Search Results - "sparse autoencoder (SAE)"

Removal of EOG artifacts from EEG using a cascade of sparse autoencoder and recursive least squares adaptive filter by Yang, Banghua, Duan, Kaiwen, Zhang, Tao

“… (more than three channels) EEG recording is required. To address these limitations of existing methods, a method using a cascade of sparse autoencoder (SAE…”
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Decomposed Temporal Complexity Analysis of Neural Oscillations and Machine Learning Applied to Alzheimer’s Disease Diagnosis by Furutani, Naoki, Nariya, Yuta, Takahashi, Tetsuya, Noto, Sarah, Yang, Albert C., Hirosawa, Tetsu, Kameya, Masafumi, Minabe, Yoshio, Kikuchi, Mitsuru

“… We applied resting-state magnetoencephalography (MEG) to 17 AD patients and 21 healthy control subjects…”
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ASD-SAENet: A Sparse Autoencoder, and Deep-Neural Network Model for Detecting Autism Spectrum Disorder (ASD) Using fMRI Data by Almuqhim, Fahad, Saeed, Fahad

“… We designed and implemented a sparse autoencoder (SAE) which results in optimized extraction of features…”
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Unsupervised abnormality detection through mixed structure regularization (MSR) in deep sparse autoencoders by Freiman, Moti, Manjeshwar, Ravindra, Goshen, Liran

“… Methods We used coronary computed tomography angiography (CCTA) datasets of 90 subjects with expert annotated centerlines…”
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Gait phase recognition of lower limb exoskeleton system based on the integrated network model by Zhang, Zaifang, Wang, Zhaoyang, Lei, Han, Gu, Wenquan

“…[Display omitted] •A new gait recognition method based on integrated network model is proposed for identifying four phases in the gait cycle, including heel…”
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Alz-SAENet: A Deep Sparse Autoencoder based Model for Alzheimer’s Classification by Reddy, G Nagarjuna, Reddy, K Nagi

“…) and deep sparse autoencoder (SAE). Optimal features derived from the bottleneck layer of the hyper-tuned SAE network are subsequently…”
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Improving Myoelectric Pattern Recognition Robustness to Electrode Shift by Autoencoder by Lv, Bo, Sheng, Xinjun, Zhu, Xiangyang

“… To cope with this limitation, we propose an unsupervised feature extraction method called sparse autoencoder (SAE…”
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Predicting Epileptic Seizures using Ensemble Method by Noble-Nnakenyi, Prosper Chiemezuo, Olatunji, Kehinde Adebola, Abiola, Oluwatoyin Bunmi, Oguntimilehin, Abiodun, Adeyemo, Oluwaseyi Adesina, Babalola, Gbemisola

“…Medication or surgical treatment is the techniques used for people diagnosed with epilepsy, but these procedures are not completely effective. Nevertheless,…”
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Multimodal learning using convolution neural network and Sparse Autoencoder by Vu, Tien Duong, Yang, Hyung-Jeong, Nguyen, Van Quan, Oh, A-Ran, Kim, Mi-Sun

“…) have been the subject of extensive research. Deep learning has recently been a great interest in AD classification…”
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