Discovering interpretable structure in longitudinal predictors via coefficient trees

On optimal regression trees to detect critical intervals for multivariate functional data

(2023) Rafael Blanquero et al.   COMPUTERS & OPERATIONS RESEARCH

World-class interpretable poker

(2022) Dimitris Bertsimas et al.   MACHINE LEARNING

The tree based linear regression model for hierarchical categorical variables

(2022) Emilio Carrizosa et al.   EXPERT SYSTEMS WITH APPLICATIONS

Coefficient tree regression for generalized linear models

(2021) Özge Sürer et al.   Statistical Analysis and Data Mining

In Search for an Audience-Supported Business Model for Local Newspapers: Findings from Clickstream and Subscriber Data

(2021) Su Jung Kim et al.   Digital Journalism

Coefficient tree regression: fast, accurate and interpretable predictive modeling

(2021) Özge Sürer et al.   MACHINE LEARNING

Measure inducing classification and regression trees for functional data

(2021) Edoardo Belli et al.   Statistical Analysis and Data Mining

A scalable decision-tree-based method to explain interactions in dyadic data

(2019) Carlos Eiras-Franco et al.   DECISION SUPPORT SYSTEMS

Random forests for functional covariates

(2016) Annette Möller et al.   JOURNAL OF CHEMOMETRICS

A Novel Machine Learning Model for Estimation of Sale Prices of Real Estate Units

(2016) Mohammad Hossein Rafiei et al.   JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT

A Novel Machine Learning Model for Estimation of Sale Prices of Real Estate Units

(2016) Mohammad Hossein Rafiei et al.   JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT

Functional Data Analysis

(2016) Jane-Ling Wang et al.   Annual Review of Statistics and Its Application

The group exponential lasso for bi-level variable selection

(2015) Patrick Breheny   BIOMETRICS

Time series representation and similarity based on local autopatterns

(2015) Mustafa Gokce Baydogan et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Homogeneity Pursuit

(2015) Zheng Tracy Ke et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Regularization Paths for Generalized Linear Models via Coordinate Descent

(2015) Jerome Friedman et al.   Journal of Statistical Software

Learning a symbolic representation for multivariate time series classification

(2014) Mustafa Gokce Baydogan et al.   DATA MINING AND KNOWLEDGE DISCOVERY

A Bag-of-Features Framework to Classify Time Series

(2013) M. G. Baydogan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Penalized methods for bi-level variable selection

(2013) Patrick Breheny et al.   Statistics and Its Interface

Group variable selection via a hierarchical lasso and its oracle property

(2013) Nengfeng Zhou et al.   Statistics and Its Interface

Time series shapelets: a novel technique that allows accurate, interpretable and fast classification

(2010) Lexiang Ye et al.   DATA MINING AND KNOWLEDGE DISCOVERY

The composite absolute penalties family for grouped and hierarchical variable selection

(2009) Peng Zhao et al.   ANNALS OF STATISTICS

A group bridge approach for variable selection

(2009) J. Huang et al.   BIOMETRIKA