Daqi Gao

According to our database1, Daqi Gao authored at least 77 papers between 2005 and 2021.

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Bibliography

2021
Exploiting the potentialities of features for speech emotion recognition.
Inf. Sci., 2021

2020
Five Typical Stenches Detection Using an Electronic Nose.
Sensors, 2020

EEG classification using sparse Bayesian extreme learning machine for brain-computer interface.
Neural Comput. Appl., 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).
计算机科学, 2020

Multiple Random Empirical Kernel Learning with Margin Reinforcement for imbalance problems.
Eng. Appl. Artif. Intell., 2020

2019
Locality Density-Based Fuzzy Multiple Empirical Kernel Learning.
Neural Process. Lett., 2019

Incorporating dictionaries into deep neural networks for the Chinese clinical named entity recognition.
J. Biomed. Informatics, 2019

ISCP: An Improved Blockchain Consensus Protocol.
Int. J. Netw. Secur., 2019

Support Vector Data Description with Fractional Order Kernel.
Proceedings of the 4th International Conference on Machine Learning Technologies, 2019

2018
Boundary-Eliminated Pseudoinverse Linear Discriminant for Imbalanced Problems.
IEEE Trans. Neural Networks Learn. Syst., 2018

A fast BP networks with dynamic sample selection for handwritten recognition.
Pattern Anal. Appl., 2018

Regularized fisher linear discriminant through two threshold variation strategies for imbalanced problems.
Knowl. Based Syst., 2018

PatientEG Dataset: Bringing Event Graph Model with Temporal Relations to Electronic Medical Records.
CoRR, 2018

Recurrent Capsule Network for Relations Extraction: A Practical Application to the Severity Classification of Coronary Artery Disease.
CoRR, 2018

An Attention-based BI-GRU-CapsNet Model for Hypernymy Detection between Compound Entities.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Automatic Severity Classification of Coronary Artery Disease via Recurrent Capsule Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
MREKLM: A fast multiple empirical kernel learning machine.
Pattern Recognit., 2017

Regularized Matrix-Pattern-Oriented Classification Machine with Universum.
Neural Process. Lett., 2017

A novel learning algorithm of single-hidden-layer feedforward neural networks.
Neural Comput. Appl., 2017

Entropy-based fuzzy support vector machine for imbalanced datasets.
Knowl. Based Syst., 2017

GMFLLM: A general manifold framework unifying three classic models for dimensionality reduction.
Eng. Appl. Artif. Intell., 2017

Advanced pseudo-inverse linear discriminants for the improvement of classification accuracies.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Matrixized Learning Machine with Feature-Clustering Interpolation.
Neural Process. Lett., 2016

Pseudo-inverse linear discriminants for the improvement of overall classification accuracies.
Neural Networks, 2016

New design goal of a classifier: Global and local structural risk minimization.
Knowl. Based Syst., 2016

Multiple empirical kernel learning with locality preserving constraint.
Knowl. Based Syst., 2016

Influence of Data Preprocessing.
J. Comput. Sci. Eng., 2016

One-sided Dynamic Undersampling No-Propagation Neural Networks for imbalance problem.
Eng. Appl. Artif. Intell., 2016

A dynamic data correction algorithm based on polynomial smooth support vector machine.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

2015
Matrixized learning machine with modified pairwise constraints.
Pattern Recognit., 2015

Improved multi-kernel classification machine with Nyström approximation technique.
Pattern Recognit., 2015

A modified kernel clustering method with multiple factors.
Pattern Anal. Appl., 2015

An Efficient and Effective Multiple Empirical Kernel Learning Based on Random Projection.
Neural Process. Lett., 2015

Gravitational fixed radius nearest neighbor for imbalanced problem.
Knowl. Based Syst., 2015

Multiple Matrix Learning Machine with Five Aspects of Pattern Information.
Knowl. Based Syst., 2015

McMatMHKS: A direct multi-class matrixized learning machine.
Knowl. Based Syst., 2015

MPEKDyL: Efficient multi-partial empirical kernel dynamic learning.
Knowl. Based Syst., 2015

Double-fold localized multiple matrixized learning machine.
Inf. Sci., 2015

Structural multiple empirical kernel learning.
Inf. Sci., 2015

Globalized and localized canonical correlation analysis with multiple empirical kernel mapping.
Neurocomputing, 2015

Multiple Empirical Kernel Learning with dynamic pairwise constraints.
Appl. Soft Comput., 2015

Threshold optimization of pseudo-inverse linear discriminants based on overall accuracies.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Integrated Fisher linear discriminants: An empirical study.
Pattern Recognit., 2014

Multi-kernel classification machine with reduced complexity.
Knowl. Based Syst., 2014

Multi-view learning with Universum.
Knowl. Based Syst., 2014

Cost-Sensitive Multi-View Learning Machine.
Int. J. Pattern Recognit. Artif. Intell., 2014

Resolution of the Gibbs Phenomenon for Fractional Fourier Series.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2014

Globalized and localized matrix-pattern-oriented classification machine.
Appl. Soft Comput., 2014

Effective Chinese Organization Name Linking to a List-Like Knowledge Base.
Proceedings of the Semantic Web and Web Science - 8th Chinese Conference, 2014

2013
Three-fold structured classifier design based on matrix pattern.
Pattern Recognit., 2013

Multiple empirical kernel learning based on local information.
Neural Comput. Appl., 2013

An efficient Kernel-based matrixized least squares support vector machine.
Neural Comput. Appl., 2013

Random projection ensemble learning with multiple empirical kernels.
Knowl. Based Syst., 2013

SimG: An Alignment Based Method for Evaluating the Similarity of Small Molecules and Binding Sites.
J. Chem. Inf. Model., 2013

A novel multiple Nyström-approximating kernel discriminant analysis.
Neurocomputing, 2013

PTID: an integrated web resource and computational tool for agrochemical discovery.
Bioinform., 2013

ChemMapper: a versatile web server for exploring pharmacology and chemical structure association based on molecular 3D similarity method.
Bioinform., 2013

Iterative learning of Fisher linear discriminants for handwritten digit recognition.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Dynamic learning algorithm of multi-layer perceptrons for letter recognition.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
Performance evaluation of multilayer perceptrons for discriminating and quantifying multiple kinds of odors with an electronic nose.
Neural Networks, 2012

Regularized multi-view learning machine based on response surface technique.
Neurocomputing, 2012

2011
A novel multi-view learning developed from single-view patterns.
Pattern Recognit., 2011

A novel multi-view classifier based on Nyström approximation.
Expert Syst. Appl., 2011

2010
An Effective Support Vector Data Description with Relevant Metric Learning.
Proceedings of the Advances in Neural Networks, 2010

Discriminant Support Vector Data Description.
Proceedings of the Third International Workshop on Advanced Computational Intelligence, 2010

2009
A Novel Matrix-Pattern-Oriented Ho-Kashyap Classifier with Locally Spatial Smoothness.
Proceedings of the Sixth International Symposium on Neural Networks, 2009

A New Bio-inspired Approach to the Traveling Salesman Problem.
Proceedings of the Complex Sciences, 2009

Cache Allocation in CDN: An Evolutionary Game Generalized Particle Model.
Proceedings of the Complex Sciences, 2009

Optimization Using a New Bio-inspired Approach.
Proceedings of the Complex Sciences, 2009

2008
Modular neural networks for estimating odor concentrations.
Proceedings of the International Joint Conference on Neural Networks, 2008

2007
Function approximation model ensembles and their application to the simultaneous determination of sample categories and positions.
Proceedings of the International Joint Conference on Neural Networks, 2007

Class-modular multi-layer perceptions, task decomposition and virtually balanced training subsets.
Proceedings of the International Joint Conference on Neural Networks, 2007

Support vector machine classifiers using RBF kernels with clustering-based centers and widths.
Proceedings of the International Joint Conference on Neural Networks, 2007

Parallel-Series Perceptrons for the Simultaneous Determination of Odor Classes and Concentrations.
Proceedings of the Artificial Neural Networks, 2007

2006
A Mixed Parallel Perceptron Classifier and Several Application problems.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
A Modular Single-Hidden-Layer Perceptron for Letter Recognition.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

A Kind of Fuzzily Combinative Classifiers for Solving Large-Scale Learning Problems.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005


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