John Q. Gan

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 40

Top Topics

Convolutional Neural Network

Feature Selection

Top Venues

Artif. Intell. Res.

Publications

Rahmat Izwan Heroza, John Q. Gan, Haider Raza
Enhancing Skin Lesion Classification: A Self-Attention Fusion Approach with Vision Transformer. MIUA (2) (2024)
Rukiye Savran Kiziltepe, John Q. Gan, Juan José Escobar
Integration of Feature and Decision Fusion With Deep Learning Architectures for Video Classification. IEEE Access 12 (2024)
Mohsin Ali, Moin Hassan, Esra Konsa, John Q. Gan, Akhilanand Chaurasia, Haider Raza
Enhancing Dental Diagnostics: Advanced Image Segmentation Models for Teeth Identification and Enumeration. MIUA (2) (2024)
Runkai Zhang, Rong Rong, John Q. Gan, Yun Xu, Haixian Wang, Xiaoyun Wang
Reliable and fast automatic artifact rejection of Long-Term EEG recordings based on Isolation Forest. Medical Biol. Eng. Comput. 62 (2) (2024)
Xuemin Tan, Jun Qi, John Q. Gan, Jianglin Zhang, Chao Guo, Fu Wan, Ke Wang
Multi-filter semi-supervised transformer model for fault diagnosis. Eng. Appl. Artif. Intell. 124 (2023)
Rahmat Izwan Heroza, John Q. Gan, Haider Raza
SIA-SMOTE: A SMOTE-Based Oversampling Method with Better Interpolation on High-Dimensional Data by Using a Siamese Network. IWANN (1) (2023)
Huiyang Wang, Jiuchuan Jiang, John Q. Gan, Haixian Wang
Motor Imagery EEG Classification Based on a Weighted Multi-Branch Structure Suitable for Multisubject Data. IEEE Trans. Biomed. Eng. 70 (11) (2023)
Rukiye Savran Kiziltepe, John Q. Gan, Juan José Escobar
A novel keyframe extraction method for video classification using deep neural networks. Neural Comput. Appl. 35 (34) (2023)
Shih-Kai Hung, John Q. Gan
Boosting Facial Emotion Recognition by Using GANs to Augment Small Facial Expression Dataset. IJCNN (2022)
Shih-Kai Hung, John Q. Gan
Facial Image Augmentation from Sparse Line Features Using Small Training Data. IWANN (1) (2021)
Shih-Kai Hung, John Q. Gan
Small facial image dataset augmentation using conditional GANs based on incomplete edge feature input. PeerJ Comput. Sci. 7 (2021)
D. A. Aquino-Britez, Andrés Ortiz, Julio Ortega, Javier León, Marco A. Formoso, John Q. Gan, Juan José Escobar
Optimization of Deep Architectures for EEG Signal Classification: An AutoML Approach Using Evolutionary Algorithms. Sensors 21 (6) (2021)
Shih-Kai Hung, John Q. Gan
Augmentation of Small Training Data Using GANs for Enhancing the Performance of Image Classification. ICPR (2020)
Rukiye Savran Kiziltepe, John Q. Gan
Simple Effective Methods for Decision-Level Fusion in Two-Stream Convolutional Neural Networks for Video Classification. IDEAL (1) (2020)
Arwa M. Basbrain, John Q. Gan
One-Shot Only Real-Time Video Classification: A Case Study in Facial Emotion Recognition. IDEAL (1) (2020)
Zhaojie Ju, Jinguo Liu, Yongan Huang, Naoyuki Kubota, John Q. Gan
Neural networks and learning systems for human machine interfacing. Neurocomputing 390 (2020)
Maysa Ibrahem Almulla Khalaf, John Q. Gan
Hybrid approaches to feature subset selection for data classification in high-dimensional feature space. Artif. Intell. Res. 9 (1) (2020)
Janadhip Jacutprakart, Rukiye Savran Kiziltepe, John Q. Gan, Giorgos Papanastasiou, Alba Garcia Seco de Herrera
Essex-NLIP at MediaEval Predicting Media Memorability 2020 Task. MediaEval (2020)
Upasana Talukdar, Shyamanta M. Hazarika, John Q. Gan
Adaptation of Common Spatial Patterns based on mental fatigue for motor-imagery BCI. Biomed. Signal Process. Control. 58 (2020)
Maysa Ibrahem Almulla Khalaf, John Q. Gan
A three-stage learning algorithm for deep multilayer perceptron with effective weight initialisation based on sparse auto-encoder. Artif. Intell. Res. 8 (1) (2019)
Rukiye Savran Kiziltepe, John Q. Gan, Juan José Escobar
Combining Very Deep Convolutional Neural Networks and Recurrent Neural Networks for Video Classification. IWANN (2) (2019)
Jesús González, Julio Ortega, Miguel Damas, Pedro Martín-Smith, John Q. Gan
A new multi-objective wrapper method for feature selection - Accuracy and stability analysis for BCI. Neurocomputing 333 (2019)
Yingjuan Sun, Dongbing Pu, Dongbing Gu, John Q. Gan, Kun Yang
A Rough Set Classifier Based on Discretization and Attribute Selection. ICNC-FSKD (2019)
Juan José Escobar, Julio Ortega, Miguel Damas, Rukiye Savran Kiziltepe, John Q. Gan
Energy-Time Analysis of Convolutional Neural Networks Distributed on Heterogeneous Clusters for EEG Classification. IWANN (2) (2019)
Upasana Talukdar, Shyamanta M. Hazarika, John Q. Gan
Motor imagery and mental fatigue: inter-relationship and EEG based estimation. J. Comput. Neurosci. 46 (1) (2019)
Upasana Talukdar, Shyamanta M. Hazarika, John Q. Gan
A Kernel Partial least square based feature selection method. Pattern Recognit. 83 (2018)
Lei Wang, John Q. Gan
Prediction of the 2017 French Election Based on Twitter Data Analysis Using Term Weighting. CEEC (2018)
Xuan Li, John Q. Gan, Haixian Wang
Collective sparse symmetric non-negative matrix factorization for identifying overlapping communities in resting-state brain functional networks. NeuroImage 166 (2018)
Arwa Mohammed Basbrain, John Q. Gan, Akihiro Sugimoto, Adrian Clark
A Neural Network Approach to Score Fusion for Emotion Recognition. CEEC (2018)
Maysa I. A. Almulla Khalaf, John Q. Gan
Deep Classifier Structures with Autoencoder for Higher-level Feature Extraction. IJCCI (2018)
Julio Ortega, Andrés Ortiz, Pedro Martín-Smith, John Q. Gan, Jesús González Peñalver
Deep Belief Networks and Multiobjective Feature Selection for BCI with Multiresolution Analysis. IWANN (1) (2017)
Arwa M. Basbrain, Inas Al-Taie, Nassr Azeez, John Q. Gan, Adrian Clark
Shallow convolutional neural network for eyeglasses detection in facial images. CEEC (2017)
Lei Wang, John Q. Gan
Prediction of the 2017 French election based on Twitter data analysis. CEEC (2017)
Julio Ortega, Dragi Kimovski, John Q. Gan, Andrés Ortiz, Miguel Damas
A Parallel Island Approach to Multiobjective Feature Selection for Brain-Computer Interfaces. IWANN (1) (2017)
Pedro Martín-Smith, Julio Ortega, Javier Asensio-Cubero, John Q. Gan, Andrés Ortiz
A supervised filter method for multi-objective feature selection in EEG classification based on multi-resolution analysis for BCI. Neurocomputing 250 (2017)
Suthira Plansangket, John Q. Gan
Re-ranking Google search returned web documents using document classification scores. Artif. Intell. Res. 6 (1) (2017)
Yunqiao Wu, John Q. Gan, Haixian Wang
Identifying Intrinsic Phase Lag in EEG Signals from the Perspective of Wilcoxon Signed-Rank Test. ICONIP (3) (2017)
Arwa M. Basbrain, John Q. Gan, Adrian Clark
Accuracy Enhancement of the Viola-Jones Algorithm for Thermal Face Detection. ICIC (3) (2017)
Javier Asensio-Cubero, John Q. Gan, Ramaswamy Palaniappan
Multiresolution analysis over graphs for a motor imagery based online BCI game. Comput. Biol. Medicine 68 (2016)
Maysa I. Abdulhussain, John Q. Gan
Class-specific pre-trained sparse autoencoders for learning effective features for document classification. CEEC (2016)
Xue-Min Tan, Min-You Chen, John Q. Gan
A co-training algorithm based on modified Fisher's linear discriminant analysis. Intell. Data Anal. 19 (2) (2015)
Suthira Plansangket, John Q. Gan
A query suggestion method combining TF-IDF and Jaccard Coefficient for interactive web search. Artif. Intell. Res. 4 (2) (2015)
Julio Ortega, Javier Asensio-Cubero, John Q. Gan, Andrés Ortiz
Evolutionary Multiobjective Feature Selection in Multiresolution Analysis for BCI. IWBBIO (1) (2015)
Adity Saikia, Md. Arif Khan, Sumant Pusph, Syed Ibtisam Tauhidi, Rupam Bhattacharyya, Shyamanta M. Hazarika, John Q. Gan
cBDI-based Collaborative Control for a Robotic Wheelchair. IHCI (2015)
Pedro Martín-Smith, Julio Ortega Lopera, Javier Asensio-Cubero, John Q. Gan, Andrés Ortiz
A Label-Aided Filter Method for Multi-objective Feature Selection in EEG Classification for BCI. IWANN (1) (2015)
John Q. Gan, Bashar Awwad Shiekh Hasan, Chun Sing Louis Tsui
A filter-dominating hybrid sequential forward floating search method for feature subset selection in high-dimensional space. Int. J. Mach. Learn. Cybern. 5 (3) (2014)
Javier Asensio-Cubero, John Q. Gan, Ramaswamy Palaniappan
Multiresolution Analysis of an Information based EEG Graph Representation for Motor Imagery Brain Computer Interfaces. PhyCS (2014)
Suthira Plansangket, John Q. Gan
Performance Evaluation of State-of-the-Art Ranked Retrieval Methods and Their Combinations for Query Suggestion. KDIR (2014)
Lihan Wang, John Q. Gan, Haixian Wang
CSP-Based EEG Analysis on Dissociated Brain Organization for Single-Digit Addition and Multiplication. ISNN (2014)
Javier Asensio-Cubero, John Q. Gan, Ramaswamy Palaniappan
Wavelet Lifting over Information-Based EEG Graphs for Motor Imagery Data Classification. PhyCS (Selected Papers) (2014)
Hossein Farid Ghassem Nia, Huosheng Hu, John Q. Gan
A novel fuzzy logic approach to online exposure time calculation of line scan cameras in industrial inspection. Int. J. Model. Identif. Control. 21 (1) (2014)
Javier Asensio-Cubero, John Q. Gan, Ramaswamy Palaniappan
Extracting optimal tempo-spatial features using local discriminant bases and common spatial patterns for brain computer interfacing. Biomed. Signal Process. Control. 8 (6) (2013)
Surej Mouli, Ramaswamy Palaniappan, Ian P. Sillitoe, John Q. Gan
Performance analysis of multi-frequency SSVEP-BCI using clear and frosted colour LED stimuli. BIBE (2013)
Li Zhang, Haixian Wang, John Q. Gan
EEG-Based Cortical Localization of Neural Efficiency Related to Mathematical Giftedness. ICONIP (1) (2013)
Renato Cordeiro de Amorim, Boris G. Mirkin, John Q. Gan
Anomalous pattern based clustering of mental tasks with subject independent learning - some preliminary results. Artif. Intell. Res. 1 (1) (2012)
Noura Al Moubayed, Bashar Awwad Shiekh Hasan, John Q. Gan, Andrei Petrovski, John A. W. McCall
Continuous presentation for multi-objective channel selection in Brain-Computer Interfaces. IEEE Congress on Evolutionary Computation (2012)
Bashar Awwad Shiekh Hasan, John Q. Gan
Hangman BCI: An unsupervised adaptive self-paced Brain-Computer Interface for playing games. Comput. Biol. Medicine 42 (5) (2012)
John Q. Gan, Bashar Awwad Shiekh Hasan, Chun Sing Louis Tsui
A Hybrid Approach to Feature Subset Selection for Brain-Computer Interface Design. IDEAL (2011)
Ji Won Yoon, Stephen J. Roberts, Matthew Dyson, John Q. Gan
Bayesian inference for an adaptive Ordered Probit model: An application to Brain Computer Interfacing. Neural Networks 24 (7) (2011)
Bashar Awwad Shiekh Hasan, John Q. Gan
Unsupervised movement onset detection from EEG recorded during self-paced real hand movement. Medical Biol. Eng. Comput. 48 (3) (2010)
Bashar Awwad Shiekh Hasan, John Q. Gan, Qingfu Zhang
Multi-objective evolutionary methods for channel selection in Brain-Computer Interfaces: Some preliminary experimental results. IEEE Congress on Evolutionary Computation (2010)
Ji Won Yoon, Stephen J. Roberts, Matthew Dyson, John Q. Gan
Adaptive classification for Brain Computer Interface systems using Sequential Monte Carlo sampling. Neural Networks 22 (9) (2009)
Shang-Ming Zhou, John Q. Gan, Lida Xu, Robert Ivor John
Fuzziness index driven fuzzy relaxation algorithm and applications to image processing. Ann. Oper. Res. 168 (1) (2009)
Chun Sing Louis Tsui, John Q. Gan, Stephen J. Roberts
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. Medical Biol. Eng. Comput. 47 (3) (2009)
Shang-Ming Zhou, John Q. Gan
Extracting Takagi-Sugeno Fuzzy Rules with Interpretable Submodels via Regularization of Linguistic Modifiers. IEEE Trans. Knowl. Data Eng. 21 (8) (2009)
Bashar Awwad Shiekh Hasan, John Q. Gan
Sequential EM for Unsupervised Adaptive Gaussian Mixture Model Based Classifier. MLDM (2009)
Tao Geng, John Q. Gan, Matthew Dyson, Chun Sing Louis Tsui, Francisco Sepulveda
A Novel Design of 4-Class BCI Using Two Binary Classifiers and Parallel Mental Tasks. Comput. Intell. Neurosci. 2008 (2008)
Ji Won Yoon, Stephen J. Roberts, Matthew Dyson, John Q. Gan
Adaptive Classification by Hybrid EKF with Truncated Filtering: Brain Computer Interfacing. IDEAL (2008)
Shang-Ming Zhou, John Q. Gan
Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling. Fuzzy Sets Syst. 159 (23) (2008)
Shang-Ming Zhou, John Q. Gan, Francisco Sepulveda
Classifying mental tasks based on features of higher-order statistics from EEG signals in brain-computer interface. Inf. Sci. 178 (6) (2008)
Ji Won Yoon, Stephen J. Roberts, Matthew Dyson, John Q. Gan
Sequential Bayesian estimation for adaptive classification. MFI (2008)
Shang-Ming Zhou, John Q. Gan, Lida Xu, Robert I. John
Interactive image enhancement by fuzzy relaxation. Int. J. Autom. Comput. 4 (3) (2007)
John Q. Gan, Eric M. Rosales
Producing interpretable local models in parametric CMAC by regularization. Int. J. Knowl. Based Intell. Eng. Syst. 11 (6) (2007)
Chun Sing Louis Tsui, John Q. Gan
Asynchronous BCI Control of a Robot Simulator with Supervised Online Training. IDEAL (2007)
Chun Sing Louis Tsui, Pei Jia, John Q. Gan, Huosheng Hu, Kui Yuan
EMG-based hands-free wheelchair control with EOG attention shift detection. ROBIO (2007)
Shang-Ming Zhou, John Q. Gan
Constructing L2-SVM-Based Fuzzy Classifiers in High-Dimensional Space With Automatic Model Selection and Fuzzy Rule Ranking. IEEE Trans. Fuzzy Syst. 15 (3) (2007)
Shang-Ming Zhou, John Q. Gan
Constructing accurate and parsimonious fuzzy models with distinguishable fuzzy sets based on an entropy measure. Fuzzy Sets Syst. 157 (8) (2006)
Ben Wang, John Q. Gan
SC-Tree: An Efficient Structure for High-Dimensional Data Indexing. BNCOD (2006)
John Q. Gan, Shang-Ming Zhou
A New Fuzzy Membership Function with Applications in Interpretability Improvement of Neurofuzzy Models. ICIC (2) (2006)
Shang-Ming Zhou, John Q. Gan
A new fuzzy relaxation algorithm for image enhancement. Int. J. Knowl. Based Intell. Eng. Syst. 10 (3) (2006)
Eimei Oyama, Taro Maeda, John Q. Gan, Eric M. Rosales, Karl F. MacDorman, Susumu Tachi, Arvin Agah
Inverse kinematics learning for robotic arms with fewer degrees of freedom by modular neural network systems. IROS (2005)
De Xu, Carlos Antonio Acosta Calderon, John Q. Gan, Huosheng Hu, Min Tan
An analysis of the inverse kinematics for a 5-DOF manipulator. Int. J. Autom. Comput. 2 (2) (2005)
Ben Wang, John Q. Gan
An Incremental Updating Method for Clustering-Based High-Dimensional Data Indexing. CIS (1) (2005)
John Q. Gan, Eimei Oyama, Eric M. Rosales, Huosheng Hu
A complete analytical solution to the inverse kinematics of the Pioneer 2 robotic arm. Robotica 23 (1) (2005)
Ben Wang, John Q. Gan
Integration of Projected Clusters and Principal Axis Trees for High-Dimensional Data Indexing and Query. IDEAL (2004)
Shang-Ming Zhou, John Q. Gan
Mercer Kernel, Fuzzy C-Means Algorithm, and Prototypes of Clusters. IDEAL (2004)
Shang-Ming Zhou, John Q. Gan
An Unsupervised Kernel Based Fuzzy C-Means Clustering Algorithm With Kernel Normalisation. Int. J. Comput. Intell. Appl. 4 (4) (2004)
Shang-Ming Zhou, John Q. Gan
Interpretability improvement of input space partitioning by merging fuzzy sets based on an entropy measure. FUZZ-IEEE (2004)