Dolores Romero Morales

53 papers A* 1Journal 52
YearRankTypeTitle / Venue / Authors
2026 J jnl
Wasserstein support vector machine: Support vector machines made fair.
Eur. J. Oper. Res.
Emilio Carrizosa, Thomas Halskov, Dolores Romero Morales
2025 J jnl
On enhancing the explainability and fairness of tree ensembles.
Eur. J. Oper. Res.
Emilio Carrizosa, Kseniia Kurishchenko, Dolores Romero Morales
2024 J jnl
A binarization approach to model interactions between categorical predictors in Generalized Linear Models.
Appl. Intell.
Emilio Carrizosa, Marcela Galvis Restrepo, Dolores Romero Morales
2024 J jnl
A new model for counterfactual analysis for functional data.
Adv. Data Anal. Classif.
Emilio Carrizosa, Jasone Ramírez-Ayerbe, Dolores Romero Morales
2024 J jnl
Counterfactual analysis and target setting in benchmarking.
Eur. J. Oper. Res.
Peter Bogetoft, Jasone Ramírez-Ayerbe, Dolores Romero Morales
2024 J jnl
Generating collective counterfactual explanations in score-based classification via mathematical optimization.
Expert Syst. Appl.
Emilio Carrizosa, Jasone Ramírez-Ayerbe, Dolores Romero Morales
2024 J jnl
Guest editorial to the special issue of the 32nd European Conference on Operational Research in Espoo (Finland).
Eur. J. Oper. Res.
Antti Punkka, Dolores Romero Morales
2024 J jnl
Mathematical optimization modelling for group counterfactual explanations.
Eur. J. Oper. Res.
Emilio Carrizosa, Jasone Ramírez-Ayerbe, Dolores Romero Morales
2024 J jnl
Supervised feature compression based on counterfactual analysis.
Eur. J. Oper. Res.
Veronica Piccialli, Dolores Romero Morales, Cecilia Salvatore
2023 J jnl
Generating collective counterfactual explanations in score-based classification via mathematical optimization.
CoRR
Emilio Carrizosa, Jasone Ramírez-Ayerbe, Dolores Romero Morales
2023 J jnl
On clustering and interpreting with rules by means of mathematical optimization.
Comput. Oper. Res.
Emilio Carrizosa, Kseniia Kurishchenko, Alfredo Marín, Dolores Romero Morales
2023 J jnl
On mathematical optimization for clustering categories in contingency tables.
Adv. Data Anal. Classif.
Emilio Carrizosa, Vanesa Guerrero, Dolores Romero Morales
2023 J jnl
On optimal regression trees to detect critical intervals for multivariate functional data.
Comput. Oper. Res.
Rafael Blanquero, Emilio Carrizosa, Cristina Molero-Río, Dolores Romero Morales
2022 J jnl
On sparse optimal regression trees.
Eur. J. Oper. Res.
Rafael Blanquero, Emilio Carrizosa, Cristina Molero-Río, Dolores Romero Morales
2022 J jnl
Supervised Feature Compression based on Counterfactual Analysis.
CoRR
Veronica Piccialli, Dolores Romero Morales, Cecilia Salvatore
2022 J jnl
The tree based linear regression model for hierarchical categorical variables.
Expert Syst. Appl.
Emilio Carrizosa, Laust Hvas Mortensen, Dolores Romero Morales, M. Remedios Sillero-Denamiel
2021 J jnl
On Clustering Categories of Categorical Predictors in Generalized Linear Models.
CoRR
Emilio Carrizosa, Marcela Galvis Restrepo, Dolores Romero Morales
2021 J jnl
On clustering categories of categorical predictors in generalized linear models.
Expert Syst. Appl.
Emilio Carrizosa, Marcela Galvis Restrepo, Dolores Romero Morales
2021 J jnl
On sparse ensemble methods: An application to short-term predictions of the evolution of COVID-19.
Eur. J. Oper. Res.
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
2021 J jnl
Optimal randomized classification trees.
Comput. Oper. Res.
Rafael Blanquero, Emilio Carrizosa, Cristina Molero-Río, Dolores Romero Morales
2021 J jnl
Optimal randomized classification trees.
CoRR
Rafael Blanquero, Emilio Carrizosa, Cristina Molero-Río, Dolores Romero Morales
2020 J jnl
Sparsity in Optimal Randomized Classification Trees.
CoRR
Rafael Blanquero, Emilio Carrizosa, Cristina Molero-Río, Dolores Romero Morales
2020 J jnl
Sparsity in optimal randomized classification trees.
Eur. J. Oper. Res.
Rafael Blanquero, Emilio Carrizosa, Cristina Molero-Río, Dolores Romero Morales
2018 J jnl
On Building Online Visualization Maps for News Data Streams by Means of Mathematical Optimization.
Big Data
Emilio Carrizosa, Vanesa Guerrero, Daniel Hardt, Dolores Romero Morales
2018 J jnl
On Mathematical Optimization for the visualization of frequencies and adjacencies as rectangular maps.
Eur. J. Oper. Res.
Emilio Carrizosa, Vanesa Guerrero, Dolores Romero Morales
2018 J jnl
On the time-consistent stochastic dominance risk averse measure for tactical supply chain planning under uncertainty.
Comput. Oper. Res.
Laureano F. Escudero, Juan Francisco Monge, Dolores Romero Morales
2018 J jnl
Visualizing data as objects by DC (difference of convex) optimization.
Math. Program.
Emilio Carrizosa, Vanesa Guerrero, Dolores Romero Morales
2017 J jnl
Visualizing proportions and dissimilarities by Space-filling maps: A Large Neighborhood Search approach.
Comput. Oper. Res.
Emilio Carrizosa, Vanesa Guerrero, Dolores Romero Morales
2016 J jnl
Strongly agree or strongly disagree?: Rating features in Support Vector Machines.
Inf. Sci.
Emilio Carrizosa, Amaya Nogales-Gómez, Dolores Romero Morales
2015 J jnl
An SDP approach for multiperiod mixed 0-1 linear programming models with stochastic dominance constraints for risk management.
Comput. Oper. Res.
Laureano F. Escudero, Juan Francisco Monge, Dolores Romero Morales
2014 J jnl
A nested heuristic for parameter tuning in Support Vector Machines.
Comput. Oper. Res.
Emilio Carrizosa, Belen Martin-Barragan, Dolores Romero Morales
2014 J jnl
Heuristic approaches for support vector machines with the ramp loss.
Optim. Lett.
Emilio Carrizosa, Amaya Nogales-Gómez, Dolores Romero Morales
2014 J jnl
Revenue deficiency under second-price auctions in a supply-chain setting.
Eur. J. Oper. Res.
Dolores Romero Morales, Richard Steinberg
2013 J jnl
Expected Future Value Decomposition Based Bid Price Generation for Large-Scale Network Revenue Management.
Transp. Sci.
Laureano F. Escudero, Juan F. Monge, Dolores Romero Morales, Jingbo Wang
2013 J jnl
Supervised classification and mathematical optimization.
Comput. Oper. Res.
Emilio Carrizosa, Dolores Romero Morales
2011 J jnl
Detecting relevant variables and interactions in supervised classification.
Eur. J. Oper. Res.
Emilio Carrizosa, Belen Martin-Barragan, Dolores Romero Morales
2010 J jnl
Binarized Support Vector Machines.
INFORMS J. Comput.
Emilio Carrizosa, Belen Martin-Barragan, Dolores Romero Morales
2010 J jnl
Forecasting cancellation rates for services booking revenue management using data mining.
Eur. J. Oper. Res.
Dolores Romero Morales, Jingbo Wang
2009 J jnl
Existence of equilibria in a decentralized two-level supply chain.
Eur. J. Oper. Res.
Dolores Romero Morales, Dries Vermeulen
2008 J jnl
Multi-group support vector machines with measurement costs: A biobjective approach.
Discret. Appl. Math.
Emilio Carrizosa, Belen Martin-Barragan, Dolores Romero Morales
2007 J jnl
A Heuristic Approach to the Multi-Period Single-Sourcing Problem with Production and Inventory Capacities and Perishability Constraints.
INFORMS J. Comput.
Ravindra K. Ahuja, Wei Huang, H. Edwin Romeijn, Dolores Romero Morales
2007 J jnl
A biobjective method for sample allocation in stratified sampling.
Eur. J. Oper. Res.
Emilio Carrizosa, Dolores Romero Morales
2007 J jnl
On the Selection of the Globally Optimal Prototype Subset for Nearest-Neighbor Classification.
INFORMS J. Comput.
Emilio Carrizosa, Belen Martin-Barragan, Frank Plastria, Dolores Romero Morales
2006 J jnl
On solving the multi-period single-sourcing problem under uncertainty.
Comput. Manag. Sci.
Antonio Alonso-Ayuso, Laureano F. Escudero, Celeste Pizarro, H. Edwin Romeijn, Dolores Romero Morales
2005 J jnl
Integrated Lot Sizing in Serial Supply Chains with Production Capacities.
Manag. Sci.
Stan P. M. van Hoesel, H. Edwin Romeijn, Dolores Romero Morales, Albert P. M. Wagelmans
2004 A* conf
A Biobjective Model to Select Features with Good Classification Quality and Low Cost.
ICDM
Emilio Carrizosa, Belen Martin-Barragan, Dolores Romero Morales
2004 J jnl
Asymptotic Analysis of a Greedy Heuristic for the Multi-Period Single-Sourcing Problem: The Acyclic Case.
J. Heuristics
H. Edwin Romeijn, Dolores Romero Morales
2003 J jnl
A Branch-and-Price Algorithm for the Multiperiod Single-Sourcing Problem.
Oper. Res.
Richard Freling, H. Edwin Romeijn, Dolores Romero Morales, Albert P. M. Wagelmans
2001 J jnl
A probabilistic analysis of the multi-period single-sourcing problem.
Discret. Appl. Math.
H. Edwin Romeijn, Dolores Romero Morales
2001 J jnl
Combining Minsum And Minmax: A Goal Programming Approach.
Oper. Res.
Emilio Carrizosa, Dolores Romero Morales
2001 J jnl
Finding the principal points of a random variable.
RAIRO Oper. Res.
Emilio Carrizosa, Eduardo Conde, Antonia Castaño, Dolores Romero Morales
2001 J jnl
Generating Experimental Data for the Generalized Assignment Problem.
Oper. Res.
H. Edwin Romeijn, Dolores Romero Morales
2000 J jnl
A class of greedy algorithms for the generalized assignment problem.
Discret. Appl. Math.
H. Edwin Romeijn, Dolores Romero Morales