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Items where Author is "Gan, John Q"

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Number of items: 68.

Article

Han, Hongfang and Jiang, Jiuchuan and Gu, Lingyun and Gan, John Q and Wang, Haixian (2024) Brain connectivity patterns derived from aging-related alterations in dynamic brain functional networks and their potential as features for brain age classification. Journal of Neural Engineering, 21 (2). 026015-026015. DOI https://doi.org/10.1088/1741-2552/ad33b1

Kiziltepe, Rukiye Savran and Gan, John Q and Escobar, Juan José (2024) Integration of Feature and Decision Fusion With Deep Learning Architectures for Video Classification. IEEE Access, 12. pp. 19432-19446. DOI https://doi.org/10.1109/access.2024.3360929

Savran Kızıltepe, Rukiye and Gan, John Q and Escobar, Juan José (2023) A novel keyframe extraction method for video classification using deep neural networks. Neural Computing and Applications, 35 (34). pp. 24513-24524. DOI https://doi.org/10.1007/s00521-021-06322-x

Zhang, Runkai and Rong, Rong and Gan, John Q and Xu, Yun and Wang, Haixian and Wang, Xiaoyun (2023) Reliable and fast automatic artifact rejection of Long-Term EEG recordings based on Isolation Forest. Medical and Biological Engineering and Computing, 62 (2). pp. 521-535. DOI https://doi.org/10.1007/s11517-023-02961-5

Tan, Xuemin and Qi, Jun and Gan, John Q and Zhang, Jianglin and Guo, Chao and Wan, Fu and Wang, Ke (2023) Multi-filter semi-supervised transformer model for fault diagnosis. Engineering Applications of Artificial Intelligence, 124. p. 106498. DOI https://doi.org/10.1016/j.engappai.2023.106498

Wang, Huiyang and Jiang, Jiuchuan and Gan, John Q and Wang, Haixian (2023) Motor Imagery EEG Classification Based on a Weighted Multi-branch Structure Suitable for Multisubject Data. IEEE Transactions on Biomedical Engineering, 70 (11). pp. 3040-3051. DOI https://doi.org/10.1109/tbme.2023.3274231

Gu, Lingyun and Jiang, Jiuchuan and Han, Hongfang and Gan, John Q and Wang, Haixian (2023) Recognition of unilateral lower limb movement based on EEG signals with ERP-PCA analysis. Neuroscience Letters, 800. p. 137133. DOI https://doi.org/10.1016/j.neulet.2023.137133

Han, Hongfang and Li, Xuan and Gan, John Q and Yu, Hua and Wang, Haixian (2022) Biomarkers Derived from Alterations in Overlapping Community Structure of Resting-state Brain Functional Networks for Detecting Alzheimer's Disease. Neuroscience, 484. pp. 38-52. DOI https://doi.org/10.1016/j.neuroscience.2021.12.031

Hung, Shih-Kai and Gan, John Q (2021) Small facial image dataset augmentation using conditional GANs based on incomplete edge feature input. PeerJ Computer Science, 7. e760-e760. DOI https://doi.org/10.7717/peerj-cs.760

Aquino-Brítez, Diego and Ortiz, Andrés and Ortega, Julio and León, Javier and Formoso, Marco and Gan, John Q and Escobar, Juan José (2021) Optimization of Deep Architectures for EEG Signal Classification: An AutoML Approach Using Evolutionary Algorithms. Sensors, 21 (6). p. 2096. DOI https://doi.org/10.3390/s21062096

Zhang, Li and Gan, John Q and Zhu, Yanmei and Wang, Jing and Wang, Haixian (2020) EEG source-space synchrostate transitions and Markov modeling in the math-gifted brain during a long-chain reasoning task. Human Brain Mapping, 41 (13). pp. 3620-3636. DOI https://doi.org/10.1002/hbm.25035

León, Javier and Escobar, Juan José and Ortiz, Andrés and Ortega, Julio and González, Jesús and Martín-Smith, Pedro and Gan, John Q and Damas, Miguel (2020) Deep learning for EEG-based Motor Imagery classification: Accuracy-cost trade-off. PLoS One, 15 (6). e0234178-e0234178. DOI https://doi.org/10.1371/journal.pone.0234178

Ju, Zhaojie and Liu, Jinguo and Huang, Yong An and Kubota, Naoyuki and Gan, John Q (2020) Neural Networks and Learning Systems for Human Machine Interfacing. Neurocomputing, 390. pp. 196-197. DOI https://doi.org/10.1016/j.neucom.2019.10.058

Talukdar, Upasana and Hazarika, Shyamanta M and Gan, John Q (2020) Adaptive feature extraction in EEG-based motor imagery BCI: tracking mental fatigue. Journal of Neural Engineering, 17 (1). 016020-016020. DOI https://doi.org/10.1088/1741-2552/ab53f1

Almulla Khalaf, Maysa Ibrahem and Gan, John Q (2019) A three-stage learning algorithm for deep multilayer perceptron with effective weight initialisation based on sparse auto-encoder. Artificial Intelligence Research, 8 (1). p. 41. DOI https://doi.org/10.5430/air.v8n1p41

González, Jesús and Ortega, Julio and Damas, Miguel and Martín-Smith, Pedro and Gan, John Q (2019) A new multi-objective wrapper method for feature selection – Accuracy and stability analysis for BCI. Neurocomputing, 333. pp. 407-418. DOI https://doi.org/10.1016/j.neucom.2019.01.017

Talukdar, Upasana and Hazarika, Shyamanta M and Gan, John Q (2018) A Kernel Partial Least Square Based Feature Selection Method. Pattern Recognition, 83. pp. 91-106. DOI https://doi.org/10.1016/j.patcog.2018.05.012

Wang, Lihan and Gan, John Q and Zhang, Li and Wang, Haixan (2018) Differential recruitment of brain networks in single-digit addition and multiplication: Evidence from EEG oscillations in theta and lower alpha bands. International Journal of Psychophysiology, 128. pp. 81-92. DOI https://doi.org/10.1016/j.ijpsycho.2018.04.005

Zhang, Li and Gan, John Q and Zheng, Wenming and Wang, Haixian (2018) Spatiotemporal Phase Synchronization in Adaptive Reconfiguration from Action Observation Network to Mentalizing Network for Understanding Other’s Action Intention. Brain Topography, 31 (3). pp. 447-467. DOI https://doi.org/10.1007/s10548-017-0614-7

Li, Xuan and Gan, John Q and Wang, Haixian (2018) Collective sparse symmetric non-negative matrix factorization for identifying overlapping communities in resting-state brain functional networks. NeuroImage, 166. pp. 259-275. DOI https://doi.org/10.1016/j.neuroimage.2017.11.003

Martín-Smith, Pedro and Ortega, Julio and Asensio-Cubero, Javier and Gan, John Q and Ortiz, Andrés (2017) A supervised filter method for multi-objective feature selection in EEG classification based on multi-resolution analysis for BCI. Neurocomputing, 250. pp. 45-56. DOI https://doi.org/10.1016/j.neucom.2016.09.123

Zhang, Li and Gan, John Q and Wang, Haixian (2017) Neurocognitive mechanisms of mathematical giftedness: A literature review. Applied Neuropsychology: Child, 6 (1). pp. 79-94. DOI https://doi.org/10.1080/21622965.2015.1119692

Ortega, Julio and Asensio-Cubero, Javier and Gan, John Q and Ortiz, Andrés (2016) Classification of motor imagery tasks for BCI with multiresolution analysis and multiobjective feature selection. BioMedical Engineering OnLine, 15 (S1). 73-. DOI https://doi.org/10.1186/s12938-016-0178-x

Asensio-Cubero, Javier and Gan, John Q and Palaniappan, Ramaswamy (2016) Multiresolution analysis over graphs for a motor imagery based online BCI game. Computers in Biology and Medicine, 68. pp. 21-26. DOI https://doi.org/10.1016/j.compbiomed.2015.10.016

Zhang, Li and Gan, John Q and Wang, Haixian (2015) Localization of neural efficiency of the mathematically gifted brain through a feature subset selection method. Cognitive Neurodynamics, 9 (5). pp. 495-508. DOI https://doi.org/10.1007/s11571-015-9345-1

Tan, Xue-Min and Chen, Min-You and Gan, John Q (2015) A co-training algorithm based on modified Fisher's linear discriminant analysis. Intelligent Data Analysis, 19 (2). pp. 279-292. DOI https://doi.org/10.3233/ida-150717

Zhang, Li and Gan, John Q and Wang, Haixian (2014) Optimized gamma synchronization enhances functional binding of fronto-parietal cortices in mathematically gifted adolescents during deductive reasoning. Frontiers in Human Neuroscience, 8 (430). 430-. DOI https://doi.org/10.3389/fnhum.2014.00430

Gan, John Q and Awwad Shiekh Hasan, Bashar and Tsui, Chun Sing Louis (2014) A filter-dominating hybrid sequential forward floating search method for feature subset selection in high-dimensional space. International Journal of Machine Learning and Cybernetics, 5 (3). pp. 413-423. DOI https://doi.org/10.1007/s13042-012-0139-z

Nia, Hossein Farid Ghassem and Hu, osheng and Gan, John Q (2014) A novel fuzzy logic approach to online exposure time calculation of line scan cameras in industrial inspection. International Journal of Modelling, Identification and Control, 21 (1). p. 8. DOI https://doi.org/10.1504/ijmic.2014.059388

Asensio-Cubero, Javier and Gan, John Q and Palaniappan, Ramaswamy (2013) Extracting optimal tempo-spatial features using local discriminant bases and common spatial patterns for brain computer interfacing. Biomedical Signal Processing and Control, 8 (6). pp. 772-778. DOI https://doi.org/10.1016/j.bspc.2013.07.004

Oskoei, Mohammadreza Asghari and Hu, Huosheng and Gan, John Q (2013) Feature-channel subset selection for optimising myoelectric human-machine interface design. International Journal of Biomechatronics and Biomedical Robotics, 2 (2/3/4). pp. 195-208. DOI https://doi.org/10.1504/IJBBR.2013.058708

Hasan, Bashar Awwad Shiekh and Gan, John Q (2012) Hangman BCI: An unsupervised adaptive self-paced Brain–Computer Interface for playing games. Computers in Biology and Medicine, 42 (5). pp. 598-606. DOI https://doi.org/10.1016/j.compbiomed.2012.02.004

Amorim, Renato and Mirkin, Boris and Gan, John Q (2012) Anomalous pattern based clustering of mental tasks with subject independent learning – some preliminary results. Artificial Intelligence Research, 1 (1). p. 55. DOI https://doi.org/10.5430/air.v1n1p55

Hasan, Bashar Awwad Shiekh and Gan, John Q (2011) Temporal modeling of EEG during self-paced hand movement and its application in onset detection. Journal of Neural Engineering, 8 (5). 056015-056015. DOI https://doi.org/10.1088/1741-2560/8/5/056015

Tsui, Chun Sing Louis and Gan, John Q and Hu, Huosheng (2011) A Self-Paced Motor Imagery Based Brain-Computer Interface for Robotic Wheelchair Control. Clinical EEG and Neuroscience, 42 (4). pp. 225-229. DOI https://doi.org/10.1177/155005941104200407

Yoon, Ji Won and Roberts, Stephen J and Dyson, Mathew and Gan, John Q (2011) Bayesian inference for an adaptive Ordered Probit model: An application to Brain Computer Interfacing. Neural Networks, 24 (7). pp. 726-734. DOI https://doi.org/10.1016/j.neunet.2011.03.019

Hasan, Bashar Awwad Shiekh and Gan, John Q (2011) Conditional random fields as classifiers for three-class motor-imagery brain–computer interfaces. Journal of Neural Engineering, 8 (2). 025013-025013. DOI https://doi.org/10.1088/1741-2560/8/2/025013

Awwad Shiekh Hasan, Bashar and Gan, John Q (2010) Unsupervised movement onset detection from EEG recorded during self-paced real hand movement. Medical & Biological Engineering & Computing, 48 (3). pp. 245-253. DOI https://doi.org/10.1007/s11517-009-0550-0

Dyson, M and Sepulveda, Francisco and Gan, John Q (2010) Localisation of cognitive tasks used in EEG-based BCIs. Clinical Neurophysiology, 121 (9). pp. 1481-1493. DOI https://doi.org/10.1016/j.clinph.2010.03.011

Yoon, Ji Won and Roberts, Stephen J and Dyson, Matt and Gan, John Q (2009) Adaptive classification for Brain Computer Interface systems using Sequential Monte Carlo sampling. Neural Networks, 22 (9). pp. 1286-1294. DOI https://doi.org/10.1016/j.neunet.2009.06.005

Tsui, Chun Sing Louis and Gan, John Q and Roberts, Stephen J (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. Medical & Biological Engineering & Computing, 47 (3). pp. 257-265. DOI https://doi.org/10.1007/s11517-009-0459-7

Zhou, Shang-Ming and Gan, John Q (2008) Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling. Fuzzy Sets and Systems, 159 (23). pp. 3091-3131. DOI https://doi.org/10.1016/j.fss.2008.05.016

Zhou, Shang-Ming and Gan, John Q and Sepulveda, Francisco (2008) Classifying mental tasks based on features of higher-order statistics from EEG signals in brain–computer interface. Information Sciences, 178 (6). pp. 1629-1640. DOI https://doi.org/10.1016/j.ins.2007.11.012

Geng, Tao and Gan, John Q and Dyson, Matthew and Tsui, Chun SL and Sepulveda, Francisco (2008) A Novel Design of 4-Class BCI Using Two Binary Classifiers and Parallel Mental Tasks. Computational Intelligence and Neuroscience, 2008. pp. 1-5. DOI https://doi.org/10.1155/2008/437306

Conference or Workshop Item

Saikia, Adity and Khan, Md Arif and Pusph, Sumant and Tauhidi, Syed Ibtisam and Bhattacharyya, Rupam and Hazarika, Shyamanta M and Gan, John Q (2016) cBDI-based Collaborative Control for a Robotic Wheelchair. In: UNSPECIFIED, ? - ?.

Mouli, Surej and Palaniappan, Ramaswamy and Sillitoe, Ian P and Gan, John Q (2015) Quantification of SSVEP responses using multi-chromatic LED stimuli: Analysis on colour, orientation and frequency. In: 2015 7th Computer Science and Electronic Engineering (CEEC), 2015-09-24 - 2015-09-25.

Abdulhussain, Maysa I and Gan, John Q (2015) An experimental investigation on PCA based on cosine similarity and correlation for text feature dimensionality reduction. In: 2015 7th Computer Science and Electronic Engineering (CEEC), 2015-09-24 - 2015-09-25.

Plansangket, Suthira and Gan, John Q (2015) A new term weighting scheme based on class specific document frequency for document representation and classification. In: 2015 7th Computer Science and Electronic Engineering (CEEC), 2015-09-24 - 2015-09-25.

Ortega, Julio and Asensio-Cubero, Javier and Gan, John Q and Ortiz, Andrés (2015) Evolutionary Multiobjective Feature Selection in Multiresolution Analysis for BCI. In: UNSPECIFIED, ? - ?.

Martín-Smith, Pedro and Ortega, Julio and Asensio-Cubero, Javier and Gan, John Q and Ortiz, Andrés (2015) A Label-Aided Filter Method for Multi-objective Feature Selection in EEG Classification for BCI. In: UNSPECIFIED, ? - ?.

Wang, Lihan and Gan, John Q and Wang, Haixian (2014) CSP-Based EEG Analysis on Dissociated Brain Organization for Single-Digit Addition and Multiplication. In: UNSPECIFIED, ? - ?.

Asensio-Cubero, Javier and Gan, John Q and Palaniappan, Ramaswamy (2014) Wavelet Lifting over Information-Based EEG Graphs for Motor Imagery Data Classification. In: UNSPECIFIED, ? - ?.

Mouli, Surej and Palaniappan, Ramaswamy and Sillitoe, Ian P and Gan, John Q (2013) Performance analysis of multi-frequency SSVEP-BCI using clear and frosted colour LED stimuli. In: 2013 IEEE 13th International Conference on Bioinformatics and Bioengineering (BIBE), 2013-11-10 - 2013-11-13.

Zhang, Li and Wang, Haixian and Gan, John Q (2013) EEG-Based Cortical Localization of Neural Efficiency Related to Mathematical Giftedness. In: UNSPECIFIED, ? - ?.

Asensio-Cubero, Javier and Gan, John Q and Palaniappan, Ramaswamy (2012) Extracting common spatial patterns based on wavelet lifting for brain computer interface design. In: 2012 4th Computer Science and Electronic Engineering Conference (CEEC), 2012-09-12 - 2012-09-13.

Gan, John Q and Awwad Shiekh Hasan, Bashar and Tsui, Chun Sing Louis (2011) A Hybrid Approach to Feature Subset Selection for Brain-Computer Interface Design. In: UNSPECIFIED, ? - ?.

Al Moubayed, Noura and Shiekh Hasan, Bashar Awwad and Gan, John Q and Petrovski, Andrei and McCall, John (2010) Binary-SDMOPSO and its application in channel selection for Brain-Computer Interfaces. In: 2010 UK Workshop on Computational Intelligence (UKCI), 2010-09-08 - 2010-09-10.

Hasan, Bashar Awwad Shiekh and Gan, John Q and Zhang, Qingfu (2010) Multi-objective evolutionary methods for channel selection in Brain-Computer Interfaces: Some preliminary experimental results. In: 2010 IEEE Congress on Evolutionary Computation (CEC), 2010-07-18 - 2010-07-23.

Zhou, Shang-Ming and Gan, John Q and Xu, Lida and John, Robert I (2009) Fuzziness index driven fuzzy relaxation algorithm and applications to image processing. In: UNSPECIFIED, ? - ?.

Dyson, Matthew and Sepulveda, Francisco and Gan, John Q and Roberts, Stephen J (2009) Sequential classification of mental tasks vs. idle state for EEG based BCIs. In: 2009 4th International IEEE/EMBS Conference on Neural Engineering (NER), 2009-04-29 - 2009-05-02.

Hasan, Bashar Awwad Shiekh and Gan, John Q (2009) Unsupervised adaptive GMM for BCI. In: 2009 4th International IEEE/EMBS Conference on Neural Engineering (NER), 2009-04-29 - 2009-05-02.

Awwad Shiekh Hasan, Bashar and Gan, John Q (2009) Sequential EM for Unsupervised Adaptive Gaussian Mixture Model Based Classifier. In: UNSPECIFIED, ? - ?.

Asghari Oskoei, Mohammadreza and Hu, Huosheng and Gan, John Q (2008) Manifestation of fatigue in myoelectric signals of dynamic contractions produced during playing PC games. In: 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008-08-20 - 2008-08-25, United States.

Dyson, Matthew and Sepulveda, Francisco and Gan, John Q (2008) Mental task classification against the idle state: A preliminary investigation. In: 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008-08-20 - 2008-08-25, United States.

Tao Geng and Gan, John Q (2008) Motor prediction in Brain-Computer Interfaces for controlling mobile robots. In: 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008-08-20 - 2008-08-25, United States.

Ji Won Yoon and Roberts, Stephen J and Dyson, Matt and Gan, John Q (2008) Sequential Bayesian estimation for adaptive classification. In: 2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2008), 2008-08-20 - 2008-08-22.

Yoon, Ji Won and Roberts, Stephen J and Dyson, Matthew and Gan, John Q (2008) Adaptive Classification by Hybrid EKF with Truncated Filtering: Brain Computer Interfacing. In: UNSPECIFIED, ? - ?.

Dyson, Matthew and Balli, T and Gan, John Q and Sepulveda, F and Palaniappan, R (2008) Approximate entropy for EEG-based movement detection. In: UNSPECIFIED, ? - ?, 4th International Workshop on Brain-Computer Interfaces, Graz, Austria, 2008.

This list was generated on Wed Apr 24 03:40:45 2024 BST.