An Explainable Stacked Ensemble Model for Static Route-Free Estimation of Time of Arrival by Sören Schleibaum, Jörg P. Müller, Monika Sester

“…However, the complex ensemble architecture makes the resulting predictions less transparent. …”
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Software Defect Prediction For Quality Evaluation Using Learning Techniques Ensemble Stacking by Muhammad Romadhona Kusuma, Windu Gata, Sigit Kurniawan, Dedi Dwi Saputra, Supriadi Panggabean

“…We used machine learning techniques and ensemble stacking approach on the "Masjid Tower" dataset containing 228 records and 34 attributes. …”
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Predicted missing information biases ensemble perception of temporally ordered facial expressions by Jiahao Lu, Jun Wang

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Projections of Heat Waves Events in the Intra-Americas Region Using Multimodel Ensemble by Moises Angeles-Malaspina, Jorge E. González-Cruz, Nazario Ramírez-Beltran

“…Future projections using a multimodel ensemble mean for five global circulation models were used to project heat waves in the future under two scenarios: RCP4.5 and RCP8.5. …”
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Ensemble Deep Learning Object Detection Fusion for Cell Tracking, Mitosis, and Lineage by Imad Eddine Toubal, Noor Al-Shakarji, D. D. W. Cornelison, Kannappan Palaniappan

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An interpretable and stacking ensemble model for predicting heat and mass transfer of desiccant wheel by Mengyang Li, Liu Chen

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An optimized data analytics pipeline for improving healthcare diagnosis using ensemble learning by Lomat Haider Chowdhury, Shaira Tabassum, Swakkhar Shatabda, Ashir Ahmed

“…Later, five state-of-the-art ensemble models for healthcare diagnosis were implemented along with a proposed ensemble machine learning model, KNN-XGBoost-SVM-Random Forest (KNN-X-SVM-R). …”
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Optimizing hypoglycaemia prediction in type 1 diabetes with Ensemble Machine Learning modeling by Daphne N. Katsarou, Eleni I. Georga, Maria A. Christou, Panagiota A. Christou, Stelios Tigas, Costas Papaloukas, Dimitrios I. Fotiadis

“…Methods In this study, we propose an ensemble univariate short-term predictive model of the subcutaneous glucose concentration in T1D targeting at improving its error in the hypoglycaemic region. …”
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Grands ensembles, cités ouvrières, logement social : patrimoines habités, patrimoines contestés by Elizabeth Auclair, Anne Hertzog

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Appropriations habitantes dans les espaces intermédiaires des grands ensembles toulousains by Audrey Courbebaisse

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Deep Learning- and Word Embedding-Based Heterogeneous Classifier Ensembles for Text Classification by Zeynep H. Kilimci, Selim Akyokus

“…Ensemble learning is an approach to raise the overall accuracy of a classification system by utilizing multiple classifiers. …”
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A Hybrid Prediction Method for Stock Price Using LSTM and Ensemble EMD by Yang Yujun, Yang Yimei, Xiao Jianhua

“…We proposed a hybrid method for the prediction of future stock prices using LSTM and ensemble EMD in this paper. We use comprehensive EMD to decompose the complex original stock price time series into several subsequences which are smoother, more regular and stable than the original time series. …”
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Enhancing breast cancer prediction through stacking ensemble and deep learning integration by Fatih Gurcan

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Prediction of traditional Chinese medicine for diabetes based on the multi-source ensemble method by Bin Yang, Qingyun Chi, Xiang Li, Jinglong Wang

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Feedback control of an HBV model based on ensemble kalman filter and differential evolution by Junyoung Jang, Kihoon Jang, Hee-Dae Kwon, Jeehyun Lee

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Impact of Stochastically Perturbed Terminal Velocities on Convective-Scale Ensemble Forecasts of Precipitation by Shizhang Wang, Xiaoshi Qiao, Jinzhong Min

“…The impact of stochastically perturbing the terminal velocities of hydrometeors on convective-scale ensemble forecasts of precipitation was examined. An idealized supercell storm case was first used to determine the terminal velocity error characteristics for a one-moment microphysics scheme in terms of the terminal velocities from a two-moment scheme. …”
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Detecting Anomaly Classification Using PCA-Kmeans and Ensembled Classifier for Wind Turbines by Prince Waqas Khan, Yung-Cheol Byun

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Protocol to boost the robustness and accuracy of spatial transcriptomics algorithms using ensemble techniques by Jiazhang Cai, Shushan Wu, Huimin Cheng, Wenxuan Zhong, Guo-Cheng Yuan, Ping Ma

“…Here, we present a protocol for using weighted ensemble method for spatial transcriptomics (WEST), which uses ensemble techniques to boost the robustness and accuracy of existing algorithms. …”
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Characterizing Curvilinear Features Using the Localized Normal-Score Ensemble Kalman Filter by Haiyan Zhou, Liangping Li, J. Jaime Gómez-Hernández

“…The localized normal-score ensemble Kalman filter is shown to work for the characterization of non-multi-Gaussian distributed hydraulic conductivities by assimilating state observation data. …”
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Prediction of Moderate and Heavy Rainfall in New Zealand Using Data Assimilation and Ensemble by Yang Yang, Phillip Andrews, Trevor Carey-Smith, Michael Uddstrom, Mike Revell

“…This numerical weather prediction study investigates the effects of data assimilation and ensemble prediction on the forecast accuracy of moderate and heavy rainfall over New Zealand. …”
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