Research and Innovation Staff Exchange Network of European Data Scientists

Informations projet

NeEDS

N° de convention de subvention: 822214

DOI

10.3030/822214

Projet clôturé

Date de signature de la CE 4 Octobre 2018

Date de début 1 Janvier 2019

Date de fin 31 Octobre 2024

Financé au titre de

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coût total

€ 1 168 400,00

Contribution de l’UE

€ 1 168 400,00

Coordonné par

COPENHAGEN BUSINESS SCHOOL
Denmark

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

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.

Publications

Peer reviewed articles (31)

Constrained Naïve Bayes with application to unbalanced data classification

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

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

Auteurs: Rafael Van Belle, Jochen De Weerdt
Publié dans: IEEE Transactions on Knowledge and Data Engineering, 2024, ISSN 1558-2191
Éditeur: IEEE
DOI: 10.1109/tkde.2024.3381240

Variable selection for Naïve Bayes classification

Auteurs: Rafael Blanquero, Emilio Carrizosa, Pepa Ramírez-Cobo, M. Remedios Sillero-Denamiel
Publié dans: Computers & Operations Research, Numéro Volume 135, 2021, ISSN 0305-0548
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.cor.2021.105456

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

Auteurs: Rafael Blanquero, Emilio Carrizosa, Cristina Molero-Río, Dolores Romero Morales
Publié dans: Computers & Operations Research, 2023, ISSN 0305-0548
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.cor.2023.106152

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

Auteurs: Rafaël Van Belle, Bart Baesens, Jochen De Weerdt
Publié dans: Decision Support Systems, Numéro Vol. 164, 2023, ISSN 0167-9236
Éditeur: Elsevier BV
DOI: 10.1016/j.dss.2022.113866

Mathematical optimization modelling for group counterfactual explanations

Auteurs: Emilio Carrizosa, Jasone Ramírez-Ayerbe, Dolores Romero Morales
Publié dans: European Journal of Operational Research, Numéro 24 issues/year, 2024, ISSN 0377-2217
Éditeur: Elsevier BV
DOI: 10.1016/j.ejor.2024.01.002

A new model for counterfactual analysis for functional data

Auteurs: Emilio Carrizosa, Jasone Ramírez-Ayerbe, Dolores Romero Morales
Publié dans: Advances in Data Analysis and Classification, Numéro 4 issues/year, 2023, ISSN 1862-5355
Éditeur: Springer
DOI: 10.1007/s11634-023-00563-5

A cost-sensitive constrained Lasso

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

The tree based linear regression model for hierarchical categorical variables

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

On clustering and interpreting with rules by means of mathematical optimization

Auteurs: Emilio Carrizosa, Kseniia Kurishchenko, Alfredo Marín, Dolores Romero Morales
Publié dans: Computers & Operations Research, Numéro Volume 154, June 2023, 106180, 2023, ISSN 1873-765X
Éditeur: ELSEVIER
DOI: 10.1016/j.cor.2023.106180

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

Auteurs: Y. Jin, T. J. A. de Jong, M. Tennekes, and M. Chen
Publié dans: IEEE Transactions on Visualization and Computer Graphics, Numéro 30(1), 2024, Page(s) online: 1-11, ISSN 1077-2626
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tvcg.2023.3327178

Design Space of Origin‐Destination Data Visualization

Auteurs: Tennekes, Martijn; Chen, Min
Publié dans: Computer Graphics Forum, Numéro 3, 2021, ISSN 1467-8659
Éditeur: John Wiley & Sons Ltd.
DOI: 10.1111/cgf.14310

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

Auteurs: Emilio Carrizosa, Jasone Ramírez-Ayerbe, Dolores Romero Morales
Publié dans: Expert Systems with Applications, Numéro 24 issues/year, 2024, ISSN 0957-4174
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2023.121954

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

Auteurs: Emilio Carrizosa, Marcela Galvis Restrepo, Dolores Romero Morales
Publié dans: Applied Intelligence, 2024, ISSN 1573-7497
Éditeur: Springer
DOI: 10.1007/s10489-024-05576-x

Cost-sensitive probabilistic predictions for support vector machines

Auteurs: Sandra Benítez-Peña, Rafael Blanquero, Emilio Carrizosa, Pepa Ramírez-Cobo
Publié dans: European Journal of Operational Research, Numéro 24 issues/year, 2024, ISSN 0377-2217
Éditeur: Elsevier BV
DOI: 10.1016/j.ejor.2023.09.027

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

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

Expert-driven trace clustering with instance-level constraints

Auteurs: Pieter De Koninck, Klaas Nelissen, Seppe vanden Broucke, Bart Baesens, Monique Snoeck & Jochen De Weerdt
Publié dans: Knowledge and Information Systems, Numéro Volume 63, 2021, ISSN 0219-1377
Éditeur: Springer Verlag
DOI: 10.1007/s10115-021-01548-6

Optimal randomized classification trees

Auteurs: Rafael Blanquero, Emilio Carrizosa, Cristina Molero-Río, Dolores Romero Morales
Publié dans: Computers & Operations Research, Numéro Volume 132, August 2021, 2021, ISSN 0305-0548
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.cor.2021.105281

Counterfactual analysis and target setting in benchmarking

Auteurs: Peter Bogetoft, Jasone Ramírez-Ayerbe, Dolores Romero Morales
Publié dans: European Journal of Operational Research, Numéro 24 issues/year, 2024, ISSN 0377-2217
Éditeur: Elsevier BV
DOI: 10.1016/j.ejor.2024.01.005

Interpreting clusters via prototype optimization

Auteurs: Emilio Carrizosa, Kseniia Kurishchenko, Alfredo Marín, Dolores Romero Morales
Publié dans: Omega, Numéro Volume 107, February 2022, 102543, 2022, ISSN 0305-0483
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.omega.2021.102543

Mathematical optimization in classification and regression trees

Auteurs: Emilio Carrizosa, Cristina Molero-Río, Dolores Romero Morales
Publié dans: TOP, Numéro Volume 29, Numéro 3, 2021, Page(s) 5-33, ISSN 1134-5764
Éditeur: Springer Verlag
DOI: 10.1007/s11750-021-00594-1

Feature Selection in Data Envelopment Analysis: A Mathematical Optimization approach

Auteurs: Sandra Benítez-Peña, Peter Bogetoft, Dolores Romero Morales
Publié dans: Omega, 2019, Page(s) 102068, ISSN 0305-0483
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.omega.2019.05.004

Sparsity in optimal randomized classification trees

Auteurs: Rafael Blanquero, Emilio Carrizosa, Cristina Molero-Río, Dolores Romero Morales
Publié dans: European Journal of Operational Research, 2019, ISSN 0377-2217
Éditeur: 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

Auteurs: 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
Publié dans: European Journal of Operational Research, Numéro Volume 295, Numéro 2, 2021, Page(s) 648-663, ISSN 0377-2217
Éditeur: Elsevier BV
DOI: 10.1016/j.ejor.2021.04.016

On Clustering Categories of Categorical Predictors in Generalized Linear

Auteurs: Emilio Carrizosa and Marcela Galvis Restrepo and Dolores Romero Morales
Publié dans: Expert Systems with Applications, Numéro Volume 182, 2021, ISSN 0957-4174
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2021.115245

GeoRF: a geospatial random forest

Auteurs: Margot Geerts, Seppe vanden Broucke, Jochen De Weerdt
Publié dans: Data Mining and Knowledge Discovery, 2024, ISSN 1573-756X
Éditeur: Springer Nature
DOI: 10.1007/s10618-024-01046-7

On sparse optimal regression trees

Auteurs: Rafael Blanquero, Emilio Carrizosa, Cristina Molero-Río, Dolores Romero Morales
Publié dans: European Journal of Operational Research, Numéro Volume 299, Numéro 3, 2022, Page(s) 1045-1054, ISSN 0377-2217
Éditeur: Elsevier BV
DOI: 10.1016/j.ejor.2021.12.022

On mathematical optimization for clustering categories in contingency tables

Auteurs: Emilio Carrizosa, Vanesa Guerrero, Dolores Romero Morales
Publié dans: Advances in Data Analysis and Classification, 2022, ISSN 1862-5347
Éditeur: Springer Verlag
DOI: 10.1007/s11634-022-00508-4

Predicting student performance using sequence classification with time-based windows

Auteurs: Galina Deeva, Johannes De Smedt, Cecilia Saint-Pierre, Richard Weber, Jochen De Weerdt
Publié dans: Expert Systems with Applications, Numéro 09574174, 2022, ISSN 0957-4174
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2022.118182

Supervised feature compression based on counterfactual analysis

Auteurs: V. Piccialli, D. Romero Morales, C. Salvatore
Publié dans: European Journal of Operational Research, 2024, ISSN 0377-2217
Éditeur: 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

Auteurs: M. Chen and M. Sbert
Publié dans: Entropy, Numéro 10994300, 2022, Page(s) 228, ISSN 1099-4300
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/e24020228