According to our database1, Xiaoqin Zeng authored at least 58 papers between 2000 and 2018.
Legend:Book In proceedings Article PhD thesis Other
A temporal graph grammar formalism.
J. Vis. Lang. Comput., 2018
A graph grammar-based approach for graph layout.
Softw., Pract. Exper., 2018
Spatial specification and reasoning using grammars: from theory to application.
Spatial Cognition & Computation, 2018
Local Patch Vectors Encoded by Fisher Vectors for Image Classification.
A feature selection approach based on sensitivity of RBFNNs.
Quantitative spatial semantics in a graph grammar formalism.
Proceedings of the 3rd International Workshop on Interactive and Spatial Computing, 2018
A New Local Bipolar Autoassociative Memory Based on External Inputs of Discrete Recurrent Neural Networks With Time Delay.
IEEE Trans. Neural Netw. Learning Syst., 2017
Partial precedence of context-sensitive graph grammars.
Proceedings of the 10th International Symposium on Visual Information Communication and Interaction, 2017
A unified associative memory model based on external inputs of continuous recurrent neural networks.
Bidirectional transformation between BPMN and BPEL with graph grammar.
Computers & Electrical Engineering, 2016
Recommender systems based on social networks.
Journal of Systems and Software, 2015
A generalized bipolar auto-associative memory model based on discrete recurrent neural networks.
Anefficient learning algorithm for binary feedforward neural networks.
Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015
Subimage Cosegmentation in a Single White Blood Cell Image.
Proceedings of the 7th International Conference on Computational Intelligence, 2015
Adaptive data fusion methods in information retrieval.
Sensitivity study of Binary Feedforward Neural Networks.
A Parallel Approach to Link Sign Prediction in Large-Scale Online Social Networks.
Comput. J., 2014
Effective Neural Network Ensemble Approach for Improving Generalization Performance.
IEEE Trans. Neural Netw. Learning Syst., 2013
A supervised multi-spike learning algorithm based on gradient descent for spiking neural networks.
Neural Networks, 2013
A New Supervised Learning Algorithm for Spiking Neurons.
Neural Computation, 2013
Computation of multilayer perceptron sensitivity to input perturbation.
Sensitivity-Based Adaptive Learning Rules for Binary Feedforward Neural Networks.
IEEE Trans. Neural Netw. Learning Syst., 2012
A Modular Hierarchical Reinforcement Learning Algorithm.
Proceedings of the Intelligent Computing Theories and Applications, 2012
Detection of concentric ellipses with the same orientation.
Proceedings of the Fourth International Conference on Digital Image Processing, 2012
Condorcet Fusion for Blog Opinion Retrieval.
Proceedings of the 23rd International Workshop on Database and Expert Systems Applications, 2012
A New Diverse Measure in Ensemble Learning Using Unlabeled Data.
Proceedings of the Fourth International Conference on Computational Intelligence, 2012
A global evaluation criterion for feature selection in text categorization using Kullback-Leibler divergence.
Proceedings of the Third International Conference of Soft Computing and Pattern Recognition, 2011
Algorithm of matching webpage and multi-domain ontology.
Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011
The Linear Combination Data Fusion Method in Information Retrieval.
Proceedings of the Database and Expert Systems Applications, 2011
An Improved ID3 Based on Weighted Modified Information Gain.
Proceedings of the Seventh International Conference on Computational Intelligence and Security, 2011
Using the Euclidean Distance for Retrieval Evaluation.
Proceedings of the Advances in Databases - 28th British National Conference on Databases, 2011
Uml-Based Modeling and Analysis of Security Threats.
International Journal of Software Engineering and Knowledge Engineering, 2010
Approximate computation of Madaline sensitivity based on discrete stochastic technique.
SCIENCE CHINA Information Sciences, 2010
Adaptive Traffic Light Control in Wireless Sensor Network-Based Intelligent Transportation System.
Proceedings of the 72nd IEEE Vehicular Technology Conference, 2010
Retrieval Result Presentation and Evaluation.
Proceedings of the Knowledge Science, 2010
A quantified sensitivity measure of Radial Basis Function Neural Networks to input variation.
Proceedings of the International Joint Conference on Neural Networks, 2010
A sensitivity-based approach for pruning architecture of Madalines.
Neural Computing and Applications, 2009
Assigning appropriate weights for the linear combination data fusion method in information retrieval.
Inf. Process. Manage., 2009
Constructing Confluent Context-sensitive Graph Grammars from Non-confluent Productions for Parsing Efficiency.
Proceedings of the Visual Information Communication, 2009
A Sensitivity-Based Training Algorithm with Architecture Adjusting for Madalines.
Proceedings of the IEEE International Conference on Systems, 2009
Classifier learning with a new locality regularization method.
Pattern Recognition, 2008
Performance Weights for the Linear Combination Data Fusion Method in Information Retrieval.
Proceedings of the Foundations of Intelligent Systems, 17th International Symposium, 2008
A Novel Ensemble Approach for Improving Generalization Ability of Neural Networks.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2008
The Experiments with the Linear Combination Data Fusion Method in Information Retrieval.
Proceedings of the Progress in WWW Research and Development, 2008
Neural network ensemble pruning using sensitivity measure in web applications.
Proceedings of the IEEE International Conference on Systems, 2007
Ensemble Learning Based on the Output Sensitivity of Multilayer Perceptrons.
Proceedings of the International Joint Conference on Neural Networks, 2007
Spatial graph grammars for graphical user interfaces.
ACM Trans. Comput.-Hum. Interact., 2006
Computation of Adalines' sensitivity to weight perturbation.
IEEE Trans. Neural Networks, 2006
Computation of Madalines' Sensitivity to Input and Weight Perturbations.
Neural Computation, 2006
Hidden neuron pruning of multilayer perceptrons using a quantified sensitivity measure.
Using a Sensitivity Measure to Improve Training Accuracy and Convergence for Madalines.
Proceedings of the International Joint Conference on Neural Networks, 2006
RGG+: An Enhancement to the Reserved Graph Grammar Formalism.
Proceedings of the 2005 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC 2005), 2005
Sensitivity Analysis of Madalines to Weight Perturbation.
Proceedings of the Advances in Machine Learning and Cybernetics, 2005
A Quantified Sensitivity Measure for Multilayer Perceptron to Input Perturbation.
Neural Computation, 2003
Determining the relevance of input features for multilayer perceptrons.
Proceedings of the IEEE International Conference on Systems, 2003
Sensitivity analysis of multilayer perceptron to input and weight perturbations.
IEEE Trans. Neural Networks, 2001
Sensitivity Analysis of Multilayer Perceptron.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001
Sensitivity analysis of multilayer perceptron to input perturbation.
Proceedings of the IEEE International Conference on Systems, 2000