An Optimization Method For The Topological Structures Of Feed-Forward Multi-Layer Neural Networks. - Daqi Gao; Wu Shouyi (Pattern Recognit., 1998)

Combinative neural-network-based classifiers for optical handwritten character and letter recognition. - Daqi Gao; Chao Xie; Guiping Nie (IJCNN, 2003)

On the transformation mechanisms of multilayer perceptrons with sigmoid activation functions for classifications. - Daqi Gao; Haijun Zhu; Guping Nie (IJCNN, 2003)

Influences of variable scales and activation functions on the performances of multilayer feedforward neural networks. - Daqi Gao; Yang Genxing (Pattern Recognit., 2003)

Frequency domain analysis based RBF networks and their applications to function approximations. - Daqi Gao; Ji Yan; Changwu Li (IJCNN, 2004)

Adaptive task decomposition and modular multilayer perceptrons for letter recognition. - Daqi Gao; Renliang Li; Guiping Nie; Changwu Li (IJCNN, 2004)

Simultaneous estimation of odor classes and concentrations using an electronic nose. - Daqi Gao; Qin Miao; Guiping Nie (IJCNN, 2004)

Fuzzily Modular Multilayer Perceptron Classifiers for Large-Scale Learning Problems. - Daqi Gao; Yang Yunfan (FUZZ-IEEE, 2005)

Fuzzily modular single-layer RBF neural networks for solving large-scale classification problems. - Daqi Gao; Tong Zhen (FUZZ-IEEE, 2005)

A Kind of Fuzzily Combinative Classifiers for Solving Large-Scale Learning Problems. - Daqi Gao; Shangming Zhu (FUZZ-IEEE, 2005)

A Modular Single-Hidden-Layer Perceptron for Letter Recognition. - Daqi Gao; Shangming Zhu; Wenbing Gu (ICANN (1), 2005)

A combinative function approximation model and its applications to electronic noses. - Daqi Gao; Tong Zhen; Li Yongli (IJCNN, 2005)

A single-layer radial basis function network classifier and its applications. - Daqi Gao; Mingming Chen; Yongli Li (IJCNN, 2005)

An improved kernel Fisher discriminant classifier and its applications. - Daqi Gao; Zhen Wang; Yongli LI (IJCNN, 2005)

A classifier ensemble model and its applications. - Daqi Gao; Shangming Zhu; Wei Chen; Yongli Li (IJCNN, 2005)

Classification methodologies of multilayer perceptrons with sigmoid activation functions. - Daqi Gao; Ji Yan (Pattern Recognit., 2005)

A Mixed Parallel Perceptron Classifier and Several Application problems. - Daqi Gao; Li Hao; Chen Wei (IJCNN, 2006)

Kernel Fisher Discriminants and Kernel Nearest Neighbor Classifiers: A Comparative Study for Large-Scale Learning Problems. - Daqi Gao; Li Jie (IJCNN, 2006)

Parallel-Series Perceptrons for the Simultaneous Determination of Odor Classes and Concentrations. - Daqi Gao; Jianli Sun; Xiaoyan Li (ICANN (2), 2007)

Support vector machine classifiers using RBF kernels with clustering-based centers and widths. - Daqi Gao; Tao Zhang (IJCNN, 2007)

Class-modular multi-layer perceptions, task decomposition and virtually balanced training subsets. - Daqi Gao; Wei Wang; Jianliang Gao (IJCNN, 2007)

Function approximation model ensembles and their application to the simultaneous determination of sample categories and positions. - Daqi Gao; Xiaoning Sun (IJCNN, 2007)

Task decomposition and modular single-hidden-layer perceptron classifiers for multi-class learning problems. - Daqi Gao; Li Chunxia; Yang Yunfan (Pattern Recognit., 2007)

Modular neural networks for estimating odor concentrations. - Daqi Gao; Zeping Yang; Jianli Sun (IJCNN, 2008)

Optimization Using a New Bio-inspired Approach. - Xiang Feng; Francis C. M. Lau 001; Daqi Gao (Complex (1), 2009)

Cache Allocation in CDN: An Evolutionary Game Generalized Particle Model. - Xiang Feng; Francis C. M. Lau 001; Daqi Gao (Complex (2), 2009)

A New Bio-inspired Approach to the Traveling Salesman Problem. - Xiang Feng; Francis C. M. Lau 001; Daqi Gao (Complex (2), 2009)

A Novel Matrix-Pattern-Oriented Ho-Kashyap Classifier with Locally Spatial Smoothness. - Zhe Wang 002; Songcan Chen; Daqi Gao (ISNN (4), 2009)

Discriminant Support Vector Data Description. - Zhe Wang 002; Daqi Gao (IWACI, 2010)

An Effective Support Vector Data Description with Relevant Metric Learning. - Zhe Wang 002; Daqi Gao; Zhisong Pan (ISNN (2), 2010)

A novel multi-view classifier based on Nyström approximation. - Zhe Wang 002; Songcan Chen; Daqi Gao (Expert Syst. Appl., 2011)

A novel multi-view learning developed from single-view patterns. - Zhe Wang 002; Songcan Chen; Daqi Gao (Pattern Recognit., 2011)

Regularized multi-view learning machine based on response surface technique. - Zhe Wang 002; Jin Xu; Songcan Chen; Daqi Gao (Neurocomputing, 2012)

Performance evaluation of multilayer perceptrons for discriminating and quantifying multiple kinds of odors with an electronic nose. - Daqi Gao; Zeping Yang; Chaoqian Cai; Fangjun Liu (Neural Networks, 2012)

Dynamic learning algorithm of multi-layer perceptrons for letter recognition. - Qin Feng; Daqi Gao (IJCNN, 2013)

Iterative learning of Fisher linear discriminants for handwritten digit recognition. - Qin Feng; Daqi Gao (IJCNN, 2013)

ChemMapper: a versatile web server for exploring pharmacology and chemical structure association based on molecular 3D similarity method. - Jiayu Gong; Chaoqian Cai; Xiaofeng Liu 005; Xin Ku; Hualiang Jiang; Daqi Gao; Honglin Li 003 (Bioinform., 2013)

PTID: an integrated web resource and computational tool for agrochemical discovery. - Jiayu Gong; Xiaofeng Liu 005; Xianwen Cao; Yanyan Diao; Daqi Gao; Honglin Li 003; Xuhong Qian (Bioinform., 2013)

A novel multiple Nyström-approximating kernel discriminant analysis. - Zhe Wang 002; Wenbo Jie; Daqi Gao (Neurocomputing, 2013)

SimG: An Alignment Based Method for Evaluating the Similarity of Small Molecules and Binding Sites. - Chaoqian Cai; Jiayu Gong; Xiaofeng Liu 005; Daqi Gao; Honglin Li 003 (J. Chem. Inf. Model., 2013)

Random projection ensemble learning with multiple empirical kernels. - Zhe Wang 002; Wenbo Jie; Songcan Chen; Daqi Gao (Knowl. Based Syst., 2013)

An efficient Kernel-based matrixized least squares support vector machine. - Zhe Wang 002; Xisheng He; Daqi Gao; Xiangyang Xue 001 (Neural Comput. Appl., 2013)

Multiple empirical kernel learning based on local information. - Zhe Wang 002; Jin Xu; Daqi Gao; Yu Fu (Neural Comput. Appl., 2013)

Three-fold structured classifier design based on matrix pattern. - Zhe Wang 002; Changming Zhu; Daqi Gao; Songcan Chen (Pattern Recognit., 2013)

Effective Chinese Organization Name Linking to a List-Like Knowledge Base. - Chengyuan Xue; Haofen Wang; Bo Jin; Mengjie Wang; Daqi Gao (CSWS, 2014)

Globalized and localized matrix-pattern-oriented classification machine. - Zhe Wang 002; Yujin Zhu; Daqi Gao; Weibin Guo (Appl. Soft Comput., 2014)

Resolution of the Gibbs Phenomenon for Fractional Fourier Series. - Hongqing Zhu; Meiyu Ding; Daqi Gao (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2014)

Cost-Sensitive Multi-View Learning Machine. - Zhe Wang 002; Mingzhe Lu; Zengxin Niu; Xiangyang Xue 001; Daqi Gao (Int. J. Pattern Recognit. Artif. Intell., 2014)

Multi-view learning with Universum. - Zhe Wang 002; Yujin Zhu; Wenwen Liu; Zhihua Chen; Daqi Gao (Knowl. Based Syst., 2014)

Multi-kernel classification machine with reduced complexity. - Zhe Wang 002; Changming Zhu; Zengxin Niu; Daqi Gao; Xiang Feng (Knowl. Based Syst., 2014)

Integrated Fisher linear discriminants: An empirical study. - Daqi Gao; Jun Ding; Changming Zhu (Pattern Recognit., 2014)

Threshold optimization of pseudo-inverse linear discriminants based on overall accuracies. - Tian Tian; Ji Wang; Daqi Gao (IJCNN, 2015)

Multiple Empirical Kernel Learning with dynamic pairwise constraints. - Zhe Wang 002; Qi Fan; Daqi Gao (Appl. Soft Comput., 2015)

Globalized and localized canonical correlation analysis with multiple empirical kernel mapping. - Changming Zhu; Zhe Wang 002; Daqi Gao (Neurocomputing, 2015)

Structural multiple empirical kernel learning. - Zhe Wang 002; Qi Fan; Sheng Ke; Daqi Gao (Inf. Sci., 2015)

Double-fold localized multiple matrixized learning machine. - Changming Zhu; Zhe Wang 002; Daqi Gao; Xiang Feng (Inf. Sci., 2015)

MPEKDyL: Efficient multi-partial empirical kernel dynamic learning. - Qi Fan; Zhe Wang 002; Daqi Gao; Dongdong Li (Knowl. Based Syst., 2015)

McMatMHKS: A direct multi-class matrixized learning machine. - Zhe Wang 002; Yun Meng; Yujin Zhu; Qi Fan; Songcan Chen; Daqi Gao (Knowl. Based Syst., 2015)

Multiple Matrix Learning Machine with Five Aspects of Pattern Information. - Changming Zhu; Daqi Gao (Knowl. Based Syst., 2015)

Gravitational fixed radius nearest neighbor for imbalanced problem. - Yujin Zhu; Zhe Wang 002; Daqi Gao (Knowl. Based Syst., 2015)

An Efficient and Effective Multiple Empirical Kernel Learning Based on Random Projection. - Zhe Wang 002; Qi Fan; Wenbo Jie; Daqi Gao (Neural Process. Lett., 2015)

A modified kernel clustering method with multiple factors. - Changming Zhu; Daqi Gao (Pattern Anal. Appl., 2015)

Improved multi-kernel classification machine with Nyström approximation technique. - Changming Zhu; Daqi Gao (Pattern Recognit., 2015)

Matrixized learning machine with modified pairwise constraints. - Yujin Zhu; Zhe Wang 002; Daqi Gao (Pattern Recognit., 2015)

A dynamic data correction algorithm based on polynomial smooth support vector machine. - Dong-Mei Pu; Da-Qi Gao; Yubo Yuan 001 (ICMLC, 2016)

One-sided Dynamic Undersampling No-Propagation Neural Networks for imbalance problem. - Qi Fan; Zhe Wang 002; Daqi Gao (Eng. Appl. Artif. Intell., 2016)

Influence of Data Preprocessing. - Changming Zhu; Daqi Gao (J. Comput. Sci. Eng., 2016)

Multiple empirical kernel learning with locality preserving constraint. - Qi Fan; Daqi Gao; Zhe Wang 002 (Knowl. Based Syst., 2016)

New design goal of a classifier: Global and local structural risk minimization. - Changming Zhu; Zhe Wang 002; Daqi Gao (Knowl. Based Syst., 2016)

Pseudo-inverse linear discriminants for the improvement of overall classification accuracies. - Daqi Gao; Dastagir Ahmed; Lili Guo; Wang Zejian; Wang Zhe (Neural Networks, 2016)

Matrixized Learning Machine with Feature-Clustering Interpolation. - Yujin Zhu; Zhe Wang 002; Daqi Gao (Neural Process. Lett., 2016)

Advanced pseudo-inverse linear discriminants for the improvement of classification accuracies. - Zhichao Jin; Lili Guo; Daqi Gao (IJCNN, 2017)

GMFLLM: A general manifold framework unifying three classic models for dimensionality reduction. - Yujin Zhu; Zhe Wang 002; Daqi Gao; Dongdong Li (Eng. Appl. Artif. Intell., 2017)

Entropy-based fuzzy support vector machine for imbalanced datasets. - Qi Fan; Zhe Wang 002; Dongdong Li; Daqi Gao; Hongyuan Zha (Knowl. Based Syst., 2017)

A novel learning algorithm of single-hidden-layer feedforward neural networks. - Dong-Mei Pu; Da-Qi Gao; Tong Ruan; Yubo Yuan 001 (Neural Comput. Appl., 2017)

Regularized Matrix-Pattern-Oriented Classification Machine with Universum. - Dongdong Li; Yujin Zhu; Zhe Wang 002; Chuanyu Chong; Daqi Gao (Neural Process. Lett., 2017)

MREKLM: A fast multiple empirical kernel learning machine. - Qi Fan; Zhe Wang 002; Hongyuan Zha; Daqi Gao (Pattern Recognit., 2017)

Automatic Severity Classification of Coronary Artery Disease via Recurrent Capsule Network. - Qi Wang 020; Jiahui Qiu; Yangming Zhou; Tong Ruan; Daqi Gao; Ju Gao (BIBM, 2018)

An Attention-based BI-GRU-CapsNet Model for Hypernymy Detection between Compound Entities. - Qi Wang 020; Chenming Xu; Yangming Zhou; Tong Ruan; Daqi Gao; Ping He (BIBM, 2018)

Recurrent Capsule Network for Relations Extraction: A Practical Application to the Severity Classification of Coronary Artery Disease. - Qi Wang 020; Jiahui Qiu; Yangming Zhou; Tong Ruan; Daqi Gao; Ju Gao (CoRR, 2018)

PatientEG Dataset: Bringing Event Graph Model with Temporal Relations to Electronic Medical Records. - Xuli Liu; Jihao Jin; Qi Wang 020; Tong Ruan; Yangming Zhou; Daqi Gao; Yichao Yin (CoRR, 2018)

Regularized fisher linear discriminant through two threshold variation strategies for imbalanced problems. - Yujin Zhu; Zhe Wang 002; Chenjie Cao; Daqi Gao (Knowl. Based Syst., 2018)

A fast BP networks with dynamic sample selection for handwritten recognition. - Qi Fan; Daqi Gao (Pattern Anal. Appl., 2018)

Boundary-Eliminated Pseudoinverse Linear Discriminant for Imbalanced Problems. - Yujin Zhu; Zhe Wang 002; Hongyuan Zha; Daqi Gao (IEEE Trans. Neural Networks Learn. Syst., 2018)

Support Vector Data Description with Fractional Order Kernel. - Changming Zhu; Zhe Wang 002; Minguang Wang; Wenbo Jie; Daqi Gao (ICMLT, 2019)

ISCP: An Improved Blockchain Consensus Protocol. - Zhong-Cheng Li; Jian-Hua Huang; Da-Qi Gao; Ya-Hui Jiang; Li Fan (Int. J. Netw. Secur., 2019)

Incorporating dictionaries into deep neural networks for the Chinese clinical named entity recognition. - Qi Wang 020; Yangming Zhou; Tong Ruan; Daqi Gao; Yuhang Xia; Ping He (J. Biomed. Informatics, 2019)

Locality Density-Based Fuzzy Multiple Empirical Kernel Learning. - Qi Fan; Zhe Wang 002; Daqi Gao (Neural Process. Lett., 2019)

Multiple Random Empirical Kernel Learning with Margin Reinforcement for imbalance problems. - Zhe Wang 002; Lilong Chen; Qi Fan; Dongdong Li; Daqi Gao (Eng. Appl. Artif. Intell., 2020)

融入语言模型和注意力机制的临床电子病历命名实体识别 (Clinical Electronic Medical Record Named Entity Recognition Incorporating Language Model and Attention Mechanism). - Guoqiang Tang; Daqi Gao; Tong Ruan; Qi Ye; Qi Wang 020 (计算机科学, 2020)

EEG classification using sparse Bayesian extreme learning machine for brain-computer interface. - Zhichao Jin; Guoxu Zhou; Daqi Gao; Yu Zhang 009 (Neural Comput. Appl., 2020)

Five Typical Stenches Detection Using an Electronic Nose. - Wei Jiang; Daqi Gao (Sensors, 2020)

Exploiting the potentialities of features for speech emotion recognition. - Dongdong Li; Yijun Zhou; Zhe Wang 002; Daqi Gao (Inf. Sci., 2021)