DANA App Sentiment Analysis: Comparison of XGBoost, SVM, and Extra Trees by Muhamad Jodi Setiawan, Vinna Rahmayanti Setyaning Nastiti

“…This research aims to analyze sentiment on DANA application reviews to find out user perceptions by comparing Extreme Gradient Boosting (XGBoost), Support Vector Machine (SVM), and Extra Trees Classifier classification methods. DANA application review data is obtained from the Kaggle site which consists of 50,000 Indonesian-language reviews labeled with positive and negative sentiments. …”
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A Smart Intelligence System for Hen Breed and Disease classification using Extra Tree classifier-based Ensemble Technique by Galib Muhammad Shahriar Himel, Md. Masudul Islam

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A Fast and Cost-Effective Electronic Nose Model for Methanol Detection Using Ensemble Learning by Bilge Han Tozlu

“…A Voting Classifier, an ensemble model, was used with Linear Discriminant Analysis, Support Vector Machines, and Extra Trees algorithms. …”
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Machine learning-based stratification of prediabetes and type 2 diabetes progression by Marwa Matboli, Abdelrahman Khaled, Manar Fouad Ahmed, Manar Yehia Ahmed, Radwa Khaled, Gena M. Elmakromy, Amani Mohamed Abdel Ghani, Marwa M. El-Shafei, Marwa Ramadan M. Abdelhalim, Asmaa Mohamed Abd El Gwad

“…Five machine learning classifiers were applied: Random Forest (RF), Extra Tree Classifier, Quadratic Discriminant Analysis, Naïve Bayes, and Light Gradient Boosting Machine. …”
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Network-based intrusion detection using deep learning technique by Muhammad Farhan, Hafiz Waheed ud din, Saadat Ullah, Muhammad Sajjad Hussain, Muhammad Amir Khan, Tehseen Mazhar, Umar Farooq Khattak, Ines Hilali Jaghdam

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CHANGES IN EXTRA-ARTICULAR PAIN IN PATIENTS AFTER PRIMARY HIP REPLACEMENT by I. V. Kirpichev, M. N. Kirpikova

“…Risk factors for decompensation classified muscles that stabilize the hip joint (r = 0.78), shortening of the operated limb more than 3 cm (r = 0.72). …”
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Optimizing irrigation for photosynthesis and drought resistance of extra- long staple cotton varieties by NING Liyun, ZHANG Jusong, WANG Li, WU Yifan, HU Haoran, ZHANG Chengjie

“…【Method】The field experiment used a two-factor split-zone design to assess the effects of three irrigation levels: W1 (3 150 m3/hm2, 70% of conventional irrigation), W2 (3 825 m3/hm2, 85% of conventional irrigation), and W3 (4 500 m3/hm2, conventional irrigation). …”
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Thematic marking of the anthropological corpus: a methodology for classifying miners’ narratives by L. L. Mazitova, L. M. Panteleeva

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Mechanisms and influential factors of rock bursts in tunneling roadways of extra-thick coal seams by Yujie PENG, Qiang WANG, Anye CAO, Chengchun XUE, Guowei LYU, Qi HAO, Yaoqi LIU, Xianxi BAI, Dong LI

“…ObjectiveRock bursts occur frequently in tunneling roadways of extra-thick coal seams, significantly constraining safe coal mining. …”
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Exploring Important Factors in Predicting Heart Disease Based on Ensemble- Extra Feature Selection Approach by Howida Abubaker, Farkhana Muchtar, Alif Ridzuan Khairuddin, Ahmad Najmi Amerhaider Nuar, Zuriahati Mohd Yunos, Carolyn Salimun

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Comparison of Different Machine Learning Algorithms to Classify Epilepsy Seizure from EEG Signals by Pankaj Kunekar, Chanchal Kumawat, Vaishnavi Lande, Sushant Lokhande, Ram Mandhana, Malhar Kshirsagar

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Neurodevelopmental outcomes of infants with very low birth weights are associated with the severity of their extra-uterine growth retardation by Han-Chun Chien, Chao-Huei Chen, Teh-Ming Wang, Ya-Chi Hsu, Ming-Chih Lin

“…The severity of EUGR was classified into three categories according to the z-score of discharge weight: z < −2.0, <−2.5, and <−3.0. …”
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Research on key parameters of the Fatigue Arousal Zone in extra-long tunnels based on natural driving experiments by Ting Shang, Guan Lian, Lei Xie, Ao Zhou

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Early Detection of Fetal Health Conditions Using Machine Learning for Classifying Imbalanced Cardiotocographic Data by Irem Nazli, Ertugrul Korbeko, Seyma Dogru, Emin Kugu, Ozgur Koray Sahingoz

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A meta-analytic examination of the association between vertical and horizontal trust and the in-role, extra role, and organizational levels of performance by Luis Espinoza, Sofía Ríos-Leal, César Villacura-Herrera, Fabián Pérez, Hedy Acosta-Antognoni

“…Performance is commonly assessed through three dimensions: in-role (tasks specified in the job description), extra-role (voluntary behaviors that benefit the organization), and overall organizational performance. …”
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AbstractTrace: The Use of Execution Traces to Cluster, Classify, Prioritize, and Optimize a Bloated Test Suite by Ziad A. Al-Sharif, Clinton L. Jeffery

“…This facilitates the <i>de-bloating</i> process by providing a formal mechanism to identify, remove, and reduce <i>extra</i> test cases without compromising software quality. …”
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Audio-Based Engine Fault Diagnosis with Wavelet, Markov Blanket, ROCKET, and Optimized Machine Learning Classifiers by Bernardo Luis Tuleski, Cristina Keiko Yamaguchi, Stefano Frizzo Stefenon, Leandro dos Santos Coelho, Viviana Cocco Mariani

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Integrating seasonal variation into conservation planning can provide extra benefits: A case study in the Tana River Basin, Kenya by Jiacheng HUANG, Sisi YU, Kelvin Babu GITHAIGA, Samwel Maina NJUGUNA, Janet ONYANGO, Xue YAN

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Brain structural features with functional priori to classify Parkinson’s disease and multiple system atrophy using diagnostic MRI by Kai Zhou, Jie Li, Rui Huang, Jiali Yu, Rong Li, Wei Liao, Fengmei Lu, Xiaofei Hu, Huafu Chen, Qing Gao

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CD138-Negative Extra-oral Plasmablastic Lymphoma in an Immuno-competent Patient—Diagnostic Challenge: A Case Report and Review of Literature by Shweta Katiyar, Tripti Verma, Ajita Dubey, Niti Singhal, Anshul Gupta, Kasturi Rangan, Sandeep Kumar Verma, Madhu Mati Goel

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