Works about REGRESSION trees
Results: 2486
Estimating stay cable vibration under typhoon with an explainable ensemble learning model.
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- Structure & Infrastructure Engineering: Maintenance, Management, Life-Cycle Design & Performance, 2024, v. 20, n. 12, p. 1912, doi. 10.1080/15732479.2023.2165121
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Assessing management factors limiting yield and starch content of cassava in the western Brazilian Cerrado.
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- Agronomy Journal, 2025, v. 117, n. 1, p. 1, doi. 10.1002/agj2.21722
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MACHINE LEARNING - BASED PREDICTION OF ALGERIAN UNIVERSITY STUDENT PARTICIPATION IN SPORTS ACTIVITIES.
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- Studia Universitatis Babes-Bolyai, Educatio Artis Gymnasticae, 2024, v. 69, n. 4, p. 93, doi. 10.24193/subbeag.69(4).32
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Big Mart Sales Prediction using Machine Learning.
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- EAI Endorsed Transactions on Internet of Things, 2024, v. 10, p. 1, doi. 10.4108/eetiot.6453
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Exploring the relationship between students´ experiences with online payment methods and financial competencies using a Bayesian nonparametric approach.
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- Large-scale Assessments in Education, 2025, v. 13, n. 1, p. 1, doi. 10.1186/s40536-025-00239-w
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What the Eyes Don't See: An Objective Assessment of Players' Contribution to Team Success in Men's Rugby League.
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- Research Quarterly for Exercise & Sport, 2025, v. 96, n. 1, p. 116, doi. 10.1080/02701367.2024.2373124
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Predicting climate-driven shift of the East Mediterranean endemic Cynara cornigera Lindl.
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- Frontiers in Plant Science, 2025, p. 1, doi. 10.3389/fpls.2025.1461639
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Exploring the Correlation of Physiological Stress Signals with Student Exam Performance: A Preliminary Study.
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- Applied Psychophysiology & Biofeedback, 2025, v. 50, n. 1, p. 149, doi. 10.1007/s10484-025-09685-2
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Dynamic Time-to-Event Models for Future Call Attempts Required Until Interview or Refusal.
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- Journal of Official Statistics (JOS), 2025, v. 41, n. 1, p. 433, doi. 10.1177/0282423X241300212
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The Spatial Distribution Dynamics of Shark Bycatch by the Longline Fishery in the Western and Central Pacific Ocean.
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- Journal of Marine Science & Engineering, 2025, v. 13, n. 2, p. 315, doi. 10.3390/jmse13020315
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Advanced Machine Learning Approaches for Predicting Machining Performance in Orthogonal Cutting Process.
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- Lubricants (2075-4442), 2025, v. 13, n. 2, p. 83, doi. 10.3390/lubricants13020083
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Epidemiology of reported serious adverse drug reactions due to anti-infectives using nationwide database of Thailand.
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- PLoS ONE, 2025, v. 20, n. 2, p. 1, doi. 10.1371/journal.pone.0318597
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Predictors of Sexual Harassment Using Classification and Regression Tree Analyses and Hurdle Models: A Direct Replication.
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- Journal of Sex Research, 2025, v. 62, n. 2, p. 165, doi. 10.1080/00224499.2023.2232354
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IMPUTATION IN U.S. MANUFACTURING DATA AND ITS IMPLICATIONS FOR PRODUCTIVITY DISPERSION.
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- Review of Economics & Statistics, 2018, v. 100, n. 3, p. 502, doi. 10.1162/rest_a_00678
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Struktur‐ und Daten‐basiertes Protein Engineering von Transaminasen zur Verbesserung von Aktivität und Stereoselektivität.
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- Angewandte Chemie, 2023, v. 135, n. 23, p. 1, doi. 10.1002/ange.202301660
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Analyzing distributed Spark MLlib regression algorithms for accuracy, execution efficiency and scalability using best subset selection approach.
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- Multimedia Tools & Applications, 2024, v. 83, n. 15, p. 44047, doi. 10.1007/s11042-023-17330-5
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Feature selection and computational optimization in high-dimensional microarray cancer datasets via InfoGain-modified bat algorithm.
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- Multimedia Tools & Applications, 2022, v. 81, n. 25, p. 36505, doi. 10.1007/s11042-022-13532-5
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Personalized saliency prediction using color spaces.
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- Multimedia Tools & Applications, 2022, v. 81, n. 13, p. 18181, doi. 10.1007/s11042-022-12341-0
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M-ary Random Forest - A new multidimensional partitioning approach to Random Forest.
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- Multimedia Tools & Applications, 2021, v. 80, n. 28/29, p. 35217, doi. 10.1007/s11042-020-10047-9
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Reducing Overreliance on Sovereign Credit Ratings: Which Model Serves Better?
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- Computational Economics, 2016, v. 48, n. 1, p. 59, doi. 10.1007/s10614-015-9534-3
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Extensive evaluation of machine learning models and data preprocessings for Raman modeling in bioprocessing.
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- Journal of Raman Spectroscopy, 2022, v. 53, n. 9, p. 1580, doi. 10.1002/jrs.6402
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Modeling transient fluid simulations with proper orthogonal decomposition and machine learning.
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- International Journal for Numerical Methods in Fluids, 2021, v. 93, n. 2, p. 396, doi. 10.1002/fld.4888
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Incidence and risk factors of new-onset hypertrophic pachymeningitis in patients with anti-neutrophil antibody-associated vasculitis: using logistic regression and classification tree analysis.
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- Clinical Rheumatology, 2019, v. 38, n. 4, p. 1039, doi. 10.1007/s10067-018-4372-z
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Throughfall under a teak plantation in Thailand: a multifactorial analysis on the effects of canopy phenology and meteorological conditions.
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- International Journal of Biometeorology, 2015, v. 59, n. 9, p. 1145, doi. 10.1007/s00484-014-0926-1
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A comparative study on machine learning modeling for mass movement susceptibility mapping (a case study of Iran).
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- Bulletin of Engineering Geology & the Environment, 2020, v. 79, n. 10, p. 5291, doi. 10.1007/s10064-020-01915-7
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Refining the predictive value of preoperative apparent diffusion coefficient (ADC) by whole-tumor analysis for facial nerve outcomes in vestibular schwannomas.
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- Acta Neurochirurgica, 2024, v. 166, n. 1, p. 1, doi. 10.1007/s00701-024-06059-1
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The predictive value of preoperative apparent diffusion coefficient (ADC) for facial nerve outcomes after vestibular schwannoma resection: clinical study.
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- Acta Neurochirurgica, 2020, v. 162, n. 8, p. 1995, doi. 10.1007/s00701-020-04338-1
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Posterior fossa meningiomas: perioperative predictors of extent of resection, overall survival and progression-free survival.
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- Acta Neurochirurgica, 2019, v. 161, n. 5, p. 1003, doi. 10.1007/s00701-019-03862-z
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Machine learning for characterizing growth in tourism employment in developing economies: an assessment of tourism employment in Sri Lanka.
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- Current Issues in Tourism, 2022, v. 25, n. 16, p. 2695, doi. 10.1080/13683500.2021.1991895
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Comparing Random Forest with Logistic Regression for Predicting Class-Imbalanced Civil War Onset Data.
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- Political Analysis, 2016, v. 24, n. 1, p. 87, doi. 10.1093/pan/mpv024
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The Interacting Influence of Fire and Tree Characteristics on Douglas-Fir Beetle Host-Tree Selection Five Years Post-Fire.
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- Fire (2571-6255), 2024, v. 7, n. 3, p. 64, doi. 10.3390/fire7030064
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Phenology and environmental determinants of explosive breeding in gliding treefrogs: diel timing of rainfall matters.
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- Behavioral Ecology, 2023, v. 34, n. 6, p. 1023, doi. 10.1093/beheco/arad072
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The Use of the Regression Tree and the Support Vector Machine in the Classification of the Iraqi Stock Exchange for the Period 2019-2020.
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- Journal of Economics & Administrative Sciences, 2022, v. 28, n. 132, p. 74, doi. 10.33095/jeas.v28i132.2273
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Bayesian Survival Tree Ensembles with Submodel Shrinkage.
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- Bayesian Analysis, 2022, v. 17, n. 3, p. 997, doi. 10.1214/21-BA1285
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Contributed Discussion.
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- Bayesian Analysis, 2018, v. 13, n. 3, p. 976
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基于梯度提升回归树的有机污染物生物-沉积物积累 因子预测模型.
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- Asian Journals of Ecotoxicology, 2023, v. 18, n. 4, p. 22, doi. 10.7524/AJE.1673-5897.20230215001
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A new conceptual framework for spatial predictive modelling of land degradation in a semiarid area.
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- Land Degradation & Development, 2022, v. 33, n. 17, p. 3358, doi. 10.1002/ldr.4391
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Assessment of land degradation using machine‐learning techniques: A case of declining rangelands.
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- Land Degradation & Development, 2021, v. 32, n. 3, p. 1452, doi. 10.1002/ldr.3794
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Abundance and spatial distribution of the main food species for mountain gorillas in the Virunga Massif, Rwanda.
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- Biodiversity & Conservation, 2019, v. 28, n. 13, p. 3597, doi. 10.1007/s10531-019-01838-0
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The effects of forest succession and grazing intensity on bird diversity and the conservation value of a Northern Adriatic karstic landscape.
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- Biodiversity & Conservation, 2018, v. 27, n. 8, p. 2003, doi. 10.1007/s10531-018-1521-2
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Case study of the implications of climate change for lichen diversity and distributions.
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- Biodiversity & Conservation, 2017, v. 26, n. 5, p. 1121, doi. 10.1007/s10531-016-1289-1
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Improved methods for measuring forest landscape structure: LiDAR complements field-based habitat assessment.
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- Biodiversity & Conservation, 2014, v. 23, n. 2, p. 289, doi. 10.1007/s10531-013-0600-7
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The potential of agroforestry to buffer climate change impacts on suitability of coffee and banana in Uganda.
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- Agroforestry Systems, 2024, v. 98, n. 6, p. 1555, doi. 10.1007/s10457-024-01025-3
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Economic importance of fuelwod in family resources is not a sufficient trigger factor for farmers to restore their parklands in south-western Niger.
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- Agroforestry Systems, 2023, v. 97, n. 3, p. 433, doi. 10.1007/s10457-022-00764-5
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Productivity estimate using regression and artificial neural networks in small familiar areas with agrosilvopastoral systems.
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- Agroforestry Systems, 2020, v. 94, n. 6, p. 2081, doi. 10.1007/s10457-020-00526-1
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Over-yielding in temperate silvopastures: a meta-analysis.
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- Agroforestry Systems, 2020, v. 94, n. 5, p. 1741, doi. 10.1007/s10457-020-00494-6
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An interpretable machine learning strategy for pursuing high piezoelectric coefficients in (K<sub>0.5</sub>Na<sub>0.5</sub>)NbO<sub>3</sub>-based ceramics.
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- NPJ Computational Materials, 2023, v. 9, n. 1, p. 1, doi. 10.1038/s41524-023-01187-1
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Modeling compaction parameters using support vector and decision tree regression algorithms.
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- Turkish Journal of Electrical Engineering & Computer Sciences, 2020, v. 28, n. 5, p. 3079, doi. 10.3906/elk-1905-179
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Consumer loans' first payment default detection: a predictive model.
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- Turkish Journal of Electrical Engineering & Computer Sciences, 2020, v. 28, n. 1, p. 167, doi. 10.3906/elk-1809-190
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PREDICTION OF PROXIMATE ANALYSIS AND PROCESS TEMPERATURE OF TORREFIED AND PYROLYZED WOOD PELLETS BY NEAR-INFRARED SPECTROSCOPY COUPLED WITH MACHINE LEARNING.
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- Mugla Journal of Science & Technology, 2020, v. 6, n. 2, p. 99, doi. 10.22531/muglajsci.785974
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