Chu Kiong Loo

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 116

Top Venues

Publications

Hemin Ibrahim, Abdulbasit K. Al-Talabani, Chu Kiong Loo
Utilizing Support Vector Machine to Help with Social Robot Therapy for Autism Spectrum Disorder. SSD (2024)
Jie Li, Xu Zhou, Sen Qiu, Yi Mao, Ziyang Wang, Chu Kiong Loo, Xiaofeng Liu
Learning-Based Stance Phase Detection and Multisensor Data Fusion for ZUPT-Aided Pedestrian Dead Reckoning System. IEEE Internet Things J. 11 (4) (2024)
Zongying Liu, Wenru Zhang, Mingyang Pan, Chu Kiong Loo, Kitsuchart Pasupa
Weighted error-output recurrent Xavier echo state network for concept drift handling in water level prediction. Appl. Soft Comput. 165 (2024)
Mehshan Ahmed Khan, Houshyar Asadi, Li Zhang, Mohammad Reza Chalak Qazani, Sam Oladazimi, Chu Kiong Loo, Chee Peng Lim, Saeid Nahavandi
Application of artificial intelligence in cognitive load analysis using functional near-infrared spectroscopy: A systematic review. Expert Syst. Appl. 249 (2024)
Feng Zhao, Wan Xianlin, Cheng Yan, Chu Kiong Loo
Correcting Language Model Bias for Text Classification in True Zero-Shot Learning. LREC/COLING (2024)
Jie Li, Xiao Gu, Sen Qiu, Xu Zhou, Angelo Cangelosi, Chu Kiong Loo, Xiaofeng Liu
A Survey of Wearable Lower Extremity Neurorehabilitation Exoskeleton: Sensing, Gait Dynamics, and Human-Robot Collaboration. IEEE Trans. Syst. Man Cybern. Syst. 54 (6) (2024)
Fei Li, Chu Kiong Loo, Wei Shiung Liew, Xiaofeng Liu
Loop Improvement: An Efficient Approach for Extracting Shared Features from Heterogeneous Data without Central Server. CoRR (2024)
Junjun Huang, Shier Nee Saw, Tianran He, Ruohan Yang, Yesheng Qin, Yanlin Chen, Chu Kiong Loo
DCNNLFS: A Dilated Convolutional Neural Network With Late Fusion Strategy for Intelligent Classification of Gastric Histopathology Images. IEEE J. Biomed. Health Informatics 28 (8) (2024)
Sherzod Turaev, Aiswarya Babu, Saja Al-Dabet, Jaloliddin Rustamov, Zahiriddin Rustamov, Nazar Zaki, Mohd Saberi Mohamad, Chu Kiong Loo
Data-Driven Analysis of Patients' Body Language in Healthcare: A Comprehensive Review. IEEE Access 12 (2024)
Zipeng Wu, Chu Kiong Loo, Kitsuchart Pasupa
Correlated Online k-Nearest Neighbors Regressor Chain for Online Multi-output Regression. ICONIP (3) (2023)
Fatai Sado, Chu Kiong Loo, Wei Shiung Liew, Matthias Kerzel, Stefan Wermter
Explainable Goal-driven Agents and Robots - A Comprehensive Review. ACM Comput. Surv. 55 (10) (2023)
Zongying Liu, Xiao Han Xu, Mingyang Pan, Chu Kiong Loo, Shaoxi Li
Weighted error-output recurrent echo kernel state network for multi-step water level prediction. Appl. Soft Comput. 137 (2023)
Chu Kiong Loo, Wei Shiung Liew, Stefan Wermter
Explainable Lifelong Stream Learning Based on "Glocal" Pairwise Fusion. CoRR (2023)
Naoki Masuyama, Takanori Takebayashi, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi, Stefan Wermter
A Parameter-free Adaptive Resonance Theory-based Topological Clustering Algorithm Capable of Continual Learning. CoRR (2023)
Shuaibing Liang, Chu Kiong Loo, Aznul Qalid Md Sabri, Kok Wai Wong
Autonomous Learning of Fuzzy Recurrent Neural Networks for Human Activity Recognition. ICMLC (2023)
Naoki Masuyama, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi
Multi-Label Classification via Adaptive Resonance Theory-Based Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Sherzod Turaev, Saja Al-Dabet, Aiswarya Babu, Zahiriddin Rustamov, Jaloliddin Rustamov, Nazar Zaki, Mohd Saberi Mohamad, Chu Kiong Loo
Review and Analysis of Patients' Body Language From an Artificial Intelligence Perspective. IEEE Access 11 (2023)
Junjun Huang, Shier Nee Saw, Tianran He, Wei Feng, Chu Kiong Loo
A masked graph neural network model for real-time gastric polyp detection in Healthcare 4.0. J. Ind. Inf. Integr. 34 (2023)
Nazar Zaki, Harsh Singh, Chu Kiong Loo, Nadeen Zaki, Salama Alnuaimi
Real-Time Population Density Estimation in Dubai Through Deep Learning and Car Counting in Satellite Images. ICMLC (2023)
Thanawat Lodkaew, Kitsuchart Pasupa, Chu Kiong Loo
CowXNet: An automated cow estrus detection system. Expert Syst. Appl. 211 (2023)
Naoki Masuyama, Yusuke Nojima, Yuichiro Toda, Chu Kiong Loo, Hisao Ishibuchi, Naoyuki Kubota
Privacy-preserving Continual Federated Clustering via Adaptive Resonance Theory. CoRR (2023)
Li Fei, Chu Kiong Loo, Wei Shiung Liew, Xiaofeng Liu
FedLoop: A P2P Personalized Federated Learning Method on Heterogeneous Data. SSCI (2023)
Hemin Ibrahim, Chu Kiong Loo, Fady Alnajjar
Bidirectional parallel echo state network for speech emotion recognition. Neural Comput. Appl. 34 (20) (2022)
Biao Yang, Fucheng Fan, Rongrong Ni, Jie Li, Chu Kiong Loo, Xiaofeng Liu
Continual learning-based trajectory prediction with memory augmented networks. Knowl. Based Syst. 258 (2022)
Ghalib Ahmed Tahir, Tahir Chu, Chu Kiong Loo
Novel Multicolumn Kernel Extreme Learning Machine for Food Detection via Optimal Features from CNN. CoRR (2022)
Zongying Liu, Shaoxi Li, Mingyang Pan, Chu Kiong Loo
Grammatical structure detection by Instinct Plasticity based Echo State Networks with Genetic Algorithm. Neurocomputing 467 (2022)
Gin Chong Lee, Chu Kiong Loo
On the Post Hoc Explainability of Optimized Self-Organizing Reservoir Network for Action Recognition. Sensors 22 (5) (2022)
Alok Yadav, Kitsuchart Pasupa, Chu Kiong Loo
Revisiting Echo State Networks for Continuous Gesture Recognition. SSCI (2022)
Vadym Gryshchuk, Cornelius Weber, Chu Kiong Loo, Stefan Wermter
Go ahead and do not forget: Modular lifelong learning from event-based data. Neurocomputing 500 (2022)
Wei Hong Chin, Wen Bang Dou, Naoyuki Kubota, Chu Kiong Loo
A Robust Growing Memory Network for Lifelong Learning of Intelligent Agents. IJCNN (2022)
Ghalib Ahmed Tahir, Chu Kiong Loo, Zongying Liu
Modeling Generalized Specialist Approach To Train Quality Resilient Snapshot Ensemble. CoRR (2022)
Zipeng Wu, Chu Kiong Loo, Kitsuchart Pasupa, Licheng Xu
An Interpretable Multi-target Regression Method for Hierarchical Load Forecasting. ICONIP (7) (2022)
Ghalib Ahmed Tahir, Chu Kiong Loo
Explainable deep learning ensemble for food image analysis on edge devices. Comput. Biol. Medicine 139 (2021)
Fady Alnajjar, Massimiliano Lorenzo Cappuccio, Abdulrahman Majed Renawi, Omar Mubin, Chu Kiong Loo
Personalized Robot Interventions for Autistic Children: An Automated Methodology for Attention Assessment. Int. J. Soc. Robotics 13 (1) (2021)
Vadym Gryshchuk, Cornelius Weber, Chu Kiong Loo, Stefan Wermter
Lifelong Learning from Event-based Data. CoRR (2021)
Hemin Ibrahim, Chu Kiong Loo, Fady Alnajjar
Grouped Echo State Network with Late Fusion for Speech Emotion Recognition. ICONIP (3) (2021)
Wei Shiung Liew, Chu Kiong Loo, Stefan Wermter
Emotion Recognition Using Explainable Genetically Optimized Fuzzy ART Ensembles. IEEE Access 9 (2021)
Hemin Ibrahim, Chu Kiong Loo, Fady Alnajjar
Speech Emotion Recognition by Late Fusion for Bidirectional Reservoir Computing With Random Projection. IEEE Access 9 (2021)
Shuaibing Liang, Aznul Qalid Md Sabri, Fady Alnajjar, Chu Kiong Loo
Autism Spectrum Self-Stimulatory Behaviors Classification Using Explainable Temporal Coherency Deep Features and SVM Classifier. IEEE Access 9 (2021)
Vadym Gryshchuk, Cornelius Weber, Chu Kiong Loo, Stefan Wermter
Lifelong Learning from Event-based Data. ESANN (2021)
Ghalib Ahmed Tahir, Chu Kiong Loo
A Review of the Vision-based Approaches for Dietary Assessment. CoRR (2021)
Sundus Abrar, Chu Kiong Loo, Naoyuki Kubota
A Multi-Agent Approach for Personalized Hypertension Risk Prediction. IEEE Access 9 (2021)
Naoki Masuyama, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi
Multi-label Classification via Adaptive Resonance Theory-based Clustering. CoRR (2021)
A. Mustafa Ihsan, Chu Kiong Loo, Sinan A. Naji, Manjeevan Seera
Superpixels Features Extractor Network (SP-FEN) for Clothing Parsing Enhancement. Neural Process. Lett. 51 (3) (2020)
Sundus Abrar, Chu Kiong Loo, Naoyuki Kubota, Ghalib Ahmed Tahir
A Personalised Blood Pressure Prediction System using Gaussian Mixture Regression and Online Recurrent Extreme Learning Machine. CcS (2020)
Gin Chong Lee, Chu Kiong Loo, Wei Shiung Liew, Stefan Wermter
Self-Organizing Kernel-based Convolutional Echo State Network for Human Actions Recognition. ESANN (2020)
Naoki Masuyama, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi
Multi-label Classification Based on Adaptive Resonance Theory. SSCI (2020)
Wei Hong Chin, Nuo Wi Noel Tay, Naoyuki Kubota, Chu Kiong Loo
A Lightweight Neural-Net with Assistive Mobile Robot for Human Fall Detection System. IJCNN (2020)
Ghalib Ahmed Tahir, Chu Kiong Loo
Mitigating Catastrophic Forgetting In Adaptive Class Incremental Extreme Learning Machine Through Neuron Clustering. SMC (2020)
Ghalib Ahmed Tahir, Chu Kiong Loo
An Open-Ended Continual Learning for Food Recognition Using Class Incremental Extreme Learning Machines. IEEE Access 8 (2020)
Fatai Sado, Chu Kiong Loo, Matthias Kerzel, Stefan Wermter
Explainable Goal-Driven Agents and Robots - A Comprehensive Review and New Framework. CoRR (2020)
Zongying Liu, Chu Kiong Loo, Kitsuchart Pasupa, Manjeevan Seera
Meta-cognitive recurrent kernel online sequential extreme learning machine with kernel adaptive filter for concept drift handling. Eng. Appl. Artif. Intell. 88 (2020)
Ghalib Ahmed Tahir, Chu Kiong Loo, Foong Ming Moy, Nadine Kong
Evaluation Of Issues, Usability And Functionality Of Dietary Related Mobile Applications: A Systematic Literature Review. CoRR (2020)
Zohreh Dehghani Champiri, Brian Fisher, Chu Kiong Loo, Mahmoud Danaee
How Contextual Data Influences User Experience with Scholarly Recommender Systems: An Empirical Framework. HCI (41) (2020)
Muhammad Anwaar, Chu Kiong Loo, Manjeevan Seera
Face image synthesis with weight and age progression using conditional adversarial autoencoder. Neural Comput. Appl. 32 (8) (2020)
Narito Amako, Naoki Masuyama, Chu Kiong Loo, Yusuke Nojima, Yiping Liu, Hisao Ishibuchi
Multilayer Clustering Based on Adaptive Resonance Theory for Noisy Environments. IJCNN (2020)
Yuna Yamada, Naoki Masuyama, Narito Amako, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi
Divisive Hierarchical Clustering Based on Adaptive Resonance Theory. CcS (2020)
Zongying Liu, Chu Kiong Loo, Manjeevan Seera
Meta-cognitive Recurrent Recursive Kernel OS-ELM for concept drift handling. Appl. Soft Comput. 75 (2019)
Wei Hong Chin, Naoyuki Kubota, Chu Kiong Loo, Zhaojie Ju, Honghai Liu
Spatial Map Learning with Self-Organizing Adaptive Recurrent Incremental Network. IJCNN (2019)
Naoki Masuyama, Narito Amako, Yusuke Nojima, Yiping Liu, Chu Kiong Loo, Hisao Ishibuchi
Fast Topological Adaptive Resonance Theory Based on Correntropy Induced Metric. SSCI (2019)
Hossein Siamaknejad, Wei Shiung Liew, Chu Kiong Loo
Fractal dimension methods to determine optimum EEG electrode placement for concentration estimation. Neural Comput. Appl. 31 (3) (2019)
Wei Hong Chin, Yuichiro Toda, Naoyuki Kubota, Chu Kiong Loo, Manjeevan Seera
Episodic Memory Multimodal Learning for Robot Sensorimotor Map Building and Navigation. IEEE Trans. Cogn. Dev. Syst. 11 (2) (2019)
Kitsuchart Pasupa, Wisuwat Sunhem, Chu Kiong Loo
A hybrid approach to building face shape classifier for hairstyle recommender system. Expert Syst. Appl. 120 (2019)
Naoki Masuyama, Chu Kiong Loo, Stefan Wermter
A Kernel Bayesian Adaptive Resonance Theory with A Topological Structure. Int. J. Neural Syst. 29 (5) (2019)
Habeebah Adamu Kakudi, Chu Kiong Loo, Foong Ming Moy, Naoki Masuyama, Kitsuchart Pasupa
Diagnosing Metabolic Syndrome Using Genetically Optimised Bayesian ARTMAP. IEEE Access 7 (2019)
Naoki Masuyama, Chu Kiong Loo, Hisao Ishibuchi, Naoyuki Kubota, Yusuke Nojima, Yiping Liu
Topological Clustering via Adaptive Resonance Theory With Information Theoretic Learning. IEEE Access 7 (2019)
Zongying Liu, Chu Kiong Loo, Min Jiang
Grammatical Structure Detection with Intrinsic Plasticity based Echo State Networks for Cognitive Robot. SSCI (2019)
Parham Nooralishahi, Chu Kiong Loo, Wei Shiung Liew
Robust remote heart rate estimation from multiple asynchronous noisy channels using autoregressive model with Kalman filter. Biomed. Signal Process. Control. 47 (2019)
Wei Shiung Liew, Chu Kiong Loo, Vadym Gryshchuk, Cornelius Weber, Stefan Wermter
Effect of Pruning on Catastrophic Forgetting in Growing Dual Memory Networks. IJCNN (2019)
Zongying Liu, Chu Kiong Loo, Kitsuchart Pasupa
Real-Time Financial Data Prediction Using Meta-cognitive Recurrent Kernel Online Sequential Extreme Learning Machine. ICONIP (3) (2019)
Zongying Liu, Chu Kiong Loo, Kitsuchart Pasupa
Handling Concept Drift in Time-Series Data: Meta-cognitive Recurrent Recursive-Kernel OS-ELM. ICONIP (6) (2018)
Kuldeep Randhawa, Chu Kiong Loo, Manjeevan Seera, Chee Peng Lim, Asoke K. Nandi
Credit Card Fraud Detection Using AdaBoost and Majority Voting. IEEE Access 6 (2018)
Naoki Masuyama, Chu Kiong Loo, Manjeevan Seera, Naoyuki Kubota
Quantum-Inspired Multidirectional Associative Memory With a Self-Convergent Iterative Learning. IEEE Trans. Neural Networks Learn. Syst. 29 (4) (2018)
Yuya Shibata, Keita Tsuji, Chu Kiong Loo, Guanghao Sun, Yoichi Yamazaki, Takuya Hashimoto
Vision-based HRV Measurement for HRI Study. SSCI (2018)
Parham Nooralishahi, Chu Kiong Loo, Manjeevan Seera
Semi-supervised topo-Bayesian ARTMAP for noisy data. Appl. Soft Comput. 62 (2018)
Zongying Liu, Chu Kiong Loo, Naoki Masuyama, Kitsuchart Pasupa
Recurrent Kernel Extreme Reservoir Machine for Time Series Prediction. IEEE Access 6 (2018)
Farhan Dawood, Chu Kiong Loo
Developmental Approach for Behavior Learning Using Primitive Motion Skills. Int. J. Neural Syst. 28 (4) (2018)
Bardia Yousefi, Chu Kiong Loo
A dual fast and slow feature interaction in biologically inspired visual recognition of human action. Appl. Soft Comput. 62 (2018)
Tze How Dickson Neoh, Khairul Salleh Mohamed Sahari, Chu Kiong Loo
Long Short-Term Memory in Recognizing Behavior Sequences on Humanoid Robot. SCIS&ISIS (2018)
Gin Chong Lee, Chu Kiong Loo, Naoki Masuyama
Parameters Estimation in Topological Kernel Bayesian ART using Multi-objective Particle Swarm Optimization. SSCI (2018)
Wei Hong Chin, Chu Kiong Loo
Topological Gaussian ARAM for biologically inspired topological map building. Neural Comput. Appl. 29 (4) (2018)
Naoki Masuyama, Chu Kiong Loo, Manjeevan Seera
Personality affected robotic emotional model with associative memory for human-robot interaction. Neurocomputing 272 (2018)
Naoki Masuyama, Chu Kiong Loo, Hisao Ishibuchi, Yusuke Nojima, Yiping Lin
Topological Kernel Bayesian ARTMAP. WAC (2018)
Wei Hong Chin, Yuichiro Toda, Naoyuki Kubota, Jinseok Woo, Chu Kiong Loo
An Episodic Memory Model with Slow Features Extraction for Topological Map Building. MHS (2018)
Naoki Masuyama, Chu Kiong Loo, Farhan Dawood
Kernel Bayesian ART and ARTMAP. Neural Networks 98 (2018)
Md. Nazrul Islam, Manjeevan Seera, Chu Kiong Loo
A robust incremental clustering-based facial feature tracking. Appl. Soft Comput. 53 (2017)
Takenori Obo, Chu Kiong Loo, Manjeevan Seera, Takahiro Takeda, Naoyuki Kubota
Arm motion analysis using genetic algorithm for rehabilitation and healthcare. Appl. Soft Comput. 52 (2017)
Wei Shiung Liew, Chu Kiong Loo, Takenori Obo
Optimizing FELM ensembles using GA-BIC. IFSA-SCIS (2017)
Chea-Yau Kee, S. G. Ponnambalam, Chu Kiong Loo
Binary and multi-class motor imagery using Renyi entropy for feature extraction. Neural Comput. Appl. 28 (8) (2017)
Md. Nazrul Islam, Chu Kiong Loo, Manjeevan Seera
Incremental Clustering-Based Facial Feature Tracking Using Bayesian ART. Neural Process. Lett. 45 (3) (2017)
Rishwaraj Gengarajoo, S. G. Ponnambalam, Chu Kiong Loo
Heuristics-Based Trust Estimation in Multiagent Systems Using Temporal Difference Learning. IEEE Trans. Cybern. 47 (8) (2017)
Habeebah A. Kakudi, Chu Kiong Loo, Kitsuchart Pasupa
Risk Quantification of Metabolic Syndrome with Quantum Particle Swarm Optimisation. WWW (Companion Volume) (2017)
Rishwaraj Gengarajoo, S. G. Ponnambalam, Chu Kiong Loo
An efficient trust estimation model for multi-agent systems using temporal difference learning. Neural Comput. Appl. 28 (S-1) (2017)
Habeebah Adamu Kakudi, Chu Kiong Loo, Foong Ming Moy
Predicting metabolic syndrome using risk quantification and ensemble methods. SSCI (2017)
Parham Nooralishahi, Manjeevan Seera, Chu Kiong Loo
Online semi-supervised multi-channel time series classifier based on growing neural gas. Neural Comput. Appl. 28 (11) (2017)
Zongying Liu, Chu Kiong Loo, Kitsuchart Pasupa
Recurrent kernel online sequential extreme learning machine with kernel adaptive filter for time series prediction. SSCI (2017)
Naoki Masuyama, Md. Nazrul Islam, Manjeevan Seera, Chu Kiong Loo
Application of emotion affected associative memory based on mood congruency effects for a humanoid. Neural Comput. Appl. 28 (4) (2017)
Kitsuchart Pasupa, Wisuwat Sunhem, Chu Kiong Loo, Yoshimitsu Kuroki
Can Eye Movement Improve Prediction Performance on Human Emotions Toward Images Classification? ICONIP (4) (2017)
Manjeevan Seera, Chee Peng Lim, Chu Kiong Loo, Harapajan Singh
Power Quality Analysis Using a Hybrid Model of the Fuzzy Min-Max Neural Network and Clustering Tree. IEEE Trans. Neural Networks Learn. Syst. 27 (12) (2016)
Takenori Obo, Chu Kiong Loo, Manjeevan Seera, Naoyuki Kubota
Hybrid evolutionary neuro-fuzzy approach based on mutual adaptation for human gesture recognition. Appl. Soft Comput. 42 (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Chu Kiong Loo