Research and Innovation Staff Exchange Network of European Data Scientists

Información del proyecto

NeEDS

Identificador del acuerdo de subvención: 822214

DOI

10.3030/822214

Proyecto cerrado

Fecha de la firma de la CE 4 Octubre 2018

Fecha de inicio 1 Enero 2019

Fecha de finalización 31 Octubre 2024

Financiado con arreglo a

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coste total

€ 1 168 400,00

Aportación de la UE

€ 1 168 400,00

Coordinado por

COPENHAGEN BUSINESS SCHOOL
Denmark

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Other (13)

Open-source software routines WP3_3

Third developed software during WP 3 made publicly available at the NeEDS website to enhance the visualization of complex data.

Open-source software routines WP4_3

Third developed software during WP 4 made publicly available at the NeEDS website for joint data processing and data analysis.

Open-source software routines WP1_1

First developed software during WP 1 made publicly available at the NeEDS website to enhance the visualization of networks.

Open-source software routines WP1_3

Third developed software during WP 1 made publicly available at the NeEDS website to enhance the visualization of networks.

Open-source software routines WP3_1

First developed software during WP 3 made publicly available at the NeEDS website to enhance the visualization of complex data.

Open-source software routines WP4_2

Second developed software during WP 4 made publicly available at the NeEDS website for joint data processing and data analysis.

Open-source software routines WP3_2

Second developed software during WP 3 made publicly available at the NeEDS website to enhance the visualization of complex data.

organisation of modelling weeks

Organisation of a total of 7 modelling weeks for all consortium members and partners. The modelling weeks will be deisgned to facilitate knowledge transfer.

Open-source software routines WP4_1

First developed software during WP 4 made publicly available at the NeEDS website for joint data processing and data analysis.

Open-source software routinesWP2_3

Third developed software during WP 2 made publicly available at the NeEDS website to enhance the Interpretability of Data Analysis models.

Open-source software routines WP2_1

First developed software during WP 2 made publicly available at the NeEDS website to enhance the Interpretability of Data Analysis models.

Open-source software routines WP1_2

Second developed software during WP 1 made publicly available at the NeEDS website to enhance the visualization of networks.

Open-source software routines WP2_2

Second developed software during WP 2 made publicly available at the NeEDS website

Documents, reports (1)

A Collection of Case Studies

A collection of case studies with innovative applications of Data Science inspired in the work done during the Modeling Weeks and the corresponding secondments

Websites, patent fillings, videos etc. (1)

NeEDS website

The NeEDS website will enable online interaction between members of the network and with the outside world. The website will contain the profile for each participant, one video clip per ESR explaining his/her research project, the working papers and the software routines developed in the RIPs, the announcement of the network and the local events including the NeEDS conference, the Modeling Weeks and the NeEDS workshops as well the corresponding material. The coordinator will appear as the major point of contact for the network.

Publicaciones

Peer reviewed articles (31)

Constrained Naïve Bayes with application to unbalanced data classification

Autores: Rafael Blanquero, Emilio Carrizosa, Pepa Ramírez-Cobo, M. Remedios Sillero-Denamiel
Publicado en: Central European Journal of Operations Research, Edición Volume 29, issue 4, 2021, ISSN 1435-246X
Editor: Physica-Verlag Gmbh und Co.
DOI: 10.1007/s10100-021-00782-1

SHINE: A Scalable Heterogeneous Inductive Graph Neural Network for Large Imbalanced Datasets

Autores: Rafael Van Belle, Jochen De Weerdt
Publicado en: IEEE Transactions on Knowledge and Data Engineering, 2024, ISSN 1558-2191
Editor: IEEE
DOI: 10.1109/tkde.2024.3381240

Variable selection for Naïve Bayes classification

Autores: Rafael Blanquero, Emilio Carrizosa, Pepa Ramírez-Cobo, M. Remedios Sillero-Denamiel
Publicado en: Computers & Operations Research, Edición Volume 135, 2021, ISSN 0305-0548
Editor: Pergamon Press Ltd.
DOI: 10.1016/j.cor.2021.105456

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

Autores: Rafael Blanquero, Emilio Carrizosa, Cristina Molero-Río, Dolores Romero Morales
Publicado en: Computers & Operations Research, 2023, ISSN 0305-0548
Editor: Pergamon Press Ltd.
DOI: 10.1016/j.cor.2023.106152

CATCHM: A novel network-based credit card fraud detection method using node representation learning

Autores: Rafaël Van Belle, Bart Baesens, Jochen De Weerdt
Publicado en: Decision Support Systems, Edición Vol. 164, 2023, ISSN 0167-9236
Editor: Elsevier BV
DOI: 10.1016/j.dss.2022.113866

Mathematical optimization modelling for group counterfactual explanations

Autores: Emilio Carrizosa, Jasone Ramírez-Ayerbe, Dolores Romero Morales
Publicado en: European Journal of Operational Research, Edición 24 issues/year, 2024, ISSN 0377-2217
Editor: Elsevier BV
DOI: 10.1016/j.ejor.2024.01.002

A new model for counterfactual analysis for functional data

Autores: Emilio Carrizosa, Jasone Ramírez-Ayerbe, Dolores Romero Morales
Publicado en: Advances in Data Analysis and Classification, Edición 4 issues/year, 2023, ISSN 1862-5355
Editor: Springer
DOI: 10.1007/s11634-023-00563-5

A cost-sensitive constrained Lasso

Autores: Rafael Blanquero, Emilio Carrizosa, Pepa Ramírez-Cobo, M. Remedios Sillero-Denamiel
Publicado en: Advances in Data Analysis and Classification, 2020, ISSN 1862-5347
Editor: Springer Verlag
DOI: 10.1007/s11634-020-00389-5

The tree based linear regression model for hierarchical categorical variables

Autores: Emilio Carrizosa, Laust Hvas Mortensen, Dolores Romero Morales, M. Remedios Sillero-Denamiel
Publicado en: Expert Systems with Applications, 2022, ISSN 0957-4174
Editor: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2022.117423

On clustering and interpreting with rules by means of mathematical optimization

Autores: Emilio Carrizosa, Kseniia Kurishchenko, Alfredo Marín, Dolores Romero Morales
Publicado en: Computers & Operations Research, Edición Volume 154, June 2023, 106180, 2023, ISSN 1873-765X
Editor: ELSEVIER
DOI: 10.1016/j.cor.2023.106180

Radial Icicle Tree (RIT): Node Separation and Area Constancy

Autores: Y. Jin, T. J. A. de Jong, M. Tennekes, and M. Chen
Publicado en: IEEE Transactions on Visualization and Computer Graphics, Edición 30(1), 2024, Página(s) online: 1-11, ISSN 1077-2626
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tvcg.2023.3327178

Design Space of Origin‐Destination Data Visualization

Autores: Tennekes, Martijn; Chen, Min
Publicado en: Computer Graphics Forum, Edición 3, 2021, ISSN 1467-8659
Editor: John Wiley & Sons Ltd.
DOI: 10.1111/cgf.14310

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

Autores: Emilio Carrizosa, Jasone Ramírez-Ayerbe, Dolores Romero Morales
Publicado en: Expert Systems with Applications, Edición 24 issues/year, 2024, ISSN 0957-4174
Editor: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2023.121954

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

Autores: Emilio Carrizosa, Marcela Galvis Restrepo, Dolores Romero Morales
Publicado en: Applied Intelligence, 2024, ISSN 1573-7497
Editor: Springer
DOI: 10.1007/s10489-024-05576-x

Cost-sensitive probabilistic predictions for support vector machines

Autores: Sandra Benítez-Peña, Rafael Blanquero, Emilio Carrizosa, Pepa Ramírez-Cobo
Publicado en: European Journal of Operational Research, Edición 24 issues/year, 2024, ISSN 0377-2217
Editor: Elsevier BV
DOI: 10.1016/j.ejor.2023.09.027

Simulation-based optimization of user interfaces for quality-assuring machine learning model predictions

Autores: Y. Zhang, M. Tennekes, T. De Jong, L. Curier, B. Coecke, and M. Chen
Publicado en: ACM Transactions on Interactive Intelligent Systems, 2024, Página(s) online: 1-30, ISSN 2160-6455
Editor: Association for Computing Machinery (ACM)
DOI: 10.1145/3594552

Expert-driven trace clustering with instance-level constraints

Autores: Pieter De Koninck, Klaas Nelissen, Seppe vanden Broucke, Bart Baesens, Monique Snoeck & Jochen De Weerdt
Publicado en: Knowledge and Information Systems, Edición Volume 63, 2021, ISSN 0219-1377
Editor: Springer Verlag
DOI: 10.1007/s10115-021-01548-6

Optimal randomized classification trees

Autores: Rafael Blanquero, Emilio Carrizosa, Cristina Molero-Río, Dolores Romero Morales
Publicado en: Computers & Operations Research, Edición Volume 132, August 2021, 2021, ISSN 0305-0548
Editor: Pergamon Press Ltd.
DOI: 10.1016/j.cor.2021.105281

Counterfactual analysis and target setting in benchmarking

Autores: Peter Bogetoft, Jasone Ramírez-Ayerbe, Dolores Romero Morales
Publicado en: European Journal of Operational Research, Edición 24 issues/year, 2024, ISSN 0377-2217
Editor: Elsevier BV
DOI: 10.1016/j.ejor.2024.01.005

Interpreting clusters via prototype optimization

Autores: Emilio Carrizosa, Kseniia Kurishchenko, Alfredo Marín, Dolores Romero Morales
Publicado en: Omega, Edición Volume 107, February 2022, 102543, 2022, ISSN 0305-0483
Editor: Pergamon Press Ltd.
DOI: 10.1016/j.omega.2021.102543

Mathematical optimization in classification and regression trees

Autores: Emilio Carrizosa, Cristina Molero-Río, Dolores Romero Morales
Publicado en: TOP, Edición Volume 29, Edición 3, 2021, Página(s) 5-33, ISSN 1134-5764
Editor: Springer Verlag
DOI: 10.1007/s11750-021-00594-1

Feature Selection in Data Envelopment Analysis: A Mathematical Optimization approach

Autores: Sandra Benítez-Peña, Peter Bogetoft, Dolores Romero Morales
Publicado en: Omega, 2019, Página(s) 102068, ISSN 0305-0483
Editor: Pergamon Press Ltd.
DOI: 10.1016/j.omega.2019.05.004

Sparsity in optimal randomized classification trees

Autores: Rafael Blanquero, Emilio Carrizosa, Cristina Molero-Río, Dolores Romero Morales
Publicado en: European Journal of Operational Research, 2019, ISSN 0377-2217
Editor: Elsevier BV
DOI: 10.1016/j.ejor.2019.12.002

On sparse ensemble methods: An application to short-term predictions of the evolution of COVID-19

Autores: Sandra Benítez-Peña, Emilio Carrizosa, Vanesa Guerrero, M Dolores Jiménez-Gamero, Belén Martín-Barragán, Cristina Molero-Río, Pepa Ramírez-Cobo, Dolores Romero Morales, M Remedios Sillero-Denamiel
Publicado en: European Journal of Operational Research, Edición Volume 295, Edición 2, 2021, Página(s) 648-663, ISSN 0377-2217
Editor: Elsevier BV
DOI: 10.1016/j.ejor.2021.04.016

On Clustering Categories of Categorical Predictors in Generalized Linear

Autores: Emilio Carrizosa and Marcela Galvis Restrepo and Dolores Romero Morales
Publicado en: Expert Systems with Applications, Edición Volume 182, 2021, ISSN 0957-4174
Editor: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2021.115245

GeoRF: a geospatial random forest

Autores: Margot Geerts, Seppe vanden Broucke, Jochen De Weerdt
Publicado en: Data Mining and Knowledge Discovery, 2024, ISSN 1573-756X
Editor: Springer Nature
DOI: 10.1007/s10618-024-01046-7

On sparse optimal regression trees

Autores: Rafael Blanquero, Emilio Carrizosa, Cristina Molero-Río, Dolores Romero Morales
Publicado en: European Journal of Operational Research, Edición Volume 299, Edición 3, 2022, Página(s) 1045-1054, ISSN 0377-2217
Editor: Elsevier BV
DOI: 10.1016/j.ejor.2021.12.022

On mathematical optimization for clustering categories in contingency tables

Autores: Emilio Carrizosa, Vanesa Guerrero, Dolores Romero Morales
Publicado en: Advances in Data Analysis and Classification, 2022, ISSN 1862-5347
Editor: Springer Verlag
DOI: 10.1007/s11634-022-00508-4

Predicting student performance using sequence classification with time-based windows

Autores: Galina Deeva, Johannes De Smedt, Cecilia Saint-Pierre, Richard Weber, Jochen De Weerdt
Publicado en: Expert Systems with Applications, Edición 09574174, 2022, ISSN 0957-4174
Editor: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2022.118182

Supervised feature compression based on counterfactual analysis

Autores: V. Piccialli, D. Romero Morales, C. Salvatore
Publicado en: European Journal of Operational Research, 2024, ISSN 0377-2217
Editor: Elsevier BV
DOI: 10.1016/j.ejor.2023.11.019

A bounded measure for estimating the benefit of visualization (Part I): theoretical discourse and conceptual evaluation

Autores: M. Chen and M. Sbert
Publicado en: Entropy, Edición 10994300, 2022, Página(s) 228, ISSN 1099-4300
Editor: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/e24020228