Discrete wavelet transform coefficients for emotion recognition from EEG signals by Ser, Wee, Huang, Guang-Bin, Yohanes, Rendi E. J.

“…Two classifiers were used: Extreme Learning Machine (ELM) and Support Vector Machine (SVM). Experimental results confirmed that the proposed DWT coefficients method showed improvement of performance compared to previous methods.…”
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A novel low-velocity impact region identification method for cantilever beams using a support vector machine by Wang, Fengde, Kang, Yongtian, Xiao, Wensheng, Li, Changjiang, Liu, Qi

“…Through the comparative study, it is found that the recognition rate of SVM is higher than that of the probabilistic neural network (PNN) and extreme learning machine (ELM) for low-velocity impact area recognition of cantilever beams. …”
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Mujeres a la fuga: narrativa del viaje como vehículo de resistencia para las mujeres en tránsito por México = Women on the run: narrative of the journey as a vehicle of resistance... by López, María E., Díaz de León, Alejandra, Castro Sam, Ana Sabina

“…Las mujeres, muchas de ellas al cargo de sus hijos, surgen en el relato como sujetos interesantes atravesados por múltiples y cambiantes realidades, con autonomía, agencia y subjetividad política. …”
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Universal machine learning classifier using extreme learning machines by Chen, Jinnan

“…By using different scales of datasets, we could see the better performance of the proposed classifier and compared with the results of other popular algorithms, so the advantage of the ELM-based universal classifier could be demonstrated. …”
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GPU-based commonsense reasoning for real-time query answering and multimodal analysis by Tran, Ha Nguyen

“…In addition, in order to extract important textual features from multimodal sources, we generate domain-specific graphs based on commonsense knowledge and apply GPU-based graph traversal for fast feature detection. Then, powerful ELM classifiers are applied to build the sentiment analysis model based on the extracted features. …”
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