Search Results - Random forest algorithms

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    Analysis of spatial heterogeneity and influencing factors of carbon emission efficiency at the provincial level in China based on machine learning. by Dai, Xinglan, Zhang, Ruohan, Zu, Zishuai, Wang, Ying

    Published in Journal of Environmental Management (Apr2026)

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    Deciphering environmental determinants of soil metals in dust-influenced arid soils through interpretable models across data-availability scenarios. by Ebrahimi-Khusfi, Zohre, Zhao, Shuai, Ayoubi, Shamsollah, Nafarzadegan, Ali Reza, Ghouhestani, Mahboube

    Published in Journal of Environmental Management (Apr2026)

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    Towards operational benthic habitat monitoring: Integrating Sentinel-2, bathymetry, and environmental drivers in Port Phillip Bay, Australia. by Odebiri, Omosalewa, Young, Mary

    Published in Journal of Environmental Management (Apr2026)

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    Comparing two scales of watershed ecosystem services and their influencing factors: A case study of the Dongjiang River Basin. by Liu, Liuhan, Hou, Yin, Liu, Yiming, Zeng, Hui

    Published in Journal of Environmental Management (Apr2026)

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    BORSA ENDEKS YÖNÜNÜN AĞAÇ TABANLI TOPLULUK MAKİNE ÖĞRENMESİ YÖNTEMLERİ İLE TAHMİNİ: BİST-100 ÖRNEĞİ. by BÜYÜKKÖR, Yasin, DOĞAN, Seyyide


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    Predicting Factors Affecting Lymph Node Involvement in Breast Cancer Using Random Forest Approaches. by Zamaninasab, Fatemeh, Fendereski, Afsaneh, Zamaninasab, Zahra, Godazandeh, Gholamali, Charati, Jamshid Yazdani


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    Predicting Order Cancellations for E-Commerce Domain: A Proposed Model Based on Retailing Experience. by ŞAHİNBAŞ, Kevser


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    Wearable Sensing and Mining of the Informativeness of Older Adults' Physiological, Behavioral, and Cognitive Responses to Detect Demanding Environmental Conditions. by Torku, Alex, Chan, Albert P. C., Yung, Esther H. K., Seo, JoonOh, Antwi-Afari, Maxwell F.

    Published in Environment & Behavior (Jul2022)

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    Sosyal Medyada Duygu Analizi: COVID-19 Sürecinde 5G Algısı. by Çakmak, Elçin Timur, Oğuzlar, Ayşe


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    For whom should psychotherapy focus on problem coping? A machine learning algorithm for treatment personalization. by Gómez Penedo, Juan Martin, Schwartz, Brian, Giesemann, Julia, Rubel, Julian A., Deisenhofer, Anne-Katharina, Lutz, Wolfgang

    Published in Psychotherapy Research (Feb 2022)

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    Exploring machine learning techniques to predict deforestation to enhance the decision‐making of road construction projects. by Larrea‐Gallegos, Gustavo, Vázquez‐Rowe, Ian

    Published in Journal of Industrial Ecology (Feb2022)

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    Seeing the Forest for the Trees: Predicting Attendance in Trials for Co-Occurring PTSD and Substance Use Disorders With a Machine Learning Approach. by López-Castro, Teresa, Zhao, Yihong, Fitzpatrick, Skye, Ruglass, Lesia M., Hien, Denise A.


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    Assessing the Impact of Ferry Transit on Urban Crime. by Weber, Bryan, Cappellari, Paolo

    Published in Urban Affairs Review (Nov2023)

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    RafterNet: Probabilistic Predictions in Multi-Response Regression. by Hofert, Marius, Prasad, Avinash, Zhu, Mu

    Published in American Statistician (Nov2023)

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    Spatiotemporal Modeling of the Association between Neighborhood Factors and COVID-19 Incidence Rates in Scotland. by Wang, Ruoyu, Clemens, Tom, Douglas, Margaret, Keller, Markéta, van der Horst, Dan

    Published in Professional Geographer (2023)

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    Text mining letters from financial regulators to firms they supervise. by Bholat, David, Brookes, James

    Published in Digital Scholarship in the Humanities (Dec2020)

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    Machine Learning-Based Classification of Alertness Levels in Elite Shooting Athletes Using Heart Rate Variability. by Lu, Jiaojiao, Qiu, Jun, An, Yan

    Published in Journal of Sports Science & Medicine (Jun2026)

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    research tables/charts Journal Article
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    Identifying best fall-related balance factors and robotic-assisted gait training attributes in 105 post-stroke patients using clinical machine learning models. by Kim, Heejun, Shin, Jiwon, Kim, Yunhwan, Lee, Yongseok, You, Joshua H.

    Published in NeuroRehabilitation (2024)

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    Detecting Narcissism From Older Adults' Daily Language Use: A Machine Learning Approach. by Zhang, Shiyang, Fingerman, Karen L, Birditt, Kira S


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    Fixed Effects or Mixed Effects Classifiers? Evidence From Simulated and Archival Data. by Mangino, Anthony A., Bolin, Jocelyn H., Finch, W. Holmes


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