Extreme Learning Machines: A new approach for prediction of reference evapotranspiration von Abdullah, Shafika Sultan, Malek, M.A., Abdullah, Namiq Sultan, Kisi, Ozgur, Yap, Keem Siah

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On Equivalence of FIS and ELM for Interpretable Rule-Based Knowledge Representation von Wong, Shen Yuong, Yap, Keem Siah, Yap, Hwa Jen, Tan, Shing Chiang, Chang, Siow Wee

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Advances of metaheuristic algorithms in training neural networks for industrial applications von Chong, Hue Yee, Yap, Hwa Jen, Tan, Shing Chiang, Yap, Keem Siah, Wong, Shen Yuong

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Nontechnical Loss Detection for Metered Customers in Power Utility Using Support Vector Machines von Nagi, J., Yap, K.S., Sieh Kiong Tiong, Ahmed, S.K., Mohamad, M.

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Improving SVM-Based Nontechnical Loss Detection in Power Utility Using the Fuzzy Inference System von Nagi, J, Keem Siah Yap, Sieh Kiong Tiong, Ahmed, S K, Nagi, F

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A Constrained Optimization based Extreme Learning Machine for noisy data regression von Yuong Wong, Shen, Siah Yap, Keem, Jen Yap, Hwa

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A New Probabilistic Output Constrained Optimization Extreme Learning Machine von Wong, Shen Yuong, Yap, Keem Siah, Li, Xiao Chao

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Realization of a Hybrid Locally Connected Extreme Learning Machine With DeepID for Face Verification von Wong, Shen Yuong, Yap, Keem Siah, Zhai, Qingwei, Li, Xiaochao

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Daily maximum load forecasting of consecutive national holidays using OSELM-based multi-agents system with weighted average strategy von Siah Yap, Keem, Jen Yap, Hwa

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Application of Fuzzy Inference Rules to Early Semi-automatic Estimation of Activity Duration in Software Project Management von Chin Hooi Tan, Keem Siah Yap, Ishibuchi, Hisao, Nojima, Yusuke, Hwa Jen Yap

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Enhancement of Neural Network Based Multi Agent System for Classification and Regression in Energy System von Yaw, Chong Tak, Yap, Keem Siah, Wong, Shen Yuong, Yap, Hwa Jen, Paw, Johnny Koh Siew

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Hybrid Data Regression Model Based on the Generalized Adaptive Resonance Theory Neural Network von Wong, Shen Yuong, Yap, Keem Siah, Lim, Chee Peng, Lee, Eric Wai Ming

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Neural Information Processing: 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part III von Loo, Chu Kiong, Keem Siah, Yap, Wong, Kok Wai, Beng Jin, Andrew Teoh, Huang, Kaizhu

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Neural Information Processing: 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part I von Loo, Chu Kiong, Keem Siah, Yap, Wong, Kok Wai, Beng Jin, Andrew Teoh, Huang, Kaizhu

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Neural Information Processing: 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part II von Loo, Chu Kiong, Keem Siah, Yap, Wong, Kevin Kok Wai, Beng Jin, Andrew Teoh, Huang, Kaizhu

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Robust Lane Detection Based On Convolutional Neural Network and Random Sample Consensus von Kim, Jihun, Lee, Minho

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Radical-Enhanced Chinese Character Embedding von Sun, Yaming, Lin, Lei, Yang, Nan, Ji, Zhenzhou, Wang, Xiaolong

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A computational intelligence scheme for the prediction of the daily peak load von Nagi, Jawad, Yap, Keem Siah, Nagi, Farrukh, Tiong, Sieh Kiong, Ahmed, Syed Khaleel

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Fault Diagnosis in Wind Energy Management System using Extreme Learning Machine: A Systematic Review von Yaw, Chong Tak, Teoh, Siew Li, Koh, Siaw Paw, Yap, Keem Siah, Chong, Kok Hen, Low, Foo Wah

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Gas Turbine Model Parameter Classification During Abnormal Operation Using Support Vector Machine For Maintenance von Yaw, Chong Tak, Yap, Keem Siah, Koh, Siaw Paw, Tiong, Sieh Kiong, Ali, K., Low, Foo Wah

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