John Q. Gan

98 papers A 1B 6C 8Misc 1Journal 47Unranked 34
YearRankTypeTitle / Venue / Authors
2025 J jnl
An Interpretable Contrastive Learning Transformer for EEG-Based Person Identification.
IEEE Trans. Inf. Forensics Secur.
Xinghan Shao, C. Chang, John Q. Gan, Haixian Wang
2025 J jnl
Cross-Modal Epileptic Signal Harmonization: Frequency Domain Mapping Quantization for Pre-training a Unified Neurophysiological Transformer.
CoRR
Runkai Zhang, Hua Yu, John Q. Gan, Haixian Wang
2025 — conf
FedCIAL: Federated Color-Invariant Adversarial Learning for Enhancing Fairness and Performance in Skin Lesion Classification.
CVPR Workshops
Rahmat Izwan Heroza, John Q. Gan, Haider Raza
2025 J jnl
Lightweight Source-Free Domain Adaptation Based on Adaptive Euclidean Alignment for Brain-Computer Interfaces.
IEEE J. Biomed. Health Informatics
Huiyang Wang, Hongfang Han, John Q. Gan, Haixian Wang
2025 — conf
Optimising Vision Transformer Performance on Limited Datasets: A Multi-Gradient Approach.
CVPR Workshops
Mohsin Ali, Haider Raza, John Q. Gan, Muhammad Haris
2025 J jnl
Paradigm fusion learning from overt and silent chinese speech based on pseudo-siamese multiscale capsule neural network.
Speech Commun.
Jingyu Gu, John Q. Gan, Haixian Wang
2024 J jnl
An Explainable Machine Learning Approach for Age and Gender Estimation in Living Individuals Using Dental Biometrics.
CoRR
Mohsin Ali, Haider Raza, John Q. Gan, Ariel Pokhojaev, Matanel Katz, Esra Kosan, Agustin Wahjuningrum, Omnina Saleh, Rachel Sarig, Akhilanada Chaurasia
2024 — conf
Enhancing Dental Diagnostics: Advanced Image Segmentation Models for Teeth Identification and Enumeration.
MIUA (2)
Mohsin Ali, Moin Hassan, Esra Konsa, John Q. Gan, Akhilanand Chaurasia, Haider Raza
2024 — conf
Enhancing Skin Lesion Classification: A Self-Attention Fusion Approach with Vision Transformer.
MIUA (2)
Rahmat Izwan Heroza, John Q. Gan, Haider Raza
2024 Misc conf
Integrating Spatial Information into Global Context: Summary Vision Transformer (S-ViT).
DICTA
Mohsin Ali, Haider Raza, John Q. Gan, Muhammad Haris
2024 J jnl
Integration of Feature and Decision Fusion With Deep Learning Architectures for Video Classification.
IEEE Access
Rukiye Savran Kiziltepe, John Q. Gan, Juan José Escobar
2024 J jnl
Reliable and fast automatic artifact rejection of Long-Term EEG recordings based on Isolation Forest.
Medical Biol. Eng. Comput.
Runkai Zhang, Rong Rong, John Q. Gan, Yun Xu, Haixian Wang, Xiaoyun Wang
2023 J jnl
A novel keyframe extraction method for video classification using deep neural networks.
Neural Comput. Appl.
Rukiye Savran Kiziltepe, John Q. Gan, Juan José Escobar
2023 J jnl
Motor Imagery EEG Classification Based on a Weighted Multi-Branch Structure Suitable for Multisubject Data.
IEEE Trans. Biomed. Eng.
Huiyang Wang, Jiuchuan Jiang, John Q. Gan, Haixian Wang
2023 J jnl
Multi-filter semi-supervised transformer model for fault diagnosis.
Eng. Appl. Artif. Intell.
Xuemin Tan, Jun Qi, John Q. Gan, Jianglin Zhang, Chao Guo, Fu Wan, Ke Wang
2023 — conf
SIA-SMOTE: A SMOTE-Based Oversampling Method with Better Interpolation on High-Dimensional Data by Using a Siamese Network.
IWANN (1)
Rahmat Izwan Heroza, John Q. Gan, Haider Raza
2022 B conf
Boosting Facial Emotion Recognition by Using GANs to Augment Small Facial Expression Dataset.
IJCNN
Shih-Kai Hung, John Q. Gan
2021 — conf
Facial Image Augmentation from Sparse Line Features Using Small Training Data.
IWANN (1)
Shih-Kai Hung, John Q. Gan
2021 J jnl
Optimization of Deep Architectures for EEG Signal Classification: An AutoML Approach Using Evolutionary Algorithms.
Sensors
Diego A. Aquino Brítez, Andrés Ortiz, Julio Ortega, Javier León, Marco A. Formoso, John Q. Gan, Juan José Escobar
2021 J jnl
Small facial image dataset augmentation using conditional GANs based on incomplete edge feature input.
PeerJ Comput. Sci.
Shih-Kai Hung, John Q. Gan
2020 J jnl
Adaptation of Common Spatial Patterns based on mental fatigue for motor-imagery BCI.
Biomed. Signal Process. Control.
Upasana Talukdar, Shyamanta M. Hazarika, John Q. Gan
2020 B conf
Augmentation of Small Training Data Using GANs for Enhancing the Performance of Image Classification.
ICPR
Shih-Kai Hung, John Q. Gan
2020 — conf
Essex-NLIP at MediaEval Predicting Media Memorability 2020 Task.
MediaEval
Janadhip Jacutprakart, Rukiye Savran Kiziltepe, John Q. Gan, Giorgos Papanastasiou, Alba Garcia Seco de Herrera
2020 J jnl
Hybrid approaches to feature subset selection for data classification in high-dimensional feature space.
Artif. Intell. Res.
Maysa Ibrahem Almulla Khalaf, John Q. Gan
2020 J jnl
Neural networks and learning systems for human machine interfacing.
Neurocomputing
Zhaojie Ju, Jinguo Liu, Yongan Huang, Naoyuki Kubota, John Q. Gan
2020 — conf
One-Shot Only Real-Time Video Classification: A Case Study in Facial Emotion Recognition.
IDEAL (1)
Arwa M. Basbrain, John Q. Gan
2020 — conf
Simple Effective Methods for Decision-Level Fusion in Two-Stream Convolutional Neural Networks for Video Classification.
IDEAL (1)
Rukiye Savran Kiziltepe, John Q. Gan
2019 — conf
A Rough Set Classifier Based on Discretization and Attribute Selection.
ICNC-FSKD
Yingjuan Sun, Dongbing Pu, Dongbing Gu, John Q. Gan, Kun Yang
2019 J jnl
A new multi-objective wrapper method for feature selection - Accuracy and stability analysis for BCI.
Neurocomputing
Jesús González, Julio Ortega, Miguel Damas, Pedro Martín-Smith, John Q. Gan
2019 J jnl
A three-stage learning algorithm for deep multilayer perceptron with effective weight initialisation based on sparse auto-encoder.
Artif. Intell. Res.
Maysa Ibrahem Almulla Khalaf, John Q. Gan
2019 — conf
Combining Very Deep Convolutional Neural Networks and Recurrent Neural Networks for Video Classification.
IWANN (2)
Rukiye Savran Kiziltepe, John Q. Gan, Juan José Escobar
2019 — conf
Energy-Time Analysis of Convolutional Neural Networks Distributed on Heterogeneous Clusters for EEG Classification.
IWANN (2)
Juan José Escobar, Julio Ortega, Miguel Damas, Rukiye Savran Kiziltepe, John Q. Gan
2019 J jnl
Motor imagery and mental fatigue: inter-relationship and EEG based estimation.
J. Comput. Neurosci.
Upasana Talukdar, Shyamanta M. Hazarika, John Q. Gan
2018 J jnl
A Kernel Partial least square based feature selection method.
Pattern Recognit.
Upasana Talukdar, Shyamanta M. Hazarika, John Q. Gan
2018 — conf
A Neural Network Approach to Score Fusion for Emotion Recognition.
CEEC
Arwa Mohammed Basbrain, John Q. Gan, Akihiro Sugimoto, Adrian F. Clark
2018 J jnl
Collective sparse symmetric non-negative matrix factorization for identifying overlapping communities in resting-state brain functional networks.
NeuroImage
Xuan Li, John Q. Gan, Haixian Wang
2018 C conf
Deep Classifier Structures with Autoencoder for Higher-level Feature Extraction.
IJCCI
Maysa I. A. Almulla Khalaf, John Q. Gan
2018 — conf
Prediction of the 2017 French Election Based on Twitter Data Analysis Using Term Weighting.
CEEC
Lei Wang, John Q. Gan
2017 — conf
A Parallel Island Approach to Multiobjective Feature Selection for Brain-Computer Interfaces.
IWANN (1)
Julio Ortega, Dragi Kimovski, John Q. Gan, Andrés Ortiz, Miguel Damas
2017 J jnl
A supervised filter method for multi-objective feature selection in EEG classification based on multi-resolution analysis for BCI.
Neurocomputing
Pedro Martín-Smith, Julio Ortega, Javier Asensio-Cubero, John Q. Gan, Andrés Ortiz
2017 — conf
Accuracy Enhancement of the Viola-Jones Algorithm for Thermal Face Detection.
ICIC (3)
Arwa M. Basbrain, John Q. Gan, Adrian F. Clark
2017 — conf
Deep Belief Networks and Multiobjective Feature Selection for BCI with Multiresolution Analysis.
IWANN (1)
Julio Ortega, Andrés Ortiz, Pedro Martín-Smith, John Q. Gan, Jesús González Peñalver
2017 — conf
Identifying Intrinsic Phase Lag in EEG Signals from the Perspective of Wilcoxon Signed-Rank Test.
ICONIP (3)
Yunqiao Wu, John Q. Gan, Haixian Wang
2017 — conf
Prediction of the 2017 French election based on Twitter data analysis.
CEEC
Lei Wang, John Q. Gan
2017 J jnl
Re-ranking Google search returned web documents using document classification scores.
Artif. Intell. Res.
Suthira Plansangket, John Q. Gan
2017 — conf
Shallow convolutional neural network for eyeglasses detection in facial images.
CEEC
Arwa M. Basbrain, Inas Al-Taie, Nassr Azeez, John Q. Gan, Adrian F. Clark
2016 — conf
Class-specific pre-trained sparse autoencoders for learning effective features for document classification.
CEEC
Maysa I. Abdulhussain, John Q. Gan
2016 J jnl
Multiresolution analysis over graphs for a motor imagery based online BCI game.
Comput. Biol. Medicine
Javier Asensio-Cubero, John Q. Gan, Ramaswamy Palaniappan
2015 — conf
A Label-Aided Filter Method for Multi-objective Feature Selection in EEG Classification for BCI.
IWANN (1)
Pedro Martín-Smith, Julio Ortega Lopera, Javier Asensio-Cubero, John Q. Gan, Andrés Ortiz
2015 J jnl
A co-training algorithm based on modified Fisher's linear discriminant analysis.
Intell. Data Anal.
Xue-Min Tan, Min-You Chen, John Q. Gan
2015 J jnl
A query suggestion method combining TF-IDF and Jaccard Coefficient for interactive web search.
Artif. Intell. Res.
Suthira Plansangket, John Q. Gan
2015 — conf
Evolutionary Multiobjective Feature Selection in Multiresolution Analysis for BCI.
IWBBIO (1)
Julio Ortega, Javier Asensio-Cubero, John Q. Gan, Andrés Ortiz
2015 — conf
cBDI-based Collaborative Control for a Robotic Wheelchair.
IHCI
Adity Saikia, Md. Arif Khan, Sumant Pusph, Syed Ibtisam Tauhidi, Rupam Bhattacharyya, Shyamanta M. Hazarika, John Q. Gan
2014 J jnl
A filter-dominating hybrid sequential forward floating search method for feature subset selection in high-dimensional space.
Int. J. Mach. Learn. Cybern.
John Q. Gan, Bashar Awwad Shiekh Hasan, Chun Sing Louis Tsui
2014 J jnl
A novel fuzzy logic approach to online exposure time calculation of line scan cameras in industrial inspection.
Int. J. Model. Identif. Control.
Hossein Farid Ghassem Nia, Huosheng Hu, John Q. Gan
2014 C conf
CSP-Based EEG Analysis on Dissociated Brain Organization for Single-Digit Addition and Multiplication.
ISNN
Lihan Wang, John Q. Gan, Haixian Wang
2014 — conf
Multiresolution Analysis of an Information based EEG Graph Representation for Motor Imagery Brain Computer Interfaces.
PhyCS
Javier Asensio-Cubero, John Q. Gan, Ramaswamy Palaniappan
2014 — conf
Performance Evaluation of State-of-the-Art Ranked Retrieval Methods and Their Combinations for Query Suggestion.
KDIR
Suthira Plansangket, John Q. Gan
2014 — conf
Wavelet Lifting over Information-Based EEG Graphs for Motor Imagery Data Classification.
PhyCS (Selected Papers)
Javier Asensio-Cubero, John Q. Gan, Ramaswamy Palaniappan
2013 — conf
EEG-Based Cortical Localization of Neural Efficiency Related to Mathematical Giftedness.
ICONIP (1)
Li Zhang, Haixian Wang, John Q. Gan
2013 J jnl
Extracting optimal tempo-spatial features using local discriminant bases and common spatial patterns for brain computer interfacing.
Biomed. Signal Process. Control.
Javier Asensio-Cubero, John Q. Gan, Ramaswamy Palaniappan
2013 C conf
Performance analysis of multi-frequency SSVEP-BCI using clear and frosted colour LED stimuli.
BIBE
Surej Mouli, Ramaswamy Palaniappan, Ian P. Sillitoe, John Q. Gan
2012 J jnl
Anomalous pattern based clustering of mental tasks with subject independent learning - some preliminary results.
Artif. Intell. Res.
Renato Cordeiro de Amorim, Boris G. Mirkin, John Q. Gan
2012 B conf
Continuous presentation for multi-objective channel selection in Brain-Computer Interfaces.
IEEE Congress on Evolutionary Computation
Noura Al Moubayed, Bashar Awwad Shiekh Hasan, John Q. Gan, Andrei Petrovski, John A. W. McCall
2012 J jnl
Hangman BCI: An unsupervised adaptive self-paced Brain-Computer Interface for playing games.
Comput. Biol. Medicine
Bashar Awwad Shiekh Hasan, John Q. Gan
2011 C conf
A Hybrid Approach to Feature Subset Selection for Brain-Computer Interface Design.
IDEAL
John Q. Gan, Bashar Awwad Shiekh Hasan, Chun Sing Louis Tsui
2011 J jnl
Bayesian inference for an adaptive Ordered Probit model: An application to Brain Computer Interfacing.
Neural Networks
Ji Won Yoon, Stephen J. Roberts, Matthew Dyson, John Q. Gan
2010 B conf
Multi-objective evolutionary methods for channel selection in Brain-Computer Interfaces: Some preliminary experimental results.
IEEE Congress on Evolutionary Computation
Bashar Awwad Shiekh Hasan, John Q. Gan, Qingfu Zhang
2010 J jnl
Unsupervised movement onset detection from EEG recorded during self-paced real hand movement.
Medical Biol. Eng. Comput.
Bashar Awwad Shiekh Hasan, John Q. Gan
2009 J jnl
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.
Chun Sing Louis Tsui, John Q. Gan, Stephen J. Roberts
2009 J jnl
Adaptive classification for Brain Computer Interface systems using Sequential Monte Carlo sampling.
Neural Networks
Ji Won Yoon, Stephen J. Roberts, Matthew Dyson, John Q. Gan
2009 J jnl
Extracting Takagi-Sugeno Fuzzy Rules with Interpretable Submodels via Regularization of Linguistic Modifiers.
IEEE Trans. Knowl. Data Eng.
Shang-Ming Zhou, John Q. Gan
2009 J jnl
Fuzziness index driven fuzzy relaxation algorithm and applications to image processing.
Ann. Oper. Res.
Shang-Ming Zhou, John Q. Gan, Lida Xu, Robert Ivor John
2009 — conf
Sequential EM for Unsupervised Adaptive Gaussian Mixture Model Based Classifier.
MLDM
Bashar Awwad Shiekh Hasan, John Q. Gan
2008 J jnl
A Novel Design of 4-Class BCI Using Two Binary Classifiers and Parallel Mental Tasks.
Comput. Intell. Neurosci.
Tao Geng, John Q. Gan, Matthew Dyson, Chun Sing Louis Tsui, Francisco Sepulveda
2008 C conf
Adaptive Classification by Hybrid EKF with Truncated Filtering: Brain Computer Interfacing.
IDEAL
Ji Won Yoon, Stephen J. Roberts, Matthew Dyson, John Q. Gan
2008 J jnl
Classifying mental tasks based on features of higher-order statistics from EEG signals in brain-computer interface.
Inf. Sci.
Shang-Ming Zhou, John Q. Gan, Francisco Sepulveda
2008 J jnl
Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling.
Fuzzy Sets Syst.
Shang-Ming Zhou, John Q. Gan
2008 — conf
Sequential Bayesian estimation for adaptive classification.
MFI
Ji Won Yoon, Stephen J. Roberts, Matthew Dyson, John Q. Gan
2007 C conf
Asynchronous BCI Control of a Robot Simulator with Supervised Online Training.
IDEAL
Chun Sing Louis Tsui, John Q. Gan
2007 J jnl
Constructing L2-SVM-Based Fuzzy Classifiers in High-Dimensional Space With Automatic Model Selection and Fuzzy Rule Ranking.
IEEE Trans. Fuzzy Syst.
Shang-Ming Zhou, John Q. Gan
2007 — conf
EMG-based hands-free wheelchair control with EOG attention shift detection.
ROBIO
Chun Sing Louis Tsui, Pei Jia, John Q. Gan, Huosheng Hu, Kui Yuan
2007 J jnl
Interactive image enhancement by fuzzy relaxation.
Int. J. Autom. Comput.
Shang-Ming Zhou, John Q. Gan, Lida Xu, Robert I. John
2007 J jnl
Producing interpretable local models in parametric CMAC by regularization.
Int. J. Knowl. Based Intell. Eng. Syst.
John Q. Gan, Eric M. Rosales
2006 — conf
A New Fuzzy Membership Function with Applications in Interpretability Improvement of Neurofuzzy Models.
ICIC (2)
John Q. Gan, Shang-Ming Zhou
2006 J jnl
A new fuzzy relaxation algorithm for image enhancement.
Int. J. Knowl. Based Intell. Eng. Syst.
Shang-Ming Zhou, John Q. Gan
2006 J jnl
Constructing accurate and parsimonious fuzzy models with distinguishable fuzzy sets based on an entropy measure.
Fuzzy Sets Syst.
Shang-Ming Zhou, John Q. Gan
2006 — ch.
Multiple Objective Learning for Constructing Interpretable Takagi-Sugeno Fuzzy Model.
Multi-Objective Machine Learning
Shang-Ming Zhou, John Q. Gan
2006 — conf
SC-Tree: An Efficient Structure for High-Dimensional Data Indexing.
BNCOD
Ben Wang, John Q. Gan
2005 J jnl
A complete analytical solution to the inverse kinematics of the Pioneer 2 robotic arm.
Robotica
John Q. Gan, Eimei Oyama, Eric M. Rosales, Huosheng Hu
2005 — conf
An Incremental Updating Method for Clustering-Based High-Dimensional Data Indexing.
CIS (1)
Ben Wang, John Q. Gan
2005 J jnl
An analysis of the inverse kinematics for a 5-DOF manipulator.
Int. J. Autom. Comput.
De Xu, Carlos Antonio Acosta Calderon, John Q. Gan, Huosheng Hu, Min Tan
2005 A conf
Inverse kinematics learning for robotic arms with fewer degrees of freedom by modular neural network systems.
IROS
Eimei Oyama, Taro Maeda, John Q. Gan, Eric M. Rosales, Karl F. MacDorman, Susumu Tachi, Arvin Agah
2004 J jnl
An Unsupervised Kernel Based Fuzzy C-Means Clustering Algorithm With Kernel Normalisation.
Int. J. Comput. Intell. Appl.
Shang-Ming Zhou, John Q. Gan
2004 B conf
Improving the interpretability of Takagi-Sugeno fuzzy model by using linguistic modifiers and a multiple objective learning scheme.
IJCNN
Shang-Ming Zhou, John Q. Gan
2004 C conf
Integration of Projected Clusters and Principal Axis Trees for High-Dimensional Data Indexing and Query.
IDEAL
Ben Wang, John Q. Gan
2004 B conf
Interpretability improvement of input space partitioning by merging fuzzy sets based on an entropy measure.
FUZZ-IEEE
Shang-Ming Zhou, John Q. Gan
2004 C conf
Mercer Kernel, Fuzzy C-Means Algorithm, and Prototypes of Clusters.
IDEAL
Shang-Ming Zhou, John Q. Gan