Emilio Carrizosa

Emilio Carrizosa

Universidad de Sevilla

H-index: 36

Europe-Spain

About Emilio Carrizosa

Emilio Carrizosa, With an exceptional h-index of 36 and a recent h-index of 22 (since 2020), a distinguished researcher at Universidad de Sevilla, specializes in the field of Data Science, Machine Learning, Mathematical Optimization, Operations Research, Industrial Mathematics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Cost-sensitive probabilistic predictions for support vector machines

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

Mathematical optimization modelling for group counterfactual explanations

Explainable Predict-and-Optimize

A new model for counterfactual analysis for functional data

On enhancing the explainability and fairness of tree ensembles

Contextual Uncertainty Sets in Robust Linear Optimization

Wasserstein SVM: Support Vector Machines made fair

Emilio Carrizosa Information

University

Position

IMUS - Spain

Citations(all)

4200

Citations(since 2020)

1808

Cited By

3049

hIndex(all)

36

hIndex(since 2020)

22

i10Index(all)

126

i10Index(since 2020)

57

Email

University Profile Page

Universidad de Sevilla

Google Scholar

View Google Scholar Profile

Emilio Carrizosa Skills & Research Interests

Data Science

Machine Learning

Mathematical Optimization

Operations Research

Industrial Mathematics

Top articles of Emilio Carrizosa

Title

Journal

Author(s)

Publication Date

Cost-sensitive probabilistic predictions for support vector machines

European Journal of Operational Research

Sandra Benítez-Peña

Rafael Blanquero

Emilio Carrizosa

Pepa Ramírez-Cobo

2024/4/1

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

Expert Systems with Applications

Emilio Carrizosa

Jasone Ramírez-Ayerbe

Dolores Romero Morales

2024/3/15

Mathematical optimization modelling for group counterfactual explanations

European Journal of Operational Research

Emilio Carrizosa

Jasone Ramírez-Ayerbe

Dolores Romero Morales

2024/1/5

Explainable Predict-and-Optimize

Rafael Blanquero

Emilio Carrizosa

Nuria Gómez-Vargas

2023/1/24

A new model for counterfactual analysis for functional data

Advances in Data Analysis and Classification

Emilio Carrizosa

Jasone Ramírez-Ayerbe

Dolores Romero Morales

2023/10/25

On enhancing the explainability and fairness of tree ensembles

Emilio Carrizosa

Kseniia Kurishchenko

D Romero Morales

2023

Contextual Uncertainty Sets in Robust Linear Optimization

Rafael Blanquero

Emilio Carrizosa

Nuria Gómez-Vargas

2023/10/13

Wasserstein SVM: Support Vector Machines made fair

Emilio Carrizosa

Thomas Halskov

D Romero Morales

2023

On clustering and interpreting with rules by means of mathematical optimization

Computers & Operations Research

Emilio Carrizosa

Kseniia Kurishchenko

Alfredo Marín

Dolores Romero Morales

2023/6/1

On mathematical optimization for clustering categories in contingency tables

Advances in Data Analysis and Classification

Emilio Carrizosa

Vanesa Guerrero

Dolores Romero Morales

2023/6

On optimal regression trees to detect critical intervals for multivariate functional data

Computers & Operations Research

Rafael Blanquero

Emilio Carrizosa

Cristina Molero-Río

Dolores Romero Morales

2023/4/1

Solving the 1-median problem on a network with continuous demand and demand surplus

Computers & Operations Research

Rafael Blanquero

Emilio Carrizosa

G Boglárka

Kristóf Kovács

2023/12/1

Generating Counterfactual Explanations in Score-Based Classification via Mathematical Optimization

Emilio Carrizosa

J Ramírez-Ayerbe

D Romero Morales

2022

On sparse optimal regression trees

European Journal of Operational Research

Rafael Blanquero

Emilio Carrizosa

Cristina Molero-Río

Dolores Romero Morales

2022/6/16

Interpreting clusters via prototype optimization

Omega

Emilio Carrizosa

Kseniia Kurishchenko

Alfredo Marín

Dolores Romero Morales

2022/2/1

Empirical Bayes fairness in linear regression

Emilio Carrizosa

Rafael Jiménez-Llamas

Pepa Ramırez-Cobo

2022

Improving fairness of Generalized Linear Models by feature shrinkage

Emilio Carrizosa

Marcela Galvis Restrepo

Dolores Romero Morales

2022

Constrained Naïve Bayes with application to unbalanced data classification

Central European Journal of Operations Research

Rafael Blanquero

Emilio Carrizosa

Pepa Ramírez-Cobo

M Remedios Sillero-Denamiel

2022/12/1

Counterfactual explanations for functional data: A mathematical optimization approach

Emilio Carrizosa

Jasone Ramırez-Ayerbe

Dolores Romero

2022

The tree based linear regression model for hierarchical categorical variables

Expert Systems with Applications

Emilio Carrizosa

Laust Hvas Mortensen

Dolores Romero Morales

M Remedios Sillero-Denamiel

2022/10/1

See List of Professors in Emilio Carrizosa University(Universidad de Sevilla)

Co-Authors

H-index: 34
Enrique Fernandez Cara

Enrique Fernandez Cara

Universidad de Sevilla

H-index: 19
Rafael Blanquero

Rafael Blanquero

Universidad de Sevilla

H-index: 18
Eduardo Conde

Eduardo Conde

Universidad de Sevilla

H-index: 16
Pepa Ramírez-Cobo

Pepa Ramírez-Cobo

Universidad de Cádiz

H-index: 16
Boglárka, G.-Tóth

Boglárka, G.-Tóth

Szegedi Tudományegyetem

H-index: 14
M. Muñoz-Márquez

M. Muñoz-Márquez

Universidad de Cádiz

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