Works matching DE "REGRESSION trees"

Results: 2598

Application of Machine Learning Methods for Gravity Anomaly Prediction.

Published in:

Geosciences (2076-3263), 2025, v. 15, n. 5, p. 175, doi. 10.3390/geosciences15050175

By:

Zhanakulova, Katima;
Adebiyet, Bakhberde;
Orynbassarova, Elmira;
Yerzhankyzy, Ainur;
Kassymkanova, Khaini-Kamal;
Abdykalykova, Roza;
Zakariya, Maksat

Publication type:

Article

Using Long‐Term Ecological Datasets to Unravel the Impacts of Short‐Term Meteorological Disturbances on Phytoplankton Communities.

Published in:

Freshwater Biology, 2025, v. 70, n. 5, p. 1, doi. 10.1111/fwb.70023

By:

Tran‐Khac, Viet;
Doubek, Jonathan P.;
Patil, Vijay;
Stockwell, Jason D.;
Adrian, Rita;
Chang, Chun‐Wei;
Dur, Gaël;
Lewandowska, Aleksandra;
Rusak, James A.;
Salmaso, Nico;
Straile, Dietmar;
Thackeray, Stephen J.;
Venail, Patrick;
Bhattacharya, Ruchi;
Brentrup, Jennifer;
Bruel, Rosalie;
Feuchtmayr, Heidrun;
Gessner, Mark O.;
Grossart, Hans‐Peter;
Ibelings, Bastiaan W.

Publication type:

Article

A bootstrap procedure to estimate the causal effect of a public policy, considering overlap and imperfect compliance.

Published in:

Journal of Applied Statistics, 2025, v. 52, n. 7, p. 1470, doi. 10.1080/02664763.2024.2428994

By:

Cabras, Stefano

Publication type:

Article

Net Losses and the Relationship between Auditor Independence and Client Importance: Evidence from a Cubist Regression-Tree Model.

Published in:

Journal of Emerging Technologies in Accounting, 2017, v. 14, n. 1, p. 13, doi. 10.2308/jeta-51673

By:

Yu-Cheng Lin;
Yu-Hsin Lu;
Fang-Chi Lin;
Yi-Chen Lu

Publication type:

Article

Native American landscape modification in pre-settlement south-west Georgia.

Published in:

Landscape History, 2020, v. 41, n. 1, p. 57, doi. 10.1080/01433768.2020.1753983

By:

Fern, Rachel R.;
Stober, Jonathan M.;
Morris, Max A.;
Rutledge, Brandon T.

Publication type:

Article

Infertility influencers: an analysis of information and influence in the fertility webspace.

Published in:

Journal of Assisted Reproduction & Genetics, 2020, v. 37, n. 6, p. 1371, doi. 10.1007/s10815-020-01799-2

By:

Blakemore, Jennifer K.;
Bayer, Arielle H.;
Smith, Meghan B.;
Grifo, James A.

Publication type:

Article

Fast linear model trees by PILOT.

Published in:

Machine Learning, 2024, v. 113, n. 9, p. 6561, doi. 10.1007/s10994-024-06590-3

By:

Raymaekers, Jakob;
Rousseeuw, Peter J.;
Verdonck, Tim;
Yao, Ruicong

Publication type:

Article

Coefficient tree regression: fast, accurate and interpretable predictive modeling.

Published in:

Machine Learning, 2024, v. 113, n. 7, p. 4723, doi. 10.1007/s10994-021-06091-7

By:

Sürer, Özge;
Apley, Daniel W.;
Malthouse, Edward C.

Publication type:

Article

Learning de-biased regression trees and forests from complex samples.

Published in:

Machine Learning, 2024, v. 113, n. 6, p. 3379, doi. 10.1007/s10994-023-06439-1

By:

Nalenz, Malte;
Rodemann, Julian;
Augustin, Thomas

Publication type:

Article

logicDT: a procedure for identifying response-associated interactions between binary predictors.

Published in:

Machine Learning, 2024, v. 113, n. 2, p. 933, doi. 10.1007/s10994-023-06488-6

By:

Lau, Michael;
Schikowski, Tamara;
Schwender, Holger

Publication type:

Article

SETAR-Tree: a novel and accurate tree algorithm for global time series forecasting.

Published in:

Machine Learning, 2023, v. 112, n. 7, p. 2555, doi. 10.1007/s10994-023-06316-x

By:

Godahewa, Rakshitha;
Webb, Geoffrey I.;
Schmidt, Daniel;
Bergmeir, Christoph

Publication type:

Article

Double random forest.

Published in:

Machine Learning, 2020, v. 109, n. 8, p. 1569, doi. 10.1007/s10994-020-05889-1

By:

Han, Sunwoo;
Kim, Hyunjoong;
Lee, Yung-Seop

Publication type:

Article

Incremental predictive clustering trees for online semi-supervised multi-target regression.

Published in:

Machine Learning, 2020, v. 109, n. 11, p. 2121, doi. 10.1007/s10994-020-05918-z

By:

Osojnik, Aljaž;
Panov, Panče;
Džeroski, Sašo

Publication type:

Article

Transfer learning by mapping and revising boosted relational dependency networks.

Published in:

Machine Learning, 2020, v. 109, n. 7, p. 1435, doi. 10.1007/s10994-020-05871-x

By:

Azevedo Santos, Rodrigo;
Paes, Aline;
Zaverucha, Gerson

Publication type:

Article

Sparse hierarchical regression with polynomials.

Published in:

Machine Learning, 2020, v. 109, n. 5, p. 973, doi. 10.1007/s10994-020-05868-6

By:

Bertsimas, Dimitris;
Van Parys, Bart

Publication type:

Article

CaDET: interpretable parametric conditional density estimation with decision trees and forests.

Published in:

Machine Learning, 2019, v. 108, n. 8/9, p. 1613, doi. 10.1007/s10994-019-05820-3

By:

Cousins, Cyrus;
Riondato, Matteo

Publication type:

Article

Ensembles for multi-target regression with random output selections.

Published in:

Machine Learning, 2018, v. 107, n. 11, p. 1673, doi. 10.1007/s10994-018-5744-y

By:

Breskvar, Martin;
Kocev, Dragi;
Džeroski, Sašo

Publication type:

Article

Boosted multivariate trees for longitudinal data.

Published in:

Machine Learning, 2017, v. 106, n. 2, p. 277, doi. 10.1007/s10994-016-5597-1

By:

Pande, Amol;
Li, Liang;
Rajeswaran, Jeevanantham;
Ehrlinger, John;
Kogalur, Udaya;
Blackstone, Eugene;
Ishwaran, Hemant

Publication type:

Article

Learning (predictive) risk scores in the presence of censoring due to interventions.

Published in:

Machine Learning, 2016, v. 102, n. 3, p. 323, doi. 10.1007/s10994-015-5527-7

By:

Dyagilev, Kirill;
Saria, Suchi

Publication type:

Article

Model selection in multivariate adaptive regression splines (MARS) using information complexity as the fitness function.

Published in:

Machine Learning, 2015, v. 101, n. 1-3, p. 35, doi. 10.1007/s10994-014-5440-5

By:

Bozdogan, Hamparsum;
Kartal Koc, Elcin

Publication type:

Article

The effect of splitting on random forests.

Published in:

Machine Learning, 2015, v. 99, n. 1, p. 75, doi. 10.1007/s10994-014-5451-2

By:

Ishwaran, Hemant

Publication type:

Article

Prediction of Subway Vibration Values on the Ground Level Using Machine Learning.

Published in:

Geotechnical & Geological Engineering, 2023, v. 41, n. 6, p. 3753, doi. 10.1007/s10706-023-02486-6

By:

Mark, Miller;
Yong, Fang;
Hu, Luo;
Sergey, Kharitonov;
Vladimir, Akulich;
Evgeniy, Titov

Publication type:

Article

Indirect Estimation of Rock Uniaxial Compressive Strength from Simple Index Tests: Review and Improved Least Squares Regression Tree Predictive Model.

Published in:

Geotechnical & Geological Engineering, 2021, v. 39, n. 5, p. 3843, doi. 10.1007/s10706-021-01731-0

By:

Tang, Zhu;
Li, Shuqing;
Huang, Shouqing;
Huang, Fei;
Wan, Fangfang

Publication type:

Article

Slope Stability Analysis Using Rf, Gbm, Cart, Bt and Xgboost.

Published in:

Geotechnical & Geological Engineering, 2021, v. 39, n. 5, p. 3741, doi. 10.1007/s10706-021-01721-2

By:

Bharti, Jayanti Prabha;
Mishra, Pratishtha;
moorthy, Usha;
Sathishkumar, V. E.;
Cho, Yongyun;
Samui, Pijush

Publication type:

Article

Examining Feasibility of Developing a Rock Mass Classification for Hard Rock TBM Application Using Non-linear Regression, Regression Tree and Generic Programming.

Published in:

Geotechnical & Geological Engineering, 2018, v. 36, n. 2, p. 1145, doi. 10.1007/s10706-017-0380-z

By:

Salimi, A.;
Rostami, J.;
Moormann, C.;
Hassanpour, J.

Publication type:

Article

Urban expansion modeling using an enhanced decision tree algorithm.

Published in:

GeoInformatica, 2021, v. 25, n. 4, p. 715, doi. 10.1007/s10707-019-00377-8

By:

Karimi, Firoozeh;
Sultana, Selima;
Babakan, Ali Shirzadi;
Suthaharan, Shan

Publication type:

Article

Spatial distribution of root lesion nematodes (Pratylenchus spp.) in a long-term no-till cropping system and their relationship with soil and landscape properties.

Published in:

European Journal of Plant Pathology, 2018, v. 150, n. 4, p. 1011, doi. 10.1007/s10658-017-1341-3

By:

Kandel, Shyam L.;
Smiley, Richard W.;
Garland-Campbell, Kimberly;
Elling, Axel A.;
Huggins, David;
Paulitz, Timothy C.

Publication type:

Article

Prediction and analysis of preparation of cellulose nanocrystals with machine learning.

Published in:

Cellulose, 2023, v. 30, n. 10, p. 6273, doi. 10.1007/s10570-023-05260-2

By:

Wang, Hongzhen;
Du, Qin;
Liu, Yalin;
Cheng, Shijie

Publication type:

Article

An absolute magnitude deviation of HRV for the prediction of prediabetes with combined artificial neural network and regression tree methods.

Published in:

Artificial Intelligence Review, 2022, v. 55, n. 3, p. 2221, doi. 10.1007/s10462-021-10040-0

By:

Igbe, Tobore;
Li, Jingzhen;
Kandwal, Abhishek;
Omisore, Olatunji Mumini;
Yetunde, Efetobore;
Yuhang, Liu;
Wang, Lei;
Nie, Zedong

Publication type:

Article

Identifying suitable boreholes for irrigation in the bedrock regions of the Sahel.

Published in:

Irrigation & Drainage, 2024, v. 73, n. 5, p. 1754, doi. 10.1002/ird.3024

By:

Keïta, Amadou;
Faye, Moussa Diagne;
Hayde, László G.;
Damba, Djim Doumbe;
Yacouba, Hamma

Publication type:

Article

Stratifying Mortality Risk in Intensive Care: A Comprehensive Analysis Using Cluster Analysis and Classification and Regression Tree Algorithms.

Published in:

Intensive Care Research, 2024, v. 4, n. 2, p. 116, doi. 10.1007/s44231-024-00064-9

By:

Romanelli, Antonio;
Palmese, Salvatore;
De Vita, Serena;
Calicchio, Alessandro;
Gammaldi, Renato

Publication type:

Article

On a method for constructing ensembles of regression models.

Published in:

Automation & Remote Control, 2013, v. 74, n. 10, p. 1630, doi. 10.1134/S0005117913100044

By:

Burnaev, E.;
Prikhod'ko, P.

Publication type:

Article

Comparing Random Forest with Logistic Regression for Predicting Class-Imbalanced Civil War Onset Data.

Published in:

Political Analysis, 2016, v. 24, n. 1, p. 87, doi. 10.1093/pan/mpv024

By:

Muchlinski, David;
Siroky, David;
Jingrui He;
Kocher, Matthew

Publication type:

Article

A knowledge-based approach for predicting gene–disease associations.

Published in:

Bioinformatics, 2016, v. 32, n. 18, p. 2831, doi. 10.1093/bioinformatics/btw358

By:

Hongyi Zhou;
Skolnick, Jeffrey

Publication type:

Article

Selection of models for the analysis of risk-factor trees: leveraging biological knowledge to mine large sets of risk factors with application to microbiome data.

Published in:

Bioinformatics, 2015, v. 31, n. 10, p. 1607, doi. 10.1093/bioinformatics/btu855

By:

Qunyuan Zhang;
Abel, Haley;
Wells, Alan;
Lenzini, Petra;
Gomez, Felicia;
Province, Michael A.;
Templeton, Alan A.;
Weinstock, George M.;
Salzman, Nita H.;
Borecki, Ingrid B.

Publication type:

Article

Network Screening on Low-Volume Roads Using Risk Factors.

Published in:

Future Transportation, 2024, v. 4, n. 1, p. 257, doi. 10.3390/futuretransp4010013

By:

Huda, Kazi Tahsin;
Al-Kaisy, Ahmed

Publication type:

Article

Winter Road Friction Estimations via Multi-Source Road Weather Data—A Case Study of Alberta, Canada.

Published in:

Future Transportation, 2022, v. 2, n. 4, p. 970, doi. 10.3390/futuretransp2040054

By:

Ding, Xueru;
Kwon, Tae J.

Publication type:

Article

Regression tree modelling to predict total average extra costs in household spending during COVID-19 pandemic.

Published in:

Bulletin of the National Research Centre, 2021, v. 45, n. 1, p. 1, doi. 10.1186/s42269-021-00585-z

By:

Lotfy, Nesma

Publication type:

Article

NUTRITIONAL BEHAVIOUR OF HOUSEHOLDS: AN ANALYSIS OF SLOVAK CONSUMERS.

Published in:

Forum Scientiae Oeconomia, 2021, v. 9, n. 2, p. 73, doi. 10.23762/FSO_VOL9_NO2_4

By:

KITA, PAVOL;
MACIEJEWSKI, GRZEGORZ;
ŽAMBOCHOVÁ, MARTA;
STRELINGER, JÁN;
MAZALÁNOVÁ, VERONIKA KITOVÁ

Publication type:

Article

Physiological Signal Analysis and Stress Classification from VR Simulations Using Decision Tree Methods.

Published in:

Bioengineering (Basel), 2023, v. 10, n. 7, p. 766, doi. 10.3390/bioengineering10070766

By:

Ishaque, Syem;
Khan, Naimul;
Krishnan, Sridhar

Publication type:

Article

Learning Cephalometric Landmarks for Diagnostic Features Using Regression Trees.

Published in:

Bioengineering (Basel), 2022, v. 9, n. 11, p. 617, doi. 10.3390/bioengineering9110617

By:

Suhail, Sameera;
Harris, Kayla;
Sinha, Gaurav;
Schmidt, Maayan;
Durgekar, Sujala;
Mehta, Shivam;
Upadhyay, Madhur

Publication type:

Article

Artificial intelligence‐based super learner approach for prediction and optimization of biodiesel synthesis—A case of waste utilization.

Published in:

International Journal of Energy Research, 2022, v. 46, n. 14, p. 20519, doi. 10.1002/er.7764

By:

Zakir Hossain, S. M.;
Sultana, Nahid;
Irfan, Muhammad Faisal;
Haque, S. Manirul;
Nasr, Nawaf;
Razzak, Shaikh Abdur

Publication type:

Article

Prediction of burn‐up nucleus density based on machine learning.

Published in:

International Journal of Energy Research, 2021, v. 45, n. 9, p. 14052, doi. 10.1002/er.6660

By:

Lei, Ji‐Chong;
Zhou, Jian‐Dong;
Zhao, Ya‐Nan;
Chen, Zhen‐Ping;
Zhao, Peng‐Cheng;
Xie, Chao;
Ni, Zi‐Ning;
Yu, Tao;
Xie, Jin‐Sen

Publication type:

Article

The influence of stream nutrients and habitat on three biological assemblages.

Published in:

Hydrobiologia, 2025, v. 852, n. 1, p. 89, doi. 10.1007/s10750-024-05680-6

By:

Munn, Mark D.;
Waite, Ian;
Sheibley, Richard W.;
Journey, Celeste

Publication type:

Article

Submerged macrophytes in Danish lakes: impact of morphological and chemical factors on abundance and species richness.

Published in:

Hydrobiologia, 2022, v. 849, n. 17/18, p. 3789, doi. 10.1007/s10750-021-04759-8

By:

Søndergaard, Martin;
Davidson, Thomas A.;
Lauridsen, Torben L.;
Johansson, Liselotte S.;
Jeppesen, Erik

Publication type:

Article

Dry phase duration and periodicity alter clitellate communities in central European intermittent streams.

Published in:

Hydrobiologia, 2022, v. 849, n. 14, p. 3245, doi. 10.1007/s10750-022-04933-6

By:

Schenková, Jana;
Horsák, Michal;
Polášek, Marek;
Pařil, Petr

Publication type:

Article

Landscape associations with native and invasive freshwater mussels.

Published in:

Hydrobiologia, 2022, v. 849, n. 11, p. 2449, doi. 10.1007/s10750-022-04850-8

By:

Cushway, Kiara C.;
Ring, Nathan S.;
Patton, David K.;
Woolnough, Daelyn A.

Publication type:

Article

Movement of non-native rainbow trout in an estuary with periodic summer hypoxia.

Published in:

Hydrobiologia, 2021, v. 848, n. 17, p. 4001, doi. 10.1007/s10750-021-04619-5

By:

Roloson, Scott D.;
Coffin, Michael R. S.;
Knysh, Kyle M.;
van den Heuvel, Michael R.

Publication type:

Article

A Comparative Assessment Between Three Machine Learning Models and Their Performance Comparison by Bivariate and Multivariate Statistical Methods in Groundwater Potential Mapping.

Published in:

Water Resources Management, 2015, v. 29, n. 14, p. 5217, doi. 10.1007/s11269-015-1114-8

By:

Naghibi, Seyed;
Pourghasemi, Hamid

Publication type:

Article

More water, less light: how to improve silver fir seeding to convert Norway spruce monocultures into mixed stands in a drier region of Germany.

Published in:

Forestry: An International Journal of Forest Research, 2024, v. 97, n. 4, p. 615, doi. 10.1093/forestry/cpad069

By:

Schattenberg, Christian;
Stritih, Ana;
Thom, Dominik

Publication type:

Article