Predicting Energy Consumption Using Stacked LSTM Snapshot Ensemble by Mona Ahamd Alghamdi, Abdullah S. AL-Malaise AL-Ghamdi, Mahmoud Ragab

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Efficient diagnosis of diabetes mellitus using an improved ensemble method by Blessing Oluwatobi Olorunfemi, Adewale Opeoluwa Ogunde, Ahmad Almogren, Abidemi Emmanuel Adeniyi, Sunday Adeola Ajagbe, Salil Bharany, Ayman Altameem, Ateeq Ur Rehman, Asif Mehmood, Habib Hamam

“…This research employs parallel and sequential ensemble ML approaches paired with feature selection techniques to boost classification accuracy. …”
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Ensemble Deep Learning Technique for Detecting MRI Brain Tumor by Rasool Fakhir Jader, Shahab Wahhab Kareem, Hoshang Qasim Awla

“…In the specifics, our models outperformed every other published modern ensemble model in the official deep learning challenge without any postprocessing. …”
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Layer ensemble averaging for fault tolerance in memristive neural networks by Osama Yousuf, Brian D. Hoskins, Karthick Ramu, Mitchell Fream, William A. Borders, Advait Madhavan, Matthew W. Daniels, Andrew Dienstfrey, Jabez J. McClelland, Martin Lueker-Boden, Gina C. Adam

“…This work proposes layer ensemble averaging—a hardware-oriented fault tolerance scheme for improving inference performance of non-ideal memristive neural networks programmed with pre-trained solutions. …”
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Two mechanisms of membrane digestion: enzymatic-transport ensemble exists by S. T. Metelsky, V. T. Ivashkin

“…In humans such enzymatic-transport ensemble is absent. Free and maltose glucose, apparently, are transported through brush border of enterocytes by two various mechanisms.…”
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Fuzzy Clustering-Based Ensemble Approach to Predicting Indian Monsoon by Moumita Saha, Pabitra Mitra, Arun Chakraborty

“…Next, we develop individual prediction models for the year clusters. A weighted ensemble of these individual models is used to obtain the final forecast. …”
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Ensemble Classifier for Epileptic Seizure Detection for Imperfect EEG Data by Khalid Abualsaud, Massudi Mahmuddin, Mohammad Saleh, Amr Mohamed

“…This study investigates the use of a new ensemble classifier to detect an epileptic seizure from compressed and noisy EEG signals. …”
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An Ensemble Based Machine Learning Classification for Automated Glaucoma Detection by Digvijay J. Pawar, Yuvraj K. Kanse, Suhas S. Patil

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Automated Stellar Spectra Classification with Ensemble Convolutional Neural Network by Zhuang Zhao, Jiyu Wei, Bin Jiang

“…In this paper, a robust ensemble convolutional neural network (ECNN) was designed and applied to improve the classification accuracy of massive stellar spectra from the Sloan digital sky survey. …”
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An Incremental Learning Ensemble Strategy for Industrial Process Soft Sensors by Huixin Tian, Minwei Shuai, Kun Li, Xiao Peng

“…When new data set arrives, a new submachine will be trained and aggregated into ensemble soft sensor model according to its weight. …”
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Big Archive-Assisted Ensemble of Many-Objective Evolutionary Algorithms by Wen Zhong, Jian Xiong, Anping Lin, Lining Xing, Feilong Chen, Yingwu Chen

“…Aiming at these characteristics, this paper proposes a flexible ensemble framework, namely, ASES, which is highly scalable for embedding any number of MOEAs to promote their advantages. …”
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A Cost-Sensitive Ensemble Method for Class-Imbalanced Datasets by Yong Zhang, Dapeng Wang

“…This paper proposes a cost-sensitive ensemble method based on cost-sensitive support vector machine (SVM), and query-by-committee (QBC) to solve imbalanced data classification. …”
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Ensemble Based Box-Cox Transformation via Meta Analysis by Osman Dağ, Muhammed Ali Yılmaz

“…In this study, this combination is proposed as ensemble based Box-Cox transformation via meta analysis. …”
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ENSEMBLE MUSIC AS EDUCATIONAL AND COMMUNICATIVE RESOURCE. ONLINE SEMINAR REVIEW by Valentina L. Boiko, Svetlana A. Mitasova, Sergey G. Chaikin

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Correlating disordered activation domain ensembles with gene expression levels by Eduardo Flores, Aleah R. Camacho, Estefania Cuevas-Zepeda, Mary B. McCoy, Feng Yu, Max V. Staller, Shahar Sukenik

“…Like other disordered protein regions, ADs do not have a fixed three-dimensional structure and instead exist in an ensemble of conformations. Disordered ensembles contain sequence-encoded structural preferences that are often linked to their function. …”
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Adapting Ensemble‐Calibration Techniques to Probabilistic Solar‐Wind Forecasting by N. O. Edward‐Inatimi, M. J. Owens, L. Barnard, H. Turner, M. Marsh, S. Gonzi, M. Lang, P. Riley

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Deep Ensemble Learning for Human Action Recognition in Still Images by Xiangchun Yu, Zhe Zhang, Lei Wu, Wei Pang, Hechang Chen, Zhezhou Yu, Bin Li

“…In this research, we investigate human action recognition in still images and utilize deep ensemble learning to automatically decompose the body pose and perceive its background information. …”
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Weibo Rumor Recognition Based on Communication and Stacking Ensemble Learning by Yu Wu, Yan Zeng, Jie Yang, Zhenni Zhao

“…Thirdly, aiming at the problem that traditional classification algorithms are not suitable for complex rumor information recognition, a rumor recognition method based on Stacking ensemble learning is proposed. Our experiment results show that the proposed method has higher accuracy, less algorithm execution time, and better practical application effect.…”
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Breast Cancer Detection Using Ensemble Classifiers for Accuracy Improvement by Mahboubeh Shamsi, Mohadaseh Karimian, Marziyeh Karimian

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Improving the Accuracy for Analyzing Heart Diseases Prediction Based on the Ensemble Method by Xiao-Yan Gao, Abdelmegeid Amin Ali, Hassan Shaban Hassan, Eman M. Anwar

“…The comparison between machine learning algorithms and ensemble learning methods is applied to selected features. …”
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