Search Results - Machine learning classification algorithms

The GALAH Survey: A New Sample of Extremely Metal-poor Stars Using a Machine-learning Classification Algorithm by 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 by 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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Introducing ARTMO’s Machine-Learning Classification Algorithms Toolbox: Application to Plant-Type Detection in a Semi-Steppe Iranian Landscape by 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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Overcoming the pitfalls and perils of algorithms: A classification of machine learning biases and mitigation methods by 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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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 by 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 by 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 by 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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Prediction of type II diabetes mellitus based on demographic features by the use of machine learning classification algorithms — a study across Assam, India by 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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Constructing a User-Centered Fake News Detection Model by Using Classification Algorithms in Machine Learning Techniques (Jan 2023) by 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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Geoacoustic and geophysical data‐driven seafloor sediment classification through machine learning algorithms with property‐centered oversampling techniques by 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 by 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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Comparison of three machine learning algorithms for classification of B‐cell neoplasms using clinical flow cytometry data by 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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Construction of the Luxury Marketing Model Based on Machine Learning Classification Algorithm by 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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Application of Machine Learning Algorithms to Classification of Pb–Zn Deposit Types Using LA–ICP–MS Data of Sphalerite by 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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Water quality classification using machine learning algorithms by 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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Machine learning models and classification algorithms in the diagnosis of vestibular migraine: A systematic review and meta‐analysis by 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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Classification of stroke disease using machine learning algorithms by 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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Brand Digital Marketing under Intranet Security Control Based on the Machine Learning Classification Algorithm by Liu, Yishu, Huang, Xiaoyan

“… In order to optimize brand digital marketing under internal and external security control based on the machine learning classification algorithm, this paper uses fuzzy system theory to perform fuzzy…”
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Classification of Australian Native Forest Species Using Hyperspectral Remote Sensing and Machine-Learning Classification Algorithms by 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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Comparison of Tree‐Based Machine Learning Algorithms for Classification of Livestock Breeds Based On Post‐Thaw Spermatological Parameters by 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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