• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 445 matches

• 2025
• 
  Eleftherios Kouloumpris, Ioannis P. Vlahavas:
  Markowitz random forest: Weighting classification and regression trees with modern portfolio theory. Neurocomputing 620: 129191 (2025)
• 
  José Luis Corcuera Bárcena, Pietro Ducange, Francesco Marcelloni, Alessandro Renda:
  Increasing trust in AI through privacy preservation and model explainability: Federated Learning of Fuzzy Regression Trees. Inf. Fusion 113: 102598 (2025)
• 
  Luben M. C. Cabezas, Mateus P. Otto, Rafael Izbicki, Rafael Bassi Stern:
  Regression trees for fast and adaptive prediction intervals. Inf. Sci. 686: 121369 (2025)
• 2024
• 
  Wenxing Yu, Shin-Jae Lee, HyungJun Cho:
  Partial Least Squares Regression Trees for Multivariate Response Data With Multicollinear Predictors. IEEE Access 12: 36636-36644 (2024)
• 
  Eugenio Cesario, Salvatore Giampà, Enrico Baglione, Louise Cordrie, Jacopo Selva, Domenico Talia:
  Machine Learning for Tsunami Waves Forecasting Using Regression Trees. Big Data Res. 36: 100452 (2024)
• 
  Eugenio Cesario, Salvatore Giampà, Enrico Baglione, Louise Cordrie, Jacopo Selva, Domenico Talia:
  A parallel machine learning-based approach for tsunami waves forecasting using regression trees. Comput. Commun. 225: 217-228 (2024)
• 
  Mateus Maia, Keefe Murphy, Andrew C. Parnell:
  GP-BART: A novel Bayesian additive regression trees approach using Gaussian processes. Comput. Stat. Data Anal. 190: 107858 (2024)
• 
  Sharaf AlKheder:
  Experimental road safety study of the actual driver reaction to the street ads using eye tracking, multiple linear regression and decision trees methods. Expert Syst. Appl. 252: 124222 (2024)
• 
  Viktor Andonovikj, Pavle Boskoski, Saso Dzeroski, Biljana Mileva-Boshkoska:
  Survival analysis as semi-supervised multi-target regression for time-to-employment prediction using oblique predictive clustering trees. Expert Syst. Appl. 235: 121246 (2024)
• 
  Sohail Nizam, David C. Benkeser:
  Highly adaptive regression trees. Evol. Intell. 17(1): 535-547 (2024)
• 
  Alan Inglis, Andrew Parnell, Catherine Hurley:
  Visualisations for Bayesian Additive Regression Trees. J. Data Sci. Stat. Vis. 4(1) (2024)
• 
  Malte Nalenz, Julian Rodemann, Thomas Augustin:
  Learning de-biased regression trees and forests from complex samples. Mach. Learn. 113(6): 3379-3398 (2024)
• 
  Joshua Marvald, Tanzy Love:
  Detecting interactions using Bayesian additive regression trees. Pattern Anal. Appl. 27(4): 153 (2024)
• 
  Cheng-Yang Chen, Yu-Wei Chang:
  Missing data imputation using classification and regression trees. PeerJ Comput. Sci. 10: e2119 (2024)
• 
  Luis E. Nieto-Barajas:
  Multivariate and regression models for directional data based on projected Pólya trees. Stat. Comput. 34(1): 25 (2024)
• 
  Eoghan O'Neill:
  Type I Tobit Bayesian Additive Regression Trees for censored outcome regression. Stat. Comput. 34(4): 123 (2024)
• 
  Fernando Salazar, Joaquín Irazábal, André Conde:
  SOLDIER: SOLution for Dam behavior Interpretation and safety Evaluation with boosted Regression trees. SoftwareX 25: 101598 (2024)
• 
  John C. Yannotty, Thomas J. Santner, Richard J. Furnstahl, Matthew T. Pratola:
  Model Mixing Using Bayesian Additive Regression Trees. Technometrics 66(2): 196-207 (2024)
• 
  Xiubin Zhu, Xingchen Hu, Lan Yang, Witold Pedrycz, Zhiwu Li:
  A Development of Fuzzy-Rule-Based Regression Models Through Using Decision Trees. IEEE Trans. Fuzzy Syst. 32(5): 2976-2986 (2024)
• 
  Samantha Chen, Puoya Tabaghi, Yusu Wang:
  Learning Ultrametric Trees for Optimal Transport Regression. AAAI 2024: 20657-20665
• 
  Kei Sen Fong, Mehul Motani:
  Symbolic Regression Enhanced Decision Trees for Classification Tasks. AAAI 2024: 12033-12042
• 
  Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis:
  On the Computation of Contrastive Explanations for Boosted Regression Trees. ECAI 2024: 1083-1091
• 
  Alessandro D'Innocenzo, Francesco Smarra:
  Learning Piecewise ARX Models via Regression Trees with Probabilistic Guarantees. ECC 2024: 2090-2096
• 
  Kei Sen Fong, Mehul Motani:
  Enhancing Prediction, Explainability, Inference and Robustness of Decision Trees via Symbolic Regression-Discovered Splits. GECCO Companion 2024: 37-38
• 
  Mythili Basangoudar, Carlos D. Paternina-Arboleda, Dayana Agudelo-Castañeda:
  Predictive Modeling Performance Comparison of Port-Based Hydrocarbon Emissions Using Multiple Linear Regression, Decision Trees and Random Forest. ICCL 2024: 299-314
• 
  Mim van den Bos, Jacobus G. M. van der Linden, Emir Demirovic:
  Piecewise Constant and Linear Regression Trees: An Optimal Dynamic Programming Approach. ICML 2024
• 
  Valentin Lemaire, Gaël Aglin, Siegfried Nijssen:
  Interpretable Quantile Regression by Optimal Decision Trees. IDA (2) 2024: 210-222
• 
  T. Gale, M. Guid:
  Argument-Based Regression Trees. MIPRO 2024: 1-6
• 
  Hsin-Yu Chen, Cheng-Te Li, Ting-Yu Chen:
  Skewness-aware Boosting Regression Trees for Customer Contribution Prediction in Financial Precision Marketing. WWW (Companion Volume) 2024: 461-470
• 
  Luben M. C. Cabezas, Mateus P. Otto, Rafael Izbicki, Rafael Bassi Stern:
  Regression Trees for Fast and Adaptive Prediction Intervals. CoRR abs/2402.07357 (2024)

skipping 415 more matches