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2020 – today
- 2024
- [j102]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: 16514-16548 (2024) - [j101]Naoki Masuyama, Yusuke Nojima, Yuichiro Toda, Chu Kiong Loo, Hisao Ishibuchi, Naoyuki Kubota:
Privacy-Preserving Continual Federated Clustering via Adaptive Resonance Theory. IEEE Access 12: 139692-139710 (2024) - [j100]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: 112055 (2024) - [j99]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: 123717 (2024) - [j98]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): 5899-5911 (2024) - [j97]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): 4534-4543 (2024) - [j96]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): 3675-3693 (2024) - [c113]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: 562-567 - [c112]Feng Zhao, Wan Xianlin, Cheng Yan, Chu Kiong Loo:
Correcting Language Model Bias for Text Classification in True Zero-Shot Learning. LREC/COLING 2024: 4036-4046 - [c111]Xingzhong Zhang, Joon Huang Chuah, Chu Kiong Loo, Stefan Wermter:
An Energy Sampling Replay-Based Continual Learning Framework. ICANN (2) 2024: 17-30 - [i13]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 abs/2403.14371 (2024) - 2023
- [j95]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: 62140-62173 (2023) - [j94]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: 110131 (2023) - [j93]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): 211:1-211:41 (2023) - [j92]Thanawat Lodkaew, Kitsuchart Pasupa, Chu Kiong Loo:
CowXNet: An automated cow estrus detection system. Expert Syst. Appl. 211: 118550 (2023) - [j91]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: 100467 (2023) - [j90]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): 8696-8712 (2023) - [c110]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: 139-146 - [c109]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: 236-241 - [c108]Zipeng Wu, Chu Kiong Loo, Kitsuchart Pasupa:
Correlated Online k-Nearest Neighbors Regressor Chain for Online Multi-output Regression. ICONIP (3) 2023: 28-39 - [c107]Li Fei, Chu Kiong Loo, Wei Shiung Liew, Xiaofeng Liu:
FedLoop: A P2P Personalized Federated Learning Method on Heterogeneous Data. SSCI 2023: 1603-1606 - [i12]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 abs/2305.01507 (2023) - [i11]Chu Kiong Loo, Wei Shiung Liew, Stefan Wermter:
Explainable Lifelong Stream Learning Based on "Glocal" Pairwise Fusion. CoRR abs/2306.13410 (2023) - [i10]Naoki Masuyama, Yusuke Nojima, Yuichiro Toda, Chu Kiong Loo, Hisao Ishibuchi, Naoyuki Kubota:
Privacy-preserving Continual Federated Clustering via Adaptive Resonance Theory. CoRR abs/2309.03487 (2023) - 2022
- [j89]Zongying Liu, Shaoxi Li, Mingyang Pan, Chu Kiong Loo:
Grammatical structure detection by Instinct Plasticity based Echo State Networks with Genetic Algorithm. Neurocomputing 467: 173-183 (2022) - [j88]Vadym Gryshchuk, Cornelius Weber, Chu Kiong Loo, Stefan Wermter:
Go ahead and do not forget: Modular lifelong learning from event-based data. Neurocomputing 500: 1063-1074 (2022) - [j87]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: 110022 (2022) - [j86]Hemin Ibrahim, Chu Kiong Loo, Fady Alnajjar:
Bidirectional parallel echo state network for speech emotion recognition. Neural Comput. Appl. 34(20): 17581-17599 (2022) - [j85]Gin Chong Lee, Chu Kiong Loo:
On the Post Hoc Explainability of Optimized Self-Organizing Reservoir Network for Action Recognition. Sensors 22(5): 1905 (2022) - [c106]Zipeng Wu, Chu Kiong Loo, Kitsuchart Pasupa, Licheng Xu:
An Interpretable Multi-target Regression Method for Hierarchical Load Forecasting. ICONIP (7) 2022: 3-12 - [c105]Wei Hong Chin, Wen Bang Dou, Naoyuki Kubota, Chu Kiong Loo:
A Robust Growing Memory Network for Lifelong Learning of Intelligent Agents. IJCNN 2022: 1-6 - [c104]Alok Yadav, Kitsuchart Pasupa, Chu Kiong Loo:
Revisiting Echo State Networks for Continuous Gesture Recognition. SSCI 2022: 978-983 - [d2]Sundus Abrar, Chu Kiong Loo:
A Multi-Agent Approach for Personalized Hypertension Risk Prediction. IEEE DataPort, 2022 - [d1]Ghalib Ahmed Tahir, Chu Kiong Loo:
SEG-FOOD Semantic Food Segmentation Through Deep Learning. IEEE DataPort, 2022 - [i9]Ghalib Ahmed Tahir, Tahir Chu, Chu Kiong Loo:
Novel Multicolumn Kernel Extreme Learning Machine for Food Detection via Optimal Features from CNN. CoRR abs/2205.07348 (2022) - [i8]Ghalib Ahmed Tahir, Chu Kiong Loo, Zongying Liu:
Modeling Generalized Specialist Approach To Train Quality Resilient Snapshot Ensemble. CoRR abs/2206.05853 (2022) - 2021
- [j84]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: 34264-34275 (2021) - [j83]Wei Shiung Liew, Chu Kiong Loo, Stefan Wermter:
Emotion Recognition Using Explainable Genetically Optimized Fuzzy ART Ensembles. IEEE Access 9: 61513-61531 (2021) - [j82]Sundus Abrar, Chu Kiong Loo, Naoyuki Kubota:
A Multi-Agent Approach for Personalized Hypertension Risk Prediction. IEEE Access 9: 75090-75106 (2021) - [j81]Hemin Ibrahim, Chu Kiong Loo, Fady Alnajjar:
Speech Emotion Recognition by Late Fusion for Bidirectional Reservoir Computing With Random Projection. IEEE Access 9: 122855-122871 (2021) - [j80]Ghalib Ahmed Tahir, Chu Kiong Loo:
Explainable deep learning ensemble for food image analysis on edge devices. Comput. Biol. Medicine 139: 104972 (2021) - [j79]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): 67-82 (2021) - [c103]Vadym Gryshchuk, Cornelius Weber, Chu Kiong Loo, Stefan Wermter:
Lifelong Learning from Event-based Data. ESANN 2021 - [c102]Hemin Ibrahim, Chu Kiong Loo, Fady Alnajjar:
Grouped Echo State Network with Late Fusion for Speech Emotion Recognition. ICONIP (3) 2021: 431-442 - [i7]Naoki Masuyama, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi:
Multi-label Classification via Adaptive Resonance Theory-based Clustering. CoRR abs/2103.01511 (2021) - [i6]Ghalib Ahmed Tahir, Chu Kiong Loo:
A Review of the Vision-based Approaches for Dietary Assessment. CoRR abs/2106.11776 (2021) - [i5]Vadym Gryshchuk, Cornelius Weber, Chu Kiong Loo, Stefan Wermter:
Lifelong Learning from Event-based Data. CoRR abs/2111.08458 (2021) - 2020
- [j78]Ghalib Ahmed Tahir, Chu Kiong Loo:
An Open-Ended Continual Learning for Food Recognition Using Class Incremental Extreme Learning Machines. IEEE Access 8: 82328-82346 (2020) - [j77]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) - [j76]Muhammad Anwaar, Chu Kiong Loo, Manjeevan Seera:
Face image synthesis with weight and age progression using conditional adversarial autoencoder. Neural Comput. Appl. 32(8): 3567-3579 (2020) - [j75]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): 2245-2263 (2020) - [c101]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: 1-7 - [c100]Yuna Yamada, Naoki Masuyama, Narito Amako, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi:
Divisive Hierarchical Clustering Based on Adaptive Resonance Theory. CcS 2020: 1-6 - [c99]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: 591-596 - [c98]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: 635-661 - [c97]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: 1-8 - [c96]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: 1-6 - [c95]Ghalib Ahmed Tahir, Chu Kiong Loo:
Mitigating Catastrophic Forgetting In Adaptive Class Incremental Extreme Learning Machine Through Neuron Clustering. SMC 2020: 3903-3910 - [c94]Naoki Masuyama, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi:
Multi-label Classification Based on Adaptive Resonance Theory. SSCI 2020: 1913-1920 - [i4]Fatai Sado, Chu Kiong Loo, Matthias Kerzel, Stefan Wermter:
Explainable Goal-Driven Agents and Robots - A Comprehensive Review and New Framework. CoRR abs/2004.09705 (2020) - [i3]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 abs/2008.09883 (2020)
2010 – 2019
- 2019
- [j74]Habeebah Adamu Kakudi, Chu Kiong Loo, Foong Ming Moy, Naoki Masuyama, Kitsuchart Pasupa:
Diagnosing Metabolic Syndrome Using Genetically Optimised Bayesian ARTMAP. IEEE Access 7: 8437-8453 (2019) - [j73]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: 76920-76936 (2019) - [j72]Zongying Liu, Chu Kiong Loo, Manjeevan Seera:
Meta-cognitive Recurrent Recursive Kernel OS-ELM for concept drift handling. Appl. Soft Comput. 75: 494-507 (2019) - [j71]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: 366-379 (2019) - [j70]Kitsuchart Pasupa, Wisuwat Sunhem, Chu Kiong Loo:
A hybrid approach to building face shape classifier for hairstyle recommender system. Expert Syst. Appl. 120: 14-32 (2019) - [j69]Naoki Masuyama, Chu Kiong Loo, Stefan Wermter:
A Kernel Bayesian Adaptive Resonance Theory with A Topological Structure. Int. J. Neural Syst. 29(5): 1850052:1-1850052:20 (2019) - [j68]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): 945-953 (2019) - [j67]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): 210-220 (2019) - [c93]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: 488-498 - [c92]Wei Hong Chin, Naoyuki Kubota, Chu Kiong Loo, Zhaojie Ju, Honghai Liu:
Spatial Map Learning with Self-Organizing Adaptive Recurrent Incremental Network. IJCNN 2019: 1-6 - [c91]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: 1-8 - [c90]Zongying Liu, Chu Kiong Loo, Min Jiang:
Grammatical Structure Detection with Intrinsic Plasticity based Echo State Networks for Cognitive Robot. SSCI 2019: 2207-2214 - [c89]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: 2215-2221 - 2018
- [j66]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: 14277-14284 (2018) - [j65]Zongying Liu, Chu Kiong Loo, Naoki Masuyama, Kitsuchart Pasupa:
Recurrent Kernel Extreme Reservoir Machine for Time Series Prediction. IEEE Access 6: 19583-19596 (2018) - [j64]Bardia Yousefi, Chu Kiong Loo:
A dual fast and slow feature interaction in biologically inspired visual recognition of human action. Appl. Soft Comput. 62: 57-72 (2018) - [j63]Parham Nooralishahi, Chu Kiong Loo, Manjeevan Seera:
Semi-supervised topo-Bayesian ARTMAP for noisy data. Appl. Soft Comput. 62: 134-147 (2018) - [j62]Farhan Dawood, Chu Kiong Loo:
Developmental Approach for Behavior Learning Using Primitive Motion Skills. Int. J. Neural Syst. 28(4): 1750038:1-1750038:20 (2018) - [j61]Naoki Masuyama, Chu Kiong Loo, Manjeevan Seera:
Personality affected robotic emotional model with associative memory for human-robot interaction. Neurocomputing 272: 213-225 (2018) - [j60]Wei Hong Chin, Chu Kiong Loo:
Topological Gaussian ARAM for biologically inspired topological map building. Neural Comput. Appl. 29(4): 1055-1072 (2018) - [j59]Naoki Masuyama, Chu Kiong Loo, Farhan Dawood:
Kernel Bayesian ART and ARTMAP. Neural Networks 98: 76-86 (2018) - [j58]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): 1058-1068 (2018) - [c88]Zongying Liu, Chu Kiong Loo, Kitsuchart Pasupa:
Handling Concept Drift in Time-Series Data: Meta-cognitive Recurrent Recursive-Kernel OS-ELM. ICONIP (6) 2018: 3-13 - [c87]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: 1-6 - [c86]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: 859-866 - [c85]Gin Chong Lee, Chu Kiong Loo, Naoki Masuyama:
Parameters Estimation in Topological Kernel Bayesian ART using Multi-objective Particle Swarm Optimization. SSCI 2018: 1595-1601 - [c84]Yuya Shibata, Keita Tsuji, Chu Kiong Loo, Guanghao Sun, Yoichi Yamazaki, Takuya Hashimoto:
Vision-based HRV Measurement for HRI Study. SSCI 2018: 1779-1784 - [c83]Naoki Masuyama, Chu Kiong Loo, Hisao Ishibuchi, Yusuke Nojima, Yiping Lin:
Topological Kernel Bayesian ARTMAP. WAC 2018: 1-5 - 2017
- [j57]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: 81-92 (2017) - [j56]Md. Nazrul Islam, Manjeevan Seera, Chu Kiong Loo:
A robust incremental clustering-based facial feature tracking. Appl. Soft Comput. 53: 34-44 (2017) - [j55]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): 737-752 (2017) - [j54]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): 2051-2062 (2017) - [j53]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): 3491-3505 (2017) - [j52]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): 461-474 (2017) - [j51]Md. Nazrul Islam, Chu Kiong Loo, Manjeevan Seera:
Incremental Clustering-Based Facial Feature Tracking Using Bayesian ART. Neural Process. Lett. 45(3): 887-911 (2017) - [j50]Rishwaraj Gengarajoo, S. G. Ponnambalam, Chu Kiong Loo:
Heuristics-Based Trust Estimation in Multiagent Systems Using Temporal Difference Learning. IEEE Trans. Cybern. 47(8): 1925-1935 (2017) - [c82]Kitsuchart Pasupa, Wisuwat Sunhem, Chu Kiong Loo, Yoshimitsu Kuroki:
Can Eye Movement Improve Prediction Performance on Human Emotions Toward Images Classification? ICONIP (4) 2017: 830-838 - [c81]Wei Shiung Liew, Chu Kiong Loo, Takenori Obo:
Optimizing FELM ensembles using GA-BIC. IFSA-SCIS 2017: 1-6 - [c80]Habeebah Adamu Kakudi, Chu Kiong Loo, Foong Ming Moy:
Predicting metabolic syndrome using risk quantification and ensemble methods. SSCI 2017: 1-8 - [c79]Zongying Liu, Chu Kiong Loo, Kitsuchart Pasupa:
Recurrent kernel online sequential extreme learning machine with kernel adaptive filter for time series prediction. SSCI 2017: 1-7 - [c78]Habeebah A. Kakudi, Chu Kiong Loo, Kitsuchart Pasupa:
Risk Quantification of Metabolic Syndrome with Quantum Particle Swarm Optimisation. WWW (Companion Volume) 2017: 1141-1147 - 2016
- [j49]Wei Hong Chin, Chu Kiong Loo, Manjeevan Seera, Naoyuki Kubota, Yuichiro Toda:
Multi-channel Bayesian Adaptive Resonance Associate Memory for on-line topological map building. Appl. Soft Comput. 38: 269-280 (2016) - [j48]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: 377-389 (2016) - [j47]Wei Hong Chin, Chu Kiong Loo, Yuichiro Toda, Naoyuki Kubota:
An Odometry-Free Approach for Simultaneous Localization and Online Hybrid Map Building. Frontiers Robotics AI 3: 68 (2016) - [j46]Wei Hong Chin, Chu Kiong Loo, Naoyuki Kubota:
Topological Gaussian ARTs with Short-Term and Long-Term Memory for Map Building and Fuzzy Motion Planning. Int. J. Artif. Life Res. 6(2): 63-87 (2016) - [j45]Bardia Yousefi, Chu Kiong Loo:
Slow feature action prototypes effect assessment in mechanism for recognition of biological movement ventral stream. Int. J. Bio Inspired Comput. 8(6): 410-424 (2016) - [j44]Farhan Dawood, Chu Kiong Loo:
Incremental episodic segmentation and imitative learning of humanoid robot through self-exploration. Neurocomputing 173: 1471-1484 (2016) - [j43]Manjeevan Seera, Chee Peng Lim, Chu Kiong Loo:
Motor fault detection and diagnosis using a hybrid FMM-CART model with online learning. J. Intell. Manuf. 27(6): 1273-1285 (2016) - [j42]Farhan Dawood, Chu Kiong Loo:
Robot behaviour learning using Topological Gaussian Adaptive Resonance Hidden Markov Model. Neural Comput. Appl. 27(8): 2509-2522 (2016) - [j41]Wei Shiung Liew, Manjeevan Seera, Chu Kiong Loo:
Hierarchical Parallel Genetic Optimization Fuzzy ARTMAP Ensemble. Neural Process. Lett. 44(2): 451-470 (2016) - [j40]Hui-Lee Ooi, Manjeevan Seera, Siew-Cheok Ng, Chee Peng Lim, Chu Kiong Loo, Nigel H. Lovell, Stephen James Redmond, Einly Lim:
Classification of Implantable Rotary Blood Pump States With Class Noise. IEEE J. Biomed. Health Informatics 20(3): 829-837 (2016) - [j39]Wei Shiung Liew, Manjeevan Seera, Chu Kiong Loo, Einly Lim, Naoyuki Kubota:
Classifying Stress From Heart Rate Variability Using Salivary Biomarkers as Reference. IEEE Trans. Neural Networks Learn. Syst. 27(10): 2035-2046 (2016) - [j38]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): 2760-2767 (2016) - [c77]Rishwaraj Gengarajoo, S. G. Ponnambalam, Chu Kiong Loo:
Evaluating Trust in Multi-Agents System Through Temporal Difference Leaning. ICIRA (1) 2016: 513-524 - [c76]Naoki Masuyama, Chu Kiong Loo:
An Iterative Incremental Learning Algorithm for Complex-Valued Hopfield Associative Memory. ICONIP (4) 2016: 423-431 - [c75]Wei Shiung Liew, Chu Kiong Loo, Takenori Obo:
Genetic Optimized Fuzzy Extreme Learning Machine Ensembles for Affect Classification. SCIS&ISIS 2016: 305-310 - [c74]Siqi Sun, Takenori Obo, Chu Kiong Loo, Naoyuki Kubota:
Health Promotion Using Smart Device Interlocked Robot Partners for Elderly People. SCIS&ISIS 2016: 317-322 - [c73]Wei Hong Chin, Chu Kiong Loo, Naoki Masuyama:
Multi-Channel Bayesian ART for robot fusion perception. SSCI 2016: 1-5 - [c72]Naoki Masuyama, Chu Kiong Loo:
Growing Neural Gas with Correntropy Induced Metric. SSCI 2016: 1-7 - 2015
- [j37]Wei Shiung Liew, Manjeevan Seera, Chu Kiong Loo, Einly Lim:
Affect classification using genetic-optimized ensembles of fuzzy ARTMAPs. Appl. Soft Comput. 27: 53-63 (2015) - [j36]Manjeevan Seera, Chee Peng Lim, Chu Kiong Loo, Harapajan Singh:
A modified fuzzy min-max neural network for data clustering and its application to power quality monitoring. Appl. Soft Comput. 28: 19-29 (2015) - [j35]Manjeevan Seera, Chee Peng Lim, Wei Shiung Liew, Einly Lim, Chu Kiong Loo:
Classification of electrocardiogram and auscultatory blood pressure signals using machine learning models. Expert Syst. Appl. 42(7): 3643-3652 (2015) - [j34]Chea-Yau Kee, S. G. Ponnambalam, Chu Kiong Loo:
Multi-objective genetic algorithm as channel selection method for P300 and motor imagery data set. Neurocomputing 161: 120-131 (2015) - [j33]Doreen Ying Ying Sim, Chu Kiong Loo:
Extensive assessment and evaluation methodologies on assistive social robots for modelling human-robot interaction - A review. Inf. Sci. 301: 305-344 (2015) - [j32]Chu Kiong Loo, Wei Shiung Liew, Manjeevan Seera, Einly Lim:
Probabilistic ensemble Fuzzy ARTMAP optimization using hierarchical parallel genetic algorithms. Neural Comput. Appl. 26(2): 263-276 (2015) - [j31]Manjeevan Seera, Chee Peng Lim, Shing Chiang Tan, Chu Kiong Loo:
A hybrid FAM-CART model and its application to medical data classification. Neural Comput. Appl. 26(8): 1799-1811 (2015) - [j30]Muhammad Burhan Hafez, Chu Kiong Loo:
Topological Q-learning with internally guided exploration for mobile robot navigation. Neural Comput. Appl. 26(8): 1939-1954 (2015) - [c71]Takenori Obo, Chu Kiong Loo, Naoyuki Kubota:
Mutual adaptation in neuro fuzzy system for human posture recognition. ASCC 2015: 1-6 - [c70]Takenori Obo, Chu Kiong Loo, Naoyuki Kubota:
Robot posture generation based on genetic algorithm for imitation. CEC 2015: 552-557 - [c69]Manjeevan Seera, Wei Shiung Liew, Chu Kiong Loo:
A Hybrid Model of Fuzzy ARTMAP and the Genetic Algorithm for Data Classification. ICONIP (2) 2015: 346-353 - [c68]Md. Nazrul Islam, Chu Kiong Loo:
Facial Emotion Profiling Based on Emotion Specific Feature Model. ICONIP (4) 2015: 556-565 - [c67]Saika Ono, Takenori Obo, Chu Kiong Loo, Naoyuki Kubota:
Robot communication based on relational trust model. IECON 2015: 5335-5338 - [c66]Naoki Masuyama, Chu Kiong Loo:
Quantum-Inspired Complex-Valued Multidirectional Associative Memory. IJCNN 2015: 1-8 - [c65]Takenori Obo, Chu Kiong Loo, Naoyuki Kubota:
Human behavior modeling for multimodal interaction with robot partner. MHS 2015: 1-7 - [c64]Naoki Masuyama, Chu Kiong Loo:
Robotic emotional model with personality factors based on Pleasant-Arousal scaling model. RO-MAN 2015: 19-24 - [c63]Takenori Obo, Chu Kiong Loo, Naoyuki Kubota:
Imitation learning for daily exercise support with robot partner. RO-MAN 2015: 752-757 - [c62]Zeeshan Rasool, Naoki Masuyama, Md. Nazrul Islam, Chu Kiong Loo:
Empathic Interaction Using the Computational Emotion Model. SSCI 2015: 109-116 - [c61]Takenori Obo, Habeebah A. Kakudi, Chu Kiong Loo, Naoyuki Kubota:
Behavior Pattern Extraction Based on Growing Neural Networks for Informationally Structured Space. SSCI 2015: 138-144 - [c60]Wei Hong Chin, Chu Kiong Loo, Naoyuki Kubota, Yuichiro Toda:
Genetic Bayesian ARAM for Simultaneous Localization and Hybrid Map Building. SSCI 2015: 275-279 - [i2]Bardia Yousefi, Chu Kiong Loo:
Bio-Inspired Human Action Recognition using Hybrid Max-Product Neuro-Fuzzy Classifier and Quantum-Behaved PSO. CoRR abs/1509.03789 (2015) - 2014
- [j29]Manjeevan Seera, Chee Peng Lim, Saeid Nahavandi, Chu Kiong Loo:
Condition monitoring of induction motors: A review and an application of an ensemble of hybrid intelligent models. Expert Syst. Appl. 41(10): 4891-4903 (2014) - [j28]Naoki Masuyama, Chu Kiong Loo, Naoyuki Kubota:
Quantum-Inspired Bidirectional Associative Memory for Human-Robot Communication. Int. J. Humanoid Robotics 11(2) (2014) - [c59]Saravadee Sae Tan, Lay-Ki Soon, Tek Yong Lim, Enya Kong Tang, Chu Kiong Loo:
Learning the Mapping Rules for Sentiment Analysis. Web-KRM@CIKM 2014: 19-22 - [c58]Naoki Masuyama, Chu Kiong Loo:
Quantum-inspired multidirectional associative memory for human-robot interaction system. FUZZ-IEEE 2014: 1757-1764 - [c57]Davood Kalhor, Chu Kiong Loo:
Artificial Curiosity Driven Robots with Spatiotemporal Regularity Discovery Ability. ICIC (2) 2014: 87-98 - [c56]Manjeevan Seera, Chee Peng Lim, Chu Kiong Loo:
Transfer Learning Using the Online FMM Model. ICONIP (1) 2014: 151-158 - [c55]Md. Nazrul Islam, Chu Kiong Loo:
Geometric Feature-Based Facial Emotion Recognition Using Two-Stage Fuzzy Reasoning Model. ICONIP (2) 2014: 344-351 - [c54]Manjeevan Seera, Chee Peng Lim, Chu Kiong Loo:
Condition Monitoring of Broken Rotor Bars Using a Hybrid FMM-GA Model. ICONIP (3) 2014: 381-389 - [c53]Wei Hong Chin, Chu Kiong Loo:
Topological Gaussian Adaptive Resonance Associative Memory with Fuzzy Motion Planning for Place Navigation. ICONIP (3) 2014: 604-611 - [c52]Goh Fan Ling, Pang Ying Han, Liew Yee Ping, Shih Yin Ooi, Chu Kiong Loo:
Wavelet Based SDA for Face Recognition. ICONIP (3) 2014: 628-635 - [c51]Ghazaleh Taherzadeh, Chu Kiong Loo:
Comparison of Applying Centroidal Voronoi Tessellations and Levenberg-Marquardt on Hybrid SP-QPSO Algorithm for High Dimensional Problems. ICSI (1) 2014: 332-341 - [c50]Cherukuri Aswani Kumar, M. S. Ishwarya, Chu Kiong Loo:
Modeling Associative Memories Using Formal Concept Analysis. INNS-CIIS 2014: 109-118 - [c49]Parham Nooralishahi, Chu Kiong Loo:
3D Object Detection for Reconstructed Scene Using Multi-layer Growing Neural Gas. INNS-CIIS 2014: 211-219 - [c48]Nuo Wi Noel Tay, János Botzheim, Chu Kiong Loo, Naoyuki Kubota:
Robust face recognition via transfer learning for robot partner. RiiSS 2014: 8-15 - [c47]Farhan Dawood, Chu Kiong Loo:
Autonomous motion primitive segmentation of actions for incremental imitative learning of humanoid. RiiSS 2014: 47-54 - [c46]Naoki Masuyama, Md. Nazrul Islam, Chu Kiong Loo:
Affective communication robot partners using associative memory with mood congruency effects. RiiSS 2014: 104-111 - [c45]Muhammad Fahmi Abdul Ghani, Khairul Salleh Mohamed Sahari, Chu Kiong Loo:
Improvement of the 2D SLAM system using Kinect sensor for indoor mapping. SCIS&ISIS 2014: 776-781 - [c44]Farhan Dawood, Chu Kiong Loo:
Humanoid behaviour learning through visuomotor association by self-imitation. SCIS&ISIS 2014: 922-929 - [c43]Hossein Siamaknejad, Chu Kiong Loo, Wei Shiung Liew:
Fractal dimension methods to determine optimum EEG electrode placement for concentration estimation. SCIS&ISIS 2014: 952-955 - [c42]Manjeevan Seera, Chu Kiong Loo, Chee Peng Lim:
A hybrid FMM-CART model for human activity recognition. SMC 2014: 182-187 - [c41]Muhammad Burhan Hafez, Chu Kiong Loo:
Curiosity-based topological reinforcement learning. SMC 2014: 1979-1984 - [c40]Manjeevan Seera, Chee Peng Lim, Chu Kiong Loo, Lakhmi C. Jain:
Data Clustering Using a Modified Fuzzy Min-Max Neural Network. SOFA (1) 2014: 413-422 - [e3]Chu Kiong Loo, Keem Siah Yap, Kok Wai Wong, Andrew Teoh Beng Jin, Kaizhu Huang:
Neural Information Processing - 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part I. Lecture Notes in Computer Science 8834, Springer 2014, ISBN 978-3-319-12636-4 [contents] - [e2]Chu Kiong Loo, Keem Siah Yap, Kok Wai Wong, Andrew Teoh Beng Jin, Kaizhu Huang:
Neural Information Processing - 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part II. Lecture Notes in Computer Science 8835, Springer 2014, ISBN 978-3-319-12639-5 [contents] - [e1]Chu Kiong Loo, Keem Siah Yap, Kok Wai Wong, Andrew Teoh Beng Jin, Kaizhu Huang:
Neural Information Processing - 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part III. Lecture Notes in Computer Science 8836, Springer 2014, ISBN 978-3-319-12642-5 [contents] - [i1]Jiawei Xu, Shigang Yue, Ruisheng Wang, Chu Kiong Loo:
Perceiving Motion Cues Inspired by Microsoft Kinect Sensor on Game Experiencing. CoRR abs/1405.4989 (2014) - 2013
- [j27]Wai Kit Wong, Gin Chong Lee, Chu Kiong Loo, Raymond Lock:
Quaternion Based Fuzzy Neural Network Classifier for MPIK Dataset's View-invariant Color Face Image Recognition. Informatica (Slovenia) 37(2): 181-192 (2013) - [j26]Ali Memariani, Chu Kiong Loo:
Biologically Inspired Dictionary Learning for Visual Pattern Recognition. Informatica (Slovenia) 37(4) (2013) - [c39]Ghazaleh Taherzadeh, Chu Kiong Loo:
Image Classification Using Optimized Synergetic Neural Network. FIRA 2013: 170-180 - [c38]Sau Cheong Loh, Chu Kiong Loo, Hock Chuan Loh, Yoke Kit Lim:
Transformative Robotic Education for the Realization of Malaysia National Philosophy of Education. FIRA 2013: 416-426 - [c37]Chu Kiong Loo, Ali Memariani, Wei Shiung Liew:
A Novel Complex-Valued Fuzzy ARTMAP for Sparse Dictionary Learning. ICONIP (1) 2013: 360-368 - [c36]Farhan Dawood, Chu Kiong Loo, Wei Hong Chin:
Incremental on-line learning of human motion using Gaussian adaptive resonance hidden Markov model. IJCNN 2013: 1-7 - [c35]Chu Kiong Loo, Wei Shiung Liew, Einly Lim:
Optimizing Fuzzy ARTMAP Ensembles Using Hierarchical Parallel Genetic Algorithms and Negative Correlation. ISNN (1) 2013: 401-410 - [c34]Bardia Yousefi, Chu Kiong Loo, Ali Memariani:
Biological inspired human action recognition. RiiSS 2013: 58-65 - [c33]Naoki Masuyama, Chu Kiong Loo, Naoyuki Kubota:
Human-Robot Interaction System with Quantum-Inspired Bidirectional Associative Memory. RVSP 2013: 66-71 - [c32]Wei Hong Chin, Chu Kiong Loo:
Biologically Inspired Topological Gaussian ARAM for Robot Navigation. RVSP 2013: 265-269 - 2012
- [j25]Gin Chong Lee, Chu Kiong Loo, Letchumanan Chockalingam:
An integrated approach for head gesture based interface. Appl. Soft Comput. 12(3): 1101-1114 (2012) - [j24]Nuo Wi Noel Tay, Chu Kiong Loo, Letchumanan Chockalingam:
Biologically Inspired Face Recognition: toward Pose-Invariance. Int. J. Neural Syst. 22(6) (2012) - [c31]Chu Kiong Loo, Ali Memariani:
Object Recognition Using Sparse Representation of Overcomplete Dictionary. ICONIP (4) 2012: 75-82 - [c30]Chu Kiong Loo, Wei Shiung Liew, Md Shohel Sayeed:
Genetic Ensemble Biased ARTMAP Method of ECG-Based Emotion Classification. IIMSS 2012: 299-306 - [c29]Bardia Yousefi, Chu Kiong Loo:
Development of Fast Incremental Slow Feature Analysis (F-IncSFA). IJCNN 2012: 1-6 - [c28]Wei Hong Chin, Chu Kiong Loo:
Topological Gaussian ARAM for Simultaneous Localization and Mapping (SLAM). MHS 2012: 132-137 - [c27]Chu Kiong Loo, Soon-Fatt Cheong, Margaret A. Seldon, Ali Afzalian Mand, Kalaiarasi Sonai Muthu, Wei Shiung Liew, Einly Lim:
Genetic-Optimized Classifier Ensemble for Cortisol Salivary Measurement Mapping to Electrocardiogram Features for Stress Evaluation. PRICAI 2012: 274-284 - 2011
- [j23]Kian-Ming Lim, Chu Kiong Loo, Lim Way Soong:
Autonomous and deterministic supervised fuzzy clustering with data imputation capabilities. Appl. Soft Comput. 11(1): 1117-1125 (2011) - [c26]Germano Resconi, Chu Kiong Loo:
Morphic Computing Inspired Hopfield Model for Sensorimotor Transformation (Vestibule-Ocular System). IBICA 2011: 224-228 - [c25]Wai Kit Wong, Joe How Hui, Chu Kiong Loo, Way-Soong Lim:
Off-time swimming pool surveillance using thermal imaging system. ICSIPA 2011: 366-371 - [c24]Wai Kit Wong, Wee ShenPua, Chu Kiong Loo, Way-Soong Lim:
A study of different unwarping methods for omnidirectional imaging. ICSIPA 2011: 433-438 - [c23]Umut Güçlü, Yagmur Güçlütürk, Chu Kiong Loo:
Evaluation of fractal dimension estimation methods for feature extraction in motor imagery based brain computer interface. WCIT 2011: 589-594 - 2010
- [j22]Samraj Andrews, Chu Kiong Loo:
Meditainment and innotainment for improving health and intellect. Comput. Entertain. 8(4): 24:1-24:3 (2010) - [j21]Nuo Wi Noel Tay, Chu Kiong Loo, Mitja Perus:
Face Recognition with Quantum Associative Networks Using Overcomplete Gabor Wavelet. Cogn. Comput. 2(4): 297-302 (2010) - [j20]Wai Kit Wong, Chee Wee Choo, Chu Kiong Loo, Joo Peng Teh:
FPGA implementation of log-polar mapping. Int. J. Comput. Appl. Technol. 39(1/2/3): 12-18 (2010) - [j19]Nuo Wi Noel Tay, Chu Kiong Loo, Mitja Perus:
Application of Gabor Wavelet in Quantum Holography for Image Recognition. Int. J. Nanotechnol. Mol. Comput. 2(1): 44-61 (2010) - [j18]Wai Kit Wong, Chu Kiong Loo, Way-Soong Lim, Poi Ngee Tan:
Thermal condition monitoring system using log-polar mapping, quaternion correlation and max-product fuzzy neural network classification. Neurocomputing 74(1-3): 164-177 (2010) - [j17]Andrews Samraj, Md Shohel Sayeed, Chu Kiong Loo, Nikos E. Mastorokis:
Eliminating Forgers Based on Intra Trial Variability in Online Signature Verification Using Handglove and Photometric Signals. J. Information Security 1(1): 23-28 (2010) - [c22]Germano Resconi, Chu Kiong Loo, Nuo Wi Noel Tay:
Quantum Morphogenetic System in View-Invariant recognition. IJCNN 2010: 1-7 - [c21]Ali Afzalian Mand, Chu Kiong Loo, Wei Shiung Liew:
Combinatory Feature Selection Method on ECG and HRV Signal Analysis for Stress Level Detection Using ANFIS Classifier. Intelligent Environments (Workshops) 2010: 122-130 - [c20]Wee Ming Wong, Alan W. C. Tan, Chu Kiong Loo, Wei Shiung Liew:
PSO optimization of synergetic neural classifier for multichannel emotion recognition. NaBIC 2010: 316-321 - [c19]Gin Chong Lee, Chu Kiong Loo:
Facial pose estimation using modified synergetic computer. NaBIC 2010: 322-327
2000 – 2009
- 2009
- [j16]Gajula Ramana Murthy, M. Senthil Arumugam, Chu Kiong Loo:
Hybrid particle swarm optimization algorithm with fine tuning operators. Int. J. Bio Inspired Comput. 1(1/2): 14-31 (2009) - [j15]M. Senthil Arumugam, Gajula Ramana Murthy, Chu Kiong Loo:
On the optimal control of the steel annealing processes as a two-stage hybrid systems via PSO algorithms. Int. J. Bio Inspired Comput. 1(3): 198-209 (2009) - [j14]Roy Kwang Yang Chang, Chu Kiong Loo, M. V. C. Rao:
Enhanced probabilistic neural network with data imputation capabilities for machine-fault classification. Neural Comput. Appl. 18(7): 791-800 (2009) - [c18]Wai Kit Wong, Joanne Tze Yen Liew, Chu Kiong Loo, Wei Kin Wong:
Omnidirectional Surveillance System for Digital Home Security. ICSAP 2009: 8-12 - [c17]Wai Kit Wong, Poi Ngee Tan, Chu Kiong Loo, Way-Soong Lim:
An Effective Surveillance System Using Thermal Camera. ICSAP 2009: 13-17 - [c16]Vickneswaran Jeyabalan, Samraj Andrews, Chu Kiong Loo:
Classification of Motor Imaginary Signals for Machine Commmunication - A Novel Approach for Brain Machine Interface Design. ICSAP 2009: 34-38 - [c15]Germano Resconi, Chu Kiong Loo, Nuo Wi Noel Tay:
Quantum Morphogenetic System in image recognition. IJCNN 2009: 2642-2648 - [c14]Wai Kit Wong, Chu Kiong Loo, Way-Soong Lim, Poi Ngee Tan:
Quaternion Based Thermal Condition Monitoring System. IWNC 2009: 352-362 - [c13]Shen-Yee Pang, Chu Kiong Loo, Way-Soong Lim:
Adaptive Case Based Reasoning for Fault Diagnosis. SoCPaR 2009: 678-681 - [c12]Gin Chong Lee, Chu Kiong Loo, Letchumanan Chockalingam:
Two-Factor Face Authentication: Topographic Independent Component Analysis (TICA) and Multispace Random Projection (MRP). SoCPaR 2009: 756-761 - 2008
- [j13]Roy Kwang Yang Chang, Chu Kiong Loo, M. V. C. Rao:
A Global k-means Approach for Autonomous Cluster Initialization of Probabilistic Neural Network. Informatica (Slovenia) 32(2): 219-225 (2008) - [c11]Chu Kiong Loo, Joo Peng Teh:
Quantum Bio-inspired Vision Model on System-on-a-Chip (SoC). ICES 2008: 408-413 - [c10]Wei Kin Wong, Tze Ming Neoh, Chu Kiong Loo, Chuan Poh Ong:
Bayesian Fusion of Auditory and Visual Spatial Cues during Fixation and Saccade in Humanoid Robot. ICONIP (1) 2008: 1103-1109 - [c9]Chu Kiong Loo, Joo Peng Teh:
Quantum Bio-inspired Invariant Object Recognition Model on System-on-a-Chip (SoC). RAM 2008: 433-438 - [c8]Vickneswaran Jeyabalan, Samraj Andrews, Chu Kiong Loo:
Classification of Motor Imaginary Tasks using Adaptive Recursive Bandpass Filter - Effective Classification for Motor Imaginary BCI. SIGMAP 2008: 113-118 - 2006
- [j12]Chu Kiong Loo, Mandava Rajeswari, Machavaram Venkata Chalapathy Rao:
Robust incremental growing multi-experts network. Appl. Soft Comput. 6(2): 139-153 (2006) - [j11]Chu Kiong Loo, Augustine Law, Way-Soong Lim, M. V. C. Rao:
Probabilistic ensemble simplified fuzzy ARTMAP for sonar target differentiation. Neural Comput. Appl. 15(1): 79-90 (2006) - [c7]Chen Li Poh, Chu Kiong Loo, M. V. C. Rao:
Autonomous and Deterministic Clustering for Evidence-Theoretic Classifier. ICONIP (2) 2006: 70-79 - [c6]Roy Kwang Yang Chang, Chu Kiong Loo, Machavaram Venkata Chalapathy Rao:
Autonomous and Deterministic Probabilistic Neural Network Using Global k-Means. ISNN (1) 2006: 830-836 - 2005
- [j10]L. C. Kwek, C. C. Kang, Chu Kiong Loo, E. K. Wong:
Implementation of Evolutionary Active Force Control in a 5-Link Biped Robot. Intell. Autom. Soft Comput. 11(3): 167-178 (2005) - [j9]Chu Kiong Loo, M. V. C. Rao:
Accurate and Reliable Diagnosis and Classification Using Probabilistic Ensemble Simplified Fuzzy ARTMAP. IEEE Trans. Knowl. Data Eng. 17(11): 1589-1593 (2005) - [c5]N. K. Looi, Chu Kiong Loo, Kiu Nai Pau:
Real time actions and gestures as intuitive user interface for creative 3D modeling. AMT 2005: 487-490 - 2004
- [j8]Chu Kiong Loo, Mandava Rajeswari, E. K. Wong, M. V. C. Rao:
Mobile Robot Path Planning Using Hybrid Genetic Algorithm and Traversability Vectors Method. Intell. Autom. Soft Comput. 10(1): 51-63 (2004) - [j7]Chu Kiong Loo, Mandava Rajeswari, M. V. C. Rao:
A Hybrid Intelligent Active Force Controller for Articulated Robot Arms Using Dynamic Structure Neural Network. J. Intell. Robotic Syst. 40(2): 113-145 (2004) - [j6]Chu Kiong Loo, Mitja Perus, Horst Bischof:
Associative Memory Based Image and Object Recognition by Quantum Holography. Open Syst. Inf. Dyn. 11(3): 277-290 (2004) - [j5]Chu Kiong Loo, Mandava Rajeswari, Machavaram Venkata Chalapathy Rao:
Novel direct and self-regulating approaches to determine optimum growing multi-experts network structure. IEEE Trans. Neural Networks 15(6): 1378-1395 (2004) - [c4]Chu Kiong Loo, Way-Soong Lim, M. V. C. Rao:
Classifiers for Sonar Target Differentiation. KES 2004: 305-311 - 2003
- [j4]Chu Kiong Loo, Mandava Rajeswari, M. V. C. Rao:
Extrapolation detection and novelty-based node insertion for sequential growing multi-experts network. Appl. Soft Comput. 3(2): 159-175 (2003) - [j3]Chu Kiong Loo, Mandava Rajeswari, M. V. C. Rao:
Nonlinear dynamic system identification and control via constructivism inspired neural network. Appl. Soft Comput. 3(3): 237-257 (2003) - [j2]Tiew-On Ting, M. V. C. Rao, Chu Kiong Loo, Sze-San Ngu:
Solving Unit Commitment Problem Using Hybrid Particle Swarm Optimization. J. Heuristics 9(6): 507-520 (2003) - [j1]L. C. Kwek, E. K. Wong, Chu Kiong Loo, M. V. C. Rao:
Application of Active Force Control and Iterative Learning in a 5-Link Biped Robot. J. Intell. Robotic Syst. 37(2): 143-162 (2003) - [c3]Tiew-On Ting, M. V. C. Rao, Chu Kiong Loo, Sze-San Ngu:
A new class of operators to accelerate particle swarm optimization. IEEE Congress on Evolutionary Computation 2003: 2406-2410 - [c2]Y. K. Lam, E. K. Wong, Chu Kiong Loo:
Explicit communication in designing efficient cooperative mobile robotic system. ICRA 2003: 3869-3874 - 2002
- [c1]G. K. Kau, S. K. Mukherjee, Chu Kiong Loo, L. C. Kwek:
Evolutionary PID control of non-minimum phase plants. ICARCV 2002: 1487-1492
Coauthor Index
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