Evolutionary PID control of non-minimum phase plants. - G. K. Kau; S. K. Mukherjee; Chu Kiong Loo; Lee Chung Kwek (ICARCV, 2002)

A new class of operators to accelerate particle swarm optimization. - Tiew-On Ting; M. V. C. Rao; Chu Kiong Loo; Sze-San Ngu (IEEE Congress on Evolutionary Computation, 2003)

Explicit communication in designing efficient cooperative mobile robotic system. - Y. K. Lam; E. K. Wong; Chu Kiong Loo (ICRA, 2003)

Extrapolation detection and novelty-based node insertion for sequential growing multi-experts network. - Chu Kiong Loo; Mandava Rajeswari; M. V. C. Rao (Appl. Soft Comput., 2003)

Nonlinear dynamic system identification and control via constructivism inspired neural network. - Chu Kiong Loo; Mandava Rajeswari; M. V. C. Rao (Appl. Soft Comput., 2003)

Solving Unit Commitment Problem Using Hybrid Particle Swarm Optimization. - Tiew-On Ting; M. V. C. Rao; Chu Kiong Loo; Sze-San Ngu (J. Heuristics, 2003)

Application of Active Force Control and Iterative Learning in a 5-Link Biped Robot. - Lee Chung Kwek; E. K. Wong; Chu Kiong Loo; M. V. C. Rao (J. Intell. Robotic Syst., 2003)

Classifiers for Sonar Target Differentiation. - Chu Kiong Loo; Way-Soong Lim; M. V. C. Rao (KES, 2004)

Mobile Robot Path Planning Using Hybrid Genetic Algorithm and Traversability Vectors Method. - Chu Kiong Loo; Mandava Rajeswari; E. K. Wong; M. V. C. Rao (Intell. Autom. Soft Comput., 2004)

A Hybrid Intelligent Active Force Controller for Articulated Robot Arms Using Dynamic Structure Neural Network. - Chu Kiong Loo; Mandava Rajeswari; M. V. C. Rao (J. Intell. Robotic Syst., 2004)

Associative Memory Based Image and Object Recognition by Quantum Holography. - Chu Kiong Loo; Mitja Perus; Horst Bischof (Open Syst. Inf. Dyn., 2004)

Novel direct and self-regulating approaches to determine optimum growing multi-experts network structure. - Chu Kiong Loo; Mandava Rajeswari; Machavaram Venkata Chalapathy Rao (IEEE Trans. Neural Networks, 2004)

Real time actions and gestures as intuitive user interface for creative 3D modeling. - N. K. Looi; Chu Kiong Loo; Kiu Nai Pau (AMT, 2005)

Implementation of Evolutionary Active Force Control in a 5-Link Biped Robot. - Lee Chung Kwek; C. C. Kang; Chu Kiong Loo; E. K. Wong (Intell. Autom. Soft Comput., 2005)

Accurate and Reliable Diagnosis and Classification Using Probabilistic Ensemble Simplified Fuzzy ARTMAP. - Chu Kiong Loo; M. V. C. Rao (IEEE Trans. Knowl. Data Eng., 2005)

Autonomous and Deterministic Clustering for Evidence-Theoretic Classifier. - Chen Li Poh; Chu Kiong Loo; M. V. C. Rao (ICONIP (2), 2006)

Autonomous and Deterministic Probabilistic Neural Network Using Global k-Means. - Roy Kwang Yang Chang; Chu Kiong Loo; Machavaram Venkata Chalapathy Rao (ISNN (1), 2006)

Robust incremental growing multi-experts network. - Chu Kiong Loo; Mandava Rajeswari; Machavaram Venkata Chalapathy Rao (Appl. Soft Comput., 2006)

Probabilistic ensemble simplified fuzzy ARTMAP for sonar target differentiation. - Chu Kiong Loo; Augustine Law; Way-Soong Lim; M. V. C. Rao (Neural Comput. Appl., 2006)

Quantum Bio-inspired Vision Model on System-on-a-Chip (SoC). - Chu Kiong Loo; Joo Peng Teh (ICES, 2008)

Bayesian Fusion of Auditory and Visual Spatial Cues during Fixation and Saccade in Humanoid Robot. - Wei Kin Wong; Tze Ming Neoh; Chu Kiong Loo; Chuan Poh Ong (ICONIP (1), 2008)

Quantum Bio-inspired Invariant Object Recognition Model on System-on-a-Chip (SoC). - Chu Kiong Loo; Joo Peng Teh (RAM, 2008)

Classification of Motor Imaginary Tasks using Adaptive Recursive Bandpass Filter - Effective Classification for Motor Imaginary BCI. - Vickneswaran Jeyabalan; Samraj Andrews; Chu Kiong Loo (SIGMAP, 2008)

A Global k-means Approach for Autonomous Cluster Initialization of Probabilistic Neural Network. - Roy Kwang Yang Chang; Chu Kiong Loo; M. V. C. Rao (Informatica (Slovenia), 2008)

Classification of Motor Imaginary Signals for Machine Commmunication - A Novel Approach for Brain Machine Interface Design. - Vickneswaran Jeyabalan; Samraj Andrews; Chu Kiong Loo (ICSAP, 2009)

Omnidirectional Surveillance System for Digital Home Security. - Wai Kit Wong; Joanne Tze Yen Liew; Chu Kiong Loo; Wei Kin Wong (ICSAP, 2009)

An Effective Surveillance System Using Thermal Camera. - Wai Kit Wong; Poi Ngee Tan; Chu Kiong Loo; Way-Soong Lim (ICSAP, 2009)

Quantum Morphogenetic System in image recognition. - Germano Resconi; Chu Kiong Loo; Nuo Wi Noel Tay (IJCNN, 2009)

Quaternion Based Thermal Condition Monitoring System. - Wai Kit Wong; Chu Kiong Loo; Way-Soong Lim; Poi Ngee Tan (IWNC, 2009)

Two-Factor Face Authentication: Topographic Independent Component Analysis (TICA) and Multispace Random Projection (MRP). - Gin Chong Lee; Chu Kiong Loo; Letchumanan Chockalingam (SoCPaR, 2009)

Adaptive Case Based Reasoning for Fault Diagnosis. - Shen-Yee Pang; Chu Kiong Loo; Way-Soong Lim (SoCPaR, 2009)

On the optimal control of the steel annealing processes as a two-stage hybrid systems via PSO algorithms. - M. Senthil Arumugam; Gajula Ramana Murthy; Chu Kiong Loo (Int. J. Bio Inspired Comput., 2009)

Hybrid particle swarm optimization algorithm with fine tuning operators. - Gajula Ramana Murthy; M. Senthil Arumugam; Chu Kiong Loo (Int. J. Bio Inspired Comput., 2009)

Enhanced probabilistic neural network with data imputation capabilities for machine-fault classification. - Roy Kwang Yang Chang; Chu Kiong Loo; M. V. C. Rao (Neural Comput. Appl., 2009)

Quantum Morphogenetic System in View-Invariant recognition. - Germano Resconi; Chu Kiong Loo; Nuo Wi Noel Tay (IJCNN, 2010)

Combinatory Feature Selection Method on ECG and HRV Signal Analysis for Stress Level Detection Using ANFIS Classifier. - Ali Afzalian Mand; Chu Kiong Loo; Wei Shiung Liew (Intelligent Environments (Workshops), 2010)

Facial pose estimation using modified synergetic computer. - Gin Chong Lee; Chu Kiong Loo (NaBIC, 2010)

PSO optimization of synergetic neural classifier for multichannel emotion recognition. - Wee Ming Wong; Alan W. C. Tan; Chu Kiong Loo; Wei Shiung Liew (NaBIC, 2010)

Meditainment and innotainment for improving health and intellect. - Samraj Andrews; Chu Kiong Loo (Comput. Entertain., 2010)

Face Recognition with Quantum Associative Networks Using Overcomplete Gabor Wavelet. - Nuo Wi Noel Tay; Chu Kiong Loo; Mitja Perus (Cogn. Comput., 2010)

FPGA implementation of log-polar mapping. - Wai Kit Wong; Chee Wee Choo; Chu Kiong Loo; Joo Peng Teh (Int. J. Comput. Appl. Technol., 2010)

Application of Gabor Wavelet in Quantum Holography for Image Recognition. - Nuo Wi Noel Tay; Chu Kiong Loo; Mitja Perus (Int. J. Nanotechnol. Mol. Comput., 2010)

Thermal condition monitoring system using log-polar mapping, quaternion correlation and max-product fuzzy neural network classification. - Wai Kit Wong; Chu Kiong Loo; Way-Soong Lim; Poi Ngee Tan (Neurocomputing, 2010)

Eliminating Forgers Based on Intra Trial Variability in Online Signature Verification Using Handglove and Photometric Signals. - Andrews Samraj; Md Shohel Sayeed; Chu Kiong Loo; Nikos E. Mastorokis (J. Information Security, 2010)

Morphic Computing Inspired Hopfield Model for Sensorimotor Transformation (Vestibule-Ocular System). - Germano Resconi; Chu Kiong Loo (IBICA, 2011)

Off-time swimming pool surveillance using thermal imaging system. - Wai Kit Wong; Joe How Hui; Chu Kiong Loo; Way-Soong Lim (ICSIPA, 2011)

A study of different unwarping methods for omnidirectional imaging. - Wai Kit Wong; Wee ShenPua; Chu Kiong Loo; Way-Soong Lim (ICSIPA, 2011)

Autonomous and deterministic supervised fuzzy clustering with data imputation capabilities. - Kian-Ming Lim; Chu Kiong Loo; Lim Way Soong (Appl. Soft Comput., 2011)

Evaluation of fractal dimension estimation methods for feature extraction in motor imagery based brain computer interface. - Umut Güçlü; Yagmur Güçlütürk; Chu Kiong Loo (WCIT, 2011)

Object Recognition Using Sparse Representation of Overcomplete Dictionary. - Chu Kiong Loo; Ali Memariani (ICONIP (4), 2012)

Genetic Ensemble Biased ARTMAP Method of ECG-Based Emotion Classification. - Chu Kiong Loo; Wei Shiung Liew; Md Shohel Sayeed (IIMSS, 2012)

Development of Fast Incremental Slow Feature Analysis (F-IncSFA). - Bardia Yousefi; Chu Kiong Loo (IJCNN, 2012)

Topological Gaussian ARAM for Simultaneous Localization and Mapping (SLAM). - Wei Hong Chin; Chu Kiong Loo (MHS, 2012)

Genetic-Optimized Classifier Ensemble for Cortisol Salivary Measurement Mapping to Electrocardiogram Features for Stress Evaluation. - Chu Kiong Loo; Soon-Fatt Cheong; Margaret A. Seldon; Ali Afzalian Mand; Kalaiarasi Sonai Muthu; Wei Shiung Liew; Einly Lim (PRICAI, 2012)

An integrated approach for head gesture based interface. - Gin Chong Lee; Chu Kiong Loo; Letchumanan Chockalingam (Appl. Soft Comput., 2012)

Biologically Inspired Face Recognition: toward Pose-Invariance. - Nuo Wi Noel Tay; Chu Kiong Loo; Letchumanan Chockalingam (Int. J. Neural Syst., 2012)

Transformative Robotic Education for the Realization of Malaysia National Philosophy of Education. - Sau Cheong Loh; Chu Kiong Loo; Hock Chuan Loh; Yoke Kit Lim (FIRA, 2013)

Image Classification Using Optimized Synergetic Neural Network. - Ghazaleh Taherzadeh; Chu Kiong Loo (FIRA, 2013)

A Novel Complex-Valued Fuzzy ARTMAP for Sparse Dictionary Learning. - Chu Kiong Loo; Ali Memariani; Wei Shiung Liew (ICONIP (1), 2013)

Incremental on-line learning of human motion using Gaussian adaptive resonance hidden Markov model. - Farhan Dawood; Chu Kiong Loo; Wei Hong Chin (IJCNN, 2013)

Optimizing Fuzzy ARTMAP Ensembles Using Hierarchical Parallel Genetic Algorithms and Negative Correlation. - Chu Kiong Loo; Wei Shiung Liew; Einly Lim (ISNN (1), 2013)

Biological inspired human action recognition. - Bardia Yousefi; Chu Kiong Loo; Ali Memariani (RiiSS, 2013)

Biologically Inspired Topological Gaussian ARAM for Robot Navigation. - Wei Hong Chin; Chu Kiong Loo (RVSP, 2013)

Human-Robot Interaction System with Quantum-Inspired Bidirectional Associative Memory. - Naoki Masuyama; Chu Kiong Loo; Naoyuki Kubota (RVSP, 2013)

Biologically Inspired Dictionary Learning for Visual Pattern Recognition. - Ali Memariani; Chu Kiong Loo (Informatica (Slovenia), 2013)

Quaternion Based Fuzzy Neural Network Classifier for MPIK Dataset's View-invariant Color Face Image Recognition. - Wai Kit Wong; Gin Chong Lee; Chu Kiong Loo; Raymond Lock (Informatica (Slovenia), 2013)

Learning the Mapping Rules for Sentiment Analysis. - Saravadee Sae Tan; Lay-Ki Soon; Tek Yong Lim; Enya Kong Tang; Chu Kiong Loo (Web-KRM@CIKM, 2014)

Quantum-inspired multidirectional associative memory for human-robot interaction system. - Naoki Masuyama; Chu Kiong Loo (FUZZ-IEEE, 2014)

Artificial Curiosity Driven Robots with Spatiotemporal Regularity Discovery Ability. - Davood Kalhor; Chu Kiong Loo (ICIC (2), 2014)

Topological Gaussian Adaptive Resonance Associative Memory with Fuzzy Motion Planning for Place Navigation. - Wei Hong Chin; Chu Kiong Loo (ICONIP (3), 2014)

Geometric Feature-Based Facial Emotion Recognition Using Two-Stage Fuzzy Reasoning Model. - Md. Nazrul Islam; Chu Kiong Loo (ICONIP (2), 2014)

Wavelet Based SDA for Face Recognition. - Goh Fan Ling; Pang Ying Han; Liew Yee Ping; Shih Yin Ooi; Chu Kiong Loo (ICONIP (3), 2014)

Transfer Learning Using the Online FMM Model. - Manjeevan Seera; Chee Peng Lim; Chu Kiong Loo (ICONIP (1), 2014)

Condition Monitoring of Broken Rotor Bars Using a Hybrid FMM-GA Model. - Manjeevan Seera; Chee Peng Lim; Chu Kiong Loo (ICONIP (3), 2014)

Comparison of Applying Centroidal Voronoi Tessellations and Levenberg-Marquardt on Hybrid SP-QPSO Algorithm for High Dimensional Problems. - Ghazaleh Taherzadeh; Chu Kiong Loo (ICSI (1), 2014)

Modeling Associative Memories Using Formal Concept Analysis. - Cherukuri Aswani Kumar; M. S. Ishwarya; Chu Kiong Loo (INNS-CIIS, 2014)

3D Object Detection for Reconstructed Scene Using Multi-layer Growing Neural Gas. - Parham Nooralishahi; Chu Kiong Loo (INNS-CIIS, 2014)

Autonomous motion primitive segmentation of actions for incremental imitative learning of humanoid. - Farhan Dawood; Chu Kiong Loo (RiiSS, 2014)

Affective communication robot partners using associative memory with mood congruency effects. - Naoki Masuyama; Md. Nazrul Islam; Chu Kiong Loo (RiiSS, 2014)

Robust face recognition via transfer learning for robot partner. - Nuo Wi Noel Tay; János Botzheim; Chu Kiong Loo; Naoyuki Kubota (RiiSS, 2014)

Humanoid behaviour learning through visuomotor association by self-imitation. - Farhan Dawood; Chu Kiong Loo (SCIS&ISIS, 2014)

Improvement of the 2D SLAM system using Kinect sensor for indoor mapping. - Muhammad Fahmi Abdul Ghani; Khairul Salleh Mohamed Sahari; Chu Kiong Loo (SCIS&ISIS, 2014)

Curiosity-based topological reinforcement learning. - Muhammad Burhan Hafez; Chu Kiong Loo (SMC, 2014)

A hybrid FMM-CART model for human activity recognition. - Manjeevan Seera; Chu Kiong Loo; Chee Peng Lim (SMC, 2014)

Data Clustering Using a Modified Fuzzy Min-Max Neural Network. - Manjeevan Seera; Chee Peng Lim; Chu Kiong Loo; Lakhmi C. Jain (SOFA (1), 2014)

Perceiving Motion Cues Inspired by Microsoft Kinect Sensor on Game Experiencing. - Jiawei Xu 004; Shigang Yue; Ruisheng Wang 001; Chu Kiong Loo (CoRR, 2014)

Condition monitoring of induction motors: A review and an application of an ensemble of hybrid intelligent models. - Manjeevan Seera; Chee Peng Lim; Saeid Nahavandi; Chu Kiong Loo (Expert Syst. Appl., 2014)

Quantum-Inspired Bidirectional Associative Memory for Human-Robot Communication. - Naoki Masuyama; Chu Kiong Loo; Naoyuki Kubota (Int. J. Humanoid Robotics, 2014)

Mutual adaptation in neuro fuzzy system for human posture recognition. - Takenori Obo; Chu Kiong Loo; Naoyuki Kubota (ASCC, 2015)

Robot posture generation based on genetic algorithm for imitation. - Takenori Obo; Chu Kiong Loo; Naoyuki Kubota (CEC, 2015)

Facial Emotion Profiling Based on Emotion Specific Feature Model. - Md. Nazrul Islam; Chu Kiong Loo (ICONIP (4), 2015)

A Hybrid Model of Fuzzy ARTMAP and the Genetic Algorithm for Data Classification. - Manjeevan Seera; Wei Shiung Liew; Chu Kiong Loo (ICONIP (2), 2015)

Robot communication based on relational trust model. - Saika Ono; Takenori Obo; Chu Kiong Loo; Naoyuki Kubota (IECON, 2015)

Quantum-Inspired Complex-Valued Multidirectional Associative Memory. - Naoki Masuyama; Chu Kiong Loo (IJCNN, 2015)

Human behavior modeling for multimodal interaction with robot partner. - Takenori Obo; Chu Kiong Loo; Naoyuki Kubota (MHS, 2015)

Robotic emotional model with personality factors based on Pleasant-Arousal scaling model. - Naoki Masuyama; Chu Kiong Loo (RO-MAN, 2015)

Imitation learning for daily exercise support with robot partner. - Takenori Obo; Chu Kiong Loo; Naoyuki Kubota (RO-MAN, 2015)

Genetic Bayesian ARAM for Simultaneous Localization and Hybrid Map Building. - Wei Hong Chin; Chu Kiong Loo; Naoyuki Kubota; Yuichiro Toda (SSCI, 2015)

Behavior Pattern Extraction Based on Growing Neural Networks for Informationally Structured Space. - Takenori Obo; Habeebah A. Kakudi; Chu Kiong Loo; Naoyuki Kubota (SSCI, 2015)

Empathic Interaction Using the Computational Emotion Model. - Zeeshan Rasool; Naoki Masuyama; Md. Nazrul Islam; Chu Kiong Loo (SSCI, 2015)

Affect classification using genetic-optimized ensembles of fuzzy ARTMAPs. - Wei Shiung Liew; Manjeevan Seera; Chu Kiong Loo; Einly Lim (Appl. Soft Comput., 2015)

A modified fuzzy min-max neural network for data clustering and its application to power quality monitoring. - Manjeevan Seera; Chee Peng Lim; Chu Kiong Loo; Harapajan Singh (Appl. Soft Comput., 2015)

Bio-Inspired Human Action Recognition using Hybrid Max-Product Neuro-Fuzzy Classifier and Quantum-Behaved PSO. - Bardia Yousefi; Chu Kiong Loo (CoRR, 2015)

Classification of electrocardiogram and auscultatory blood pressure signals using machine learning models. - Manjeevan Seera; Chee Peng Lim; Wei Shiung Liew; Einly Lim; Chu Kiong Loo (Expert Syst. Appl., 2015)

Multi-objective genetic algorithm as channel selection method for P300 and motor imagery data set. - Chea-Yau Kee; S. G. Ponnambalam; Chu Kiong Loo (Neurocomputing, 2015)

Extensive assessment and evaluation methodologies on assistive social robots for modelling human-robot interaction - A review. - Doreen Ying Ying Sim; Chu Kiong Loo (Inf. Sci., 2015)

Topological Q-learning with internally guided exploration for mobile robot navigation. - Muhammad Burhan Hafez; Chu Kiong Loo (Neural Comput. Appl., 2015)

Probabilistic ensemble Fuzzy ARTMAP optimization using hierarchical parallel genetic algorithms. - Chu Kiong Loo; Wei Shiung Liew; Manjeevan Seera; Einly Lim (Neural Comput. Appl., 2015)

A hybrid FAM-CART model and its application to medical data classification. - Manjeevan Seera; Chee Peng Lim; Shing Chiang Tan; Chu Kiong Loo (Neural Comput. Appl., 2015)

Evaluating Trust in Multi-Agents System Through Temporal Difference Leaning. - Rishwaraj Gengarajoo; S. G. Ponnambalam; Chu Kiong Loo (ICIRA (1), 2016)

An Iterative Incremental Learning Algorithm for Complex-Valued Hopfield Associative Memory. - Naoki Masuyama; Chu Kiong Loo (ICONIP (4), 2016)

Genetic Optimized Fuzzy Extreme Learning Machine Ensembles for Affect Classification. - Wei Shiung Liew; Chu Kiong Loo; Takenori Obo (SCIS&ISIS, 2016)

Health Promotion Using Smart Device Interlocked Robot Partners for Elderly People. - Siqi Sun; Takenori Obo; Chu Kiong Loo; Naoyuki Kubota (SCIS&ISIS, 2016)

Multi-Channel Bayesian ART for robot fusion perception. - Wei Hong Chin; Chu Kiong Loo; Naoki Masuyama (SSCI, 2016)

Growing Neural Gas with Correntropy Induced Metric. - Naoki Masuyama; Chu Kiong Loo (SSCI, 2016)

Multi-channel Bayesian Adaptive Resonance Associate Memory for on-line topological map building. - Wei Hong Chin; Chu Kiong Loo; Manjeevan Seera; Naoyuki Kubota; Yuichiro Toda (Appl. Soft Comput., 2016)

Hybrid evolutionary neuro-fuzzy approach based on mutual adaptation for human gesture recognition. - Takenori Obo; Chu Kiong Loo; Manjeevan Seera; Naoyuki Kubota (Appl. Soft Comput., 2016)

An Odometry-Free Approach for Simultaneous Localization and Online Hybrid Map Building. - Wei Hong Chin; Chu Kiong Loo; Yuichiro Toda; Naoyuki Kubota (Frontiers Robotics AI, 2016)

Topological Gaussian ARTs with Short-Term and Long-Term Memory for Map Building and Fuzzy Motion Planning. - Wei Hong Chin; Chu Kiong Loo; Naoyuki Kubota (Int. J. Artif. Life Res., 2016)

Slow feature action prototypes effect assessment in mechanism for recognition of biological movement ventral stream. - Bardia Yousefi; Chu Kiong Loo (Int. J. Bio Inspired Comput., 2016)

Incremental episodic segmentation and imitative learning of humanoid robot through self-exploration. - Farhan Dawood; Chu Kiong Loo (Neurocomputing, 2016)

Motor fault detection and diagnosis using a hybrid FMM-CART model with online learning. - Manjeevan Seera; Chee Peng Lim; Chu Kiong Loo (J. Intell. Manuf., 2016)

Robot behaviour learning using Topological Gaussian Adaptive Resonance Hidden Markov Model. - Farhan Dawood; Chu Kiong Loo (Neural Comput. Appl., 2016)

Hierarchical Parallel Genetic Optimization Fuzzy ARTMAP Ensemble. - Wei Shiung Liew; Manjeevan Seera; Chu Kiong Loo (Neural Process. Lett., 2016)

Classification of Implantable Rotary Blood Pump States With Class Noise. - Hui-Lee Ooi; Manjeevan Seera; Siew-Cheok Ng; Chee Peng Lim; Chu Kiong Loo; Nigel H. Lovell; Stephen James Redmond; Einly Lim (IEEE J. Biomed. Health Informatics, 2016)

Classifying Stress From Heart Rate Variability Using Salivary Biomarkers as Reference. - Wei Shiung Liew; Manjeevan Seera; Chu Kiong Loo; Einly Lim; Naoyuki Kubota (IEEE Trans. Neural Networks Learn. Syst., 2016)

Power Quality Analysis Using a Hybrid Model of the Fuzzy Min-Max Neural Network and Clustering Tree. - Manjeevan Seera; Chee Peng Lim; Chu Kiong Loo; Harapajan Singh (IEEE Trans. Neural Networks Learn. Syst., 2016)

Can Eye Movement Improve Prediction Performance on Human Emotions Toward Images Classification? - Kitsuchart Pasupa; Wisuwat Sunhem; Chu Kiong Loo; Yoshimitsu Kuroki (ICONIP (4), 2017)

Optimizing FELM ensembles using GA-BIC. - Wei Shiung Liew; Chu Kiong Loo; Takenori Obo (IFSA-SCIS, 2017)

Predicting metabolic syndrome using risk quantification and ensemble methods. - Habeebah Adamu Kakudi; Chu Kiong Loo; Foong Ming Moy (SSCI, 2017)

Recurrent kernel online sequential extreme learning machine with kernel adaptive filter for time series prediction. - Zongying Liu; Chu Kiong Loo; Kitsuchart Pasupa (SSCI, 2017)

Risk Quantification of Metabolic Syndrome with Quantum Particle Swarm Optimisation. - Habeebah A. Kakudi; Chu Kiong Loo; Kitsuchart Pasupa (WWW (Companion Volume), 2017)

A robust incremental clustering-based facial feature tracking. - Md. Nazrul Islam; Manjeevan Seera; Chu Kiong Loo (Appl. Soft Comput., 2017)

Arm motion analysis using genetic algorithm for rehabilitation and healthcare. - Takenori Obo; Chu Kiong Loo; Manjeevan Seera; Takahiro Takeda; Naoyuki Kubota (Appl. Soft Comput., 2017)

Binary and multi-class motor imagery using Renyi entropy for feature extraction. - Chea-Yau Kee; S. G. Ponnambalam; Chu Kiong Loo (Neural Comput. Appl., 2017)

Application of emotion affected associative memory based on mood congruency effects for a humanoid. - Naoki Masuyama; Md. Nazrul Islam; Manjeevan Seera; Chu Kiong Loo (Neural Comput. Appl., 2017)

Online semi-supervised multi-channel time series classifier based on growing neural gas. - Parham Nooralishahi; Manjeevan Seera; Chu Kiong Loo (Neural Comput. Appl., 2017)

An efficient trust estimation model for multi-agent systems using temporal difference learning. - Rishwaraj Gengarajoo; S. G. Ponnambalam; Chu Kiong Loo (Neural Comput. Appl., 2017)

Incremental Clustering-Based Facial Feature Tracking Using Bayesian ART. - Md. Nazrul Islam; Chu Kiong Loo; Manjeevan Seera (Neural Process. Lett., 2017)

Heuristics-Based Trust Estimation in Multiagent Systems Using Temporal Difference Learning. - Rishwaraj Gengarajoo; S. G. Ponnambalam; Chu Kiong Loo (IEEE Trans. Cybern., 2017)

Handling Concept Drift in Time-Series Data: Meta-cognitive Recurrent Recursive-Kernel OS-ELM. - Zongying Liu; Chu Kiong Loo; Kitsuchart Pasupa (ICONIP (6), 2018)

An Episodic Memory Model with Slow Features Extraction for Topological Map Building. - Wei Hong Chin; Yuichiro Toda; Naoyuki Kubota; Jinseok Woo; Chu Kiong Loo (MHS, 2018)

Long Short-Term Memory in Recognizing Behavior Sequences on Humanoid Robot. - Tze How Dickson Neoh; Khairul Salleh Mohamed Sahari; Chu Kiong Loo (SCIS&ISIS, 2018)

Parameters Estimation in Topological Kernel Bayesian ART using Multi-objective Particle Swarm Optimization. - Gin Chong Lee; Chu Kiong Loo; Naoki Masuyama (SSCI, 2018)

Vision-based HRV Measurement for HRI Study. - Yuya Shibata; Keita Tsuji; Chu Kiong Loo; Guanghao Sun; Yoichi Yamazaki; Takuya Hashimoto (SSCI, 2018)

Topological Kernel Bayesian ARTMAP. - Naoki Masuyama; Chu Kiong Loo; Hisao Ishibuchi; Yusuke Nojima; Yiping Lin (WAC, 2018)

Recurrent Kernel Extreme Reservoir Machine for Time Series Prediction. - Zongying Liu; Chu Kiong Loo; Naoki Masuyama; Kitsuchart Pasupa (IEEE Access, 2018)

Credit Card Fraud Detection Using AdaBoost and Majority Voting. - Kuldeep Randhawa; Chu Kiong Loo; Manjeevan Seera; Chee Peng Lim; Asoke K. Nandi (IEEE Access, 2018)

Semi-supervised topo-Bayesian ARTMAP for noisy data. - Parham Nooralishahi; Chu Kiong Loo; Manjeevan Seera (Appl. Soft Comput., 2018)

A dual fast and slow feature interaction in biologically inspired visual recognition of human action. - Bardia Yousefi; Chu Kiong Loo (Appl. Soft Comput., 2018)

Developmental Approach for Behavior Learning Using Primitive Motion Skills. - Farhan Dawood; Chu Kiong Loo (Int. J. Neural Syst., 2018)

Personality affected robotic emotional model with associative memory for human-robot interaction. - Naoki Masuyama; Chu Kiong Loo; Manjeevan Seera (Neurocomputing, 2018)

Topological Gaussian ARAM for biologically inspired topological map building. - Wei Hong Chin; Chu Kiong Loo (Neural Comput. Appl., 2018)

Kernel Bayesian ART and ARTMAP. - Naoki Masuyama; Chu Kiong Loo; Farhan Dawood (Neural Networks, 2018)

Quantum-Inspired Multidirectional Associative Memory With a Self-Convergent Iterative Learning. - Naoki Masuyama; Chu Kiong Loo; Manjeevan Seera; Naoyuki Kubota (IEEE Trans. Neural Networks Learn. Syst., 2018)

Real-Time Financial Data Prediction Using Meta-cognitive Recurrent Kernel Online Sequential Extreme Learning Machine. - Zongying Liu; Chu Kiong Loo; Kitsuchart Pasupa (ICONIP (3), 2019)

Spatial Map Learning with Self-Organizing Adaptive Recurrent Incremental Network. - Wei Hong Chin; Naoyuki Kubota; Chu Kiong Loo; Zhaojie Ju; Honghai Liu 001 (IJCNN, 2019)

Effect of Pruning on Catastrophic Forgetting in Growing Dual Memory Networks. - Wei Shiung Liew; Chu Kiong Loo; Vadym Gryshchuk; Cornelius Weber; Stefan Wermter (IJCNN, 2019)

Grammatical Structure Detection with Intrinsic Plasticity based Echo State Networks for Cognitive Robot. - Zongying Liu; Chu Kiong Loo; Min Jiang 005 (SSCI, 2019)

Fast Topological Adaptive Resonance Theory Based on Correntropy Induced Metric. - Naoki Masuyama; Narito Amako; Yusuke Nojima; Yiping Liu; Chu Kiong Loo; Hisao Ishibuchi (SSCI, 2019)

Diagnosing Metabolic Syndrome Using Genetically Optimised Bayesian ARTMAP. - Habeebah Adamu Kakudi; Chu Kiong Loo; Foong Ming Moy; Naoki Masuyama; Kitsuchart Pasupa (IEEE Access, 2019)

Topological Clustering via Adaptive Resonance Theory With Information Theoretic Learning. - Naoki Masuyama; Chu Kiong Loo; Hisao Ishibuchi; Naoyuki Kubota; Yusuke Nojima; Yiping Liu (IEEE Access, 2019)

Meta-cognitive Recurrent Recursive Kernel OS-ELM for concept drift handling. - Zongying Liu; Chu Kiong Loo; Manjeevan Seera (Appl. Soft Comput., 2019)

Robust remote heart rate estimation from multiple asynchronous noisy channels using autoregressive model with Kalman filter. - Parham Nooralishahi; Chu Kiong Loo; Wei Shiung Liew (Biomed. Signal Process. Control., 2019)

A hybrid approach to building face shape classifier for hairstyle recommender system. - Kitsuchart Pasupa; Wisuwat Sunhem; Chu Kiong Loo (Expert Syst. Appl., 2019)

A Kernel Bayesian Adaptive Resonance Theory with A Topological Structure. - Naoki Masuyama; Chu Kiong Loo; Stefan Wermter (Int. J. Neural Syst., 2019)

Fractal dimension methods to determine optimum EEG electrode placement for concentration estimation. - Hossein Siamaknejad; Wei Shiung Liew; Chu Kiong Loo (Neural Comput. Appl., 2019)

Episodic Memory Multimodal Learning for Robot Sensorimotor Map Building and Navigation. - Wei Hong Chin; Yuichiro Toda; Naoyuki Kubota; Chu Kiong Loo; Manjeevan Seera (IEEE Trans. Cogn. Dev. Syst., 2019)

A Personalised Blood Pressure Prediction System using Gaussian Mixture Regression and Online Recurrent Extreme Learning Machine. - Sundus Abrar; Chu Kiong Loo; Naoyuki Kubota; Ghalib Ahmed Tahir (CcS, 2020)

Divisive Hierarchical Clustering Based on Adaptive Resonance Theory. - Yuna Yamada; Naoki Masuyama; Narito Amako; Yusuke Nojima; Chu Kiong Loo; Hisao Ishibuchi (CcS, 2020)

Self-Organizing Kernel-based Convolutional Echo State Network for Human Actions Recognition. - Gin Chong Lee; Chu Kiong Loo; Wei Shiung Liew; Stefan Wermter (ESANN, 2020)

How Contextual Data Influences User Experience with Scholarly Recommender Systems: An Empirical Framework. - Zohreh Dehghani Champiri; Brian Fisher 001; Chu Kiong Loo; Mahmoud Danaee (HCI (41), 2020)

Multilayer Clustering Based on Adaptive Resonance Theory for Noisy Environments. - Narito Amako; Naoki Masuyama; Chu Kiong Loo; Yusuke Nojima; Yiping Liu; Hisao Ishibuchi (IJCNN, 2020)

A Lightweight Neural-Net with Assistive Mobile Robot for Human Fall Detection System. - Wei Hong Chin; Nuo Wi Noel Tay; Naoyuki Kubota; Chu Kiong Loo (IJCNN, 2020)

Mitigating Catastrophic Forgetting In Adaptive Class Incremental Extreme Learning Machine Through Neuron Clustering. - Ghalib Ahmed Tahir; Chu Kiong Loo (SMC, 2020)

Multi-label Classification Based on Adaptive Resonance Theory. - Naoki Masuyama; Yusuke Nojima; Chu Kiong Loo; Hisao Ishibuchi (SSCI, 2020)

An Open-Ended Continual Learning for Food Recognition Using Class Incremental Extreme Learning Machines. - Ghalib Ahmed Tahir; Chu Kiong Loo (IEEE Access, 2020)

Explainable Goal-Driven Agents and Robots - A Comprehensive Review and New Framework. - Fatai Sado; Chu Kiong Loo; Matthias Kerzel; Stefan Wermter (CoRR, 2020)

Evaluation Of Issues, Usability And Functionality Of Dietary Related Mobile Applications: A Systematic Literature Review. - Ghalib Ahmed Tahir; Chu Kiong Loo; Foong Ming Moy; Nadine Kong (CoRR, 2020)

Meta-cognitive recurrent kernel online sequential extreme learning machine with kernel adaptive filter for concept drift handling. - Zongying Liu; Chu Kiong Loo; Kitsuchart Pasupa; Manjeevan Seera (Eng. Appl. Artif. Intell., 2020)

QRDPSO: A New Optimization Method for Swarm Robot Searching and Obstacle Avoidance in Dynamic Environments. - D. A. F. Mehiar; Z. H. Azizul; Chu Kiong Loo (Intell. Autom. Soft Comput., 2020)

Face image synthesis with weight and age progression using conditional adversarial autoencoder. - Muhammad Anwaar; Chu Kiong Loo; Manjeevan Seera (Neural Comput. Appl., 2020)

Superpixels Features Extractor Network (SP-FEN) for Clothing Parsing Enhancement. - A. Mustafa Ihsan; Chu Kiong Loo; Sinan A. Naji; Manjeevan Seera (Neural Process. Lett., 2020)

Lifelong Learning from Event-based Data. - Vadym Gryshchuk; Cornelius Weber; Chu Kiong Loo; Stefan Wermter (ESANN, 2021)

Grouped Echo State Network with Late Fusion for Speech Emotion Recognition. - Hemin Ibrahim; Chu Kiong Loo; Fady Alnajjar (ICONIP (3), 2021)

A Multi-Agent Approach for Personalized Hypertension Risk Prediction. - Sundus Abrar; Chu Kiong Loo; Naoyuki Kubota (IEEE Access, 2021)

Speech Emotion Recognition by Late Fusion for Bidirectional Reservoir Computing With Random Projection. - Hemin Ibrahim; Chu Kiong Loo; Fady Alnajjar (IEEE Access, 2021)

Autism Spectrum Self-Stimulatory Behaviors Classification Using Explainable Temporal Coherency Deep Features and SVM Classifier. - Shuaibing Liang; Aznul Qalid Md Sabri; Fady Alnajjar; Chu Kiong Loo (IEEE Access, 2021)

Emotion Recognition Using Explainable Genetically Optimized Fuzzy ART Ensembles. - Wei Shiung Liew; Chu Kiong Loo; Stefan Wermter (IEEE Access, 2021)

Explainable deep learning ensemble for food image analysis on edge devices. - Ghalib Ahmed Tahir; Chu Kiong Loo (Comput. Biol. Medicine, 2021)

A Review of the Vision-based Approaches for Dietary Assessment. - Ghalib Ahmed Tahir; Chu Kiong Loo (CoRR, 2021)

Personalized Robot Interventions for Autistic Children: An Automated Methodology for Attention Assessment. - Fady Alnajjar; Massimiliano Lorenzo Cappuccio; Abdulrahman Majed Renawi; Omar Mubin; Chu Kiong Loo (Int. J. Soc. Robotics, 2021)

An Interpretable Multi-target Regression Method for Hierarchical Load Forecasting. - Zipeng Wu; Chu Kiong Loo; Kitsuchart Pasupa; Licheng Xu (ICONIP (7), 2022)

A Robust Growing Memory Network for Lifelong Learning of Intelligent Agents. - Wei Hong Chin; Wen Bang Dou; Naoyuki Kubota; Chu Kiong Loo (IJCNN, 2022)

Revisiting Echo State Networks for Continuous Gesture Recognition. - Alok Yadav; Kitsuchart Pasupa; Chu Kiong Loo (SSCI, 2022)

Novel Multicolumn Kernel Extreme Learning Machine for Food Detection via Optimal Features from CNN. - Ghalib Ahmed Tahir; Tahir Chu; Chu Kiong Loo (CoRR, 2022)

Modeling Generalized Specialist Approach To Train Quality Resilient Snapshot Ensemble. - Ghalib Ahmed Tahir; Chu Kiong Loo; Zongying Liu (CoRR, 2022)

Negative Emotions Sensitive Humanoid Robot with Attention-Enhanced Facial Expression Recognition Network. - Rongrong Ni; Xiaofeng Liu 006; Yizhou Chen; Xu Zhou 002; Huili Cai; Chu Kiong Loo (Intell. Autom. Soft Comput., 2022)

Go ahead and do not forget: Modular lifelong learning from event-based data. - Vadym Gryshchuk; Cornelius Weber; Chu Kiong Loo; Stefan Wermter (Neurocomputing, 2022)

Grammatical structure detection by Instinct Plasticity based Echo State Networks with Genetic Algorithm. - Zongying Liu; Shaoxi Li; Mingyang Pan; Chu Kiong Loo (Neurocomputing, 2022)

Continual learning-based trajectory prediction with memory augmented networks. - Biao Yang; Fucheng Fan; Rongrong Ni; Jie Li 009; Chu Kiong Loo; Xiaofeng Liu 006 (Knowl. Based Syst., 2022)

Bidirectional parallel echo state network for speech emotion recognition. - Hemin Ibrahim; Chu Kiong Loo; Fady Alnajjar (Neural Comput. Appl., 2022)

On the Post Hoc Explainability of Optimized Self-Organizing Reservoir Network for Action Recognition. - Gin Chong Lee; Chu Kiong Loo (Sensors, 2022)

A Multi-Agent Approach for Personalized Hypertension Risk Prediction. - Sundus Abrar; Chu Kiong Loo (IEEE DataPort, 2022)

SEG-FOOD Semantic Food Segmentation Through Deep Learning. - Ghalib Ahmed Tahir; Chu Kiong Loo (IEEE DataPort, 2022)

Autonomous Learning of Fuzzy Recurrent Neural Networks for Human Activity Recognition. - Shuaibing Liang; Chu Kiong Loo; Aznul Qalid Md Sabri; Kok Wai Wong (ICMLC, 2023)

Real-Time Population Density Estimation in Dubai Through Deep Learning and Car Counting in Satellite Images. - Nazar Zaki; Harsh Singh; Chu Kiong Loo; Nadeen Zaki; Salama Alnuaimi (ICMLC, 2023)

Correlated Online k-Nearest Neighbors Regressor Chain for Online Multi-output Regression. - Zipeng Wu; Chu Kiong Loo; Kitsuchart Pasupa (ICONIP (3), 2023)

FedLoop: A P2P Personalized Federated Learning Method on Heterogeneous Data. - Li Fei; Chu Kiong Loo; Wei Shiung Liew; Xiaofeng Liu 006 (SSCI, 2023)

Review and Analysis of Patients' Body Language From an Artificial Intelligence Perspective. - Sherzod Turaev; Saja Al-Dabet; Aiswarya Babu; Zahiriddin Rustamov; Jaloliddin Rustamov; Nazar Zaki; Mohd Saberi Mohamad; Chu Kiong Loo (IEEE Access, 2023)

A Parameter-free Adaptive Resonance Theory-based Topological Clustering Algorithm Capable of Continual Learning. - Naoki Masuyama; Takanori Takebayashi; Yusuke Nojima; Chu Kiong Loo; Hisao Ishibuchi; Stefan Wermter (CoRR, 2023)

Explainable Lifelong Stream Learning Based on "Glocal" Pairwise Fusion. - Chu Kiong Loo; Wei Shiung Liew; Stefan Wermter (CoRR, 2023)

Explainable Goal-driven Agents and Robots - A Comprehensive Review. - Fatai Sado; Chu Kiong Loo; Wei Shiung Liew; Matthias Kerzel; Stefan Wermter (ACM Comput. Surv., 2023)

CowXNet: An automated cow estrus detection system. - Thanawat Lodkaew; Kitsuchart Pasupa; Chu Kiong Loo (Expert Syst. Appl., 2023)

Weighted error-output recurrent echo kernel state network for multi-step water level prediction. - Zongying Liu; Xiao Han Xu; Mingyang Pan; Chu Kiong Loo; Shaoxi Li (Appl. Soft Comput., 2023)

Multi-Label Classification via Adaptive Resonance Theory-Based Clustering. - Naoki Masuyama; Yusuke Nojima; Chu Kiong Loo; Hisao Ishibuchi (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

A masked graph neural network model for real-time gastric polyp detection in Healthcare 4.0. - Junjun Huang; Shier Nee Saw; Tianran He; Wei Feng; Chu Kiong Loo (J. Ind. Inf. Integr., 2023)

Utilizing Support Vector Machine to Help with Social Robot Therapy for Autism Spectrum Disorder. - Hemin Ibrahim; Abdulbasit K. Al-Talabani; Chu Kiong Loo (SSD, 2024)

Correcting Language Model Bias for Text Classification in True Zero-Shot Learning. - Feng Zhao 003; Wan Xianlin; Cheng Yan; Chu Kiong Loo (LREC/COLING, 2024)

An Energy Sampling Replay-Based Continual Learning Framework. - Xingzhong Zhang; Joon Huang Chuah; Chu Kiong Loo; Stefan Wermter (ICANN (2), 2024)

Highlight Detection in Podcasts: A Multimodal Deep Learning Approach. - Wongsapat Phuengpanyaloet; Nonpipat Boonruengkhao; Viktor Anchutin; Kitsuchart Pasupa; Chu Kiong Loo (ICONIP (9), 2024)

CiRA CORE: A Low Code Platform that Makes AI Work for Industry 4.0. - Chu Kiong Loo; Siridech Boonsang; Thanyathep Sasisaowapak; Santhad Chuwongin; Teerawat Tongloy; Saeid Nahavandi; Kok Wai Wong (SMC, 2024)

Satellite Image and Tree Canopy Height Analysis Using Machine Learning on Google Earth Engine with Carbon Stock Estimation. - Chu Kiong Loo; Huang Han Wang (SMC, 2024)

Privacy-Preserving Continual Federated Clustering via Adaptive Resonance Theory. - Naoki Masuyama; Yusuke Nojima; Yuichiro Toda; Chu Kiong Loo; Hisao Ishibuchi; Naoyuki Kubota (IEEE Access, 2024)

Data-Driven Analysis of Patients' Body Language in Healthcare: A Comprehensive Review. - Sherzod Turaev; Aiswarya Babu; Saja Al-Dabet; Jaloliddin Rustamov; Zahiriddin Rustamov; Nazar Zaki; Mohd Saberi Mohamad; Chu Kiong Loo (IEEE Access, 2024)

Weighted error-output recurrent Xavier echo state network for concept drift handling in water level prediction. - Zongying Liu; Wenru Zhang; Mingyang Pan; Chu Kiong Loo; Kitsuchart Pasupa (Appl. Soft Comput., 2024)

Loop Improvement: An Efficient Approach for Extracting Shared Features from Heterogeneous Data without Central Server. - Fei Li; Chu Kiong Loo; Wei Shiung Liew; Xiaofeng Liu 006 (CoRR, 2024)

Application of artificial intelligence in cognitive load analysis using functional near-infrared spectroscopy: A systematic review. - Mehshan Ahmed Khan; Houshyar Asadi; Li Zhang 013; Mohammad Reza Chalak Qazani; Sam Oladazimi; Chu Kiong Loo; Chee Peng Lim; Saeid Nahavandi (Expert Syst. Appl., 2024)

Learning-Based Stance Phase Detection and Multisensor Data Fusion for ZUPT-Aided Pedestrian Dead Reckoning System. - Jie Li 009; Xu Zhou 002; Sen Qiu; Yi Mao; Ziyang Wang; Chu Kiong Loo; Xiaofeng Liu 006 (IEEE Internet Things J., 2024)

A Survey of Wearable Lower Extremity Neurorehabilitation Exoskeleton: Sensing, Gait Dynamics, and Human-Robot Collaboration. - Jie Li 009; Xiao Gu 003; Sen Qiu; Xu Zhou 002; Angelo Cangelosi; Chu Kiong Loo; Xiaofeng Liu 006 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

DCNNLFS: A Dilated Convolutional Neural Network With Late Fusion Strategy for Intelligent Classification of Gastric Histopathology Images. - Junjun Huang; Shier Nee Saw; Tianran He; Ruohan Yang; Yesheng Qin; Yanlin Chen; Chu Kiong Loo (IEEE J. Biomed. Health Informatics, 2024)

Neuro-Mimetic Developmental Architecture for Continual Learning Through Self-Organizing Multimodal Perception Coordination. - Farhan Dawood; Naoki Masuyama; Chu Kiong Loo (IEEE Access, 2025)

Dual Passive-Aggressive Stacking k-Nearest Neighbors for Class-Incremental Multi-Label Stream Classification. - Hann Hsen Tan; Chu Kiong Loo; Chaw-Seng Woo (IEEE Access, 2025)

Smart Swimming Training: Wearable Body Sensor Networks Empower Technical Evaluation of Competitive Swimming. - Jie Li 009; Jiaxin Wang 003; Sen Qiu; Xiaofeng Liu 006; Jianqing Li 002; Wentao Xiang; Bin Liu 052; Songsheng Zhu; Chu Kiong Loo; Angelo Cangelosi; Giancarlo Fortino (IEEE Internet Things J., 2025)

A Reconstructed UNet Model With Hybrid Fuzzy Pooling for Gastric Cancer Segmentation in Tissue Pathology Images. - Junjun Huang; Shier Nee Saw; Yanlin Chen; Dongdong Hu; Xufeng Sun; Ning Chen; Chu Kiong Loo (IEEE Trans. Fuzzy Syst., 2025)

Research on Enhanced Gait Phase Segmentation Based on Multimodal Spatiotemporal Information Fusion. - Hao Zhang; Xiaofeng Liu 006; Jie Li 009; Jia Pan 001; Chu Kiong Loo; Angelo Cangelosi (IEEE Internet Things J., 2025)

Active continual learning with Energy Alignment Sampling Strategy (EASS) for structural damage classification. - Xingzhong Zhang; Chu Kiong Loo; Joon Huang Chuah (Appl. Intell., 2025)