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Evaluating the performance of off-the-shelf sentiment dictionaries in autobiographical narratives using supervised machine learning ...

• Authors : Morales-Valiente, Claudia

Subjects: autobiographical narrations; qualitative analysis; sentiment analysis

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Binary or Integer Chromosome: Which Is the Best Structure for Supervised Machine Learning Using Genetic Algorithms?

• Authors : Alexandre Henrick da Silva Alves; Guilherme Antonio Coelho Neto; Matheus de Souza Gomes

Subjects: supervised machine learning; genetic algorithms; binary chromosome

• Source: Applied Sciences, Vol 15, Iss 5, p 2608 (2025)

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A Supervised Machine Learning Approach for Structural Overload Classification in Railway Bridges using Weigh-in-Motion Data

• Authors : Le, N.T.; Keenan, M.; Nguyen, A.

Subjects: Weigh-in-Motion; Axle Load Combination; Supervised Machine Learning

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Advancing Supervised Machine Learning for scRNA-seq Data Analysis

• Authors : Lin, Xin; Lyu, Minjie; Qiu, Tian-yi ...

Subjects: supervised machine learning; single cell transcriptome; transcriptome database

• Source: 5th Belgrade Bioinformatics Conference

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Integration of Unsupervised and Supervised Machine Learning Models for Single/Multiple Leak Detection and Localization Using Minimal Sensor Data

• Authors : Al-Ammari, W; Sleiti, Ahmad Khalaf; Hamilton, Matthew

• Source: Al-Ammari, W, Sleiti, A K, Hamilton, M, Ferroudji1, H, Rezaei Gomari, S, Hassan , I, Hassan, R & Rahman, M A 2025, 'Integration of Unsupervised and Supervised

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Analyzing Unimproved Drinking Water Sources and Their Determinants Using Supervised Machine Learning: Evidence from the Somaliland Demographic Health Survey 2020

• Authors : Hibak M. Ismail; Abdisalam Hassan Muse; Mukhtar Abdi Hassan

Subjects: unimproved water sources; supervised machine learning; Somalilandagris

• Source: Water ; Volume 16 ; Issue 20 ; Pages: 2986

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Enhancing microgrid energy management through solar power uncertainty mitigation using supervised machine learning

• Authors : Rasha Elazab; Ahmed Abo Dahab; Maged Abo Adma

Subjects: Solar radiation prediction; Supervised machine learning; Neural networks

• Source: Energy Informatics, Vol 7, Iss 1, Pp 1-26 (2024)

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Cutting Through the Comment Chaos : A Supervised Machine Learning Approach to Identifying Relevant YouTube Comments

• Authors : Möller, A.M.; Vermeer, Susan A.M.; Baumgartner, Susanne E.

Subjects: Supervised Machine Learning; YouTube; music videos

• Source: Social Science Computer Review 42 (2024) 1 ; ISSN: 0894-4393

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Performance and clinical utility of a new supervised machine-learning pipeline in detecting rare ciliopathy patients based on deep phenotyping from electronic health records and semantic similarity

• Authors : Faviez, Carole; Vincent, Marc; Garcelon, Nicolas ...

Subjects: Diagnosis support Electronic health record Supervised machine learning Semantic similarity Imbalanced dataset Rare disease; Diagnosis support; Electronic health record

• Source: ISSN: 1750-1172 ; Orphanet Journal of Rare Diseases ; https://hal.sorbonne-universite.fr/hal-04455861 ; Orphanet Journal of Rare Diseases, 2024, 19 (1), pp.55. ⟨10.1186/s13023-024-03063-7⟩.

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Pemanfaatan Supervised Machine Learning untuk Prediksi Tingkat Kebugaran Jasmani Berdasarkan Data TKJI Remaja di Kota Bandung

• Authors : Wibowo, Setyo Wahyu; Damayanti, Imas; Haryono, Tono

Subjects: Supervised Machine Learning; Prediksi; TKJI

• Source: Jurnal Dunia Pendidikan; Vol 5 No 2 (2024): Jurnal Dunia Pendidikan; 585-593 ; 2746-8674 ; 10.55081/jurdip.v5i2

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