On enhancing the explainability and fairness of tree ensembles - Emilio Carrizosa; Kseniia Kurishchenko; Dolores Romero Morales (Eur. J. Oper. Res., 2025)

A new model for counterfactual analysis for functional data - Emilio Carrizosa; Jasone Ramírez-Ayerbe; Dolores Romero Morales (Adv. Data Anal. Classif., 2024)

A binarization approach to model interactions between categorical predictors in Generalized Linear Models - Emilio Carrizosa; Marcela Galvis Restrepo; Dolores Romero Morales (Appl. Intell., 2024)

Counterfactual analysis and target setting in benchmarking - Peter Bogetoft; Jasone Ramírez-Ayerbe; Dolores Romero Morales (Eur. J. Oper. Res., 2024)

Supervised feature compression based on counterfactual analysis - Veronica Piccialli; Dolores Romero Morales; Cecilia Salvatore (Eur. J. Oper. Res., 2024)

Guest editorial to the special issue of the 32nd European Conference on Operational Research in Espoo (Finland) - Antti Punkka; Dolores Romero Morales (Eur. J. Oper. Res., 2024)

Mathematical optimization modelling for group counterfactual explanations - Emilio Carrizosa; Jasone Ramírez-Ayerbe; Dolores Romero Morales (Eur. J. Oper. Res., 2024)

Generating collective counterfactual explanations in score-based classification via mathematical optimization - Emilio Carrizosa; Jasone Ramírez-Ayerbe; Dolores Romero Morales (Expert Syst. Appl., 2024)

On mathematical optimization for clustering categories in contingency tables - Emilio Carrizosa; Vanesa Guerrero; Dolores Romero Morales (Adv. Data Anal. Classif., 2023)

On optimal regression trees to detect critical intervals for multivariate functional data - Rafael Blanquero; Emilio Carrizosa; Cristina Molero-Río; Dolores Romero Morales (Comput. Oper. Res., 2023)

On clustering and interpreting with rules by means of mathematical optimization - Emilio Carrizosa; Kseniia Kurishchenko; Alfredo Marín; Dolores Romero Morales (Comput. Oper. Res., 2023)

Generating collective counterfactual explanations in score-based classification via mathematical optimization - Emilio Carrizosa; Jasone Ramírez-Ayerbe; Dolores Romero Morales (CoRR, 2023)

On sparse optimal regression trees - Rafael Blanquero; Emilio Carrizosa; Cristina Molero-Río; Dolores Romero Morales (Eur. J. Oper. Res., 2022)

The tree based linear regression model for hierarchical categorical variables - Emilio Carrizosa; Laust Hvas Mortensen; Dolores Romero Morales; M. Remedios Sillero-Denamiel (Expert Syst. Appl., 2022)

Supervised Feature Compression based on Counterfactual Analysis - Veronica Piccialli; Dolores Romero Morales; Cecilia Salvatore (CoRR, 2022)

Optimal randomized classification trees - Rafael Blanquero; Emilio Carrizosa; Cristina Molero-Río; Dolores Romero Morales (Comput. Oper. Res., 2021)

On sparse ensemble methods: An application to short-term predictions of the evolution of COVID-19 - Sandra Benítez-Peña; Emilio Carrizosa; Vanesa Guerrero; María-Dolores Jiménez-Gamero; Belén Martín-Barragán; Cristina Molero-Río; Pepa Ramírez-Cobo; Dolores Romero Morales; M. Remedios Sillero-Denamiel (Eur. J. Oper. Res., 2021)

On clustering categories of categorical predictors in generalized linear models - Emilio Carrizosa; Marcela Galvis Restrepo; Dolores Romero Morales (Expert Syst. Appl., 2021)

On Clustering Categories of Categorical Predictors in Generalized Linear Models - Emilio Carrizosa; Marcela Galvis Restrepo; Dolores Romero Morales (CoRR, 2021)

Optimal randomized classification trees - Rafael Blanquero; Emilio Carrizosa; Cristina Molero-Río; Dolores Romero Morales (CoRR, 2021)

Sparsity in optimal randomized classification trees - Rafael Blanquero; Emilio Carrizosa; Cristina Molero-Río; Dolores Romero Morales (Eur. J. Oper. Res., 2020)

Sparsity in Optimal Randomized Classification Trees - Rafael Blanquero; Emilio Carrizosa; Cristina Molero-Río; Dolores Romero Morales (CoRR, 2020)

On Building Online Visualization Maps for News Data Streams by Means of Mathematical Optimization - Emilio Carrizosa; Vanesa Guerrero; Daniel Hardt; Dolores Romero Morales (Big Data, 2018)

On the time-consistent stochastic dominance risk averse measure for tactical supply chain planning under uncertainty - Laureano F. Escudero; Juan Francisco Monge; Dolores Romero Morales (Comput. Oper. Res., 2018)

On Mathematical Optimization for the visualization of frequencies and adjacencies as rectangular maps - Emilio Carrizosa; Vanesa Guerrero; Dolores Romero Morales (Eur. J. Oper. Res., 2018)

Visualizing data as objects by DC (difference of convex) optimization - Emilio Carrizosa; Vanesa Guerrero; Dolores Romero Morales (Math. Program., 2018)

Visualizing proportions and dissimilarities by Space-filling maps: A Large Neighborhood Search approach - Emilio Carrizosa; Vanesa Guerrero; Dolores Romero Morales (Comput. Oper. Res., 2017)

Strongly agree or strongly disagree?: Rating features in Support Vector Machines - Emilio Carrizosa; Amaya Nogales-Gómez; Dolores Romero Morales (Inf. Sci., 2016)

An SDP approach for multiperiod mixed 0-1 linear programming models with stochastic dominance constraints for risk management - Laureano F. Escudero; Juan Francisco Monge; Dolores Romero Morales (Comput. Oper. Res., 2015)

A nested heuristic for parameter tuning in Support Vector Machines - Emilio Carrizosa; Belen Martin-Barragan; Dolores Romero Morales (Comput. Oper. Res., 2014)

Revenue deficiency under second-price auctions in a supply-chain setting - Dolores Romero Morales; Richard Steinberg (Eur. J. Oper. Res., 2014)

Heuristic approaches for support vector machines with the ramp loss - Emilio Carrizosa; Amaya Nogales-Gómez; Dolores Romero Morales (Optim. Lett., 2014)

Supervised classification and mathematical optimization - Emilio Carrizosa; Dolores Romero Morales (Comput. Oper. Res., 2013)

Expected Future Value Decomposition Based Bid Price Generation for Large-Scale Network Revenue Management - Laureano F. Escudero; Juan F. Monge; Dolores Romero Morales; Jingbo Wang (Transp. Sci., 2013)

Detecting relevant variables and interactions in supervised classification - Emilio Carrizosa; Belen Martin-Barragan; Dolores Romero Morales (Eur. J. Oper. Res., 2011)

Forecasting cancellation rates for services booking revenue management using data mining - Dolores Romero Morales; Jingbo Wang (Eur. J. Oper. Res., 2010)

Binarized Support Vector Machines - Emilio Carrizosa; Belen Martin-Barragan; Dolores Romero Morales (INFORMS J. Comput., 2010)

Existence of equilibria in a decentralized two-level supply chain - Dolores Romero Morales; Dries Vermeulen (Eur. J. Oper. Res., 2009)

Multi-group support vector machines with measurement costs: A biobjective approach - Emilio Carrizosa; Belen Martin-Barragan; Dolores Romero Morales (Discret. Appl. Math., 2008)

A biobjective method for sample allocation in stratified sampling - Emilio Carrizosa; Dolores Romero Morales (Eur. J. Oper. Res., 2007)

A Heuristic Approach to the Multi-Period Single-Sourcing Problem with Production and Inventory Capacities and Perishability Constraints - Ravindra K. Ahuja; Wei Huang; H. Edwin Romeijn; Dolores Romero Morales (INFORMS J. Comput., 2007)

On the Selection of the Globally Optimal Prototype Subset for Nearest-Neighbor Classification - Emilio Carrizosa; Belen Martin-Barragan; Frank Plastria; Dolores Romero Morales (INFORMS J. Comput., 2007)

On solving the multi-period single-sourcing problem under uncertainty - Antonio Alonso-Ayuso; Laureano F. Escudero; Celeste Pizarro; H. Edwin Romeijn; Dolores Romero Morales (Comput. Manag. Sci., 2006)

Integrated Lot Sizing in Serial Supply Chains with Production Capacities - Stan P. M. van Hoesel; H. Edwin Romeijn; Dolores Romero Morales; Albert P. M. Wagelmans (Manag. Sci., 2005)

Asymptotic Analysis of a Greedy Heuristic for the Multi-Period Single-Sourcing Problem: The Acyclic Case - H. Edwin Romeijn; Dolores Romero Morales (J. Heuristics, 2004)

A Biobjective Model to Select Features with Good Classification Quality and Low Cost - Emilio Carrizosa; Belen Martin-Barragan; Dolores Romero Morales (Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 1-4 November 2004, Brighton, UK, 2004)

A Branch-and-Price Algorithm for the Multiperiod Single-Sourcing Problem - Richard Freling; H. Edwin Romeijn; Dolores Romero Morales; Albert P. M. Wagelmans (Oper. Res., 2003)

A probabilistic analysis of the multi-period single-sourcing problem - H. Edwin Romeijn; Dolores Romero Morales (Discret. Appl. Math., 2001)

Combining Minsum And Minmax: A Goal Programming Approach - Emilio Carrizosa; Dolores Romero Morales (Oper. Res., 2001)

Generating Experimental Data for the Generalized Assignment Problem - H. Edwin Romeijn; Dolores Romero Morales (Oper. Res., 2001)

Finding the principal points of a random variable - Emilio Carrizosa; Eduardo Conde; Antonia Castaño; Dolores Romero Morales (RAIRO Oper. Res., 2001)

A class of greedy algorithms for the generalized assignment problem - H. Edwin Romeijn; Dolores Romero Morales (Discret. Appl. Math., 2000)