Daqi Gao - RankMe

92 papers B 22Journal 58Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From Passive Observer to Active Critic: Reinforcement Learning Elicits Process Reasoning for Robotic Manipulation. CoRR Yibin Liu, Yaxing Lyu, Daqi Gao, Zhixuan Liang, Weiliang Tang, Shilong Mu, Xiaokang Yang, Yao Mu
2021	J	`jnl`	Exploiting the potentialities of features for speech emotion recognition. Inf. Sci. Dongdong Li, Yijun Zhou, Zhe Wang, Daqi Gao
2020	J	`jnl`	EEG classification using sparse Bayesian extreme learning machine for brain-computer interface. Neural Comput. Appl. Zhichao Jin, Guoxu Zhou, Daqi Gao, Yu Zhang
2020	J	`jnl`	Five Typical Stenches Detection Using an Electronic Nose. Sensors Wei Jiang, Daqi Gao
2020	J	`jnl`	Multiple Random Empirical Kernel Learning with Margin Reinforcement for imbalance problems. Eng. Appl. Artif. Intell. Zhe Wang, Lilong Chen, Qi Fan, Dongdong Li, Daqi Gao
2020	J	`jnl`	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 Guoqiang Tang, Daqi Gao, Tong Ruan, Qi Ye, Qi Wang
2019	J	`jnl`	Incorporating dictionaries into deep neural networks for the Chinese clinical named entity recognition. J. Biomed. Informatics Qi Wang, Yangming Zhou, Tong Ruan, Daqi Gao, Yuhang Xia, Ping He
2019	J	`jnl`	Locality Density-Based Fuzzy Multiple Empirical Kernel Learning. Neural Process. Lett. Qi Fan, Zhe Wang, Daqi Gao
2019	—	`conf`	Support Vector Data Description with Fractional Order Kernel. ICMLT Changming Zhu, Zhe Wang, Minguang Wang, Wenbo Jie, Daqi Gao
2018	J	`jnl`	A fast BP networks with dynamic sample selection for handwritten recognition. Pattern Anal. Appl. Qi Fan, Daqi Gao
2018	—	`conf`	An Attention-based BI-GRU-CapsNet Model for Hypernymy Detection between Compound Entities. BIBM Qi Wang, Chenming Xu, Yangming Zhou, Tong Ruan, Daqi Gao, Ping He
2018	J	`jnl`	An attention-based Bi-GRU-CapsNet model for hypernymy detection between compound entities. CoRR Qi Wang, Tong Ruan, Yangming Zhou, Chenming Xu, Daqi Gao, Ping He
2018	—	`conf`	Automatic Severity Classification of Coronary Artery Disease via Recurrent Capsule Network. BIBM Qi Wang, Jiahui Qiu, Yangming Zhou, Tong Ruan, Daqi Gao, Ju Gao
2018	J	`jnl`	Boundary-Eliminated Pseudoinverse Linear Discriminant for Imbalanced Problems. IEEE Trans. Neural Networks Learn. Syst. Yujin Zhu, Zhe Wang, Hongyuan Zha, Daqi Gao
2018	J	`jnl`	PatientEG Dataset: Bringing Event Graph Model with Temporal Relations to Electronic Medical Records. CoRR Xuli Liu, Jihao Jin, Qi Wang, Tong Ruan, Yangming Zhou, Daqi Gao, Yichao Yin
2018	J	`jnl`	Recurrent Capsule Network for Relations Extraction: A Practical Application to the Severity Classification of Coronary Artery Disease. CoRR Qi Wang, Jiahui Qiu, Yangming Zhou, Tong Ruan, Daqi Gao, Ju Gao
2018	J	`jnl`	Regularized fisher linear discriminant through two threshold variation strategies for imbalanced problems. Knowl. Based Syst. Yujin Zhu, Zhe Wang, Chenjie Cao, Daqi Gao
2017	B	`conf`	Advanced pseudo-inverse linear discriminants for the improvement of classification accuracies. IJCNN Zhichao Jin, Lili Guo, Daqi Gao
2017	J	`jnl`	Entropy-based fuzzy support vector machine for imbalanced datasets. Knowl. Based Syst. Qi Fan, Zhe Wang, Dongdong Li, Daqi Gao, Hongyuan Zha
2017	J	`jnl`	GMFLLM: A general manifold framework unifying three classic models for dimensionality reduction. Eng. Appl. Artif. Intell. Yujin Zhu, Zhe Wang, Daqi Gao, Dongdong Li
2017	J	`jnl`	MREKLM: A fast multiple empirical kernel learning machine. Pattern Recognit. Qi Fan, Zhe Wang, Hongyuan Zha, Daqi Gao
2017	J	`jnl`	Regularized Matrix-Pattern-Oriented Classification Machine with Universum. Neural Process. Lett. Dongdong Li, Yujin Zhu, Zhe Wang, Chuanyu Chong, Daqi Gao
2016	J	`jnl`	Influence of Data Preprocessing. J. Comput. Sci. Eng. Changming Zhu, Daqi Gao
2016	J	`jnl`	Matrixized Learning Machine with Feature-Clustering Interpolation. Neural Process. Lett. Yujin Zhu, Zhe Wang, Daqi Gao
2016	J	`jnl`	Multiple empirical kernel learning with locality preserving constraint. Knowl. Based Syst. Qi Fan, Daqi Gao, Zhe Wang
2016	J	`jnl`	New design goal of a classifier: Global and local structural risk minimization. Knowl. Based Syst. Changming Zhu, Zhe Wang, Daqi Gao
2016	J	`jnl`	One-sided Dynamic Undersampling No-Propagation Neural Networks for imbalance problem. Eng. Appl. Artif. Intell. Qi Fan, Zhe Wang, Daqi Gao
2016	J	`jnl`	Pseudo-inverse linear discriminants for the improvement of overall classification accuracies. Neural Networks Daqi Gao, Dastagir Ahmed, Lili Guo, Wang Zejian, Wang Zhe
2015	J	`jnl`	A modified kernel clustering method with multiple factors. Pattern Anal. Appl. Changming Zhu, Daqi Gao
2015	J	`jnl`	An Efficient and Effective Multiple Empirical Kernel Learning Based on Random Projection. Neural Process. Lett. Zhe Wang, Qi Fan, Wenbo Jie, Daqi Gao
2015	J	`jnl`	Double-fold localized multiple matrixized learning machine. Inf. Sci. Changming Zhu, Zhe Wang, Daqi Gao, Xiang Feng
2015	J	`jnl`	Globalized and localized canonical correlation analysis with multiple empirical kernel mapping. Neurocomputing Changming Zhu, Zhe Wang, Daqi Gao
2015	J	`jnl`	Gravitational fixed radius nearest neighbor for imbalanced problem. Knowl. Based Syst. Yujin Zhu, Zhe Wang, Daqi Gao
2015	J	`jnl`	Improved multi-kernel classification machine with Nyström approximation technique. Pattern Recognit. Changming Zhu, Daqi Gao
2015	J	`jnl`	MPEKDyL: Efficient multi-partial empirical kernel dynamic learning. Knowl. Based Syst. Qi Fan, Zhe Wang, Daqi Gao, Dongdong Li
2015	J	`jnl`	Matrixized learning machine with modified pairwise constraints. Pattern Recognit. Yujin Zhu, Zhe Wang, Daqi Gao
2015	J	`jnl`	McMatMHKS: A direct multi-class matrixized learning machine. Knowl. Based Syst. Zhe Wang, Yun Meng, Yujin Zhu, Qi Fan, Songcan Chen, Daqi Gao
2015	J	`jnl`	Multiple Empirical Kernel Learning with dynamic pairwise constraints. Appl. Soft Comput. Zhe Wang, Qi Fan, Daqi Gao
2015	J	`jnl`	Multiple Matrix Learning Machine with Five Aspects of Pattern Information. Knowl. Based Syst. Changming Zhu, Daqi Gao
2015	J	`jnl`	Structural multiple empirical kernel learning. Inf. Sci. Zhe Wang, Qi Fan, Sheng Ke, Daqi Gao
2015	B	`conf`	Threshold optimization of pseudo-inverse linear discriminants based on overall accuracies. IJCNN Tian Tian, Ji Wang, Daqi Gao
2014	J	`jnl`	Cost-Sensitive Multi-View Learning Machine. Int. J. Pattern Recognit. Artif. Intell. Zhe Wang, Mingzhe Lu, Zengxin Niu, Xiangyang Xue, Daqi Gao
2014	—	`conf`	Effective Chinese Organization Name Linking to a List-Like Knowledge Base. CSWS Chengyuan Xue, Haofen Wang, Bo Jin, Mengjie Wang, Daqi Gao
2014	J	`jnl`	Globalized and localized matrix-pattern-oriented classification machine. Appl. Soft Comput. Zhe Wang, Yujin Zhu, Daqi Gao, Weibin Guo
2014	J	`jnl`	Integrated Fisher linear discriminants: An empirical study. Pattern Recognit. Daqi Gao, Jun Ding, Changming Zhu
2014	J	`jnl`	Multi-kernel classification machine with reduced complexity. Knowl. Based Syst. Zhe Wang, Changming Zhu, Zengxin Niu, Daqi Gao, Xiang Feng
2014	J	`jnl`	Multi-view learning with Universum. Knowl. Based Syst. Zhe Wang, Yujin Zhu, Wenwen Liu, Zhihua Chen, Daqi Gao
2014	J	`jnl`	Resolution of the Gibbs Phenomenon for Fractional Fourier Series. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Hongqing Zhu, Meiyu Ding, Daqi Gao
2013	J	`jnl`	A novel multiple Nyström-approximating kernel discriminant analysis. Neurocomputing Zhe Wang, Wenbo Jie, Daqi Gao
2013	J	`jnl`	An efficient Kernel-based matrixized least squares support vector machine. Neural Comput. Appl. Zhe Wang, Xisheng He, Daqi Gao, Xiangyang Xue
2013	J	`jnl`	ChemMapper: a versatile web server for exploring pharmacology and chemical structure association based on molecular 3D similarity method. Bioinform. Jiayu Gong, Chaoqian Cai, Xiaofeng Liu, Xin Ku, Hualiang Jiang, Daqi Gao, Honglin Li
2013	B	`conf`	Dynamic learning algorithm of multi-layer perceptrons for letter recognition. IJCNN Qin Feng, Daqi Gao
2013	B	`conf`	Iterative learning of Fisher linear discriminants for handwritten digit recognition. IJCNN Qin Feng, Daqi Gao
2013	J	`jnl`	Multiple empirical kernel learning based on local information. Neural Comput. Appl. Zhe Wang, Jin Xu, Daqi Gao, Yu Fu
2013	J	`jnl`	PTID: an integrated web resource and computational tool for agrochemical discovery. Bioinform. Jiayu Gong, Xiaofeng Liu, Xianwen Cao, Yanyan Diao, Daqi Gao, Honglin Li, Xuhong Qian
2013	J	`jnl`	Random projection ensemble learning with multiple empirical kernels. Knowl. Based Syst. Zhe Wang, Wenbo Jie, Songcan Chen, Daqi Gao
2013	J	`jnl`	SimG: An Alignment Based Method for Evaluating the Similarity of Small Molecules and Binding Sites. J. Chem. Inf. Model. Chaoqian Cai, Jiayu Gong, Xiaofeng Liu, Daqi Gao, Honglin Li
2013	J	`jnl`	Three-fold structured classifier design based on matrix pattern. Pattern Recognit. Zhe Wang, Changming Zhu, Daqi Gao, Songcan Chen
2012	J	`jnl`	Performance evaluation of multilayer perceptrons for discriminating and quantifying multiple kinds of odors with an electronic nose. Neural Networks Daqi Gao, Zeping Yang, Chaoqian Cai, Fangjun Liu
2012	J	`jnl`	Regularized multi-view learning machine based on response surface technique. Neurocomputing Zhe Wang, Jin Xu, Songcan Chen, Daqi Gao
2011	J	`jnl`	A novel multi-view classifier based on Nyström approximation. Expert Syst. Appl. Zhe Wang, Songcan Chen, Daqi Gao
2011	J	`jnl`	A novel multi-view learning developed from single-view patterns. Pattern Recognit. Zhe Wang, Songcan Chen, Daqi Gao
2010	—	`conf`	An Effective Support Vector Data Description with Relevant Metric Learning. ISNN (2) Zhe Wang, Daqi Gao, Zhisong Pan
2010	—	`conf`	Discriminant Support Vector Data Description. IWACI Zhe Wang, Daqi Gao
2009	—	`conf`	A New Bio-inspired Approach to the Traveling Salesman Problem. Complex (2) Xiang Feng, Francis C. M. Lau, Daqi Gao
2009	—	`conf`	A Novel Matrix-Pattern-Oriented Ho-Kashyap Classifier with Locally Spatial Smoothness. ISNN (4) Zhe Wang, Songcan Chen, Daqi Gao
2009	—	`conf`	Cache Allocation in CDN: An Evolutionary Game Generalized Particle Model. Complex (2) Xiang Feng, Francis C. M. Lau, Daqi Gao
2009	—	`conf`	Optimization Using a New Bio-inspired Approach. Complex (1) Xiang Feng, Francis C. M. Lau, Daqi Gao
2008	B	`conf`	Modular neural networks for estimating odor concentrations. IJCNN Daqi Gao, Zeping Yang, Jianli Sun
2007	B	`conf`	Class-modular multi-layer perceptions, task decomposition and virtually balanced training subsets. IJCNN Daqi Gao, Wei Wang, Jianliang Gao
2007	B	`conf`	Function approximation model ensembles and their application to the simultaneous determination of sample categories and positions. IJCNN Daqi Gao, Xiaoning Sun
2007	—	`conf`	Parallel-Series Perceptrons for the Simultaneous Determination of Odor Classes and Concentrations. ICANN (2) Daqi Gao, Jianli Sun, Xiaoyan Li
2007	B	`conf`	Support vector machine classifiers using RBF kernels with clustering-based centers and widths. IJCNN Daqi Gao, Tao Zhang
2007	J	`jnl`	Task decomposition and modular single-hidden-layer perceptron classifiers for multi-class learning problems. Pattern Recognit. Daqi Gao, Li Chunxia, Yang Yunfan
2006	B	`conf`	A Mixed Parallel Perceptron Classifier and Several Application problems. IJCNN Daqi Gao, Li Hao, Chen Wei
2006	B	`conf`	Kernel Fisher Discriminants and Kernel Nearest Neighbor Classifiers: A Comparative Study for Large-Scale Learning Problems. IJCNN Daqi Gao, Li Jie
2005	B	`conf`	A Kind of Fuzzily Combinative Classifiers for Solving Large-Scale Learning Problems. FUZZ-IEEE Daqi Gao, Shangming Zhu
2005	—	`conf`	A Modular Single-Hidden-Layer Perceptron for Letter Recognition. ICANN (1) Daqi Gao, Shangming Zhu, Wenbing Gu
2005	B	`conf`	A classifier ensemble model and its applications. IJCNN Daqi Gao, Shangming Zhu, Wei Chen, Yongli Li
2005	B	`conf`	A combinative function approximation model and its applications to electronic noses. IJCNN Daqi Gao, Tong Zhen, Li Yongli
2005	B	`conf`	A single-layer radial basis function network classifier and its applications. IJCNN Daqi Gao, Mingming Chen, Yongli Li
2005	B	`conf`	An improved kernel Fisher discriminant classifier and its applications. IJCNN Daqi Gao, Zhen Wang, Yongli Li
2005	J	`jnl`	Classification methodologies of multilayer perceptrons with sigmoid activation functions. Pattern Recognit. Daqi Gao, Ji Yan
2005	B	`conf`	Fuzzily Modular Multilayer Perceptron Classifiers for Large-Scale Learning Problems. FUZZ-IEEE Daqi Gao, Yang Yunfan
2005	B	`conf`	Fuzzily modular single-layer RBF neural networks for solving large-scale classification problems. FUZZ-IEEE Daqi Gao, Tong Zhen
2004	B	`conf`	Adaptive task decomposition and modular multilayer perceptrons for letter recognition. IJCNN Daqi Gao, Renliang Li, Guiping Nie, Changwu Li
2004	B	`conf`	Frequency domain analysis based RBF networks and their applications to function approximations. IJCNN Daqi Gao, Ji Yan, Changwu Li
2004	B	`conf`	Simultaneous estimation of odor classes and concentrations using an electronic nose. IJCNN Daqi Gao, Qin Miao, Guiping Nie
2003	B	`conf`	Combinative neural-network-based classifiers for optical handwritten character and letter recognition. IJCNN Daqi Gao, Chao Xie, Guiping Nie
2003	J	`jnl`	Influences of variable scales and activation functions on the performances of multilayer feedforward neural networks. Pattern Recognit. Daqi Gao, Yang Genxing
2003	B	`conf`	On the transformation mechanisms of multilayer perceptrons with sigmoid activation functions for classifications. IJCNN Daqi Gao, Haijun Zhu, Guping Nie
1998	J	`jnl`	An Optimization Method For The Topological Structures Of Feed-Forward Multi-Layer Neural Networks. Pattern Recognit. Daqi Gao, Wu Shouyi