liew:
Physiological and behavioral lip biometrics: A comprehensive study of their discriminative power. Pattern Recognit. 45(9): 3328-3335 (2012) - [j30]Qinghua Huang, Dacheng Tao, Xuelong Li, Alan Wee-Chung Liew:
Parallelized Evolutionary Learning for Detection of Biclusters in Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 9(2): 560-570 (2012) - [c28]Xin-Wen Wu, Alan Wee-Chung Liew:
Near-Optimal Collusion-Secure Fingerprinting Codes for Efficiently Tracing Illegal Re-distribution. CSS 2012: 352-361 - [c27]Surani Anuradha Jayasuriya, Alan Wee-Chung Liew:
Fractal dimension as a symmetry measure in 3D brain MRI analysis. ICMLC 2012: 1118-1123 - [c26]Alan Wee-Chung Liew, Jun Jo, Yong-Sik Chun, Tae-Hong Ahn, Tae Byong Chae:
Image enhancement by wavelet multi-scale edge statistics. ICPR 2012: 2025-2028 - 2011
- [j29]Alan Wee-Chung Liew, Ngai-Fong Law, Hong Yan:
Missing value imputation for gene expression data: computational techniques to recover missing data from available information. Briefings Bioinform. 12(5): 498-513 (2011) - 2010
- [j28]Jia Zeng, Shanfeng Zhu, Alan Wee-Chung Liew, Hong Yan:
Multiconstrained gene clustering based on generalized projections. BMC Bioinform. 11: 164 (2010) - [j27]Benson S. Y. Lam, Yongsheng Gao, Alan Wee-Chung Liew:
General Retinal Vessel Segmentation Using Regularization-Based Multiconcavity Modeling. IEEE Trans. Medical Imaging 29(7): 1369-1381 (2010)
2000 – 2009
- 2009
- [j26]Alan Wee-Chung Liew, Ngai-Fong Law, Xiao-Qin Cao, Hong Yan:
Statistical power of Fisher test for the detection of short periodic gene expression profiles. Pattern Recognit. 42(4): 549-556 (2009) - [c25]Benson S. Y. Lam, Yongsheng Gao, Alan Wee-Chung Liew:
Optimizing Sharpness Measure for Bright Lesion Detection in Retinal Image Analysis. DICTA 2009: 19-24 - [c24]Alan Wee-Chung Liew, Hong Yan:
Reliable Detection of Short Periodic Gene Expression Time Series Profiles in DNA Microarray Data. SMC 2009: 4274-4279 - [r1]Alan Wee-Chung Liew, Ngai-Fong Law, Hong Yan:
Cluster Analysis of Gene Expression Data. Encyclopedia of Artificial Intelligence 2009: 289-296 - 2008
- [j25]Kin-On Cheng, Ngai-Fong Law, Wan-Chi Siu, Alan Wee-Chung Liew:
Identification of coherent patterns in gene expression data using an efficient biclustering algorithm and parallel coordinate visualization. BMC Bioinform. 9 (2008) - [j24]Xiangchao Gan, Alan Wee-Chung Liew, Hong Yan:
Discovering biclusters in gene expression data based on high-dimensional linear geometries. BMC Bioinform. 9 (2008) - [j23]Liping Du, Shuanhu Wu, Alan Wee-Chung Liew, David K. Smith, Hong Yan:
Spectral analysis of microarray gene expression time series data of Plasmodium falciparum. Int. J. Bioinform. Res. Appl. 4(3): 337-349 (2008) - [j22]Shi-Lin Wang, Alan Wee-Chung Liew, Wing Hong Lau, S. H. Leung:
An Automatic Lipreading System for Spoken Digits With Limited Training Data. IEEE Trans. Circuits Syst. Video Technol. 18(12): 1760-1765 (2008) - [j21]Benson S. Y. Lam, Alan Wee-Chung Liew, David K. Smith, Hong Yan:
A Regularized Clustering Algorithm Based on Calculus of Variations. J. Signal Process. Syst. 50(3): 281-292 (2008) - [c23]Junru Wu, Xiaosheng Pan, Jiangping Kong, Alan Wee-Chung Liew:
Statistical correlation analysis between lip contour parameters and formant parameters for Mandarin monophthongs. AVSP 2008: 121-126 - [c22]Shi-Lin Wang, Alan Wee-Chung Liew:
Static and dynamic lip feature analysis for speaker verification. AVSP 2008: 223-227 - 2007
- [j20]Alan Wee-Chung Liew, Jun Xian, Shuanhu Wu, David K. Smith, Hong Yan:
Spectral estimation in unevenly sampled space of periodically expressed microarray time series data. BMC Bioinform. 8 (2007) - [j19]Shi-Lin Wang, Wing Hong Lau, Alan Wee-Chung Liew, Shu Hung Leung:
Robust lip region segmentation for lip images with complex background. Pattern Recognit. 40(12): 3481-3491 (2007) - [c21]Hongya Zhao, Alan Wee-Chung Liew, Hong Yan:
A New Strategy of Geometrical Biclustering for Microarray Data Analysis. APBC 2007: 47-56 - [c20]Shi-Lin Wang, Alan Wee-Chung Liew:
Information-Based Color Feature Representation for Image Classification. ICIP (6) 2007: 353-356 - [c19]Shi-Lin Wang, Alan Wee-Chung Liew:
ICA-Based Lip Feature Representation for Speaker Authentication. SITIS 2007: 763-767 - 2006
- [j18]Xiangchao Gan, Alan Wee-Chung Liew, Hong Yan:
A POCS-based constrained total least squares algorithm for image restoration. J. Vis. Commun. Image Represent. 17(5): 986-1003 (2006) - [c18]Liping Du, Shuanhu Wu, Alan Wee-Chung Liew, David Keith Smith, Hong Yan:
Parametric Spectral Analysis of Malaria Gene Expression Time Series Data. CompLife 2006: 32-41 - [c17]Xiangchao Gan, Alan Wee-Chung Liew, Hong Yan:
Detecting Periodically Expressed Genes based on Time-frequency Analysis and L-curve Method. ICPR (2) 2006: 654-657 - [c16]Xiangchao Gan, Alan Wee-Chung Liew, Hong Yan:
Microarray Missing Data Imputation based on a Set Theoretic Framework and Biological Constraints. ICPR (3) 2006: 842-845 - 2005
- [j17]Alan Wee-Chung Liew, Yonghui Wu, Hong Yan, Mengsu Yang:
Effective statistical features for coding and non-coding DNA sequence classification for yeast, C. elegans and human. Int. J. Bioinform. Res. Appl. 1(2): 181-201 (2005) - [j16]Xiangchao Gan, Alan Wee-Chung Liew, Hong Yan:
A smoothness constraint set based on local statistics of BDCT coefficients for image postprocessing. Image Vis. Comput. 23(8): 731-737 (2005) - [j15]John Sy-sen Tang, Alan Wee-Chung Liew, Hong Yan:
Human Face Animation Based on Video Analysis, with Applications to Mobile Entertainment. J. Mobile Multimedia 1(2): 133-148 (2005) - [j14]Alan Wee-Chung Liew, Hong Yan, Mengsu Yang:
Pattern recognition techniques for the emerging field of bioinformatics: A review. Pattern Recognit. 38(11): 2055-2073 (2005) - [j13]Alan Wee-Chung Liew, Hong Yan, Ngai-Fong Law:
POCS-based blocking artifacts suppression using a smoothness constraint set with explicit region modeling. IEEE Trans. Circuits Syst. Video Technol. 15(6): 795-800 (2005) - [j12]Alan Wee-Chung Liew, Hong Yan, Ngai-Fong Law:
Image Segmentation Based on Adaptive Cluster Prototype Estimation. IEEE Trans. Fuzzy Syst. 13(4): 444-453 (2005) - [c15]Shuanhu Wu, Alan Wee-Chung Liew, Hong Yan:
OPTOC-Based Clustering Analysis of Gene Expression Profiles in Spectral Space. ISNN (3) 2005: 709-718 - 2004
- [j11]Lap Kun Yeung, Lap Keung Szeto, Alan Wee-Chung Liew, Hong Yan:
Dominant spectral component analysis for transcriptional regulations using microarray time-series data. Bioinform. 20(5): 742-749 (2004) - [j10]Alan Wee-Chung Liew, Hong Yan:
Blocking artifacts suppression in block-coded images using overcomplete wavelet representation. IEEE Trans. Circuits Syst. Video Technol. 14(4): 450-461 (2004) - [j9]Shuanhu Wu, Alan Wee-Chung Liew, Hong Yan, Mengsu Yang:
Cluster analysis of gene expression data based on self-splitting and merging competitive learning. IEEE Trans. Inf. Technol. Biomed. 8(1): 5-15 (2004) - [j8]Alan Wee-Chung Liew, Lap Keung Szeto, Sy-sen Tang, Hong Yan, Mengsu Yang:
A Computational Approach to Gene Expression Data Extraction and Analysis. J. VLSI Signal Process. 38(3): 237-258 (2004) - [c14]Lap Kun Yeung, Hong Yan, Alan Wee-Chung Liew, Lap Keung Szeto, Michael Yang, Richard Kong:
Measuring Correlation between Microarray Time-series Data using Dominant Spectrum Component. APBC 2004: 309-314 - [c13]Xiangchao Gan, Alan Wee-Chung Liew, Hong Yan:
Image restoration based on constrained total least squares. ICASSP (3) 2004: 201-204 - [c12]Shi-Lin Wang, Wing Hong Lau, Shu Hung Leung, Alan Wee-Chung Liew:
Lip segmentation with the presence of beards. ICASSP (3) 2004: 529-532 - [c11]Alan Wee-Chung Liew, Yonghui Wu, Hong Yan:
Selection of Statistical Features Based on Mutual Information for Classification of Human Coding and Non-coding DNA Sequences. ICPR (3) 2004: 766-769 - [c10]Xiangchao Gan, Alan Wee-Chung Liew, Hong Yan:
Missing Microarray Data Estimation Based on Projection onto Convex Sets Method. ICPR (3) 2004: 782-785 - [c9]Sy-sen Tang, Alan Wee-Chung Liew, Hong Yan:
Lip-Sync in Human Face Animation Based on Video Analysis and Spline Models. MMM 2004: 102-108 - 2003
- [j7]Xiangchao Gan, Alan Wee-Chung Liew, Hong Yan:
Blocking artifact reduction in compressed images based on edge-adaptive quadrangle meshes. J. Vis. Commun. Image Represent. 14(4): 492-507 (2003) - [j6]Alan Wee-Chung Liew, Hong Yan, Mengsu Yang:
Robust adaptive spot segmentation of DNA microarray images. Pattern Recognit. 36(5): 1251-1254 (2003) - [j5]Alan Wee-Chung Liew, Shu Hung Leung, Wing Hong Lau:
Segmentation of color lip images by spatial fuzzy clustering. IEEE Trans. Fuzzy Syst. 11(4): 542-549 (2003) - [j4]Alan Wee-Chung Liew, Hong Yan:
An Adaptive Spatial Fuzzy Clustering Algorithm for 3D MR Image Segmentation. IEEE Trans. Medical Imaging 22(9): 1063-1075 (2003) - [j3]Lap Keung Szeto, Alan Wee-Chung Liew, Hong Yan, Sy-sen Tang:
Gene expression data clustering and visualization based on a binary hierarchical clustering framework. J. Vis. Lang. Comput. 14(4): 341-362 (2003) - [c8]Lap Keung Szeto, Alan Wee-Chung Liew, Hong Yan, Sy-sen Tang:
Gene Expression Data Clustering and Visualization Based on a Binary Heirarchical Clustering Framework. APBC 2003: 145-152 - [c7]Alan Wee-Chung Liew, Hong Yan:
Adaptive fuzzy segmentation of 3D MR brain images. FUZZ-IEEE 2003: 978-983 - 2002
- [j2]Alan Wee-Chung Liew, Shu Hung Leung, Wing Hong Lau:
Lip contour extraction from color images using a deformable model. Pattern Recognit. 35(12): 2949-2962 (2002) - [j1]Chaminda Weerasinghe, Alan Wee-Chung Liew, Hong Yan:
Artifact reduction in compressed images based on region homogeneity constraints using the projection onto convex sets algorithm. IEEE Trans. Circuits Syst. Video Technol. 12(10): 891-897 (2002) - 2001
- [c6]Alan Wee-Chung Liew, Hong Yan:
Adaptive Spatially Constrained Fuzzy Clustering for Image Segmentation. FUZZ-IEEE 2001: 801-804 - [c5]K. L. Sum, Wing Hong Lau, S. H. Leung, Alan Wee-Chung Liew, K. W. Tse:
A new optimization procedure for extracting the point-based lip contour using active shape model. ICASSP 2001: 1485-1488 - [c4]Ngai-Fong Law, Alan Wee-Chung Liew, Wan-Chi Siu:
Fast algorithm for binary field wavelet transform for image processing. ICIP (2) 2001: 281-284 - [c3]Alan Wee-Chung Liew, Hong Yan:
An Adaptive Fuzzy Clustering Algorithm for Medical Image Segmentation. MIAR 2001: 272-277 - 2000
- [c2]Alan Wee-Chung Liew, Shu Hung Leung, Wing Hong Lau:
LIP Contour Extraction Using a Deformable Model. ICIP 2000: 255-258
1990 – 1999
- 1999
- [c1]Alan Wee-Chung Liew, K. L. Sum, S. H. Leung, Wing Hong Lau:
Fuzzy segmentation of lip image using cluster analysis. EUROSPEECH 1999: 335-338
Coauthor Index
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