Daqi Gao

Publication Activity (10 Years)

Years Active: 2005-2021
Publications (10 Years): 27

Top Topics

Named Entity Recognition

Pairwise Constraints

Electronic Medical Record

Linear Discriminants

Top Venues

Knowl. Based Syst.

Pattern Recognit.

Neural Process. Lett.

Publications

Dongdong Li, Yijun Zhou, Zhe Wang, Daqi Gao
Exploiting the potentialities of features for speech emotion recognition. Inf. Sci. 548 (2021)
Zhe Wang, Lilong Chen, Qi Fan, Dongdong Li, Daqi Gao
Multiple Random Empirical Kernel Learning with Margin Reinforcement for imbalance problems. Eng. Appl. Artif. Intell. 90 (2020)
Zhichao Jin, Guoxu Zhou, Daqi Gao, Yu Zhang
EEG classification using sparse Bayesian extreme learning machine for brain-computer interface. Neural Comput. Appl. 32 (11) (2020)
Guoqiang Tang, Daqi Gao, Tong Ruan, Qi Ye, Qi Wang
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). 计算机科学 47 (3) (2020)
Wei Jiang, Daqi Gao
Five Typical Stenches Detection Using an Electronic Nose. Sensors 20 (9) (2020)
Qi Wang, Yangming Zhou, Tong Ruan, Daqi Gao, Yuhang Xia, Ping He
Incorporating dictionaries into deep neural networks for the Chinese clinical named entity recognition. J. Biomed. Informatics 92 (2019)
Qi Fan, Zhe Wang, Daqi Gao
Locality Density-Based Fuzzy Multiple Empirical Kernel Learning. Neural Process. Lett. 49 (3) (2019)
Changming Zhu, Zhe Wang, Minguang Wang, Wenbo Jie, Daqi Gao
Support Vector Data Description with Fractional Order Kernel. ICMLT (2019)
Qi Wang, Jiahui Qiu, Yangming Zhou, Tong Ruan, Daqi Gao, Ju Gao
Automatic Severity Classification of Coronary Artery Disease via Recurrent Capsule Network. BIBM (2018)
Qi Fan, Daqi Gao
A fast BP networks with dynamic sample selection for handwritten recognition. Pattern Anal. Appl. 21 (1) (2018)
Xuli Liu, Jihao Jin, Qi Wang, Tong Ruan, Yangming Zhou, Daqi Gao, Yichao Yin
PatientEG Dataset: Bringing Event Graph Model with Temporal Relations to Electronic Medical Records. CoRR (2018)
Qi Wang, Tong Ruan, Yangming Zhou, Chenming Xu, Daqi Gao, Ping He
An attention-based Bi-GRU-CapsNet model for hypernymy detection between compound entities. CoRR (2018)
Yujin Zhu, Zhe Wang, Chenjie Cao, Daqi Gao
Regularized fisher linear discriminant through two threshold variation strategies for imbalanced problems. Knowl. Based Syst. 150 (2018)
Qi Wang, Jiahui Qiu, Yangming Zhou, Tong Ruan, Daqi Gao, Ju Gao
Recurrent Capsule Network for Relations Extraction: A Practical Application to the Severity Classification of Coronary Artery Disease. CoRR (2018)
Qi Wang, Chenming Xu, Yangming Zhou, Tong Ruan, Daqi Gao, Ping He
An Attention-based BI-GRU-CapsNet Model for Hypernymy Detection between Compound Entities. BIBM (2018)
Yujin Zhu, Zhe Wang, Hongyuan Zha, Daqi Gao
Boundary-Eliminated Pseudoinverse Linear Discriminant for Imbalanced Problems. IEEE Trans. Neural Networks Learn. Syst. 29 (6) (2018)
Qi Fan, Zhe Wang, Dongdong Li, Daqi Gao, Hongyuan Zha
Entropy-based fuzzy support vector machine for imbalanced datasets. Knowl. Based Syst. 115 (2017)
Zhichao Jin, Lili Guo, Daqi Gao
Advanced pseudo-inverse linear discriminants for the improvement of classification accuracies. IJCNN (2017)
Dongdong Li, Yujin Zhu, Zhe Wang, Chuanyu Chong, Daqi Gao
Regularized Matrix-Pattern-Oriented Classification Machine with Universum. Neural Process. Lett. 45 (3) (2017)
Qi Fan, Zhe Wang, Hongyuan Zha, Daqi Gao
MREKLM: A fast multiple empirical kernel learning machine. Pattern Recognit. 61 (2017)
Yujin Zhu, Zhe Wang, Daqi Gao, Dongdong Li
GMFLLM: A general manifold framework unifying three classic models for dimensionality reduction. Eng. Appl. Artif. Intell. 65 (2017)
Qi Fan, Daqi Gao, Zhe Wang
Multiple empirical kernel learning with locality preserving constraint. Knowl. Based Syst. 105 (2016)
Daqi Gao, Dastagir Ahmed, Lili Guo, Wang Zejian, Wang Zhe
Pseudo-inverse linear discriminants for the improvement of overall classification accuracies. Neural Networks 81 (2016)
Changming Zhu, Daqi Gao
Influence of Data Preprocessing. J. Comput. Sci. Eng. 10 (2) (2016)
Yujin Zhu, Zhe Wang, Daqi Gao
Matrixized Learning Machine with Feature-Clustering Interpolation. Neural Process. Lett. 44 (2) (2016)
Changming Zhu, Zhe Wang, Daqi Gao
New design goal of a classifier: Global and local structural risk minimization. Knowl. Based Syst. 100 (2016)
Qi Fan, Zhe Wang, Daqi Gao
One-sided Dynamic Undersampling No-Propagation Neural Networks for imbalance problem. Eng. Appl. Artif. Intell. 53 (2016)
Changming Zhu, Zhe Wang, Daqi Gao
Globalized and localized canonical correlation analysis with multiple empirical kernel mapping. Neurocomputing 154 (2015)
Changming Zhu, Daqi Gao
Multiple Matrix Learning Machine with Five Aspects of Pattern Information. Knowl. Based Syst. 83 (2015)
Zhe Wang, Qi Fan, Daqi Gao
Multiple Empirical Kernel Learning with dynamic pairwise constraints. Appl. Soft Comput. 30 (2015)
Changming Zhu, Zhe Wang, Daqi Gao, Xiang Feng
Double-fold localized multiple matrixized learning machine. Inf. Sci. 295 (2015)
Qi Fan, Zhe Wang, Daqi Gao, Dongdong Li
MPEKDyL: Efficient multi-partial empirical kernel dynamic learning. Knowl. Based Syst. 77 (2015)
Zhe Wang, Qi Fan, Sheng Ke, Daqi Gao
Structural multiple empirical kernel learning. Inf. Sci. 301 (2015)
Zhe Wang, Qi Fan, Wenbo Jie, Daqi Gao
An Efficient and Effective Multiple Empirical Kernel Learning Based on Random Projection. Neural Process. Lett. 42 (3) (2015)
Zhe Wang, Yun Meng, Yujin Zhu, Qi Fan, Songcan Chen, Daqi Gao
McMatMHKS: A direct multi-class matrixized learning machine. Knowl. Based Syst. 88 (2015)
Yujin Zhu, Zhe Wang, Daqi Gao
Gravitational fixed radius nearest neighbor for imbalanced problem. Knowl. Based Syst. 90 (2015)
Changming Zhu, Daqi Gao
A modified kernel clustering method with multiple factors. Pattern Anal. Appl. 18 (4) (2015)
Changming Zhu, Daqi Gao
Improved multi-kernel classification machine with Nyström approximation technique. Pattern Recognit. 48 (4) (2015)
Tian Tian, Ji Wang, Daqi Gao
Threshold optimization of pseudo-inverse linear discriminants based on overall accuracies. IJCNN (2015)
Yujin Zhu, Zhe Wang, Daqi Gao
Matrixized learning machine with modified pairwise constraints. Pattern Recognit. 48 (11) (2015)
Chengyuan Xue, Haofen Wang, Bo Jin, Mengjie Wang, Daqi Gao
Effective Chinese Organization Name Linking to a List-Like Knowledge Base. CSWS (2014)
Daqi Gao, Jun Ding, Changming Zhu
Integrated Fisher linear discriminants: An empirical study. Pattern Recognit. 47 (2) (2014)
Zhe Wang, Mingzhe Lu, Zengxin Niu, Xiangyang Xue, Daqi Gao
Cost-Sensitive Multi-View Learning Machine. Int. J. Pattern Recognit. Artif. Intell. 28 (3) (2014)
Zhe Wang, Yujin Zhu, Daqi Gao, Weibin Guo
Globalized and localized matrix-pattern-oriented classification machine. Appl. Soft Comput. 25 (2014)
Zhe Wang, Yujin Zhu, Wenwen Liu, Zhihua Chen, Daqi Gao
Multi-view learning with Universum. Knowl. Based Syst. 70 (2014)
Zhe Wang, Changming Zhu, Zengxin Niu, Daqi Gao, Xiang Feng
Multi-kernel classification machine with reduced complexity. Knowl. Based Syst. 65 (2014)
Hongqing Zhu, Meiyu Ding, Daqi Gao
Resolution of the Gibbs Phenomenon for Fractional Fourier Series. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (2) (2014)
Qin Feng, Daqi Gao
Iterative learning of Fisher linear discriminants for handwritten digit recognition. IJCNN (2013)
Zhe Wang, Wenbo Jie, Songcan Chen, Daqi Gao
Random projection ensemble learning with multiple empirical kernels. Knowl. Based Syst. 37 (2013)
Zhe Wang, Jin Xu, Daqi Gao, Yu Fu
Multiple empirical kernel learning based on local information. Neural Comput. Appl. 23 (7-8) (2013)
Zhe Wang, Changming Zhu, Daqi Gao, Songcan Chen
Three-fold structured classifier design based on matrix pattern. Pattern Recognit. 46 (6) (2013)
Qin Feng, Daqi Gao
Dynamic learning algorithm of multi-layer perceptrons for letter recognition. IJCNN (2013)
Jiayu Gong, Chaoqian Cai, Xiaofeng Liu, Xin Ku, Hualiang Jiang, Daqi Gao, Honglin Li
ChemMapper: a versatile web server for exploring pharmacology and chemical structure association based on molecular 3D similarity method. Bioinform. 29 (14) (2013)
Chaoqian Cai, Jiayu Gong, Xiaofeng Liu, Daqi Gao, Honglin Li
SimG: An Alignment Based Method for Evaluating the Similarity of Small Molecules and Binding Sites. J. Chem. Inf. Model. 53 (8) (2013)
Zhe Wang, Wenbo Jie, Daqi Gao
A novel multiple Nyström-approximating kernel discriminant analysis. Neurocomputing 119 (2013)
Jiayu Gong, Xiaofeng Liu, Xianwen Cao, Yanyan Diao, Daqi Gao, Honglin Li, Xuhong Qian
PTID: an integrated web resource and computational tool for agrochemical discovery. Bioinform. 29 (2) (2013)
Zhe Wang, Xisheng He, Daqi Gao, Xiangyang Xue
An efficient Kernel-based matrixized least squares support vector machine. Neural Comput. Appl. 22 (1) (2013)
Zhe Wang, Jin Xu, Songcan Chen, Daqi Gao
Regularized multi-view learning machine based on response surface technique. Neurocomputing 97 (2012)
Daqi Gao, Zeping Yang, Chaoqian Cai, Fangjun Liu
Performance evaluation of multilayer perceptrons for discriminating and quantifying multiple kinds of odors with an electronic nose. Neural Networks 33 (2012)
Zhe Wang, Songcan Chen, Daqi Gao
A novel multi-view classifier based on Nyström approximation. Expert Syst. Appl. 38 (9) (2011)
Zhe Wang, Songcan Chen, Daqi Gao
A novel multi-view learning developed from single-view patterns. Pattern Recognit. 44 (10-11) (2011)
Zhe Wang, Daqi Gao
Discriminant Support Vector Data Description. IWACI (2010)
Zhe Wang, Daqi Gao, Zhisong Pan
An Effective Support Vector Data Description with Relevant Metric Learning. ISNN (2) (2010)
Zhe Wang, Songcan Chen, Daqi Gao
A Novel Matrix-Pattern-Oriented Ho-Kashyap Classifier with Locally Spatial Smoothness. ISNN (4) (2009)
Xiang Feng, Francis C. M. Lau, Daqi Gao
Cache Allocation in CDN: An Evolutionary Game Generalized Particle Model. Complex (2) (2009)
Xiang Feng, Francis C. M. Lau, Daqi Gao
A New Bio-inspired Approach to the Traveling Salesman Problem. Complex (2) (2009)
Xiang Feng, Francis C. M. Lau, Daqi Gao
Optimization Using a New Bio-inspired Approach. Complex (1) (2009)
Daqi Gao, Zeping Yang, Jianli Sun
Modular neural networks for estimating odor concentrations. IJCNN (2008)
Daqi Gao, Jianli Sun, Xiaoyan Li
Parallel-Series Perceptrons for the Simultaneous Determination of Odor Classes and Concentrations. ICANN (2) (2007)
Daqi Gao, Xiaoning Sun
Function approximation model ensembles and their application to the simultaneous determination of sample categories and positions. IJCNN (2007)
Daqi Gao, Tao Zhang
Support vector machine classifiers using RBF kernels with clustering-based centers and widths. IJCNN (2007)
Daqi Gao, Wei Wang, Jianliang Gao
Class-modular multi-layer perceptions, task decomposition and virtually balanced training subsets. IJCNN (2007)
Daqi Gao, Li Hao, Chen Wei
A Mixed Parallel Perceptron Classifier and Several Application problems. IJCNN (2006)
Daqi Gao, Shangming Zhu, Wenbing Gu
A Modular Single-Hidden-Layer Perceptron for Letter Recognition. ICANN (1) (2005)
Daqi Gao, Shangming Zhu
A Kind of Fuzzily Combinative Classifiers for Solving Large-Scale Learning Problems. FUZZ-IEEE (2005)