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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) - [c99]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 - [c98]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 - [c97]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 - [c96]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 - [c95]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 - [c94]Ghalib Ahmed Tahir, Chu Kiong Loo:
Mitigating Catastrophic Forgetting In Adaptive Class Incremental Extreme Learning Machine Through Neuron Clustering. SMC 2020: 3903-3910 - [c93]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) - [c92]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 - [c91]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 - [c90]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 - [c89]Zongying Liu, Chu Kiong Loo, Min Jiang:
Grammatical Structure Detection with Intrinsic Plasticity based Echo State Networks for Cognitive Robot. SSCI 2019: 2207-2214 - [c88]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) - [c87]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 - [c86]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 - [c85]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 - [c84]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 - [c83]Yuya Shibata, Keita Tsuji, Chu Kiong Loo, Guanghao Sun, Yoichi Yamazaki, Takuya Hashimoto:
Vision-based HRV Measurement for HRI Study. SSCI 2018: 1779-1784 - [c82]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) - [c81]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 - [c80]Wei Shiung Liew, Chu Kiong Loo, Takenori Obo:
Optimizing FELM ensembles using GA-BIC. IFSA-SCIS 2017: 1-6 - [c79]Habeebah Adamu Kakudi, Chu Kiong Loo, Foong Ming Moy:
Predicting metabolic syndrome using risk quantification and ensemble methods. SSCI 2017: 1-8 - [c78]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 - [c77]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) - [c76]Rishwaraj Gengarajoo, S. G. Ponnambalam, Chu Kiong Loo:
Evaluating Trust in Multi-Agents System Through Temporal Difference Leaning. ICIRA (1) 2016: 513-524 - [c75]Naoki Masuyama, Chu Kiong Loo:
An Iterative Incremental Learning Algorithm for Complex-Valued Hopfield Associative Memory. ICONIP (4) 2016: 423-431 - [c74]Wei Shiung Liew, Chu Kiong Loo, Takenori Obo:
Genetic Optimized Fuzzy Extreme Learning Machine Ensembles for Affect Classification. SCIS&ISIS 2016: 305-310 - [c73]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 - [c72]Wei Hong Chin, Chu Kiong Loo, Naoki Masuyama:
Multi-Channel Bayesian ART for robot fusion perception. SSCI 2016: 1-5 - [c71]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) - [c70]Takenori Obo, Chu Kiong Loo, Naoyuki Kubota:
Mutual adaptation in neuro fuzzy system for human posture recognition. ASCC 2015: 1-6 - [c69]Takenori Obo, Chu Kiong Loo, Naoyuki Kubota:
Robot posture generation based on genetic algorithm for imitation. CEC 2015: 552-557 - [c68]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 - [c67]Md. Nazrul Islam, Chu Kiong Loo:
Facial Emotion Profiling Based on Emotion Specific Feature Model. ICONIP (4) 2015: 556-565 - [c66]Saika Ono, Takenori Obo, Chu Kiong Loo, Naoyuki Kubota:
Robot communication based on relational trust model. IECON 2015: 5335-5338 - [c65]Naoki Masuyama, Chu Kiong Loo:
Quantum-Inspired Complex-Valued Multidirectional Associative Memory. IJCNN 2015: 1-8 - [c64]Takenori Obo, Chu Kiong Loo, Naoyuki Kubota:
Human behavior modeling for multimodal interaction with robot partner. MHS 2015: 1-7 - [c63]Naoki Masuyama, Chu Kiong Loo:
Robotic emotional model with personality factors based on Pleasant-Arousal scaling model. RO-MAN 2015: 19-24 - [c62]Takenori Obo, Chu Kiong Loo, Naoyuki Kubota:
Imitation learning for daily exercise support with robot partner. RO-MAN 2015: 752-757 - [c61]Zeeshan Rasool, Naoki Masuyama, Md. Nazrul Islam, Chu Kiong Loo:
Empathic Interaction Using the Computational Emotion Model. SSCI 2015: 109-116 - [c60]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 - [c59]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) - [c58]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 - [c57]Naoki Masuyama, Chu Kiong Loo:
Quantum-inspired multidirectional associative memory for human-robot interaction system. FUZZ-IEEE 2014: 1757-1764 - [c56]Davood Kalhor, Chu Kiong Loo:
Artificial Curiosity Driven Robots with Spatiotemporal Regularity Discovery Ability. ICIC (2) 2014: 87-98 - [c55]Manjeevan Seera, Chee Peng Lim, Chu Kiong Loo:
Transfer Learning Using the Online FMM Model. ICONIP (1) 2014: 151-158 - [c54]Md. Nazrul Islam, Chu Kiong Loo:
Geometric Feature-Based Facial Emotion Recognition Using Two-Stage Fuzzy Reasoning Model. ICONIP (2) 2014: 344-351 - [c53]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 - [c52]Wei Hong Chin, Chu Kiong Loo:
Topological Gaussian Adaptive Resonance Associative Memory with Fuzzy Motion Planning for Place Navigation. ICONIP (3) 2014: 604-611 - [c51]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 - [c50]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 - [c49]Cherukuri Aswani Kumar, M. S. Ishwarya, Chu Kiong Loo:
Modeling Associative Memories Using Formal Concept Analysis. INNS-CIIS 2014: 109-118 - [c48]Parham Nooralishahi, Chu Kiong Loo:
3D Object Detection for Reconstructed Scene Using Multi-layer Growing Neural Gas. INNS-CIIS 2014: 211-219 - [c47]Nuo Wi Noel Tay, János Botzheim, Chu Kiong Loo, Naoyuki Kubota:
Robust face recognition via transfer learning for robot partner. RiiSS 2014: 8-15 - [c46]Farhan Dawood, Chu Kiong Loo:
Autonomous motion primitive segmentation of actions for incremental imitative learning of humanoid. RiiSS 2014: 47-54 - [c45]Naoki Masuyama, Md. Nazrul Islam, Chu Kiong Loo:
Affective communication robot partners using associative memory with mood congruency effects. RiiSS 2014: 104-111 - [c44]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 - [c43]Farhan Dawood, Chu Kiong Loo:
Humanoid behaviour learning through visuomotor association by self-imitation. SCIS&ISIS 2014: 922-929 - [c42]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 - [c41]Manjeevan Seera, Chu Kiong Loo, Chee Peng Lim:
A hybrid FMM-CART model for human activity recognition. SMC 2014: 182-187 - [c40]Muhammad Burhan Hafez, Chu Kiong Loo:
Curiosity-based topological reinforcement learning. SMC 2014: 1979-1984 - [c39]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]