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

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 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 Biobjective Model to Select Features with Good Classification Quality and Low Cost. - Emilio Carrizosa; Belen Martin-Barragan; Dolores Romero Morales (ICDM, 2004)

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)

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)

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)

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)

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

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

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)

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

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)

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)

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)

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

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

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)

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

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 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)

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

On clustering and interpreting with rules by means of mathematical optimization. - Emilio Carrizosa; Kseniia Kurishchenko; Alfredo Marín 001; Dolores Romero Morales (Comput. Oper. Res., 2023)

Counterfactual analysis and target setting in benchmarking. - Peter Bogetoft; Jasone Ramírez-Ayerbe; 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)

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)

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

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

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