Výsledky vyhledávání - "unsupervised algorithm"

YAKE! Keyword extraction from single documents using multiple local features Autor Campos, Ricardo, Mangaravite, Vítor, Pasquali, Arian, Jorge, Alípio, Nunes, Célia, Jatowt, Adam

“…As the amount of generated information grows, reading and summarizing texts of large collections turns into a challenging task. Many documents do not come with…”
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Infrared spectroscopic evaluation for catalytic hydrogenation of biomass and coal using unsupervised and supervised algorithms Autor Zou, Hai-Xu, Bai, Xiang, Fan, Xing, Wang, Min-Hua, Xu, Yang-Yang, Ma, Feng-Yun, Wei, Xian-Yong, Kuznetsov, Peter N.

“…•Functional groups are effective variables of machine learning for FTIR spectra.•OH is a key factor discriminating the samples because of deoxidation…”
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Using local outlier factor to detect fraudulent claims in auto insurance Autor Maryam Esna-Ashari, Farzan Khamesian, Farbod Khanizadeh

“…Given the significant increase in fraudulent claims and the resulting financial losses‎, ‎it is important to adopt a scientific approach to detect and prevent…”
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Local outlier factor for anomaly detection in HPCC systems Autor Adesh, Arya, G, Shobha, Shetty, Jyoti, Xu, Lili

“…•LOF is an unsupervised anomaly detection algorithm that mines anomalies by calculating the local density of data points relative to their neighborhood. In…”
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Dynamic real–time abnormal energy consumption detection and energy efficiency optimization analysis considering uncertainty Autor Yin, Sihua, Yang, Haidong, Xu, Kangkang, Zhu, Chengjiu, Zhang, Shaqing, Liu, Guosheng

“…[Display omitted] •Two abnormal detection methods based on the rain flow counting method are presented.•The proposed method can accurately detect abnormal…”
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STI: A self-evolutive traffic identification system for unknown applications based on improved random forest Autor Liang, Yulong, Wang, Fei, Chen, Shuhui, Chen, Beier, Bo, Yunjiao

“…Artificial intelligence technology has proven potential and effective in traffic identification for network management and security. However, the accuracy of…”
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An efficient Meta-VSW method for ship behaviors recognition and application Autor Cai, Zhiyuan, Fan, Qidong, Li, Lecheng, Yu, Long, Li, Congbo

“…Ship behaviors refer to the operational process such as sailing, entering into port/departure, etc., which indicate by their position, speed, and so on. The…”
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A novel machine learning unsupervised algorithm for sleep/wake identification using actigraphy Autor Li, Xinyue, Zhang, Yunting, Jiang, Fan, Zhao, Hongyu

“…Actigraphy is widely used in sleep studies but lacks a universal unsupervised algorithm for sleep/wake identification. An unsupervised algorithm is useful in…”
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An unsupervised automatic measurement of wheat spike dimensions in dense 3D point clouds for field application Autor Wang, Fuli, Li, Fengping, Mohan, Vishwanathan, Dudley, Richard, Gu, Dongbing, Bryant, Ruth

“…An accurate measurement of field-grown wheat traits, including spike number, dimension and volume are essential for crop phenotyping and yield analysis. A…”
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A Novel Single-Sample Retinal Vessel Segmentation Method Based on Grey Relational Analysis Autor Wang, Yating, Li, Hongjun

“…Accurate segmentation of retinal vessels is of great significance for computer-aided diagnosis and treatment of many diseases. Due to the limited number of…”
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Study of Subjective Quality and Objective Blind Quality Prediction of Stereoscopic Videos Autor Appina, Balasubramanyam, Dendi, Sathya Veera Reddy, Manasa, K., Channappayya, Sumohana S., Bovik, Alan C.

“…We present a new subjective and objective study on full high-definition (HD) stereoscopic (3D or S3D) video quality. In the subjective study, we constructed an…”
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An Improved K-means Clustering Algorithm Towards an Efficient Data-Driven Modeling Autor Zubair, Md, Iqbal, MD. Asif, Shil, Avijeet, Chowdhury, M. J. M., Moni, Mohammad Ali, Sarker, Iqbal H.

“…K-means algorithm is one of the well-known unsupervised machine learning algorithms. The algorithm typically finds out distinct non-overlapping clusters in…”
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An application of machine learning with feature selection to improve diagnosis and classification of neurodegenerative disorders Autor Álvarez, Josefa Díaz, Matias-Guiu, Jordi A., Cabrera-Martín, María Nieves, Risco-Martín, José L., Ayala, José L.

“…Background The analysis of health and medical data is crucial for improving the diagnosis precision, treatments and prevention. In this field, machine learning…”
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Empowering multi-source SAR Flood mapping with unsupervised learning Autor Jiang, Xin, Zeng, Zhenzhong

“…Flood mapping plays a crucial role in effective disaster management, risk assessment, and mitigation planning, given the widespread and destructive nature of…”
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A Model to Detect the Fraud of Electronic Payment Card Transactions Based on Stream Processing in Big Data Autor Banirostam, Hamid, Banirostam, Touraj, Pedram, Mir Mohsen, Rahmani, Amir Masoud

“…With the growing use of electronic cash cards, the number of transactions with these cards has also increased rapidly, so the importance of using fraud…”
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Habituation as a neural algorithm for online odor discrimination Autor Shen, Yang, Dasgupta, Sanjoy, Navlakha, Saket

“…Habituation is a form of simple memory that suppresses neural activity in response to repeated, neutral stimuli. This process is critical in helping organisms…”
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Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging Autor Díaz-Álvarez, Josefa, Matias-Guiu, Jordi A., Cabrera-Martín, María Nieves, Pytel, Vanesa, Segovia-Ríos, Ignacio, García-Gutiérrez, Fernando, Hernández-Lorenzo, Laura, Matias-Guiu, Jorge, Carreras, José Luis, Ayala, José L.

“…Genetic algorithms have a proven capability to explore a large space of solutions, and deal with very large numbers of input features. We hypothesized that the…”
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AISleep: Automated and interpretable sleep staging from single-channel EEG data Autor Mai, Xun, Song, Binghua, Luo, Manli, Zhu, Jun, Jiang, Xu, Ma, Xiao, Lin, Feng, Hu, Xiaoqing, Peng, Hanchuan, Zhang, Li, Wei, Yina

“…Sleep staging is essential for understanding sleep physiology and diagnosing sleep-related disorders. However, traditional manual scoring is time-consuming and…”
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Unsupervised co-segmentation for 3D shapes using iterative multi-label optimization Autor Meng, Min, Xia, Jiazhi, Luo, Jun, He, Ying

“…This paper presents an unsupervised algorithm for co-segmentation of a set of 3D shapes of the same family. Taking the over-segmentation results as input, our…”
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A self‐supervised strategy for fully automatic segmentation of renal dynamic contrast‐enhanced magnetic resonance images Autor Huang, Wenjian, Li, Hao, Wang, Rui, Zhang, Xiaodong, Wang, Xiaoying, Zhang, Jue

“…Purpose An automated accurate segmentation for dynamic contrast‐enhanced magnetic resonance (DCE‐MR) image sequences is essential for quantification of renal…”
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