Assessing chemical exposure risk in breastfeeding infants: An explainable machine learning model for human milk transfer prediction by Xiaojie Huang, Jiajia Chen, Peineng Liu

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A Data-Driven Approach to Engineering Instruction: Exploring Learning Styles, Study Habits, and Machine Learning by Lauren Genith Isaza Dominguez, Antonio Robles-Gomez, Rafael Pastor-Vargas

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SynthSecureNet: An Improved Deep Learning Architecture with Application to Intelligent Violence Detection by Ntandoyenkosi Zungu, Peter Olukanmi, Pitshou Bokoro

Subjects: “…ensemble model…”
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On the mathematical modelling of tumor-induced angiogenesis by Luis L. Bonilla, Vincenzo Capasso, Mariano Alvaro, Manuel Carretero, Filippo Terragni

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Covid-19 Detection from Chest X-Ray Images and Hybrid Model Recommendation with Convolutional Neural Networks by Furkan Eryılmaz, Hacer Karacan

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Current Trends in Class Imbalance Learning for Software Defect Prediction by Somya R. Goyal

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Financial time series classification method based on low‐frequency approximate representation by Bing Liu, Huanhuan Cheng

Subjects: “…complete ensemble empirical mode decomposition with adaptive noise…”
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Managing the Investment Attractiveness of the Federal Subjects of Russia in the Context of the UN Sustainable Development Goals by A. N. Borisov, A. I. Borodin, R. V. Gubarev, E. I. Dzyuba, E. R. Sagatgareev

Subjects: “…investment attractiveness, investment potential, investment risks, regions of russia, artificial intelligence, clustering kohonen map, bayesian ensemble, dynamic neural network models…”
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Beuret Jean-Eudes, Anne Cadoret, 2010, Gérer ensemble les territoires, Vers une démocratie participative.... by Marion Amalric

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Klang gegen Rhythmus. Die Entwicklung von Texturen in Vladimir Tarnopolskis Foucault’s Pendulum by Hannes Oberrauter

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« Partir du détail pour arriver à l’ensemble ». L’enseignement de Jean Prouvé au Conservatoire national des arts et métiers (1958-1971).Entretien avec Jean-Gilbert Jozon suivi de la liste des cours donnés entre 1960 et 1963. by Valérie Nègre, Guy Lambert

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Evaluation of CMIP5 Global Climate Models for Simulating Climatological Temperature and Precipitation for Southeast Asia by Suchada Kamworapan, Chinnawat Surussavadee

“…The performance of CNRM-CM5-2 is compared with those of the ensemble average of all 40 GCMs (40-GCM-Ensemble) and the ensemble average of the 6 best GCMs (6-GCM-Ensemble) for four categories, i.e., temperature only, precipitation only, land only, and sea only. …”
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Dendritic phytic acid as a proton-conducting crosslinker for improved thermal stability and proton conductivity by Keiichiro Maegawa, Vellaichamy Joseph, Arthisree Devendran, Hassan Alipour, Krzysztof Łyczko, Yaroslav Korol, Hanna Lewandowska-Siwkiewicz, Atsushi Nagai

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Design of an Evolutionary Approach for Intrusion Detection by Gulshan Kumar, Krishan Kumar

“…The proposed approach can generate a pool of noninferior individual solutions and ensemble solutions thereof. The generated ensembles can be used to detect the intrusions accurately. …”
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Research and application of XGBoost in imbalanced data by Ping Zhang, Yiqiao Jia, Youlin Shang

“…Aiming at this problem, an attempt was made to optimize the regularization term of XGBoost, and a classification algorithm based on mixed sampling and ensemble learning is proposed. The main idea is to combine SVM-SMOTE over-sampling and EasyEnsemble under-sampling technologies for data processing, and then obtain the final model based on XGBoost by training and ensemble. …”
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Robust Framework to Combine Diverse Classifiers Assigning Distributed Confidence to Individual Classifiers at Class Level by Shehzad Khalid, Sannia Arshad, Sohail Jabbar, Seungmin Rho

“…A weight learning method is then introduced to learn weights on each class for different classifiers to construct an ensemble. For this purpose, we applied genetic algorithm to search for an optimal weight vector on which classifier ensemble is expected to give the best accuracy. …”
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Pascal Häusermann et le motel L’Eau vive : une conception d’avant-garde ? by Alexandra Buvignier-Legros

“…Built by Pascal Häusermann between 1967 and 1971 using the shotcrete shell technique, the Motel L’Eau Vive is a unique ensemble in Lorraine, located in the town of Raon-l’Étape. …”
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Negative Correlation Learning for Customer Churn Prediction: A Comparison Study by Ali Rodan, Ayham Fayyoumi, Hossam Faris, Jamal Alsakran, Omar Al-Kadi

“…Experiments results confirm that NCL based MLP ensemble can achieve better generalization performance (high churn rate) compared with ensemble of MLP without NCL (flat ensemble) and other common data mining techniques used for churn analysis.…”
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Deep learning of noncontrast CT for fast prediction of hemorrhagic transformation of acute ischemic stroke: a multicenter study by Huanhuan Ren, Haojie Song, Shaoguo Cui, Hua Xiong, Bangyuan Long, Yongmei Li

“…The ensemble model predicted PH and PH-2 with AUROC of 0.858 and 0.806, respectively. …”
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A model for predicting dropout of higher education students by Anaíle Mendes Rabelo, Luis Enrique Zárate

“…The ensemble model combines the results of three models: Logistic Regression, Neural Networks, and Decision Tree. …”
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