A novel sub-network level ensemble deep neural network with a regularized loss function to improve prediction performance by Jalil Toosifar, Yahya Forghani, Seyyed Abed Hosseini, Nasser Shoeibi

Subjects: “…Ensemble learning…”
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Highly efficient stacking ensemble learning model for automated keratoconus screening by Zahra J. Muhsin, Rami Qahwaji, Ibrahim Ghafir, Mo’ath AlShawabkeh, Muawyah Al Bdour, Saif Aldeen AlRyalat, Majid Al-Taee

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Optimized Hybrid Deep Learning Framework for Early Detection of Alzheimer’s Disease Using Adaptive Weight Selection by Karim Gasmi, Abdulrahman Alyami, Omer Hamid, Mohamed O. Altaieb, Osama Rezk Shahin, Lassaad Ben Ammar, Hassen Chouaib, Abdulaziz Shehab

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Comprehensive Performance Assessment of Multi-Neural Ensemble Model for Mortality Prediction in ICU by M. Fathima Begum, Subhashini Narayan

Subjects: “…Ensemble learning…”
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Perbandingan Metode Ensemble Learning pada Klasifikasi Penyakit Diabetes by Linggar Maretva Cendani, Adi Wibowo

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Lip-Reading Classification of Turkish Digits Using Ensemble Learning Architecture Based on 3DCNN by Ali Erbey, Necaattin Barışçı

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Adaptive Ensemble Framework With Synthetic Sampling for Tackling Class Imbalance Problem by R. Sasirekha, B. Kanisha

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Obesity Prediction Using Synthetic Minority Oversampling Technique for Numeric and Continous and XGBoost Approaches by Tiara Azahra Wika Putri, Umu Sa’adah, Ummu Habibah

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Enhancing Visitor Forecasting with Target-Concatenated Autoencoder and Ensemble Learning by Ray-I Chang, Chih-Yung Tsai, Yu-Wei Chang

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Cross-subject EEG signals-based emotion recognition using contrastive learning by Ahmed Mohammed Alghamdi, M. Usman Ashraf, Adel A. Bahaddad, Khalid Ali Almarhabi, Waleed A. Al Shehri, Amil Daraz

Subjects: “…Ensemble learning…”
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A Blending Ensemble Approach to Predicting Student Dropout in Massive Open Online Courses (MOOCs) by Muhammad Ricky Perdana Putra, Ema Utami

Subjects: “…blending ensemble learning…”
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The Best DFT Functional Is the Ensemble of Functionals by Yuting Rui, Yuxinxin Chen, Elena Ivanova, Vignesh Balaji Kumar, Szymon Śmiga, Ireneusz Grabowski, Pavlo O. Dral

Subjects: “…ensemble learning…”
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Ensemble learning to predict short birth interval among reproductive-age women in Ethiopia: evidence from EDHS 2016–2019 by Jenberu Mekurianew Kelkay, Deje Sendek Anteneh, Henok Dessie Wubneh, Abraham Dessie Gessesse, Gebeyehu Fassil Gebeyehu, Kalkidan Kassahun Aweke, Mikiyas Birhanu Ejigu, Mathias Amare Sendeku, Kirubel Adrissie Barkneh, Hasset Girma Demissie, Wubshet D. Negash, Birku Getie Mihret

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Teknik Bagging pada Ensemble Learning untuk Kategorisasi Produk E-Commerce by Faskal Churniansyah, Danang Wahyu Utomo

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BlockDroid: detection of Android malware from images using lightweight convolutional neural network models with ensemble learning and blockchain for mobile devices by Emre Şafak, İbrahim Alper Doğru, Necaattin Barışçı, İsmail Atacak

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An online monitoring method of milling cutter wear condition driven by digital twin by Xintian Zi, Shangshang Gao, Yang Xie

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Ensemble Machine Learning for the Prediction and Understanding of the Refractive Index in Chalcogenide Glasses by Miruna-Ioana Belciu, Alin Velea

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An ensemble learning strategy for multi‐source hydrogen embrittlement data by introducing missing information by Xujie Gong, Ruichao Lei, Ruize Sun, Xue Jiang, Yanjing Su, Yu Yan

Subjects: “…ensemble learning…”
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Hybrid Machine Learning Model for Predicting the Fatigue Life of Plain Concrete Under Cyclic Compression by Lucas Rodrigues Lunardi, Paulo Guilherme Cornélio, Lisiane Pereira Prado, Caio Gorla Nogueira, Emerson Felipe Felix

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Combination strategy of active learning for hyperspectral images classification by Ying CUI, Kai XU, Zhongjun LU, Shubin LIU, Liguo WANG

Subjects: “…active learning;ensemble learning;hyperspectral image;strategy combination…”
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