Kezhi Mao

According to our database, Kezhi Mao authored at least 118 papers between 1998 and 2024.

Collaborative distances:

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

2024

Self-Supervised Video Representation Learning by Video Incoherence Detection.

Haozhi Cao, Yuecong Xu, Kezhi Mao, Lihua Xie, Jianxiong Yin, Simon See, Qianwen Xu, Jianfei Yang

IEEE Trans. Cybern., June, 2024

Reinforced Knowledge Distillation for Time Series Regression.

Qing Xu, Keyu Wu, Min Wu, Kezhi Mao, Xiaoli Li, Zhenghua Chen

IEEE Trans. Artif. Intell., June, 2024

Aligning Correlation Information for Domain Adaptation in Action Recognition.

Yuecong Xu, Haozhi Cao, Kezhi Mao, Zhenghua Chen, Lihua Xie, Jianfei Yang

IEEE Trans. Neural Networks Learn. Syst., May, 2024

Explicit and implicit knowledge-enhanced model for event causality identification.

Siyuan Chen, Kezhi Mao

Expert Syst. Appl., March, 2024

Adaptive micro- and macro-knowledge incorporation for hierarchical text classification.

Zijian Feng, Kezhi Mao, Hanzhang Zhou

Expert Syst. Appl., 2024

MICL: Improving In-Context Learning through Multiple-Label Words in Demonstration.

Zixiao Zhu, Zijian Feng, Hanzhang Zhou, Junlang Qian, Kezhi Mao

CoRR, 2024

UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation.

Hanzhang Zhou, Zijian Feng, Zixiao Zhu, Junlang Qian, Kezhi Mao

CoRR, 2024

EDEntail: An Entailment-based Few-shot Text Classification with Extensional Definition.

Zixiao Zhu, Junlang Qian, Zijian Feng, Hanzhang Zhou, Kezhi Mao

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

GAM-Depth: Self-Supervised Indoor Depth Estimation Leveraging a Gradient-Aware Mask and Semantic Constraints.

Anqi Cheng, Zhiyuan Yang, Haiyue Zhu, Kezhi Mao

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Unveiling and Manipulating Prompt Influence in Large Language Models.

Zijian Feng, Hanzhang Zhou, Zixiao Zhu, Junlang Qian, Kezhi Mao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

PromptExplainer: Explaining Language Models through Prompt-based Learning.

Zijian Feng, Hanzhang Zhou, Zixiao Zhu, Kezhi Mao

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument Extraction.

Hanzhang Zhou, Junlang Qian, Zijian Feng, Hui Lu, Zixiao Zhu, Kezhi Mao

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

FreeCtrl: Constructing Control Centers with Feedforward Layers for Learning-Free Controllable Text Generation.

Zijian Feng, Hanzhang Zhou, Kezhi Mao, Zixiao Zhu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Knowledge-based BERT word embedding fine-tuning for emotion recognition.

Zixiao Zhu, Kezhi Mao

Neurocomputing, October, 2023

Feature-aware conditional GAN for category text generation.

Xinze Li, Kezhi Mao, Fanfan Lin, Zijian Feng

Neurocomputing, August, 2023

A graph attention network utilizing multi-granular information for emotion-cause pair extraction.

Siyuan Chen, Kezhi Mao

Neurocomputing, July, 2023

Heuristics-Driven Link-of-Analogy Prompting: Enhancing Large Language Models for Document-Level Event Argument Extraction.

Hanzhang Zhou, Junlang Qian, Zijian Feng, Hui Lu, Zixiao Zhu, Kezhi Mao

CoRR, 2023

Artificial-Intelligence-Based Triple Phase Shift Modulation for Dual Active Bridge Converter with Minimized Current Stress.

Xinze Li, Xin Zhang, Fanfan Lin, Changjiang Sun, Kezhi Mao

CoRR, 2023

Artificial-Intelligence-Based Hybrid Extended Phase Shift Modulation for the Dual Active Bridge Converter with Full ZVS Range and Optimal Efficiency.

Xinze Li, Xin Zhang, Fanfan Lin, Changjiang Sun, Kezhi Mao

CoRR, 2023

Confidence Attention and Generalization Enhanced Distillation for Continuous Video Domain Adaptation.

Xiyu Wang, Yuecong Xu, Jianfei Yang, Kezhi Mao, Xiaoli Li, Zhenghua Chen

CoRR, 2023

Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data.

Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Closed Boundary Learning for Classification Tasks with the Universum Class.

Hanzhang Zhou, Zijian Feng, Kezhi Mao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

RF-HoDRF: High-Order Hybrid Discriminative Random Field Improved by Two-Layer Random Forest for SAR Image Change Detection.

Wanying Song, Yu Du, Yan Wu, Peng Zhang, Kezhi Mao

IEEE Geosci. Remote. Sens. Lett., 2022

A novel end-to-end neural network for simultaneous filtering of task-unrelated named entities and fine-grained typing of task-related named entities.

Qi Li, Kezhi Mao, Pengfei Li, Yuecong Xu, Edmond Yat-Man Lo

Expert Syst. Appl., 2022

Tailored text augmentation for sentiment analysis.

Zijian Feng, Hanzhang Zhou, Zixiao Zhu, Kezhi Mao

Expert Syst. Appl., 2022

Document-Level Event Argument Extraction by Leveraging Redundant Information and Closed Boundary Loss.

Hanzhang Zhou, Kezhi Mao

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Calibrating Class Weights with Multi-Modal Information for Partial Video Domain Adaptation.

Xiyu Wang, Yuecong Xu, Jianfei Yang, Kezhi Mao

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

A Comparative Study on Machine Learning algorithms for Knowledge Discovery.

Siddesh Sambasivam Suseela, Feng Yang, Kezhi Mao

Proceedings of the 17th International Conference on Control, 2022

2021

Effective action recognition with embedded key point shifts.

Haozhi Cao, Yuecong Xu, Jianfei Yang, Kezhi Mao, Jianxiong Yin, Simon See

Pattern Recognit., 2021

PNL: Efficient long-range dependencies extraction with pyramid non-local module for action recognition.

Yuecong Xu, Haozhi Cao, Jianfei Yang, Kezhi Mao, Jianxiong Yin, Simon See

Neurocomputing, 2021

Particle swarm optimization with state-based adaptive velocity limit strategy.

Xinze Li, Kezhi Mao, Fanfan Lin, Xin Zhang

Neurocomputing, 2021

Exploiting inter-frame regional correlation for efficient action recognition.

Yuecong Xu, Jianfei Yang, Kezhi Mao, Jianxiong Yin, Simon See

Expert Syst. Appl., 2021

Self-Supervised Video Representation Learning by Video Incoherence Detection.

Haozhi Cao, Yuecong Xu, Jianfei Yang, Kezhi Mao, Lihua Xie, Jianxiong Yin, Simon See

CoRR, 2021

Aligning Correlation Information for Domain Adaptation in Action Recognition.

Yuecong Xu, Jianfei Yang, Haozhi Cao, Kezhi Mao, Jianxiong Yin, Simon See

CoRR, 2021

Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network.

Yuecong Xu, Jianfei Yang, Haozhi Cao, Zhenghua Chen, Qi Li, Kezhi Mao

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

ACT: an Attentive Convolutional Transformer for Efficient Text Classification.

Pengfei Li, Peixiang Zhong, Kezhi Mao, Dongzhe Wang, Xuefeng Yang, Yunfeng Liu, Jianxiong Yin, Simon See

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Bag-of-Concepts representation for document classification based on automatic knowledge acquisition from probabilistic knowledge base.

Pengfei Li, Kezhi Mao, Yuecong Xu, Qi Li, Jiaheng Zhang

Knowl. Based Syst., 2020

Improving convolutional neural network for text classification by recursive data pruning.

Qi Li, Pengfei Li, Kezhi Mao, Edmond Yat-Man Lo

Neurocomputing, 2020

ARID: A New Dataset for Recognizing Action in the Dark.

Yuecong Xu, Jianfei Yang, Haozhi Cao, Kezhi Mao, Jianxiong Yin, Simon See

CoRR, 2020

Convolutional Transformer with Sentiment-aware Attention for Sentiment Analysis.

Pengfei Li, Peixiang Zhong, Jiaheng Zhang, Kezhi Mao

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Learning Semantic Text Features for Web Text-Aided Image Classification.

Dongzhe Wang, Kezhi Mao

IEEE Trans. Multim., 2019

Semantic-filtered Soft-Split-Aware video captioning with audio-augmented feature.

Yuecong Xu, Jianfei Yang, Kezhi Mao

Neurocomputing, 2019

Enhanced feature fusion through irrelevant redundancy elimination in intra-class and extra-class discriminative correlation analysis.

Zuobin Wu, Kezhi Mao, Gee Wah Ng

Neurocomputing, 2019

Task-generic semantic convolutional neural network for web text-aided image classification.

Dongzhe Wang, Kezhi Mao

Neurocomputing, 2019

Knowledge-oriented convolutional neural network for causal relation extraction from natural language texts.

Pengfei Li, Kezhi Mao

Expert Syst. Appl., 2019

Improving Relation Extraction with Knowledge-attention.

Pengfei Li, Kezhi Mao, Xuefeng Yang, Qi Li

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Machine Health Monitoring Using Local Feature-Based Gated Recurrent Unit Networks.

Rui Zhao, Dongzhe Wang, Ruqiang Yan, Kezhi Mao, Fei Shen, Jinjiang Wang

IEEE Trans. Ind. Electron., 2018

Fuzzy Bag-of-Words Model for Document Representation.

Rui Zhao, Kezhi Mao

IEEE Trans. Fuzzy Syst., 2018

Hough Transform Implementation For Event-Based Systems: Concepts and Challenges.

Sajjad Seifozzakerini, Wei-Yun Yau, Kezhi Mao, Hossein Nejati

Frontiers Comput. Neurosci., 2018

Feature Regrouping for CCA - Based Feature Fusion and Extraction Through Normalized Cut.

Zuobin Wu, Kezhi Mao, Gee Wah Ng

Proceedings of the 21st International Conference on Information Fusion, 2018

Multimodal Object Classification Using Bidirectional Gated Recurrent Unit Networks.

Dongzhe Wang, Kezhi Mao

Proceedings of the Third IEEE International Conference on Data Science in Cyberspace, 2018

2017

Building Occupancy Estimation with Environmental Sensors via CDBLSTM.

Zhenghua Chen, Rui Zhao, Qingchang Zhu, Mustafa K. Masood, Yeng Chai Soh, Kezhi Mao

IEEE Trans. Ind. Electron., 2017

Topic-Aware Deep Compositional Models for Sentence Classification.

Rui Zhao, Kezhi Mao

IEEE ACM Trans. Audio Speech Lang. Process., 2017

Task Independent Fine Tuning for Word Embeddings.

Xuefeng Yang, Kezhi Mao

IEEE ACM Trans. Audio Speech Lang. Process., 2017

Cyberbullying Detection Based on Semantic-Enhanced Marginalized Denoising Auto-Encoder.

Rui Zhao, Kezhi Mao

IEEE Trans. Affect. Comput., 2017

Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks.

Rui Zhao, Ruqiang Yan, Jinjiang Wang, Kezhi Mao

Sensors, 2017

Effect of Inhibitory Window on Event-Based Hough Transform for Multiple Lines Detection.

Sajjad Seifozzakerini, Wei-Yun Yau, Kezhi Mao

Proceedings of the International Conference on Advances in Image Processing, 2017

Effective feature fusion for pattern classification based on intra-class and extra-class discriminative correlation analysis.

Zuobin Wu, Kezhi Mao, Gee Wah Ng

Proceedings of the 20th International Conference on Information Fusion, 2017

Convolutional neural networks and multimodal fusion for text aided image classification.

Dongzhe Wang, Kezhi Mao, Gee Wah Ng

Proceedings of the 20th International Conference on Information Fusion, 2017

2016

A New Probabilistic Kernel Factor Analysis for Multisensory Data Fusion: Application to Tool Condition Monitoring.

Jinjiang Wang, Junyao Xie, Rui Zhao, Kezhi Mao, Laibin Zhang

IEEE Trans. Instrum. Meas., 2016

Learning multi-prototype word embedding from single-prototype word embedding with integrated knowledge.

Xuefeng Yang, Kezhi Mao

Expert Syst. Appl., 2016

Deep Learning and Its Applications to Machine Health Monitoring: A Survey.

Rui Zhao, Ruqiang Yan, Zhenghua Chen, Kezhi Mao, Peng Wang, Robert X. Gao

CoRR, 2016

Automatic detection of cyberbullying on social networks based on bullying features.

Rui Zhao, Anna Zhou, Kezhi Mao

Proceedings of the 17th International Conference on Distributed Computing and Networking, 2016

Constructing Bayesian networks by harvesting knowledge from online resources.

Zhibo Xiao, Tharini Nayanika de Silva, Chen Wei, Kezhi Mao, Gee Wah Ng

Proceedings of the 19th International Conference on Information Fusion, 2016

Adaptive multimodal fusion with web resources for scene classification.

Dongzhe Wang, Kezhi Mao, Gee Wah Ng, Tien Pham

Proceedings of the 19th International Conference on Information Fusion, 2016

Event-Based Hough Transform in a Spiking Neural Network for Multiple Line Detection and Tracking Using a Dynamic Vision Sensor.

Sajjad Seifozzakerini, Wei-Yun Yau, Bo Zhao, Kezhi Mao

Proceedings of the British Machine Vision Conference 2016, 2016

2015

Emphasizing Minority Class in LDA for Feature Subset Selection on High-Dimensional Small-Sized Problems.

Feng Yang, Ke Zhi Mao, Gary Kee Khoon Lee, Wenyin Tang

IEEE Trans. Knowl. Data Eng., 2015

Supervised Fine Tuning for Word Embedding with Integrated Knowledge.

Xuefeng Yang, Kezhi Mao

CoRR, 2015

Semi-Random Projection for Dimensionality Reduction and Extreme Learning Machine in High-Dimensional Space.

Rui Zhao, Kezhi Mao

IEEE Comput. Intell. Mag., 2015

Improving scene classification by fusion of training data and web resources.

Dongzhe Wang, Kezhi Mao, Gee Wah Ng

Proceedings of the 18th International Conference on Information Fusion, 2015

Regularized training of compositional distributional semantic models.

Xuefeng Yang, Kezhi Mao, Rui Zhao

Proceedings of the 10th International Conference on Information, 2015

Distributional sentence representation by expert knowledge for causal relation identification.

Xuefeng Yang, Kezhi Mao, Rui Zhao

Proceedings of the 10th International Conference on Information, 2015

2014

Multi level causal relation identification using extended features.

Xuefeng Yang, Kezhi Mao

Expert Syst. Appl., 2014

Supervised Adaptive-Transfer PLSA for Cross-Domain Text Classification.

Rui Zhao, Kezhi Mao

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Semantic-level fusion of heterogenous sensor network and other sources based on Bayesian network.

Kui Wu, Wenyin Tang, Ke Zhi Mao, Gee Wah Ng, Lee Onn Mak

Proceedings of the 17th International Conference on Information Fusion, 2014

2013

Model-Based Online Learning With Kernels.

Guoqi Li, Changyun Wen, Zhengguo Li, Aimin Zhang, Feng Yang, Kezhi Mao

IEEE Trans. Neural Networks Learn. Syst., 2013

Improving robustness of gene ranking by multi-criterion combination with novel gene importance transformation.

Feng Yang, Ke Zhi Mao

Int. J. Data Min. Bioinform., 2013

Extreme Learning Machines.

Erik Cambria, Guang-Bin Huang, Liyanaarachchi Lekamalage Chamara Kasun, Hongming Zhou, Chi-Man Vong, Jiarun Lin, Jianping Yin, Zhiping Cai, Qiang Liu, Kuan Li, Victor C. M. Leung, Liang Feng, Yew-Soon Ong, Meng-Hiot Lim, Anton Akusok, Amaury Lendasse, Francesco Corona, Rui Nian, Yoan Miche, Paolo Gastaldo, Rodolfo Zunino, Sergio Decherchi, Xuefeng Yang, Kezhi Mao, Beom-Seok Oh, Je-Hyoung Jeon, Kar-Ann Toh, Andrew Beng Jin Teoh, Jaihie Kim, Hanchao Yu, Yiqiang Chen, Junfa Liu

IEEE Intell. Syst., 2013

Learning imbalanced classes in the presence of concept growth.

Wing Yee Sit, Ke Zhi Mao

Proceedings of the 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2013

A rule-plus-exemplar classification system for adapting to concept growth.

Wing Yee Sit, Ke Zhi Mao

Proceedings of the 2013 IEEE International Conference on Cybernetics, 2013

2012

Adaptive Fuzzy Rule-Based Classification System Integrating Both Expert Knowledge and Data.

Wenyin Tang, Ke Zhi Mao, Lee Onn Mak, Gee Wah Ng

Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

A cognitively inspired rule-plus-exemplar framework for interpretable pattern classification.

Wing Yee Sit, Kezhi Mao

Proceedings of the 15th International Conference on Information Fusion, 2012

Cognitively inspired classification for adapting to data distribution changes.

Wing Yee Sit, Kezhi Mao

Proceedings of the 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2012

2011

Robust Feature Selection for Microarray Data Based on Multicriterion Fusion.

Feng Yang, Kezhi Mao

IEEE ACM Trans. Comput. Biol. Bioinform., 2011

Recursive Mahalanobis Separability Measure for Gene Subset Selection.

Kezhi Mao, Wenyin Tang

IEEE ACM Trans. Comput. Biol. Bioinform., 2011

Target classification using knowledge-based probabilistic model.

Wenyin Tang, Ke Zhi Mao, Lee Onn Mak, Gee Wah Ng, Zhaoyang Sun, Ji Hua Ang, Godfrey Lim

Proceedings of the 14th International Conference on Information Fusion, 2011

A merging Fuzzy ART clustering algorithm for overlapping data.

Lee Onn Mak, Gee Wah Ng, Godfrey Lim, Kezhi Mao

Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2011

Regularized linear discriminant analysis and its recursive implementation for gene subset selection.

Ke Zhi Mao, Feng Yang, Wenyin Tang

Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2011

Gabor filter and eigen-flame image-based burning state recognition for sintering process of rotary kiln.

Weitao Li, Kezhi Mao, Tianyou Chai, Hong Zhang, Hong Wang

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010

Selection of Gabor filters for improved texture feature extraction.

Weitao Li, Kezhi Mao, Hong Zhang, Tianyou Chai

Proceedings of the International Conference on Image Processing, 2010

Designing compact Gabor filter banks for efficient texture feature extraction.

Weitao Li, Kezhi Mao, Hong Zhang, Tianyou Chai

Proceedings of the 11th International Conference on Control, 2010

Classification for overlapping classes using optimized overlapping region detection and soft decision.

Wenyin Tang, Ke Zhi Mao, Lee Onn Mak, Gee Wah Ng

Proceedings of the 13th Conference on Information Fusion, 2010

Improving robustness of gene ranking by resampling and permutation based score correction and normalization.

Feng Yang, Ke Zhi Mao

Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

2009

Eigen-flame image-based robust recognition of burning states for sintering process control of rotary kiln.

Weitao Li, Kezhi Mao, Xiaojie Zhou, Tianyou Chai, Hong Zhang

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Entropy-based Criteria Dealing with the Ties Problem in Gene Selection.

Feng Yang, Ke Zhi Mao

Proceedings of the 8th IEEE/ACIS International Conference on Computer and Information Science, 2009

2008

An impulsive noise color image filter using learning-based color morphological operations.

Hao Zhou, Ke Zhi Mao

Digit. Signal Process., 2008

Fast Gene Selection for Microarray Data Using SVM-Based Evaluation Criterion.

Xin Zhou, Xinyu Wu, Ke Zhi Mao, David P. Tuck

Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

2007

Feature selection algorithm for mixed data with both nominal and continuous features.

Wenyin Tang, Ke Zhi Mao

Pattern Recognit. Lett., 2007

Correlation-Based Relevancy and Redundancy Measures for Efficient Gene Selection.

Kezhi Mao, Wenyin Tang

Proceedings of the Pattern Recognition in Bioinformatics, 2007

2006

Can threshold networks be trained directly?

Guang-Bin Huang, Qin-Yu Zhu, Kezhi Mao, Chee Kheong Siew, Paramasivan Saratchandran, Narasimhan Sundararajan

IEEE Trans. Circuits Syst. II Express Briefs, 2006

Supervised learning-based cell image segmentation for P53 immunohistochemistry.

Ke Zhi Mao, Peng Zhao, Puay-Hoon Tan

IEEE Trans. Biomed. Eng., 2006

Regularization Network-based Gene Selection for Microarray Data Analysis.

Xin Zhou, Ke Zhi Mao

Int. J. Neural Syst., 2006

The ties problem resulting from counting-based error estimators and its impact on gene selection algorithms.

Xin Zhou, Ke Zhi Mao

Bioinform., 2006

2005

Identifying critical variables of principal components for unsupervised feature selection.

Ke Zhi Mao

IEEE Trans. Syst. Man Cybern. Part B, 2005

Neuron selection for RBF neural network classifier based on data structure preserving criterion.

Ke Zhi Mao, Guang-Bin Huang

IEEE Trans. Neural Networks, 2005

Fast Modular network implementation for support vector machines.

Guang-Bin Huang, Ke Zhi Mao, Chee Kheong Siew, De-Shuang Huang

IEEE Trans. Neural Networks, 2005

LS Bound based gene selection for DNA microarray data.

Xin Zhou, Ke Zhi Mao

Bioinform., 2005

Feature Selection Algorithm for Data with Both Nominal and Continuous Features.

Wenyin Tang, Kezhi Mao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

Marker Detection for Watershed Algorithm Using Both Intensity and Shape Information: Applied to Cell Image Segmentation.

Puay-Hoon Tan, Ke Zhi Mao, Peng Zhao

Proceedings of The 2005 International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences, 2005

Gene Selection of DNA Microarray Data Based on Regularization Networks.

Xin Zhou, Kezhi Mao

Proceedings of the Intelligent Data Engineering and Automated Learning, 2005

2004

Orthogonal forward selection and backward elimination algorithms for feature subset selection.

Kezhi Mao

IEEE Trans. Syst. Man Cybern. Part B, 2004

Feature subset selection for support vector machines through discriminative function pruning analysis.

Ke Zhi Mao

IEEE Trans. Syst. Man Cybern. Part B, 2004

2002

Fast orthogonal forward selection algorithm for feature subset selection.

Ke Zhi Mao

IEEE Trans. Neural Networks, 2002

RBF neural network center selection based on Fisher ratio class separability measure.

Ke Zhi Mao

IEEE Trans. Neural Networks, 2002

A Global Transformation Approach to RBF Neural Network Learning.

Kar-Ann Toh, Ke Zhi Mao

Proceedings of the 16th International Conference on Pattern Recognition, 2002

2000

Probabilistic neural-network structure determination for pattern classification.

Ke Zhi Mao, Kah-Chye Tan, Wee Ser

IEEE Trans. Neural Networks Learn. Syst., 2000

1999

A regularized rational model estimation algorithm.

Ke Zhi Mao, S. A. Billings, Q. M. Zhu

Int. J. Syst. Sci., 1999

1998

Structure detection for nonlinear rational models using genetic algorithms.

S. A. Billings, Ke Zhi Mao

Int. J. Syst. Sci., 1998