John Q. Gan

According to our database, John Q. Gan authored at least 96 papers between 1997 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Reliable and fast automatic artifact rejection of Long-Term EEG recordings based on Isolation Forest.

Runkai Zhang, Rong Rong, John Q. Gan, Yun Xu, Haixian Wang, Xiaoyun Wang

Medical Biol. Eng. Comput., February, 2024

Integration of Feature and Decision Fusion With Deep Learning Architectures for Video Classification.

Rukiye Savran Kiziltepe, John Q. Gan, Juan José Escobar

IEEE Access, 2024

2023

A novel keyframe extraction method for video classification using deep neural networks.

Rukiye Savran Kiziltepe, John Q. Gan, Juan José Escobar

Neural Comput. Appl., December, 2023

Motor Imagery EEG Classification Based on a Weighted Multi-Branch Structure Suitable for Multisubject Data.

Huiyang Wang, Jiuchuan Jiang, John Q. Gan, Haixian Wang

IEEE Trans. Biomed. Eng., November, 2023

Multi-filter semi-supervised transformer model for fault diagnosis.

Xuemin Tan, Jun Qi, John Q. Gan, Jianglin Zhang, Chao Guo, Fu Wan, Ke Wang

Eng. Appl. Artif. Intell., 2023

SIA-SMOTE: A SMOTE-Based Oversampling Method with Better Interpolation on High-Dimensional Data by Using a Siamese Network.

Rahmat Izwan Heroza, John Q. Gan, Haider Raza

Proceedings of the Advances in Computational Intelligence, 2023

2022

Boosting Facial Emotion Recognition by Using GANs to Augment Small Facial Expression Dataset.

Shih-Kai Hung, John Q. Gan

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Optimization of Deep Architectures for EEG Signal Classification: An AutoML Approach Using Evolutionary Algorithms.

Diego A. Aquino Brítez, Andrés Ortiz, Julio Ortega, Javier León, Marco A. Formoso, John Q. Gan, Juan José Escobar

Sensors, 2021

Small facial image dataset augmentation using conditional GANs based on incomplete edge feature input.

Shih-Kai Hung, John Q. Gan

PeerJ Comput. Sci., 2021

Facial Image Augmentation from Sparse Line Features Using Small Training Data.

Shih-Kai Hung, John Q. Gan

Proceedings of the Advances in Computational Intelligence, 2021

2020

Neural networks and learning systems for human machine interfacing.

Zhaojie Ju, Jinguo Liu, Yongan Huang, Naoyuki Kubota, John Q. Gan

Neurocomputing, 2020

Adaptation of Common Spatial Patterns based on mental fatigue for motor-imagery BCI.

Upasana Talukdar, Shyamanta M. Hazarika, John Q. Gan

Biomed. Signal Process. Control., 2020

Hybrid approaches to feature subset selection for data classification in high-dimensional feature space.

Maysa Ibrahem Almulla Khalaf, John Q. Gan

Artif. Intell. Res., 2020

Essex-NLIP at MediaEval Predicting Media Memorability 2020 Task.

Janadhip Jacutprakart, Rukiye Savran Kiziltepe, John Q. Gan, Giorgos Papanastasiou, Alba Garcia Seco de Herrera

Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

Simple Effective Methods for Decision-Level Fusion in Two-Stream Convolutional Neural Networks for Video Classification.

Rukiye Savran Kiziltepe, John Q. Gan

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

One-Shot Only Real-Time Video Classification: A Case Study in Facial Emotion Recognition.

Arwa M. Basbrain, John Q. Gan

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

Augmentation of Small Training Data Using GANs for Enhancing the Performance of Image Classification.

Shih-Kai Hung, John Q. Gan

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Motor imagery and mental fatigue: inter-relationship and EEG based estimation.

Upasana Talukdar, Shyamanta M. Hazarika, John Q. Gan

J. Comput. Neurosci., 2019

A new multi-objective wrapper method for feature selection - Accuracy and stability analysis for BCI.

Jesús González, Julio Ortega, Miguel Damas, Pedro Martín-Smith, John Q. Gan

Neurocomputing, 2019

A three-stage learning algorithm for deep multilayer perceptron with effective weight initialisation based on sparse auto-encoder.

Maysa Ibrahem Almulla Khalaf, John Q. Gan

Artif. Intell. Res., 2019

Combining Very Deep Convolutional Neural Networks and Recurrent Neural Networks for Video Classification.

Rukiye Savran Kiziltepe, John Q. Gan, Juan José Escobar

Proceedings of the Advances in Computational Intelligence, 2019

Energy-Time Analysis of Convolutional Neural Networks Distributed on Heterogeneous Clusters for EEG Classification.

Juan José Escobar, Julio Ortega, Miguel Damas, Rukiye Savran Kiziltepe, John Q. Gan

Proceedings of the Advances in Computational Intelligence, 2019

A Rough Set Classifier Based on Discretization and Attribute Selection.

Yingjuan Sun, Dongbing Pu, Dongbing Gu, John Q. Gan, Kun Yang

Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019

2018

A Kernel Partial least square based feature selection method.

Upasana Talukdar, Shyamanta M. Hazarika, John Q. Gan

Pattern Recognit., 2018

Collective sparse symmetric non-negative matrix factorization for identifying overlapping communities in resting-state brain functional networks.

Xuan Li, John Q. Gan, Haixian Wang

NeuroImage, 2018

Deep Classifier Structures with Autoencoder for Higher-level Feature Extraction.

Maysa I. A. Almulla Khalaf, John Q. Gan

Proceedings of the 10th International Joint Conference on Computational Intelligence, 2018

Prediction of the 2017 French Election Based on Twitter Data Analysis Using Term Weighting.

Lei Wang, John Q. Gan

Proceedings of the 2018 10th Computer Science and Electronic Engineering Conference, 2018

A Neural Network Approach to Score Fusion for Emotion Recognition.

Arwa Mohammed Basbrain, John Q. Gan, Akihiro Sugimoto, Adrian F. Clark

Proceedings of the 2018 10th Computer Science and Electronic Engineering Conference, 2018

2017

A supervised filter method for multi-objective feature selection in EEG classification based on multi-resolution analysis for BCI.

Pedro Martín-Smith, Julio Ortega, Javier Asensio-Cubero, John Q. Gan, Andrés Ortiz

Neurocomputing, 2017

Re-ranking Google search returned web documents using document classification scores.

Suthira Plansangket, John Q. Gan

Artif. Intell. Res., 2017

Deep Belief Networks and Multiobjective Feature Selection for BCI with Multiresolution Analysis.

Julio Ortega, Andrés Ortiz, Pedro Martín-Smith, John Q. Gan, Jesús González Peñalver

Proceedings of the Advances in Computational Intelligence, 2017

A Parallel Island Approach to Multiobjective Feature Selection for Brain-Computer Interfaces.

Julio Ortega, Dragi Kimovski, John Q. Gan, Andrés Ortiz, Miguel Damas

Proceedings of the Advances in Computational Intelligence, 2017

Identifying Intrinsic Phase Lag in EEG Signals from the Perspective of Wilcoxon Signed-Rank Test.

Yunqiao Wu, John Q. Gan, Haixian Wang

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Accuracy Enhancement of the Viola-Jones Algorithm for Thermal Face Detection.

Arwa M. Basbrain, John Q. Gan, Adrian F. Clark

Proceedings of the Intelligent Computing Methodologies - 13th International Conference, 2017

Prediction of the 2017 French election based on Twitter data analysis.

Lei Wang, John Q. Gan

Proceedings of the 2017 9th Computer Science and Electronic Engineering Conference, 2017

Shallow convolutional neural network for eyeglasses detection in facial images.

Arwa M. Basbrain, Inas Al-Taie, Nassr Azeez, John Q. Gan, Adrian F. Clark

Proceedings of the 2017 9th Computer Science and Electronic Engineering Conference, 2017

2016

Multiresolution analysis over graphs for a motor imagery based online BCI game.

Javier Asensio-Cubero, John Q. Gan, Ramaswamy Palaniappan

Comput. Biol. Medicine, 2016

Class-specific pre-trained sparse autoencoders for learning effective features for document classification.

Maysa I. Abdulhussain, John Q. Gan

Proceedings of the 2016 8th Computer Science and Electronic Engineering Conference, 2016

2015

A co-training algorithm based on modified Fisher's linear discriminant analysis.

Xue-Min Tan, Min-You Chen, John Q. Gan

Intell. Data Anal., 2015

A query suggestion method combining TF-IDF and Jaccard Coefficient for interactive web search.

Suthira Plansangket, John Q. Gan

Artif. Intell. Res., 2015

Evolutionary Multiobjective Feature Selection in Multiresolution Analysis for BCI.

Julio Ortega, Javier Asensio-Cubero, John Q. Gan, Andrés Ortiz

Proceedings of the Bioinformatics and Biomedical Engineering, 2015

A Label-Aided Filter Method for Multi-objective Feature Selection in EEG Classification for BCI.

Pedro Martín-Smith, Julio Ortega Lopera, Javier Asensio-Cubero, John Q. Gan, Andrés Ortiz

Proceedings of the Advances in Computational Intelligence, 2015

cBDI-based Collaborative Control for a Robotic Wheelchair.

Adity Saikia, Md. Arif Khan, Sumant Pusph, Syed Ibtisam Tauhidi, Rupam Bhattacharyya, Shyamanta M. Hazarika, John Q. Gan

Proceedings of the Proceeding of the Seventh International Conference on Intelligent Human Computer Interaction, 2015

2014

A filter-dominating hybrid sequential forward floating search method for feature subset selection in high-dimensional space.

John Q. Gan, Bashar Awwad Shiekh Hasan, Chun Sing Louis Tsui

Int. J. Mach. Learn. Cybern., 2014

A novel fuzzy logic approach to online exposure time calculation of line scan cameras in industrial inspection.

Hossein Farid Ghassem Nia, Huosheng Hu, John Q. Gan

Int. J. Model. Identif. Control., 2014

Wavelet Lifting over Information-Based EEG Graphs for Motor Imagery Data Classification.

Javier Asensio-Cubero, John Q. Gan, Ramaswamy Palaniappan

Proceedings of the Physiological Computing Systems, 2014

Multiresolution Analysis of an Information based EEG Graph Representation for Motor Imagery Brain Computer Interfaces.

Javier Asensio-Cubero, John Q. Gan, Ramaswamy Palaniappan

Proceedings of the PhyCS 2014, 2014

CSP-Based EEG Analysis on Dissociated Brain Organization for Single-Digit Addition and Multiplication.

Lihan Wang, John Q. Gan, Haixian Wang

Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

Performance Evaluation of State-of-the-Art Ranked Retrieval Methods and Their Combinations for Query Suggestion.

Suthira Plansangket, John Q. Gan

Proceedings of the KDIR 2014 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Rome, Italy, 21, 2014

2013

Extracting optimal tempo-spatial features using local discriminant bases and common spatial patterns for brain computer interfacing.

Javier Asensio-Cubero, John Q. Gan, Ramaswamy Palaniappan

Biomed. Signal Process. Control., 2013

EEG-Based Cortical Localization of Neural Efficiency Related to Mathematical Giftedness.

Li Zhang, Haixian Wang, John Q. Gan

Proceedings of the Neural Information Processing - 20th International Conference, 2013

Performance analysis of multi-frequency SSVEP-BCI using clear and frosted colour LED stimuli.

Surej Mouli, Ramaswamy Palaniappan, Ian P. Sillitoe, John Q. Gan

Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013

2012

Hangman BCI: An unsupervised adaptive self-paced Brain-Computer Interface for playing games.

Bashar Awwad Shiekh Hasan, John Q. Gan

Comput. Biol. Medicine, 2012

Anomalous pattern based clustering of mental tasks with subject independent learning - some preliminary results.

Renato Cordeiro de Amorim, Boris G. Mirkin, John Q. Gan

Artif. Intell. Res., 2012

Continuous presentation for multi-objective channel selection in Brain-Computer Interfaces.

Noura Al Moubayed, Bashar Awwad Shiekh Hasan, John Q. Gan, Andrei Petrovski, John A. W. McCall

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011

Bayesian inference for an adaptive Ordered Probit model: An application to Brain Computer Interfacing.

Ji Won Yoon, Stephen J. Roberts, Matthew Dyson, John Q. Gan

Neural Networks, 2011

A Hybrid Approach to Feature Subset Selection for Brain-Computer Interface Design.

John Q. Gan, Bashar Awwad Shiekh Hasan, Chun Sing Louis Tsui

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

2010

Unsupervised movement onset detection from EEG recorded during self-paced real hand movement.

Bashar Awwad Shiekh Hasan, John Q. Gan

Medical Biol. Eng. Comput., 2010

Multi-objective evolutionary methods for channel selection in Brain-Computer Interfaces: Some preliminary experimental results.

Bashar Awwad Shiekh Hasan, John Q. Gan, Qingfu Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009

Extracting Takagi-Sugeno Fuzzy Rules with Interpretable Submodels via Regularization of Linguistic Modifiers.

Shang-Ming Zhou, John Q. Gan

IEEE Trans. Knowl. Data Eng., 2009

Adaptive classification for Brain Computer Interface systems using Sequential Monte Carlo sampling.

Ji Won Yoon, Stephen J. Roberts, Matthew Dyson, John Q. Gan

Neural Networks, 2009

A self-paced brain-computer interface for controlling a robot simulator: an online event labelling paradigm and an extended Kalman filter based algorithm for online training.

Chun Sing Louis Tsui, John Q. Gan, Stephen J. Roberts

Medical Biol. Eng. Comput., 2009

Fuzziness index driven fuzzy relaxation algorithm and applications to image processing.

Shang-Ming Zhou, John Q. Gan, Lida Xu, Robert Ivor John

Ann. Oper. Res., 2009

Sequential EM for Unsupervised Adaptive Gaussian Mixture Model Based Classifier.

Bashar Awwad Shiekh Hasan, John Q. Gan

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

2008

Classifying mental tasks based on features of higher-order statistics from EEG signals in brain-computer interface.

Shang-Ming Zhou, John Q. Gan, Francisco Sepulveda

Inf. Sci., 2008

Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling.

Shang-Ming Zhou, John Q. Gan

Fuzzy Sets Syst., 2008

A Novel Design of 4-Class BCI Using Two Binary Classifiers and Parallel Mental Tasks.

Tao Geng, John Q. Gan, Matthew Dyson, Chun Sing Louis Tsui, Francisco Sepulveda

Comput. Intell. Neurosci., 2008

Sequential Bayesian estimation for adaptive classification.

Ji Won Yoon, Stephen J. Roberts, Matthew Dyson, John Q. Gan

Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2008

Adaptive Classification by Hybrid EKF with Truncated Filtering: Brain Computer Interfacing.

Ji Won Yoon, Stephen J. Roberts, Matthew Dyson, John Q. Gan

Proceedings of the Intelligent Data Engineering and Automated Learning, 2008

2007

Constructing L2-SVM-Based Fuzzy Classifiers in High-Dimensional Space With Automatic Model Selection and Fuzzy Rule Ranking.

Shang-Ming Zhou, John Q. Gan

IEEE Trans. Fuzzy Syst., 2007

Producing interpretable local models in parametric CMAC by regularization.

John Q. Gan, Eric M. Rosales

Int. J. Knowl. Based Intell. Eng. Syst., 2007

Interactive image enhancement by fuzzy relaxation.

Shang-Ming Zhou, John Q. Gan, Lida Xu, Robert I. John

Int. J. Autom. Comput., 2007

EMG-based hands-free wheelchair control with EOG attention shift detection.

Chun Sing Louis Tsui, Pei Jia, John Q. Gan, Huosheng Hu, Kui Yuan

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2007

Asynchronous BCI Control of a Robot Simulator with Supervised Online Training.

Chun Sing Louis Tsui, John Q. Gan

Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

2006

Multiple Objective Learning for Constructing Interpretable Takagi-Sugeno Fuzzy Model.

Shang-Ming Zhou, John Q. Gan

Proceedings of the Multi-Objective Machine Learning, 2006

A new fuzzy relaxation algorithm for image enhancement.

Shang-Ming Zhou, John Q. Gan

Int. J. Knowl. Based Intell. Eng. Syst., 2006

Constructing accurate and parsimonious fuzzy models with distinguishable fuzzy sets based on an entropy measure.

Shang-Ming Zhou, John Q. Gan

Fuzzy Sets Syst., 2006

A New Fuzzy Membership Function with Applications in Interpretability Improvement of Neurofuzzy Models.

John Q. Gan, Shang-Ming Zhou

Proceedings of the Computational Intelligence, 2006

SC-Tree: An Efficient Structure for High-Dimensional Data Indexing.

Ben Wang, John Q. Gan

Proceedings of the Flexible and Efficient Information Handling, 2006

2005

A complete analytical solution to the inverse kinematics of the Pioneer 2 robotic arm.

John Q. Gan, Eimei Oyama, Eric M. Rosales, Huosheng Hu

Robotica, 2005

An analysis of the inverse kinematics for a 5-DOF manipulator.

De Xu, Carlos Antonio Acosta Calderon, John Q. Gan, Huosheng Hu, Min Tan

Int. J. Autom. Comput., 2005

Inverse kinematics learning for robotic arms with fewer degrees of freedom by modular neural network systems.

Eimei Oyama, Taro Maeda, John Q. Gan, Eric M. Rosales, Karl F. MacDorman, Susumu Tachi, Arvin Agah

Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005

An Incremental Updating Method for Clustering-Based High-Dimensional Data Indexing.

Ben Wang, John Q. Gan

Proceedings of the Computational Intelligence and Security, International Conference, 2005

2004

An Unsupervised Kernel Based Fuzzy C-Means Clustering Algorithm With Kernel Normalisation.

Shang-Ming Zhou, John Q. Gan

Int. J. Comput. Intell. Appl., 2004

Mercer Kernel, Fuzzy C-Means Algorithm, and Prototypes of Clusters.

Shang-Ming Zhou, John Q. Gan

Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

Integration of Projected Clusters and Principal Axis Trees for High-Dimensional Data Indexing and Query.

Ben Wang, John Q. Gan

Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

Interpretability improvement of input space partitioning by merging fuzzy sets based on an entropy measure.

Shang-Ming Zhou, John Q. Gan

Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

2003

Non-uniform partition strategies for indexing high-dimensional data with different distributions.

Ben Wang, Qiang Gan

Proceedings of the Fifth International Symposium on Multimedia Software Engineering, 2003

2002

Adaptive Modelling, Estimation and Fusion from Data: A Neurofuzzy Approach

Chris J. Harris, Xia Hong, Qiang Gan

Advanced information processing, Springer, ISBN: 3-540-42686-8, 2002

2001

A hybrid learning scheme combining EM and MASMOD algorithms for fuzzy local linearization modeling.

Qiang Gan, Chris J. Harris

IEEE Trans. Neural Networks, 2001

State estimation and multi-sensor data fusion using data-based neurofuzzy local linearisation process models.

Chris J. Harris, Qiang Gan

Inf. Fusion, 2001

1999

Linearization and state estimation of unknown discrete-time nonlinear dynamic systems using recurrent neurofuzzy networks.

Qiang Gan, Chris J. Harris

IEEE Trans. Syst. Man Cybern. Part B, 1999

Fuzzy local linearization and local basis function expansion in nonlinear system modeling.

Qiang Gan, Chris J. Harris

IEEE Trans. Syst. Man Cybern. Part B, 1999

Recognition of handwritten numerals by Quantum Neural Network with fuzzy features.

Jie Zhou, Qiang Gan, Adam Krzyzak, Ching Y. Suen

Int. J. Document Anal. Recognit., 1999

Cellular neural networks with opposite‐sign templates for image thinning.

Jun-Sheng Wang, Qiang Gan, Yu Wei, Li Xie

Int. J. Circuit Theory Appl., 1999

1997

A High Performance Hand-printed Numeral Recognition System with Verification Module.

Jie Zhou, Qiang Gan, Ching Y. Suen

Proceedings of the 4th International Conference Document Analysis and Recognition (ICDAR '97), 1997