ENSEMBLE MUSIC AS EDUCATIONAL AND COMMUNICATIVE RESOURCE. ONLINE SEMINAR REVIEW by Valentina L. Boiko, Svetlana A. Mitasova, Sergey G. Chaikin

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Volatile Organic Compounds for the Prediction of Lung Cancer by Using Ensembled Machine Learning Model and Feature Selection by Divya Khanna, Arun Kumar, Shahid Ahmad Bhat

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Label iteration-based clustering ensemble algorithm by HE Yulin, YANG Jin, HUANG Zhexue, YIN Jianfei

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Enhancing breast cancer prediction through stacking ensemble and deep learning integration by Fatih Gurcan

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HSTCN-NuSVC: A Homogeneous Stacked Deep Ensemble Learner for Classifying Human Actions Using Smartphones by Sarmela Raja Sekaran, Ying Han Pang, Ooi Shih Yin, Lim Zheng You

Subjects: “…deep ensemble learning…”
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Penyeimbangan Kelas SMOTE dan Seleksi Fitur Ensemble Filter pada Support Vector Machine untuk Klasifikasi Penyakit Liver by Muhammad Amir Nugraha, Muhammad Itqan Mazdadi, Andi Farmadi, Muliadi, Triando Hamonangan Saragih

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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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Predicted missing information biases ensemble perception of temporally ordered facial expressions by Jiahao Lu, Jun Wang

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The Grand Ensemble of Orly-Choisy-le-Roi: the Construction, Deconstruction and Reconstruction of a Neighbourhood by Caterina Quaglio

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Hybrid clustering strategies for effective oversampling and undersampling in multiclass classification by Amirreza Salehi, Majid Khedmati

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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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A data ensemble-based approach for detecting vocal disorders using replicated acoustic biomarkers from electroglottography by Lizbeth Naranjo, Carlos J. Pérez, Daniel F. Merino

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Kulturelle Diversität in der empirischen Rhythmusforschung. Drei Analysen eines Audio-Korpus von Percussion-Ensemblemusik aus Mali by Rainer Polak, Nori Jacoby, Justin London

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Intracranial aneurysm instability prediction model based on 4D-Flow MRI and HR-MRI by Fei Peng, Jiaxiang Xia, Fandong Zhang, Shiyu Lu, Hao Wang, Jiashu Li, Xinmin Liu, Yao Zhong, Jiahuan Guo, Yonghong Duan, Binbin Sui, Chuyang Ye, Yi Ju, Shuai Kang, Yizhou Yu, Xin Feng, Xingquan Zhao, Rui Li, Aihua Liu

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Blood Vessel Segmentation and Classification of Diabetic Retinopathy with Machine Learning-Based Ensemble Model by Cihan Akyel, Bünyamin Ciylan

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Stacking ensemble learning with heterogeneous models and selected feature subset for prediction of service trust in internet of medical things by Junyu Ren, Haibin Wan, Chaoyang Zhu, Tuanfa Qin

Subjects: “…ensemble learning…”
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Greedy Algorithm for Deriving Decision Rules from Decision Tree Ensembles by Evans Teiko Tetteh, Beata Zielosko

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Real-World Parkinson’s Hand Tremor Detection Using Ensemble Learning Techniques by Sungwook Hur, Jieming Zhang, Moon-Hyun Kim, Tai-Myoung Chung

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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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Image Quality Assessments by Leveraging Diverse Visual Tasks by Joonhee Lee, Dongwon Park, Se Young Chun

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