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Wu, Zipeng and Loo, Chu Kiong and Pasupa, Kitsuchart (2024) Correlated online k-nearest neighbors regressor chain for online multi-output regression. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14449. 28 – 39. ISSN 0302-9743, DOI https://doi.org/10.1007/978-981-99-8067-3_3.
Lodkaew, Thanawat and Pasupa, Kitsuchart and Loo, Chu Kiong (2023) CowXNet: An automated cow estrus detection system. Expert Systems with Applications, 211. ISSN 0957-4174, DOI https://doi.org/10.1016/j.eswa.2022.118550.
Kong, Nadine Alvina and Moy, Foong Ming and Ong, Shu Hwa and Tahir, Ghalib Ahmed and Loo, Chu Kiong (2023) MyDietCam: Development and usability study of a food recognition integrated dietary monitoring smartphone application. Digital Health, 9. ISSN 2055-2076, DOI https://doi.org/10.1177/20552076221149320.
Yang, Biao and Fan, Fucheng and Ni, Rongrong and Li, Jie and Loo, Chu Kiong and Liu, Xiaofeng (2022) Continual learning-based trajectory prediction with memory augmented networks. Knowledge-Based Systems, 258. ISSN 0950-7051, DOI https://doi.org/10.1016/j.knosys.2022.110022.
Ibrahim, Hemin and Loo, Chu Kiong and Alnajjar, Fady (2022) Bidirectional parallel echo state network for speech emotion recognition. Neural Computing & Applications, 34 (20). pp. 17581-17599. ISSN 0941-0643, DOI https://doi.org/10.1007/s00521-022-07410-2.
Mao, Yi and Sun, Rui and Wang, Junhui and Cheng, Qi and Loo, Chu Kiong and Ochieng, Washington Yotto (2022) New time-differenced carrier phase approach to GNSS/INS integration. GPS Solutions, 26 (4). ISSN 1080-5370, DOI https://doi.org/10.1007/s10291-022-01314-3.
Gryshchuk, Vadym and Weber, Cornelius and Loo, Chu Kiong and Wermter, Stefan (2022) Go ahead and do not forget: Modular lifelong learning from event-based data. Neurocomputing, 500. pp. 1063-1074. ISSN 0925-2312, DOI https://doi.org/10.1016/j.neucom.2022.05.101.
Lee, Gin Chong and Loo, Chu Kiong (2022) On the post hoc explainability of optimized self-organizing reservoir network for action recognition. Sensors, 22 (5). ISSN 1424-8220, DOI https://doi.org/10.3390/s22051905.
Liu, Zongying and Li, Shaoxi and Pan, Mingyang and Loo, Chu Kiong (2022) Grammatical structure detection by instinct plasticity based echo state networks with genetic algorithm. Neurocomputing, 467. pp. 173-183. ISSN 0925-2312, DOI https://doi.org/10.1016/j.neucom.2021.09.073.
Saeed, Talha and Loo, Chu Kiong and Kassim, Muhammad Shahreeza Safiruz (2022) Ensembles of deep learning framework for stomach abnormalities classification. CMC-Computers Materials & Continua, 70 (3). pp. 4357-4372. ISSN 1546-2218, DOI https://doi.org/10.32604/cmc.2022.019076.
Ibrahim, Hemin and Loo, Chu Kiong (2022) Reservoir computing with truncated normal distribution for speech emotion recognition. Malaysian Journal of Computer Science, 35 (2). pp. 128-141. ISSN 0127-9084, DOI https://doi.org/10.22452/mjcs.vol35no2.3. (In Press)
Lee, Gin Chong and Loo, Chu Kiong and Liew, Wei Shiung (2022) Self-organizing reservoir network for action recognition. Malaysian Journal of Computer Science, 35 (3). pp. 243-263. ISSN 0127-9084, DOI https://doi.org/10.22452/mjcs.vol35no3.4.
Tahir, Ghalib Ahmed and Loo, Chu Kiong (2021) Explainable deep learning ensemble for food image analysis on edge devices. Computers in Biology and Medicine, 139. ISSN 0010-4825, DOI https://doi.org/10.1016/j.compbiomed.2021.104972.
Tahir, Ghalib Ahmed and Loo, Chu Kiong (2021) A comprehensive survey of image-based food recognition and volume estimation methods for dietary assessment. Healthcare, 9 (12). ISSN 2227-9032, DOI https://doi.org/10.3390/healthcare9121676.
Tahir, Ghalib Ahmed and Loo, Chu Kiong (2021) Progressive kernel extreme learning machine for food image analysis via optimal features from quality resilient CNN. Applied Sciences-Basel, 11 (20). ISSN 2076-3417, DOI https://doi.org/10.3390/app11209562.
Liu, Zongying and Loo, Chu Kiong and Pasupa, Kitsuchart (2021) A novel error-output recurrent two-layer extreme learning machine for multi-step time series prediction. Sustainable Cities and Society, 66. ISSN 2210-6707, DOI https://doi.org/10.1016/j.scs.2020.102613.
Alnajjar, Fady and Cappuccio, Massimiliano and Renawi, Abdulrahman and Mubin, Omar and Loo, Chu Kiong (2021) Personalized robot interventions for autistic children: An automated methodology for attention assessment. International Journal of Social Robotics, 13 (1, SI). pp. 67-82. ISSN 1875-4791, DOI https://doi.org/10.1007/s12369-020-00639-8.
Liang, Shuaibing and Md Sabri, Aznul Qalid and Alnajjar, Fady and Loo, Chu Kiong (2021) Autism spectrum self-stimulatory behaviors classification using explainable temporal coherency deep features and SVM classifier. IEEE Access, 9. pp. 34264-34275. DOI https://doi.org/10.1109/ACCESS.2021.3061455.
Kakudi, Habeebah Adamu and Loo, Chu Kiong and Moy, Foong Ming and Kau, Lim Chee and Pasupa, Kitsuchart (2021) Diagnosis of metabolic syndrome using machine learning, statistical and risk quantification techniques: A systematic literature review. Malaysian Journal of Computer Science, 34 (3). pp. 221-241. ISSN 0127-9084, DOI https://doi.org/10.22452/mjcs.vol34no3.1.
Liew, Wei Shiung and Loo, Chu Kiong and Wermter, Stefan (2021) Emotion recognition using explainable genetically optimized fuzzy ART ensembles. IEEE Access, 9. pp. 61513-61531. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2021.3072120.
Tahir, Ghalib Ahmed and Loo, Chu Kiong (2021) Explainable deep learning ensemble for food image analysis on edge devices. Computers in Biology and Medicine, 139. p. 104972. ISSN 0010-4825, DOI https://doi.org/10.1016/j.compbiomed.2021.104972.
Abrar, Sundus and Loo, Chu Kiong and Kubota, Naoyuki (2021) A Multi-Agent Approach for Personalized Hypertension Risk Prediction. IEEE Access, 9. pp. 75090-75106. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2021.3074791.
Ibrahim, Hemin and Loo, Chu Kiong and Alnajjar, Fady (2021) Speech emotion recognition by late fusion for bidirectional reservoir computing with random projection. IEEE Access, 9. pp. 122855-122871. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2021.3107858.
Anwaar, Muhammad and Loo, Chu Kiong and Seera, Manjeevan (2020) Face image synthesis with weight and age progression using conditional adversarial autoencoder. Neural Computing & Applications, 32 (8). pp. 3567-3579. ISSN 0941-0643, DOI https://doi.org/10.1007/s00521-019-04217-6.
Tahir, Ghalib Ahmed and Loo, Chu Kiong (2020) An Open-Ended Continual Learning for Food Recognition Using Class Incremental Extreme Learning Machines. IEEE Access, 8. pp. 82328-82346. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2020.2991810.
Tan, Choo Jun and Neoh, Siew Chin and Lim, Chee Peng and Hanoun, Samer and Wong, Wai Peng and Loo, Chu Kiong and Zhang, Li and Nahavandi, Saeid (2019) Application of an evolutionary algorithm-based ensemble model to job-shop scheduling. Journal of Intelligent Manufacturing, 30 (2). pp. 879-890. ISSN 0956-5515, DOI https://doi.org/10.1007/s10845-016-1291-1.
Kakudi, Habeebah Adamu and Loo, Chu Kiong and Moy, Foong Ming and Masuyama, Naoki and Pasupa, Kitsuchart (2019) Diagnosing Metabolic Syndrome Using Genetically Optimised Bayesian ARTMAP. IEEE Access, 7. pp. 8437-8453. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2018.2880224.
Siamaknejad, Hossein and Liew, Wei Shiung and Loo, Chu Kiong (2019) Fractal dimension methods to determine optimum EEG electrode placement for concentration estimation. Neural Computing and Applications, 31 (3). pp. 945-953. ISSN 0941-0643, DOI https://doi.org/10.1007/s00521-017-3126-1.
Masuyama, Naoki and Loo, Chu Kiong and Wermter, Stefan (2019) A Kernel Bayesian Adaptive Resonance Theory with A Topological Structure. International Journal of Neural Systems, 29 (05). p. 1850052. ISSN 0129-0657, DOI https://doi.org/10.1142/S0129065718500521.
Liu, Zongying and Loo, Chu Kiong and Seera, Manjeevan (2019) Meta-cognitive Recurrent Recursive Kernel OS-ELM for concept drift handling. Applied Soft Computing, 75. pp. 494-507. ISSN 1568-4946, DOI https://doi.org/10.1016/j.asoc.2018.11.006.
Nooralishahi, Parham and Loo, Chu Kiong and Shiung, Liew Wei (2019) Robust remote heart rate estimation from multiple asynchronous noisy channels using autoregressive model with Kalman filter. Biomedical Signal Processing and Control, 47. pp. 366-379. ISSN 1746-8094, DOI https://doi.org/10.1016/j.bspc.2018.09.007.
Masuyama, Naoki and Loo, Chu Kiong and Ishibuchi, Hisao and Kubota, Naoyuki and Nojima, Yusuke and Liu, Yiping (2019) Topological Clustering via Adaptive Resonance Theory With Information Theoretic Learning. IEEE Access, 7. pp. 76920-76936. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2019.2921832.
Pasupa, Kitsuchart and Sunhem, Wisuwat and Loo, Chu Kiong (2019) A hybrid approach to building face shape classifier for hairstyle recommender system. Expert Systems with Applications, 120. pp. 14-32. ISSN 0957-4174, DOI https://doi.org/10.1016/j.eswa.2018.11.011.
Randhawa, Kuldeep and Loo, Chu Kiong and Seera, Manjeevan and Lim, Chee Peng and Nandi, Asoke K. (2018) Credit Card Fraud Detection Using AdaBoost and Majority Voting. IEEE Access, 6. pp. 14277-14284. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2018.2806420.
Dawood, Farhan and Loo, Chu Kiong (2018) Developmental Approach for Behavior Learning Using Primitive Motion Skills. International Journal of Neural Systems, 28 (04). p. 1750038. ISSN 0129-0657, DOI https://doi.org/10.1142/S0129065717500381.
Masuyama, Naoki and Loo, Chu Kiong and Dawood, Farhan (2018) Kernel Bayesian ART and ARTMAP. Neural Networks, 98. pp. 76-86. ISSN 0893-6080, DOI https://doi.org/10.1016/j.neunet.2017.11.003.
Masuyama, Naoki and Loo, Chu Kiong and Seera, Manjeevan (2018) Personality affected robotic emotional model with associative memory for human-robot interaction. Neurocomputing, 272. pp. 213-225. ISSN 0925-2312, DOI https://doi.org/10.1016/j.neucom.2017.06.069.
Masuyama, Naoki and Loo, Chu Kiong and Seera, Manjeevan and Kubota, Naoyuki (2018) Quantum-Inspired Multidirectional Associative Memory With a Self-Convergent Iterative Learning. IEEE Transactions on Neural Networks and Learning Systems, 29 (4). pp. 1058-1068. ISSN 2162-237X, DOI https://doi.org/10.1109/TNNLS.2017.2653114.
Liu, Zongying and Loo, Chu Kiong and Masuyama, Naoki and Pasupa, Kitsuchart (2018) Recurrent Kernel Extreme Reservoir Machine for Time Series Prediction. IEEE Access, 6. pp. 19583-19596. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2018.2823336.
Daoud, Hayyan Afeef and Sabri, Aznul Qalid Md and Loo, Chu Kiong and Mansoor, Ali Mohammed (2018) SLAMM: Visual monocular SLAM with continuous mapping using multiple maps. PLoS ONE, 13 (4). e0195878. ISSN 1932-6203, DOI https://doi.org/10.1371/journal.pone.0195878.
Nooralishahi, Parham and Loo, Chu Kiong and Seera, Manjeevan (2018) Semi-supervised topo-Bayesian ARTMAP for noisy data. Applied Soft Computing, 62. pp. 134-147. ISSN 1568-4946, DOI https://doi.org/10.1016/j.asoc.2017.10.011.
Chin, Wei Hong and Loo, Chu Kiong (2018) Topological Gaussian ARAM for biologically inspired topological map building. Neural Computing and Applications, 29 (4). pp. 1055-1072. ISSN 0941-0643, DOI https://doi.org/10.1007/s00521-016-2505-3.
Yousefi, Bardia and Loo, Chu Kiong (2018) A dual fast and slow feature interaction in biologically inspired visual recognition of human action. Applied Soft Computing, 62. pp. 57-72. ISSN 1568-4946, DOI https://doi.org/10.1016/j.asoc.2017.10.021.
Tay, Nuo Wi and Loo, Chu Kiong and Perus, Mitja (2010) Application of gabor wavelet in Quantum Holography for image recognition. International Journal of Nanotechnology and Molecular Computation, 2 (1). pp. 44-61. ISSN 1941-6318, DOI https://doi.org/10.4018/jnmc.2010010104.
Chang, R.K.Y. and Loo, Chu Kiong and Rao, M.V.C. (2009) Enhanced probabilistic neural network with data imputation capabilities for machine-fault slassification. Neural Computing and Applications, 18 (7). pp. 791-800. ISSN 0941-0643,
Loo, Chu Kiong and Law, A. and Lim, W.S. and Rao, M.V.C. (2006) Probabilistic ensemble simplified fuzzy ARTMAP for sonar target differentiation. Neural Computing and Applications, 15 (1). pp. 79-90. ISSN 0941-0643,
Perus, Mitja and Bischof, Horst and Loo, Chu Kiong (2005) Bio-computational model of object-recognition: quantum Hebbian processing with neurally shaped Gabor wavelets. Biosystems, 82 (2). pp. 116-126. ISSN 0303-2647, DOI https://doi.org/10.1016/j.biosystems.2005.06.004.
Liang, Shuaibing and Loo, Chu Kiong and Sabri, Aznul Qalid Md (2020) Autism spectrum disorder classification in videos: A hybrid of temporal coherency deep networks and self-organizing dual memory approach. In: iCatse International Conference on Information Science and Applications (ICISA), 16-18 December 2019, Seoul, South Korea.
Yamada, Yuna and Masuyama, Naoki and Amako, Narito and Nojima, Yusuke and Loo, Chu Kiong and Ishibuchi, Hisao (2020) Divisive hierarchical clustering based on adaptive resonance theory. In: 2020 International Symposium on Community-Centric Systems (CCS), 23-26 September 2020, Tokyo, Japan.
Hwooi, Stephen Khor Wen and Loo, Chu Kiong and Sabri, Aznul Qalid Md (2020) Emotion differentiation based on arousal intensity estimation from facial expressions. In: iCatse International Conference on Information Science and Applications (ICISA), 16-18 December 2019, Seoul, South Korea.
Chin, Wei Hong and Tay, Noel Nuo Wi and Kubota, Naoyuki and Loo, Chu Kiong (2020) A lightweight neural-net with assistive mobile robot for human fall detection system. In: International Joint Conference on Neural Networks (IJCNN) held as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI), 19-24 July 2020, Online.
