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Romero Morales, Dolores
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1

Counterfactual analysis and target setting in benchmarking:

Bogetoft, Peter ; Ramírez-Ayerbe, Jasone ; Romero Morales, Dolores
European Journal of Operational Research.  315 (2024)  3 - p. 1083-1095 , 2024
Link: https://doi.org/10.1016/..
 
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2

Guest editorial to the special issue of the 32nd European C..:

Punkka, Antti ; Romero Morales, Dolores
European Journal of Operational Research.  , 2024
Link: https://doi.org/10.1016/..
 
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3

Generating collective counterfactual explanations in score-..:

Carrizosa, Emilio ; Ramírez-Ayerbe, Jasone ; Romero Morales, Dolores
Expert Systems with Applications.  238 (2024)  - p. 121954 , 2024
Link: https://doi.org/10.1016/..
 
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4

Supervised feature compression based on counterfactual anal..:

Piccialli, Veronica ; Romero Morales, Dolores ; Salvatore, Cecilia
European Journal of Operational Research.  317 (2024)  2 - p. 273-285 , 2024
Link: https://doi.org/10.1016/..
 
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5

A binarization approach to model interactions between categ..:

Carrizosa, Emilio ; Galvis Restrepo, Marcela ; Romero Morales, Dolores
Applied Intelligence.  54 (2024)  17-18 - p. 7969-7981 , 2024
Link: https://doi.org/10.1007/..
 
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6

Mathematical optimization modelling for group counterfactua..:

Carrizosa, Emilio ; Ramírez-Ayerbe, Jasone ; Romero Morales, Dolores
European Journal of Operational Research.  , 2024
Link: https://doi.org/10.1016/..
 
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7

On clustering and interpreting with rules by means of mathe..:

Carrizosa, Emilio ; Kurishchenko, Kseniia ; Marín, Alfredo.
Computers & Operations Research.  154 (2023)  - p. 106180 , 2023
Link: https://doi.org/10.1016/..
 
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8

A new model for counterfactual analysis for functional data:

Carrizosa, Emilio ; Ramírez-Ayerbe, Jasone ; Romero Morales, Dolores
Advances in Data Analysis and Classification.  , 2023
Link: https://doi.org/10.1007/..
 
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9

On optimal regression trees to detect critical intervals fo..:

Blanquero, Rafael ; Carrizosa, Emilio ; Molero-Río, Cristina.
Computers & Operations Research.  152 (2023)  - p. 106152 , 2023
Link: https://doi.org/10.1016/..
 
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10

The tree based linear regression model for hierarchical cat..:

Carrizosa, Emilio ; Mortensen, Laust Hvas ; Romero Morales, Dolores.
Expert Systems with Applications.  203 (2022)  - p. 117423 , 2022
Link: https://doi.org/10.1016/..
 
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11

Interpreting clusters via prototype optimization:

Carrizosa, Emilio ; Kurishchenko, Kseniia ; Marín, Alfredo.
Omega.  107 (2022)  - p. 102543 , 2022
Link: https://doi.org/10.1016/..
 
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12

On mathematical optimization for clustering categories in c..:

Carrizosa, Emilio ; Guerrero, Vanesa ; Romero Morales, Dolores
Advances in Data Analysis and Classification.  17 (2022)  2 - p. 407-429 , 2022
Link: https://doi.org/10.1007/..
 
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13

On sparse ensemble methods: An application to short-term pr..:

Benítez-Peña, Sandra ; Carrizosa, Emilio ; Guerrero, Vanesa...
European Journal of Operational Research.  295 (2021)  2 - p. 648-663 , 2021
Link: https://doi.org/10.1016/..
 
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14

On clustering categories of categorical predictors in gener..:

Carrizosa, Emilio ; Galvis Restrepo, Marcela ; Romero Morales, Dolores
Expert Systems with Applications.  182 (2021)  - p. 115245 , 2021
Link: https://doi.org/10.1016/..
 
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15

Mathematical optimization in classification and regression ..:

Carrizosa, Emilio ; Molero-Río, Cristina ; Romero Morales, Dolores
TOP.  29 (2021)  1 - p. 5-33 , 2021
Link: https://doi.org/10.1007/..
 
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