Daqi Gao

发表

Cost-Sensitive Multi-View Learning Machine

Xiangyang Xue, Mingzhe Lu, Zhe Wang, 2014, Int. J. Pattern Recognit. Artif. Intell..

Quantitative analysis of different volatile organic compounds using an improved electronic nose

Jiayu Gong, Daqi Gao, Jiuming Ji, 2012 .

Honglin Li, Xiaofeng Liu, Jiayu Gong, 2013 .

Reduced multiple empirical kernel learning machine

Zhe Wang, Mingzhe Lu, Daqi Gao, 2014, Cognitive Neurodynamics.

Discriminant Support Vector Data Description

Zhe Wang, Daqi Gao, 2010, Third International Workshop on Advanced Computational Intelligence.

Parallel-Series Perceptrons for the Simultaneous Determination of Odor Classes and Concentrations

Jianli Sun, Xiaoyan Li, Daqi Gao, 2007, ICANN.

Data preprocessing and re kernel clustering for letter

Daqi Gao, Changming Zhu, 2014 .

Support vector machine classifiers using RBF kernels with clustering-based centers and widths

Tao Zhang, Daqi Gao, Tao Zhang, 2007, IEEE International Joint Conference on Neural Network.

An Efficient and Effective Multiple Empirical Kernel Learning Based on Random Projection

Zhe Wang, Daqi Gao, Qi Fan, 2015, Neural Processing Letters.

Influence of Data Preprocessing

Changming Zhu, Daqi Gao, Daqi Gao, 2016, J. Comput. Sci. Eng..

New design goal of a classifier: Global and local structural risk minimization

Changming Zhu, Zhe Wang, Daqi Gao, 2016, Knowl. Based Syst..

Multiple Matrix Learning Machine with Five Aspects of Pattern Information

Changming Zhu, Daqi Gao, Daqi Gao, 2015, Knowl. Based Syst..

Structural multiple empirical kernel learning

Qi Fan, Zhe Wang, Daqi Gao, 2015, Inf. Sci..

A modified kernel clustering method with multiple factors

Changming Zhu, Daqi Gao, Daqi Gao, 2015, Pattern Analysis and Applications.

Three-fold structured classifier design based on matrix pattern

Zhe Wang, Changming Zhu, Daqi Gao, 2013, Pattern Recognit..

Five Typical Stenches Detection Using an Electronic Nose

Wei Jiang, Daqi Gao, Wei Jiang, 2020, Sensors.

Multi-view learning with Universum

Wenwen Liu, Zhe Wang, Zhihua Chen, 2014, Knowl. Based Syst..

ChemMapper: a versatile web server for exploring pharmacology and chemical structure association based on molecular 3D similarity method

Xiaofeng Liu, Hualiang Jiang, Honglin Li, 2013, Bioinform..

A fast BP networks with dynamic sample selection for handwritten recognition

Qi Fan, Daqi Gao, Daqi Gao, 2018, Pattern Analysis and Applications.

Simultaneous estimation of classes and concentrations of odors by an electronic nose using combinative and modular multilayer perceptrons

Daqi Gao, Chen Mingming, Daqi Gao, 2005 .

Support Vector Data Description with Fractional Order Kernel

Changming Zhu, Zhe Wang, Daqi Gao, 2019, ICMLT.

A New One-class Classifier: Relevant Component Analysis Data Description

Zhe Wang, Daqi Gao, Zhe Wang, 2012 .

An Effective Support Vector Data Description with Relevant Metric Learning

Zhisong Pan, Zhe Wang, Daqi Gao, 2010, ISNN.

EEG classification using sparse Bayesian extreme learning machine for brain–computer interface

Yu Zhang, Guoxu Zhou, Daqi Gao, 2018, Neural Computing and Applications.

Matrixized Learning Machine with Feature-Clustering Interpolation

Zhe Wang, Daqi Gao, Yujin Zhu, 2016, Neural Processing Letters.

Exploiting the potentialities of features for speech emotion recognition

Zhe Wang, Dongdong Li, Yijun Zhou, 2021, Inf. Sci..

One-sided Dynamic Undersampling No-Propagation Neural Networks for imbalance problem

Qi Fan, Zhe Wang, Daqi Gao, 2016, Eng. Appl. Artif. Intell..

A New Bio-inspired Approach to the Traveling Salesman Problem

Xiang Feng, Francis C. M. Lau, Daqi Gao, 2009, Complex.

Quantitative analysis of multiple kinds of volatile organic compounds using hierarchical models with an electronic nose

Ji Wang, Daqi Gao, Fangjun Liu, 2012 .

A novel multi-view learning developed from single-view patterns

Songcan Chen, Zhe Wang, Daqi Gao, 2011, Pattern Recognit..

An efficient Kernel-based matrixized least squares support vector machine

Xiangyang Xue, Zhe Wang, Daqi Gao, 2011, Neural Computing and Applications.

An efficient Kernel-based matrixized least squares support vector machine

X. Xue, Zhe Wang, Daqi Gao, 2011, Neural Computing and Applications.

Locality Density-Based Fuzzy Multiple Empirical Kernel Learning

Zhe Wang, Daqi Gao, Qi Fan, 2018, Neural Processing Letters.

PTID: an integrated web resource and computational tool for agrochemical discovery

Xiaofeng Liu, Honglin Li, Daqi Gao, 2013, Bioinform..

Matrixized learning machine with modified pairwise constraints

Zhe Wang, Daqi Gao, Yujin Zhu, 2015, Pattern Recognit..

McMatMHKS: A direct multi-class matrixized learning machine

Yun Meng, Qi Fan, Songcan Chen, 2015, Knowl. Based Syst..

Globalized and localized matrix-pattern-oriented classification machine

Zhe Wang, Daqi Gao, Weibin Guo, 2014, Appl. Soft Comput..

Recurrent Capsule Network for Relations Extraction: A Practical Application to the Severity Classification of Coronary Artery Disease pdf

Qi Wang, Tong Ruan, Ju Gao, 2018, ArXiv.

PatientEG Dataset: Bringing Event Graph Model with Temporal Relations to Electronic Medical Records pdf

Tong Ruan, Yangming Zhou, Daqi Gao, 2018, ArXiv.

Entropy-based fuzzy support vector machine for imbalanced datasets

Hongyuan Zha, Dongdong Li, Qi Fan, 2017, Knowl. Based Syst..

Gravitational fixed radius nearest neighbor for imbalanced problem

Zhe Wang, Daqi Gao, Yujin Zhu, 2015, Knowl. Based Syst..

Multiple Empirical Kernel Learning with dynamic pairwise constraints

Qi Fan, Zhe Wang, Daqi Gao, 2015, Appl. Soft Comput..

Regularized fisher linear discriminant through two threshold variation strategies for imbalanced problems

Zhe Wang, Daqi Gao, Chenjie Cao, 2018, Knowl. Based Syst..

Incorporating Dictionaries into Deep Neural Networks for the Chinese Clinical Named Entity Recognition

Ping He, Tong Ruan, Yangming Zhou, 2018, J. Biomed. Informatics.

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)

Tong Ruan, Daqi Gao, Qi Wang, 2020, 计算机科学.

Regularized Matrix-Pattern-Oriented Classification Machine with Universum

Dongdong Li, Zhe Wang, Daqi Gao, 2017, Neural Processing Letters.

Alone in the Game: Dynamic Spread of Churn Behavior in a Large Social Network a Longitudinal Study in MMORPG

Daqi Gao, Daqi Gao, Jun Ding, 2015 .

An Attention-based BI-GRU-CapsNet Model for Hypernymy Detection between Compound Entities

Chenming Xu, Tong Ruan, Ping He, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Multiple empirical kernel learning based on local information

Zhe Wang, Daqi Gao, Jin Xu, 2013, Neural Computing and Applications.

Regularized multi-view learning machine based on response surface technique

Jin Xu, Songcan Chen, Zhe Wang, 2012, Neurocomputing.

A novel multi-view classifier based on Nyström approximation

Songcan Chen, Zhe Wang, Daqi Gao, 2011, Expert Syst. Appl..

Double-fold localized multiple matrixized learning machine

Xiang Feng, Changming Zhu, Zhe Wang, 2015, Inf. Sci..

A modified kernel clustering method with multiple factors

Daqi Gao, Changming Zhu, 2015, Pattern Analysis and Applications.

Reduced multiple empirical kernel learning machine

Zhe Wang, Mingzhe Lu, Daqi Gao, 2014, Cognitive Neurodynamics.

Boundary-Eliminated Pseudoinverse Linear Discriminant for Imbalanced Problems

Hongyuan Zha, Zhe Wang, Daqi Gao, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Pseudo-inverse linear discriminants for the improvement of overall classification accuracies

Daqi Gao, Z. Wang, Lili Guo, 2016, Neural Networks.

Threshold optimization of pseudo-inverse linear discriminants based on overall accuracies

Ji Wang, Tian Tian, Daqi Gao, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Multiple Random Empirical Kernel Learning with Margin Reinforcement for imbalance problems

Dongdong Li, Zhe Wang, Lilong Chen, 2020, Eng. Appl. Artif. Intell..

Improved multi-kernel classification machine with Nyström approximation technique

Changming Zhu, Daqi Gao, Daqi Gao, 2015, Pattern Recognit..

Random projection ensemble learning with multiple empirical kernels

Songcan Chen, Zhe Wang, Daqi Gao, 2013, Knowl. Based Syst..

Performance evaluation of multilayer perceptrons for discriminating and quantifying multiple kinds of odors with an electronic nose

Daqi Gao, Chaoqian Cai, Fangjun Liu, 2012, Neural Networks.

Optimization Using a New Bio-inspired Approach

Xiang Feng, Francis C. M. Lau, Daqi Gao, 2009, Complex.

A Novel Matrix-Pattern-Oriented Ho-Kashyap Classifier with Locally Spatial Smoothness

Songcan Chen, Zhe Wang, Daqi Gao, 2009, ISNN.

A Modular Single-Hidden-Layer Perceptron for Letter Recognition

Daqi Gao, Shangming Zhu, Wenbing Gu, 2005, ICANN.

Class-modular multi-layer perceptions, task decomposition and virtually balanced training subsets

Wei Wang, Jianliang Gao, Daqi Gao, 2007, IJCNN.

A novel multiple Nyström-approximating kernel discriminant analysis

Zhe Wang, Daqi Gao, Wenbo Jie, 2013, Neurocomputing.

Matrixized Learning Machine with Feature-Clustering Interpolation

Zhe Wang, Daqi Gao, Yujin Zhu, 2016, Neural Processing Letters.