Search Results - "Liew, Wei Shiung"

Classifying Stress From Heart Rate Variability Using Salivary Biomarkers as Reference by Wei Shiung Liew, Seera, Manjeevan, Chu Kiong Loo, Einly Lim, Kubota, Naoyuki

“…An accurate and noninvasive stress assessment from human physiology is a strenuous task. In this paper, a pattern recognition system to learn complex…”
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Emotion Recognition Using Explainable Genetically Optimized Fuzzy ART Ensembles by Liew, Wei Shiung, Loo, Chu Kiong, Wermter, Stefan

“…There is a growing demand for explainability in complex artificial intelligence solutions to support critical applications' decision-making processes. Barriers…”
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FedLoop: A P2P Personalized Federated Learning Method on Heterogeneous Data by Fei, Li, Loo, Chu Kiong, Shiung, Liew Wei, Xiaofeng, Liu

“…In federated learning scenarios, data heterogeneity can significantly impact performance. Personalized federated learning seeks to provide individualized…”
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Optimizing FELM ensembles using GA-BIC by Wei Shiung Liew, Chu Kiong Loo, Obo, Takenori

“…Performance of neural network learners is often dependent on initializing conditions. There is often a trade-off between processing speed and the…”
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Genetic Optimized Fuzzy Extreme Learning Machine Ensembles for Affect Classification by Wei Shiung Liew, Chu Kiong Loo, Obo, Takenori

“…This paper presents a method for generating an optimized ensemble of fuzzy extreme learning machines (FELM) using a combination of genetic algorithms with a…”
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Classification of transcranial Doppler signals using individual and ensemble recurrent neural networks by Seera, Manjeevan, Lim, Chee Peng, Tan, Kay Sin, Liew, Wei Shiung

“…Transcranial Doppler (TCD) is a reliable technique with the advantage of being non-invasive for the diagnosis of cerebrovascular diseases using blood flow…”
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Robust remote heart rate estimation from multiple asynchronous noisy channels using autoregressive model with Kalman filter by Nooralishahi, Parham, Loo, Chu Kiong, Shiung, Liew Wei

“…Remote heart rate measurement has many powerful applications, such as measuring stress in the workplace, and the analysis of the impact of cognitive tasks on…”
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Fractal dimension methods to determine optimum EEG electrode placement for concentration estimation by Siamaknejad, Hossein, Liew, Wei Shiung, Loo, Chu Kiong

“…In this study, fractal dimension approaches were used for analyzing EEG to determine the optimum electrode placement to distinguish between concentration and…”
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Fractal dimension methods to determine optimum EEG electrode placement for concentration estimation by Siamaknejad, Hossein, Chu Kiong Loo, Wei Shiung Liew

“…In this study, fractal dimension approaches were used for analyzing EEG to determine the optimum electrode placement to distinguish between concentration and…”
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Affect classification using genetic-optimized ensembles of fuzzy ARTMAPs by Liew, Wei Shiung, Seera, Manjeevan, Loo, Chu Kiong, Lim, Einly

“…Training neural networks in distinguishing different emotions from physiological signals frequently involves fuzzy definitions of each affective state. In…”
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Classification of electrocardiogram and auscultatory blood pressure signals using machine learning models by Seera, Manjeevan, Lim, Chee Peng, Liew, Wei Shiung, Lim, Einly, Loo, Chu Kiong

“…•Medical data classification problems with two real data sets are investigated.•A literature review on biomedical signal processing techniques is provided.•The…”
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Hierarchical Parallel Genetic Optimization Fuzzy ARTMAP Ensemble by Liew, Wei Shiung, Seera, Manjeevan, Loo, Chu Kiong

“…In this paper, a framework for designing optimum pattern classifiers is proposed. The fuzzy ARTMAP (FAM) is first used as a base classifier. Multiple FAM…”
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Probabilistic ensemble Fuzzy ARTMAP optimization using hierarchical parallel genetic algorithms by Loo, Chu Kiong, Liew, Wei Shiung, Seera, Manjeevan, Lim, Einly

“…In this study, a comprehensive methodology for overcoming the design problem of the Fuzzy ARTMAP neural network is proposed. The issues addressed are the…”
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PSO optimization of synergetic neural classifier for multichannel emotion recognition by Wee Ming Wong, Tan, A W C, Chu Kiong Loo, Wei Shiung Liew

“…In the world of technology, human-machine interaction is becoming more common and will perhaps be a part of our life in the future. Human-machine interaction…”
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Exploring Psycho-Physiological Correlates to Trust: Implications for Human-Robot-Human Interaction by Khalid, Halimahtun M., Shiung, Liew Wei, Nooralishahi, Parham, Rasool, Zeeshan, Helander, Martin G., Kiong, Loo Chu, Ai-vyrn, Chin

“…This paper describes a methodology for exploring trust using psychological (subjective) and physiological (objective) correlates to trust. The aim was to…”
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Adaptive Resonance Associative Memory for multi-channel emotion recognition by Sie Ching Siow, Chu Kiong Loo, Tan, A W C, Wei Shiung Liew

“…Emotion recognition in human-computer reaction is getting more important due to numerous potential applications it has. Most research works paid more attention…”
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Loop Improvement: An Efficient Approach for Extracting Shared Features from Heterogeneous Data without Central Server by Li, Fei, Loo, Chu Kiong, Liew, Wei Shiung, Liu, Xiaofeng

“…In federated learning, data heterogeneity significantly impacts performance. A typical solution involves segregating these parameters into shared and…”
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Explainable Lifelong Stream Learning Based on "Glocal" Pairwise Fusion by Loo, Chu Kiong, Liew, Wei Shiung, Wermter, Stefan

“…Real-time on-device continual learning applications are used on mobile phones, consumer robots, and smart appliances. Such devices have limited processing and…”
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Effect of Pruning on Catastrophic Forgetting in Growing Dual Memory Networks by Liew, Wei Shiung, Kiong Loo, Chu, Gryshchuk, Vadym, Weber, Cornelius, Wermter, Stefan

“…Grow-when-required networks such as the Growing Dual-Memory (GDM) networks possess a dynamic network structure, expanding to accommodate new neurons in…”
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Explainable Goal-Driven Agents and Robots -- A Comprehensive Review by Sado, Fatai, Loo, Chu Kiong, Liew, Wei Shiung, Kerzel, Matthias, Wermter, Stefan

“…Recent applications of autonomous agents and robots, such as self-driving cars, scenario-based trainers, exploration robots, and service robots have brought…”
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