Výsledky vyhledávání - Machine learning algorithms and Classification

The GALAH Survey: A New Sample of Extremely Metal-poor Stars Using a Machine-learning Classification Algorithm Autor Hughes, Arvind C. N., Spitler, Lee R., Zucker, Daniel B., Nordlander, Thomas, Simpson, Jeffrey, Da Costa, Gary S., Ting, Yuan-Sen, Li, Chengyuan, Bland-Hawthorn, Joss, Buder, Sven, Casey, Andrew R., De Silva, Gayandhi M., D’Orazi, Valentina, Freeman, Ken C., Hayden, Michael R., Kos, Janez, Lewis, Geraint F., Lin, Jane, Lind, Karin, Martell, Sarah L., Schlesinger, Katharine J., Sharma, Sanjib, Zwitter, Tomaž

“… Here we leverage a large sample of ∼600,000 high-resolution stellar spectra from the GALAH survey plus a machine-learning algorithm to find 54 candidates with estimated [Fe/H…”
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Nationwide Trends in Type 1 and Type 2 Diabetes in France (2010–2019): A Population-Based Study Using a Machine Learning Classification Algorithm Autor Fagherazzi, Guy, Serusclat, Pierre, Roux, Barbara, Bretin, Oriane, Casarotto, Emilie, Rabiéga, Pascaline, Rabat, Yolaine, Berteau, Cécile, Pouyet, Antoine, Joubert, Michael

“… 2 diabetes in France from 2010 to 2019. It focused on individuals treated or not with insulin and applied a predictive classification algorithm to accurately distinguish between diabetes types using real-world data…”
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Overcoming the pitfalls and perils of algorithms: A classification of machine learning biases and mitigation methods Autor van Giffen, Benjamin, Herhausen, Dennis, Fahse, Tobias

“… However, when machine learning is used for decision-making, bias rooted in unrepresentative datasets, inadequate models, weak algorithm designs, or human stereotypes can lead to low performance…”
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Introducing ARTMO’s Machine-Learning Classification Algorithms Toolbox: Application to Plant-Type Detection in a Semi-Steppe Iranian Landscape Autor Aghababaei, Masoumeh, Ebrahimi, Ataollah, Naghipour, Ali Asghar, Asadi, Esmaeil, Pérez-Suay, Adrián, Morata, Miguel, Garcia, Jose Luis, Rivera Caicedo, Juan Pablo, Verrelst, Jochem

“… . To date, no freely downloadable toolbox exists that brings the diversity of the latest supervised machine-learning classification algorithms (MLCAs…”
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Numerical simulation of nitric oxide (NO) emission for HCNG fueled SI engine by Zeldovich’, prompt (HCN) and nitrous oxide (N2O) mechanisms along with the error reduction novel sub-models and their classification through machine learning algorithms Autor Rao, Anas, Liu, Yongzhen, Ma, Fanhua

“…•The best of each combination has been trained through machine learning classifier. The zero-carbon emission can be achieved with utilization of hydrogen fuel in transportation sector but NOx emission rises…”
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Machine Learning Algorithms for Classification of First-Trimester Fetal Brain Ultrasound Images Autor Gofer, Stav, Haik, Oren, Bardin, Ron, Gilboa, Yinon, Perlman, Sharon

“…To evaluate the feasibility of machine learning (ML) tools for segmenting and classifying first-trimester fetal brain ultrasound images…”
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Classification and prediction‐based machine learning algorithms to predict students’ low and high programming performance Autor Durak, Aykut, Bulut, Vahide

“…–24 who receive programming education, by descriptive analysis, to determine the current situation according to various variables and to redict them with machine learning algorithms…”
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Constructing a User-Centered Fake News Detection Model by Using Classification Algorithms in Machine Learning Techniques (Jan 2023) Autor Park, Minjung, Chai, Sangmi

“…, source or authors indication, length of a message, frequency of negative words). Compared to them, this study proposes a fake news detection model based on machine…”
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Prediction of type II diabetes mellitus based on demographic features by the use of machine learning classification algorithms — a study across Assam, India Autor Sarkar, Partha Pratim, Das, Snigdha Jyoti

“…Background The incidence of type II diabetes mellitus (T2DM) has quadruplicated in the recent decades and Prevention of T2DM cases is possible by changing…”
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Geoacoustic and geophysical data‐driven seafloor sediment classification through machine learning algorithms with property‐centered oversampling techniques Autor Park, Junghee, Lee, Jong‐Sub, Yoon, Hyung‐Koo

“…This study aims to classify seafloor sediments using physics‐inspired and data‐driven soil models combined with machine learning algorithms and oversampling techniques…”
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A Machine Learning Algorithm to Automate Vehicle Classification and License Plate Detection Autor Srividhya, S. R., Kavitha, C., Lai, Wen-Cheng, Mani, Vinodhini, Khalaf, Osamah Ibrahim

“…In the field of intelligent transportation systems (ITS), video surveillance is a hot research topic; this surveillance is used in a variety of applications,…”
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Water quality classification using machine learning algorithms Autor Nasir, Nida, Kansal, Afreen, Alshaltone, Omar, Barneih, Feras, Sameer, Mustafa, Shanableh, Abdallah, Al-Shamma'a, Ahmed

“… Specifically, various machine learning classifiers and their stacking ensemble models were used to classify the WQ data via the Water Quality Index (WQI…”
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Comparison of three machine learning algorithms for classification of B‐cell neoplasms using clinical flow cytometry data Autor Dinalankara, Wikum, Ng, David P., Marchionni, Luigi, Simonson, Paul D.

“…) algorithms to assist in the interpretive process. Here we report our examination of three previously published machine learning methods for classification of flow cytometry data and apply these to a…”
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Application of Machine Learning Algorithms to Classification of Pb–Zn Deposit Types Using LA–ICP–MS Data of Sphalerite Autor Sun, Guo-Tao, Zhou, Jia-Xi

“…Pb–Zn deposits supply a significant proportion of critical metals, such as In, Ga, Ge, and Co. Due to the growing demand for critical metals, it is urgent to…”
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Classification of stroke disease using machine learning algorithms Autor Govindarajan Priya, Soundarapandian Ravichandran Kattur, Gandomi, Amir H, Patan Rizwan, Jayaraman Premaladha, Ramachandran, Manikandan

“…This paper presents a prototype to classify stroke that combines text mining tools and machine learning algorithms…”
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Machine learning models and classification algorithms in the diagnosis of vestibular migraine: A systematic review and meta‐analysis Autor Suarez‐Barcena, Pablo D., Parra‐Perez, Alberto M., Martín‐Lagos, Juan, Gallego‐Martinez, Alvaro, Lopez‐Escámez, Jose A., Perez‐Carpena, Patricia

“…Objectives To perform a systematic review and meta‐analysis to evaluate the effectiveness of machine learning (ML…”
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Construction of the Luxury Marketing Model Based on Machine Learning Classification Algorithm Autor Chen, Qiaoshan, Cai, Shousong, Gu, Xiaomin

“… more efficient than randomized marketing. Therefore, in this paper, based on consumer buying habits and characteristics data of luxury goods, the paper uses a machine learning algorithm to build a personalized marketing strategy model…”
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Classification of Australian Native Forest Species Using Hyperspectral Remote Sensing and Machine-Learning Classification Algorithms Autor Shang, Xiao, Chisholm, Laurie A.

“…, exhibit similar biophysical characteristics. This study assessed the potential of using hyperspectral remote sensing data and state-of-the-art machine-learning classification algorithms to classify Australian forest species at the leaf, canopy…”
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Software Requirements Classification Using Machine Learning Algorithms Autor Dias Canedo, Edna, Cordeiro Mendes, Bruno

“… This study shows a comparison among the text feature extraction techniques, and machine learning algorithms to the problem of requirements engineer classification…”
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Comparison of Tree‐Based Machine Learning Algorithms for Classification of Livestock Breeds Based On Post‐Thaw Spermatological Parameters Autor Özen, Doğukan, Özen, Hülya, Gül, Elif Bersu, Olgaç, Kemal Tuna, Tekin, Koray, Tirpan, Mehmet Borga, Akçay, Ergun, Daşkin, Ali

“…ABSTRACT Reproductive efficiency is a crucial determinant of livestock productivity, with sperm quality being a key factor in successful fertilization. The…”
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