default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDaqi Gao
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2021
[j52]Dongdong Li, Yijun Zhou, Zhe Wang
, Daqi Gao:
Exploiting the potentialities of features for speech emotion recognition. Inf. Sci. 548: 328-343 (2021)- 2020
- [j51]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: 103535 (2020) - [j50]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): 211-216 (2020) - [j49]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): 6601-6609 (2020) - [j48]Wei Jiang, Daqi Gao:
Five Typical Stenches Detection Using an Electronic Nose. Sensors 20(9): 2514 (2020)
2010 – 2019
- 2019
- [j47]Zhong-Cheng Li, Jian-Hua Huang, Da-Qi Gao, Ya-Hui Jiang, Li Fan:
ISCP: An Improved Blockchain Consensus Protocol. Int. J. Netw. Secur. 21(3): 359-367 (2019) - [j46]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) - [j45]Qi Fan, Zhe Wang, Daqi Gao:
Locality Density-Based Fuzzy Multiple Empirical Kernel Learning. Neural Process. Lett. 49(3): 1485-1509 (2019) - [c23]Changming Zhu, Zhe Wang, Minguang Wang, Wenbo Jie, Daqi Gao:
Support Vector Data Description with Fractional Order Kernel. ICMLT 2019: 58-65 - 2018
- [j44]Yujin Zhu, Zhe Wang, Chenjie Cao, Daqi Gao:
Regularized fisher linear discriminant through two threshold variation strategies for imbalanced problems. Knowl. Based Syst. 150: 57-73 (2018) - [j43]Qi Fan, Daqi Gao:
A fast BP networks with dynamic sample selection for handwritten recognition. Pattern Anal. Appl. 21(1): 67-80 (2018) - [j42]Yujin Zhu, Zhe Wang, Hongyuan Zha, Daqi Gao:
Boundary-Eliminated Pseudoinverse Linear Discriminant for Imbalanced Problems. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2581-2594 (2018) - [c22]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: 1031-1035 - [c21]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: 1587-1594 - [i4]Qi Wang, Yuhang Xia, Yangming Zhou, Tong Ruan, Da-Qi Gao, Ping He:
Incorporating Dictionaries into Deep Neural Networks for the Chinese Clinical Named Entity Recognition. CoRR abs/1804.05017 (2018) - [i3]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 abs/1805.04827 (2018) - [i2]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 abs/1807.06718 (2018) - [i1]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 abs/1812.09905 (2018) - 2017
- [j41]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: 421-432 (2017) - [j40]Qi Fan, Zhe Wang, Dongdong Li, Daqi Gao, Hongyuan Zha:
Entropy-based fuzzy support vector machine for imbalanced datasets. Knowl. Based Syst. 115: 87-99 (2017) - [j39]Dong-Mei Pu, Da-Qi Gao, Tong Ruan, Yubo Yuan:
A novel learning algorithm of single-hidden-layer feedforward neural networks. Neural Comput. Appl. 28(S-1): 719-726 (2017) - [j38]Dongdong Li, Yujin Zhu, Zhe Wang, Chuanyu Chong, Daqi Gao:
Regularized Matrix-Pattern-Oriented Classification Machine with Universum. Neural Process. Lett. 45(3): 1077-1098 (2017) - [j37]Qi Fan, Zhe Wang, Hongyuan Zha, Daqi Gao:
MREKLM: A fast multiple empirical kernel learning machine. Pattern Recognit. 61: 197-209 (2017) - [c20]Zhichao Jin, Lili Guo, Daqi Gao:
Advanced pseudo-inverse linear discriminants for the improvement of classification accuracies. IJCNN 2017: 25-30 - 2016
- [j36]Qi Fan, Zhe Wang, Daqi Gao:
One-sided Dynamic Undersampling No-Propagation Neural Networks for imbalance problem. Eng. Appl. Artif. Intell. 53: 62-73 (2016) - [j35]Changming Zhu, Daqi Gao:
Influence of Data Preprocessing. J. Comput. Sci. Eng. 10(2) (2016) - [j34]Changming Zhu, Zhe Wang, Daqi Gao:
New design goal of a classifier: Global and local structural risk minimization. Knowl. Based Syst. 100: 25-49 (2016) - [j33]Qi Fan, Daqi Gao, Zhe Wang:
Multiple empirical kernel learning with locality preserving constraint. Knowl. Based Syst. 105: 107-118 (2016) - [j32]Daqi Gao, Dastagir Ahmed, Lili Guo, Wang Zejian, Wang Zhe:
Pseudo-inverse linear discriminants for the improvement of overall classification accuracies. Neural Networks 81: 59-71 (2016) - [j31]Yujin Zhu, Zhe Wang, Daqi Gao:
Matrixized Learning Machine with Feature-Clustering Interpolation. Neural Process. Lett. 44(2): 291-306 (2016) - [c19]Dong-Mei Pu, Da-Qi Gao, Yubo Yuan:
A dynamic data correction algorithm based on polynomial smooth support vector machine. ICMLC 2016: 820-824 - 2015
- [j30]Zhe Wang, Qi Fan, Daqi Gao:
Multiple Empirical Kernel Learning with dynamic pairwise constraints. Appl. Soft Comput. 30: 14-25 (2015) - [j29]Changming Zhu, Zhe Wang, Daqi Gao:
Globalized and localized canonical correlation analysis with multiple empirical kernel mapping. Neurocomputing 154: 257-275 (2015) - [j28]Changming Zhu, Zhe Wang, Daqi Gao, Xiang Feng:
Double-fold localized multiple matrixized learning machine. Inf. Sci. 295: 196-220 (2015) - [j27]Zhe Wang, Qi Fan, Sheng Ke, Daqi Gao:
Structural multiple empirical kernel learning. Inf. Sci. 301: 124-140 (2015) - [j26]Qi Fan, Zhe Wang, Daqi Gao, Dongdong Li:
MPEKDyL: Efficient multi-partial empirical kernel dynamic learning. Knowl. Based Syst. 77: 40-55 (2015) - [j25]Changming Zhu, Daqi Gao:
Multiple Matrix Learning Machine with Five Aspects of Pattern Information. Knowl. Based Syst. 83: 13-31 (2015) - [j24]Zhe Wang, Yun Meng, Yujin Zhu, Qi Fan, Songcan Chen, Daqi Gao:
McMatMHKS: A direct multi-class matrixized learning machine. Knowl. Based Syst. 88: 184-194 (2015) - [j23]Yujin Zhu, Zhe Wang, Daqi Gao:
Gravitational fixed radius nearest neighbor for imbalanced problem. Knowl. Based Syst. 90: 224-238 (2015) - [j22]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): 715-744 (2015) - [j21]Changming Zhu, Daqi Gao:
A modified kernel clustering method with multiple factors. Pattern Anal. Appl. 18(4): 871-886 (2015) - [j20]Changming Zhu, Daqi Gao:
Improved multi-kernel classification machine with Nyström approximation technique. Pattern Recognit. 48(4): 1490-1509 (2015) - [j19]Yujin Zhu, Zhe Wang, Daqi Gao:
Matrixized learning machine with modified pairwise constraints. Pattern Recognit. 48(11): 3797-3809 (2015) - [c18]Tian Tian, Ji Wang, Daqi Gao:
Threshold optimization of pseudo-inverse linear discriminants based on overall accuracies. IJCNN 2015: 1-6 - 2014
- [j18]Zhe Wang, Yujin Zhu, Daqi Gao, Weibin Guo:
Globalized and localized matrix-pattern-oriented classification machine. Appl. Soft Comput. 25: 379-390 (2014) - [j17]Hongqing Zhu, Meiyu Ding, Daqi Gao:
Resolution of the Gibbs Phenomenon for Fractional Fourier Series. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 97-A(2): 572-586 (2014) - [j16]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) - [j15]Zhe Wang, Changming Zhu, Zengxin Niu, Daqi Gao, Xiang Feng:
Multi-kernel classification machine with reduced complexity. Knowl. Based Syst. 65: 83-95 (2014) - [j14]Zhe Wang, Yujin Zhu, Wenwen Liu, Zhihua Chen, Daqi Gao:
Multi-view learning with Universum. Knowl. Based Syst. 70: 376-391 (2014) - [j13]Daqi Gao, Jun Ding, Changming Zhu:
Integrated Fisher linear discriminants: An empirical study. Pattern Recognit. 47(2): 789-805 (2014) - [c17]Chengyuan Xue, Haofen Wang, Bo Jin, Mengjie Wang, Daqi Gao:
Effective Chinese Organization Name Linking to a List-Like Knowledge Base. CSWS 2014: 97-110 - 2013
- [j12]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): 292-294 (2013) - [j11]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): 1827-1829 (2013) - [j10]Zhe Wang, Wenbo Jie, Daqi Gao:
A novel multiple Nyström-approximating kernel discriminant analysis. Neurocomputing 119: 385-398 (2013) - [j9]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): 2103-2115 (2013) - [j8]Zhe Wang, Wenbo Jie, Songcan Chen, Daqi Gao:
Random projection ensemble learning with multiple empirical kernels. Knowl. Based Syst. 37: 388-393 (2013) - [j7]Zhe Wang, Xisheng He, Daqi Gao, Xiangyang Xue:
An efficient Kernel-based matrixized least squares support vector machine. Neural Comput. Appl. 22(1): 143-150 (2013) - [j6]Zhe Wang, Jin Xu, Daqi Gao, Yu Fu:
Multiple empirical kernel learning based on local information. Neural Comput. Appl. 23(7-8): 2113-2120 (2013) - [j5]Zhe Wang, Changming Zhu, Daqi Gao, Songcan Chen:
Three-fold structured classifier design based on matrix pattern. Pattern Recognit. 46(6): 1532-1555 (2013) - [c16]Qin Feng, Daqi Gao:
Dynamic learning algorithm of multi-layer perceptrons for letter recognition. IJCNN 2013: 1-6 - [c15]Qin Feng, Daqi Gao:
Iterative learning of Fisher linear discriminants for handwritten digit recognition. IJCNN 2013: 1-6 - 2012
- [j4]Zhe Wang, Jin Xu, Songcan Chen, Daqi Gao:
Regularized multi-view learning machine based on response surface technique. Neurocomputing 97: 201-213 (2012) - [j3]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: 204-215 (2012) - 2011
- [j2]Zhe Wang, Songcan Chen, Daqi Gao:
A novel multi-view classifier based on Nyström approximation. Expert Syst. Appl. 38(9): 11193-11200 (2011) - [j1]Zhe Wang, Songcan Chen, Daqi Gao:
A novel multi-view learning developed from single-view patterns. Pattern Recognit. 44(10-11): 2395-2413 (2011) - 2010
- [c14]Zhe Wang, Daqi Gao:
Discriminant Support Vector Data Description. IWACI 2010: 97-100 - [c13]Zhe Wang, Daqi Gao, Zhisong Pan:
An Effective Support Vector Data Description with Relevant Metric Learning. ISNN (2) 2010: 42-51
2000 – 2009
- 2009
- [c12]Xiang Feng, Francis C. M. Lau, Daqi Gao:
Optimization Using a New Bio-inspired Approach. Complex (1) 2009: 39-51 - [c11]Xiang Feng, Francis C. M. Lau, Daqi Gao:
Cache Allocation in CDN: An Evolutionary Game Generalized Particle Model. Complex (2) 2009: 1226-1237 - [c10]Xiang Feng, Francis C. M. Lau, Daqi Gao:
A New Bio-inspired Approach to the Traveling Salesman Problem. Complex (2) 2009: 1310-1321 - [c9]Zhe Wang, Songcan Chen, Daqi Gao:
A Novel Matrix-Pattern-Oriented Ho-Kashyap Classifier with Locally Spatial Smoothness. ISNN (4) 2009: 441-449 - 2008
- [c8]Daqi Gao, Zeping Yang, Jianli Sun:
Modular neural networks for estimating odor concentrations. IJCNN 2008: 3941-3948 - 2007
- [c7]Daqi Gao, Jianli Sun, Xiaoyan Li:
Parallel-Series Perceptrons for the Simultaneous Determination of Odor Classes and Concentrations. ICANN (2) 2007: 250-260 - [c6]Daqi Gao, Xiaoning Sun:
Function approximation model ensembles and their application to the simultaneous determination of sample categories and positions. IJCNN 2007: 1918-1923 - [c5]Daqi Gao, Wei Wang, Jianliang Gao:
Class-modular multi-layer perceptions, task decomposition and virtually balanced training subsets. IJCNN 2007: 2153-2158 - [c4]Daqi Gao, Tao Zhang:
Support vector machine classifiers using RBF kernels with clustering-based centers and widths. IJCNN 2007: 2971-2976 - 2006
- [c3]Daqi Gao, Li Hao, Chen Wei:
A Mixed Parallel Perceptron Classifier and Several Application problems. IJCNN 2006: 4797-4802 - 2005
- [c2]Daqi Gao, Shangming Zhu:
A Kind of Fuzzily Combinative Classifiers for Solving Large-Scale Learning Problems. FUZZ-IEEE 2005: 424-429 - [c1]Daqi Gao, Shangming Zhu, Wenbing Gu:
A Modular Single-Hidden-Layer Perceptron for Letter Recognition. ICANN (1) 2005: 461-467
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-02 20:43 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
