Resultados de búsqueda - Random forest algorithms

A spatially based quantile regression forest model for mapping rural land values. por Córdoba, Mariano, Carranza, Juan Pablo, Piumetto, Mario, Monzani, Federico, Balzarini, Mónica

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Estimating spatially distributed SOC sequestration potentials of sustainable land management practices in Ethiopia. por Abera, Wuletawu, Tamene, Lulseged, Abegaz, Assefa, Hailu, Habtamu, Piikki, Kristin, Söderström, Mats, Girvetz, Evan, Sommer, Rolf

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Comparison of multi-criteria and artificial intelligence models for land-subsidence susceptibility zonation. por Arabameri, Alireza, Chandra Pal, Subodh, Rezaie, Fatemeh, Chakrabortty, Rabin, Chowdhuri, Indrajit, Blaschke, Thomas, Thi Ngo, Phuong Thao

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Multiple method modelling reveals lack of robustness in natural resource management research. por Frey, Ulrich J.

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Machine learning models for streamflow regionalization in a tropical watershed. por Ferreira, Renan Gon, Silva, Demetrius David da, Elesbon, Abrahão Alexandre Alden, Fernandes-Filho, Elpídio Inácio, Veloso, Gustavo Vieira, Fraga, Micael de Souza, Ferreira, Lucas Borges

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Who's onboard? A predictive analysis of cooperative formation in commercial fisheries. por De Alessi, Michael, Melnychuk, Michael C., Wort, Edward, Hilborn, Ray

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Extrapolating canopy phenology information using Sentinel-2 data and the Google Earth Engine platform to identify the optimal dates for remotely sensed image acquisition of semiari... por Valderrama-Landeros, Luis, Flores-Verdugo, Francisco, Rodríguez-Sobreyra, Ranulfo, Kovacs, John M., Flores-de-Santiago, Francisco

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Developing a statistical-weighted index of biotic integrity for large-river ecological evaluations. por Li, Yi, Gao, Lin, Niu, Lihua, Zhang, Wenlong, Yang, Nan, Du, Jiming, Gao, Yu, Li, Jie

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Machine Learning in Optimising Nursing Care Delivery Models: An Empirical Analysis of Hospital Wards. por Aslan, Manar, Toros, Ergin

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Maintaining relevance in psychodynamic psychotherapy: A novel approach to discerning between effective vs. ineffective discourse correlated with better session outcomes. por Bar, Mor, Saad, Amit, Weiss, Noa, Mendlovic, Shlomo

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Responsibility Escalation: A Windfall for Cross‐Border E‐Commerce Pilot Areas. por Feng, Lingbing, Huang, Dasen, Zhou, Cheng, Xie, Junyu

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Maximising the ability of stimulus-frequency otoacoustic emissions to predict hearing status and thresholds using machine-learning models. por Liu, Yin, Xu, Runyi, Gong, Qin

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Machine learning method for predicting pacemaker implantation following transcatheter aortic valve replacement. por Truong, Vien T., Beyerbach, Daniel, Mazur, Wojciech, Wigle, Matthew, Bateman, Emma, Pallerla, Akhil, Ngo, Tam N.M., Shreenivas, Satya, Tretter, Justin T., Palmer, Cassady, Kereiakes, Dean J., Chung, Eugene S.

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Potential Major Depressive Disorder Biomarkers in Pediatric Population – a Pilot Study. por KRIVOSOVA, Michaela, GRENDAR, Marian, HRTANEK, Igor, ONDREJKA, Igor, TONHAJZEROVA, Ingrid, SEKANINOVA, Nikola, BONA OLEXOVA, Lucia, MOKRA, Daniela, MOKRY, Juraj

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Tubular gastric adenocarcinoma: machine learning-based CT texture analysis for predicting lymphovascular and perineural invasion. por Yardımcı, Aytül Hande, Koçak, Burak, Bektaş, Ceyda Turan, Sel, İpek, Yarıkkaya, Enver, Dursun, Nevra, Bektaş, Hasan, Afşar, Çiğdem Usul, Gürsu, Rıza Umar, Kılıçkesmez, Özgür, Turan Bektaş, Ceyda, Usul Afşar, Çiğdem

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Personalized machine learning approach to predict candidemia in medical wards. por Ripoli, Andrea, Sozio, Emanuela, Sbrana, Francesco, Bertolino, Giacomo, Pallotto, Carlo, Cardinali, Gianluigi, Meini, Simone, Pieralli, Filippo, Azzini, Anna Maria, Concia, Ercole, Viaggi, Bruno, Tascini, Carlo

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The Invasiveness Classification of Ground-Glass Nodules Using 3D Attention Network and HRCT. por Ni, Yangfan, Yang, Yuanyuan, Zheng, Dezhong, Xie, Zhe, Huang, Haozhe, Wang, Weidong

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Description of a New miRNA Signature for the Surgical Management of Thyroid Nodules. por Quiriny, Marie, Rodrigues Vitόria, Joel, Saiselet, Manuel, Dom, Geneviève, De Saint Aubain, Nicolas, Willemse, Esther, Digonnet, Antoine, Dequanter, Didier, Rodriguez, Alexandra, Andry, Guy, Detours, Vincent, Maenhaut, Carine

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Using Machine Learning to Fight Child Acute Malnutrition and Predict Weight Gain During Outpatient Treatment with a Simplified Combined Protocol. por Sánchez-Martínez, Luis Javier, Charle-Cuéllar, Pilar, Gado, Abdoul Aziz, Ousmane, Nassirou, Hernández, Candela Lucía, López-Ejeda, Noemí

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How can valid and reliable automatic formative assessment predict the acquisition of learning outcomes? por Divjak, Blaženka, Svetec, Barbi, Horvat, Damir

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