Search Results - "Learning algorithm"

Secure optimal control of Itô stochastic Markov jump systems subject to DoS attacks: A hybrid learning algorithm by Wang, Xin, Kong, Linghuan, Zhu, Quanxin, Niu, Ben

“…This paper investigates the secure optimal control problem (SOCP) for Itô stochastic Markov jump system (ISMJS) in the presence of unknown system dynamics,…”
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Three layered sparse dictionary learning algorithm for enhancing the subject wise segregation of brain networks by Khalid, Muhammad Usman, Nauman, Malik Muhammad, Akram, Sheeraz, Ali, Kamran

“… The associated sequential DL model involved factorizing each subject’s data into a multi-subject (MS…”
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Testing a machine-learning algorithm to predict the persistence and severity of major depressive disorder from baseline self-reports by Kessler, R C, van Loo, H M, Wardenaar, K J, Bossarte, R M, Brenner, L A, Cai, T, Ebert, D D, Hwang, I, Li, J, de Jonge, P, Nierenberg, A A, Petukhova, M V, Rosellini, A J, Sampson, N A, Schoevers, R A, Wilcox, M A, Zaslavsky, A M

“…Heterogeneity of major depressive disorder (MDD) illness course complicates clinical decision-making. Although efforts to use symptom profiles or biomarkers to…”
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Identifying Schizophrenia Using Structural MRI With a Deep Learning Algorithm by Oh, Jihoon, Oh, Baek-Lok, Lee, Kyong-Uk, Chae, Jeong-Ho, Yun, Kyongsik

“…) remains challenging. This study aimed to detect schizophrenia in structural MRI data sets using a trained deep learning algorithm…”
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Development of a deep residual learning algorithm to screen for glaucoma from fundus photography by Shibata, Naoto, Tanito, Masaki, Mitsuhashi, Keita, Fujino, Yuri, Matsuura, Masato, Murata, Hiroshi, Asaoka, Ryo

“…The Purpose of the study was to develop a deep residual learning algorithm to screen for glaucoma from fundus photography and measure its diagnostic performance compared to Residents in Ophthalmology…”
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Traditional Ceramic Sculpture Feature Recognition Based on the Machine Learning Algorithm by Zhu, XiaoLei

“… designed a traditional ceramic sculpture modeling feature recognition method based on the machine learning algorithm…”
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An iterative cross-subject negative-unlabeled learning algorithm for quantifying passive fatigue by Foong, Ruyi, Ang, Kai Keng, Zhang, Zhuo, Quek, Chai

“…This paper proposes an iterative negative-unlabeled (NU) learning algorithm for cross-subject detection of passive fatigue from labelled alert (negative…”
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Prediction of the Dst Index with Bagging Ensemble-learning Algorithm by Xu, S. B., Huang, S. Y., Yuan, Z. G., Deng, X. H., Jiang, K.

“… In this study, we use the Bagging ensemble-learning algorithm, which combines three algorithms-the artificial neural network, support vector regression, and long short-term memory network-to predict…”
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Deep Learning Algorithm to Detect Cardiac Sarcoidosis From Echocardiographic Movies by Katsushika, Susumu, Kodera, Satoshi, Nakamoto, Mitsuhiko, Ninomiya, Kota, Kakuda, Nobutaka, Shinohara, Hiroki, Matsuoka, Ryo, Ieki, Hirotaka, Uehara, Masae, Higashikuni, Yasutomi, Nakanishi, Koki, Nakao, Tomoko, Takeda, Norifumi, Fujiu, Katsuhito, Daimon, Masao, Ando, Jiro, Akazawa, Hiroshi, Morita, Hiroyuki, Komuro, Issei

“…Because the early diagnosis of subclinical cardiac sarcoidosis (CS) remains difficult, we developed a deep learning algorithm to distinguish CS patients from healthy subjects using echocardiographic movies…”
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Two- Versus 8-Zone Lung Ultrasound in Heart Failure: Analysis of a Large Data Set Using a Deep Learning Algorithm by Baloescu, Cristiana, Chen, Alvin, Varasteh, Alexander, Toporek, Grzegorz, McNamara, Robert L, Raju, Balasundar, Moore, Chris

“… (right and left anterior/lateral and superior/inferior). A previously published deep learning algorithm that rates severity of B-lines on a 0-4 scale was adapted for use on hand-held ultrasound full video loops…”
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Distributed Online Learning Algorithm for Noncooperative Games Over Unbalanced Digraphs by Deng, Zhenhua, Zuo, Xiaolong

“… To seek the variational generalized Nash equilibrium (GNE) of the game online, a distributed learning algorithm is proposed based on gradient descent, projection, and primal-dual methods…”
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A Practical Transfer Learning Algorithm for Face Verification by Xudong Cao, Wipf, David, Fang Wen, Genquan Duan, Jian Sun

“…Face verification involves determining whether a pair of facial images belongs to the same or different subjects…”
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Evolution and impact of bias in human and machine learning algorithm interaction by Sun, Wenlong, Nasraoui, Olfa, Shafto, Patrick

“…Traditionally, machine learning algorithms relied on reliable labels from experts to build predictions…”
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Towards ‘automated gonioscopy’: a deep learning algorithm for 360° angle assessment by swept-source optical coherence tomography by Porporato, Natalia, Tun, Tin A, Baskaran, Mani, Wong, Damon W K, Husain, Rahat, Fu, Huazhu, Sultana, Rehena, Perera, Shamira, Schmetterer, Leopold, Aung, Tin

“… An independent test set of 39 936 SS-OCT scans from 312 phakic subjects (128 SS-OCT meridional scans per eye) was analysed…”
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Multi-layer transfer learning algorithm based on improved common spatial pattern for brain–computer interfaces by Cai, Zhuo, Gao, Yunyuan, Fang, Feng, Zhang, Yingchun, Du, Shunlan

“… In this paper, a Multi-layer transfer learning algorithm based on improved Common Spatial Patterns (MTICSP…”
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A Deep Learning Algorithm to Quantify Neuroretinal Rim Loss From Optic Disc Photographs by Thompson, Atalie C., Jammal, Alessandro A., Medeiros, Felipe A.

“… eyes of 490 subjects were randomly divided into the validation plus training (80%) and test sets (20%). A DL convolutional neural network was trained to predict the SDOCT BMO-MRW global and sector values when evaluating optic disc photographs…”
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Fully portable and wireless universal brain–machine interfaces enabled by flexible scalp electronics and deep learning algorithm by Mahmood, Musa, Mzurikwao, Deogratias, Kim, Yun-Soung, Lee, Yongkuk, Mishra, Saswat, Herbert, Robert, Duarte, Audrey, Ang, Chee Siang, Yeo, Woon-Hong

“… require training on a per-subject or per-session basis. Here, we introduce a fully portable, wireless, flexible scalp electronic system, incorporating a set of dry electrodes and a flexible membrane circuit…”
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Detecting suicidal risk using MMPI-2 based on machine learning algorithm by Kim, Sunhae, Lee, Hye-Kyung, Lee, Kounseok

“…Minnesota Multiphasic Personality Inventory-2 (MMPI-2) is a widely used tool for early detection of psychological maladjustment and assessing the level of…”
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Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs by Jammal, Alessandro A., Thompson, Atalie C., Mariottoni, Eduardo B., Berchuck, Samuel I., Urata, Carla N., Estrela, Tais, Wakil, Susan M., Costa, Vital P., Medeiros, Felipe A.

“… Evaluation of a machine learning algorithm. An M2M DL algorithm trained with RNFL thickness parameters from spectral-domain optical coherence tomography was applied to a subset of 490 fundus photos of 490 eyes of 370 subjects graded by 2…”
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Motor imagery EEG signal classification using novel deep learning algorithm by Mathiyazhagan, Sathish, Devasena, M. S. Geetha

“… However, these technologies face challenges and exhibit reduced performances due to signal noise, inter-subject variability, and real-time processing demands…”
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