Dolores Romero Morales

According to our database, Dolores Romero Morales authored at least 46 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A new model for counterfactual analysis for functional data.

Emilio Carrizosa, Jasone Ramírez-Ayerbe, Dolores Romero Morales

Adv. Data Anal. Classif., December, 2024

A binarization approach to model interactions between categorical predictors in Generalized Linear Models.

Emilio Carrizosa, Marcela Galvis Restrepo, Dolores Romero Morales

Appl. Intell., September, 2024

Generating collective counterfactual explanations in score-based classification via mathematical optimization.

Emilio Carrizosa, Jasone Ramírez-Ayerbe, Dolores Romero Morales

Expert Syst. Appl., March, 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

Supervised feature compression based on counterfactual analysis.

Veronica Piccialli, Dolores Romero Morales, Cecilia Salvatore

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

Counterfactual analysis and target setting in benchmarking.

Peter Bogetoft, Jasone Ramírez-Ayerbe, Dolores Romero Morales

Eur. J. Oper. Res., 2024

2023

On clustering and interpreting with rules by means of mathematical optimization.

Emilio Carrizosa, Kseniia Kurishchenko, Alfredo Marín, Dolores Romero Morales

Comput. Oper. Res., June, 2023

On mathematical optimization for clustering categories in contingency tables.

Emilio Carrizosa, Vanesa Guerrero, Dolores Romero Morales

Adv. Data Anal. Classif., June, 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., April, 2023

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 sparse optimal regression trees.

Rafael Blanquero, Emilio Carrizosa, Cristina Molero-Río, Dolores Romero Morales

Eur. J. Oper. Res., 2022

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 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

Optimal randomized classification trees.

Rafael Blanquero, Emilio Carrizosa, Cristina Molero-Río, Dolores Romero Morales

Comput. Oper. Res., 2021

2020

Sparsity in optimal randomized classification trees.

Rafael Blanquero, Emilio Carrizosa, Cristina Molero-Río, Dolores Romero Morales

Eur. J. Oper. Res., 2020

2018

Visualizing data as objects by DC (difference of convex) optimization.

Emilio Carrizosa, Vanesa Guerrero, Dolores Romero Morales

Math. Program., 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

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 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

2017

Visualizing proportions and dissimilarities by Space-filling maps: A Large Neighborhood Search approach.

Emilio Carrizosa, Vanesa Guerrero, Dolores Romero Morales

Comput. Oper. Res., 2017

2016

Strongly agree or strongly disagree?: Rating features in Support Vector Machines.

Emilio Carrizosa, Amaya Nogales-Gómez, Dolores Romero Morales

Inf. Sci., 2016

2015

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

2014

Heuristic approaches for support vector machines with the ramp loss.

Emilio Carrizosa, Amaya Nogales-Gómez, Dolores Romero Morales

Optim. Lett., 2014

Revenue deficiency under second-price auctions in a supply-chain setting.

Dolores Romero Morales, Richard Steinberg

Eur. J. Oper. Res., 2014

A nested heuristic for parameter tuning in Support Vector Machines.

Emilio Carrizosa, Belen Martin-Barragan, Dolores Romero Morales

Comput. Oper. Res., 2014

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

Supervised classification and mathematical optimization.

Emilio Carrizosa, Dolores Romero Morales

Comput. Oper. Res., 2013

2011

Detecting relevant variables and interactions in supervised classification.

Emilio Carrizosa, Belen Martin-Barragan, Dolores Romero Morales

Eur. J. Oper. Res., 2011

2010

Binarized Support Vector Machines.

Emilio Carrizosa, Belen Martin-Barragan, Dolores Romero Morales

INFORMS J. Comput., 2010

Forecasting cancellation rates for services booking revenue management using data mining.

Dolores Romero Morales, Jingbo Wang

Eur. J. Oper. Res., 2010

2009

Existence of equilibria in a decentralized two-level supply chain.

Dolores Romero Morales, Dries Vermeulen

Eur. J. Oper. Res., 2009

2008

Multi-group support vector machines with measurement costs: A biobjective approach.

Emilio Carrizosa, Belen Martin-Barragan, Dolores Romero Morales

Discret. Appl. Math., 2008

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

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

A biobjective method for sample allocation in stratified sampling.

Emilio Carrizosa, Dolores Romero Morales

Eur. J. Oper. Res., 2007

2006

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

2005

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

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

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), 2004

2003

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

2001

Finding the principal points of a random variable.

Emilio Carrizosa, Eduardo Conde, Antonia Castaño, Dolores Romero Morales

RAIRO Oper. Res., 2001

Generating Experimental Data for the Generalized Assignment Problem.

H. Edwin Romeijn, Dolores Romero Morales

Oper. Res., 2001

Combining Minsum And Minmax: A Goal Programming Approach.

Emilio Carrizosa, Dolores Romero Morales

Oper. Res., 2001

A probabilistic analysis of the multi-period single-sourcing problem.

H. Edwin Romeijn, Dolores Romero Morales

Discret. Appl. Math., 2001

2000

A class of greedy algorithms for the generalized assignment problem.

H. Edwin Romeijn, Dolores Romero Morales

Discret. Appl. Math., 2000