Extreme learning machines for feature learning by Liyanaarachchi Lekamalage, Chamara Kasun

“…Hence this thesis extends ELM for feature learning. This thesis introduces an ELM based feature learning framework with linear hidden layer activation function referred to as linear Extreme Learning Machine Auto-Encoder (ELM-AE) and linear Sparse Extreme Learning Machine Auto-Encoder (SELM-AE); ELM-AE and SELM-AE with sigmoid hidden layer activation function referred to as non-linear ELM-AE and non-linear SELM-AE. …”
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The role of Wee1 in the hypoxia-induced DNA damage response and its potential as a therapeutic target by O'Brien, EM

“…The physiological relevance of this includes resistance to radiotherapy and chemotherapy, as well as activation of specific signalling cascades. …”

Indoor occupancy estimation using environmental parameters by Masood, Khalid Mustafa

“…The FS-ELM is in fact a novel architecture of the ELM, in which a feature layer is added to the standard ELM. …”
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Spelling out syntax: a minimalist approach to Talmy’s typology by Acedo-Matellan, V

Extreme learning machine based fast object recognition by Xu, Jiantao, Zhou, Hongming, Huang, Guang-Bin

“…Besides, the parameter tuning process for ELM is much easier than SVM as well.…”
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Angels and AI, immortality and heresy, hierarchies and love: responses to replies to Astrobiology and Christian Doctrine by Davison, A

Weighted online sequential extreme learning machine for class imbalance learning by Lin, Zhiping, Mirza, Bilal., Toh, Kar-Ann.

“…In this paper, we propose a weighted online sequential extreme learning machine (WOS-ELM) algorithm for class imbalance learning (CIL). …”
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Further studies of extreme learning machine and compressed signal detection by Cao, Jiuwen

“…In Chapter 1, we give literature reviews of extreme learning machine (ELM) and compressed sensing (CS). In part I of the thesis (Chapters 2, 3, and 4), we consider the recent ELM for training neural networks and present several improved algorithms. …”
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Extreme learning machine for classification and clustering on multiview data by Chen, Jichao

“…The ELM auto-encoder (ELM-AE) is adopted for feature extraction and feature fusion, and an ELM classifier is ultilized for the final classification. …”
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Enhanced extreme learning machines for image classification by Cui, Dongshun

“…Among numerous machine learning methods, we choose the Extreme Learning Machine (ELM) for our image classification applications. …”
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Sequential learning for extreme learning machine by Liang, Nanying

“…A novel sequential learning algorihtm for training Single Hidden Layer Feedforward Neural Network (SLFN), Online Sequential Extreme Learning Machine (OS-ELM) is proposed. OS-ELM is based on the combination of Extreme Learning Machine (ELM) and the recursive least-squares (RLS) algorithm. …”
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Short-term load forecasting by wavelet transform and evolutionary extreme learning machine by Li, Song, Wang, Peng, Goel, Lalit

“…Each component of the load series is then separately forecasted by a hybrid model of ELM and MABC (ELM-MABC). The global search technique MABC is developed to find the best parameters of input weights and hidden biases for ELM. …”
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International trade and letters of credit: a double-edged sword in times of crises by Crozet, M, Demir, B, Javorcik, B

ADC architectures for low power analog machine learning by David Bose, Christin

“…First, a 1-bit ADC (current comparator) is designed for application in a novel ELM based conditional branch prediction system designed for pipelined processors. …”
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EEG based mind controlled car by Li, Yue

“…Furthermore, in order to demo the result, we built a remote control car which controlled by the classification result from ELM classifier.…”
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Emotional states classification from brain signals by Lee, Vinson Bing Jun.

“…Results from the experimental data have indicated that Kernel ELM is the best option as opposed to other SVM variants. …”
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The Global Multidimensional Poverty Index 2021: harmonised level estimates and their changes over time by Alkire, S, Kanagaratnam, U, Suppa, N

Geometry guided supervised representation learning for classification by Li, Yue

“…The extreme learning machine auto-encoder (ELM-AE) is an extension of ELM, which is well-known for its fast training speed and strong generalization ability. …”
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Structured learning of human interactions in TV shows by Patron-Perez, A, Marszalek, M, Reid, I, Zisserman, A

Biosignals-based driver’s awareness/emotion monitoring for future car design by Yao, Xibing

“…The aim of this project is to design experiments to obtain and compare the test accuracy of ELM in simulated driving and real driving. As well as to test the performance of artifact removal based on ICA in simulated driving and real driving. …”
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