Google
Google Scholar
Semantic Scholar
MS Academic
CiteSeerX
ORCIDChu Kiong Loo
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 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) - [c96]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 - [c95]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 - [c94]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 - [c93]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 - [c92]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 - [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) - [c91]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 - [c90]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 - [c89]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 - [c88]Zongying Liu, Chu Kiong Loo, Min Jiang:
Grammatical Structure Detection with Intrinsic Plasticity based Echo State Networks for Cognitive Robot. SSCI 2019: 2207-2214 - [c87]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) - [c86]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 - [c85]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 - [c84]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 - [c83]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 - [c82]Yuya Shibata, Keita Tsuji, Chu Kiong Loo, Guanghao Sun, Yoichi Yamazaki, Takuya Hashimoto:
Vision-based HRV Measurement for HRI Study. SSCI 2018: 1779-1784 - [c81]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]G. Rishwaraj, 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) - [c80]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 - [c79]Wei Shiung Liew, Chu Kiong Loo, Takenori Obo:
Optimizing FELM ensembles using GA-BIC. IFSA-SCIS 2017: 1-6 - [c78]Habeebah Adamu Kakudi, Chu Kiong Loo, Foong Ming Moy:
Predicting metabolic syndrome using risk quantification and ensemble methods. SSCI 2017: 1-8 - [c77]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 - [c76]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) - [c75]Rishwaraj Gengarajoo, S. G. Ponnambalam, Chu Kiong Loo:
Evaluating Trust in Multi-Agents System Through Temporal Difference Leaning. ICIRA (1) 2016: 513-524 - [c74]Naoki Masuyama, Chu Kiong Loo:
An Iterative Incremental Learning Algorithm for Complex-Valued Hopfield Associative Memory. ICONIP (4) 2016: 423-431 - [c73]Wei Shiung Liew, Chu Kiong Loo, Takenori Obo:
Genetic Optimized Fuzzy Extreme Learning Machine Ensembles for Affect Classification. SCIS&ISIS 2016: 305-310 - [c72]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 - [c71]Wei Hong Chin, Chu Kiong Loo, Naoki Masuyama:
Multi-Channel Bayesian ART for robot fusion perception. SSCI 2016: 1-5 - [c70]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) - [c69]Takenori Obo, Chu Kiong Loo, Naoyuki Kubota:
Mutual adaptation in neuro fuzzy system for human posture recognition. ASCC 2015: 1-6 - [c68]Takenori Obo, Chu Kiong Loo, Naoyuki Kubota:
Robot posture generation based on genetic algorithm for imitation. CEC 2015: 552-557 - [c67]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 - [c66]Md. Nazrul Islam, Chu Kiong Loo:
Facial Emotion Profiling Based on Emotion Specific Feature Model. ICONIP (4) 2015: 556-565 - [c65]Saika Ono, Takenori Obo, Chu Kiong Loo, Naoyuki Kubota:
Robot communication based on relational trust model. IECON 2015: 5335-5338 - [c64]Naoki Masuyama, Chu Kiong Loo:
Quantum-Inspired Complex-Valued Multidirectional Associative Memory. IJCNN 2015: 1-8 - [c63]Takenori Obo, Chu Kiong Loo, Naoyuki Kubota:
Human behavior modeling for multimodal interaction with robot partner. MHS 2015: 1-7 - [c62]Naoki Masuyama, Chu Kiong Loo:
Robotic emotional model with personality factors based on Pleasant-Arousal scaling model. RO-MAN 2015: 19-24 - [c61]Takenori Obo, Chu Kiong Loo, Naoyuki Kubota:
Imitation learning for daily exercise support with robot partner. RO-MAN 2015: 752-757 - [c60]Zeeshan Rasool, Naoki Masuyama, Md. Nazrul Islam, Chu Kiong Loo:
Empathic Interaction Using the Computational Emotion Model. SSCI 2015: 109-116 - [c59]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 - [c58]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) - [c57]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 - [c56]Naoki Masuyama, Chu Kiong Loo:
Quantum-inspired multidirectional associative memory for human-robot interaction system. FUZZ-IEEE 2014: 1757-1764 - [c55]Davood Kalhor, Chu Kiong Loo:
Artificial Curiosity Driven Robots with Spatiotemporal Regularity Discovery Ability. ICIC (2) 2014: 87-98 - [c54]Manjeevan Seera, Chee Peng Lim, Chu Kiong Loo:
Transfer Learning Using the Online FMM Model. ICONIP (1) 2014: 151-158 - [c53]Md. Nazrul Islam, Chu Kiong Loo:
Geometric Feature-Based Facial Emotion Recognition Using Two-Stage Fuzzy Reasoning Model. ICONIP (2) 2014: 344-351 - [c52]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 - [c51]Wei Hong Chin, Chu Kiong Loo:
Topological Gaussian Adaptive Resonance Associative Memory with Fuzzy Motion Planning for Place Navigation. ICONIP (3) 2014: 604-611 - [c50]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 - [c49]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 - [c48]Cherukuri Aswani Kumar, M. S. Ishwarya, Chu Kiong Loo:
Modeling Associative Memories Using Formal Concept Analysis. INNS-CIIS 2014: 109-118 - [c47]Parham Nooralishahi, Chu Kiong Loo:
3D Object Detection for Reconstructed Scene Using Multi-layer Growing Neural Gas. INNS-CIIS 2014: 211-219 - [c46]Nuo Wi Noel Tay, János Botzheim, Chu Kiong Loo, Naoyuki Kubota:
Robust face recognition via transfer learning for robot partner. RiiSS 2014: 8-15 - [c45]Farhan Dawood, Chu Kiong Loo:
Autonomous motion primitive segmentation of actions for incremental imitative learning of humanoid. RiiSS 2014: 47-54 - [c44]Naoki Masuyama, Md. Nazrul Islam, Chu Kiong Loo:
Affective communication robot partners using associative memory with mood congruency effects. RiiSS 2014: 104-111 - [c43]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 - [c42]Farhan Dawood, Chu Kiong Loo:
Humanoid behaviour learning through visuomotor association by self-imitation. SCIS&ISIS 2014: 922-929 - [c41]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 - [c40]Manjeevan Seera, Chu Kiong Loo, Chee Peng Lim:
A hybrid FMM-CART model for human activity recognition. SMC 2014: 182-187 - [c39]Muhammad Burhan Hafez, Chu Kiong Loo:
Curiosity-based topological reinforcement learning. SMC 2014: 1979-1984 - [c38]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) - [c37]Ghazaleh Taherzadeh, Chu Kiong Loo:
Image Classification Using Optimized Synergetic Neural Network. FIRA RoboWorld Congress 2013: 170-180 - [c36]Sau Cheong Loh, Chu Kiong Loo,