Research and Innovation Staff Exchange Network of European Data Scientists

Project Information

NeEDS

Grant agreement ID: 822214

DOI

10.3030/822214

Project closed

EC signature date 4 October 2018

Start date 1 January 2019

End date 31 October 2024

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost

€ 1 168 400,00

EU contribution

€ 1 168 400,00

Coordinated by

COPENHAGEN BUSINESS SCHOOL
Denmark

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

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

Author(s): Rafael Blanquero, Emilio Carrizosa, Pepa Ramírez-Cobo, M. Remedios Sillero-Denamiel
Published in: Central European Journal of Operations Research, Issue Volume 29, issue 4, 2021, ISSN 1435-246X
Publisher: Physica-Verlag Gmbh und Co.
DOI: 10.1007/s10100-021-00782-1

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

Author(s): Rafael Van Belle, Jochen De Weerdt
Published in: IEEE Transactions on Knowledge and Data Engineering, 2024, ISSN 1558-2191
Publisher: IEEE
DOI: 10.1109/tkde.2024.3381240

Variable selection for Naïve Bayes classification

Author(s): Rafael Blanquero, Emilio Carrizosa, Pepa Ramírez-Cobo, M. Remedios Sillero-Denamiel
Published in: Computers & Operations Research, Issue Volume 135, 2021, ISSN 0305-0548
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.cor.2021.105456

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

Author(s): Rafael Blanquero, Emilio Carrizosa, Cristina Molero-Río, Dolores Romero Morales
Published in: Computers & Operations Research, 2023, ISSN 0305-0548
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.cor.2023.106152

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

Author(s): Rafaël Van Belle, Bart Baesens, Jochen De Weerdt
Published in: Decision Support Systems, Issue Vol. 164, 2023, ISSN 0167-9236
Publisher: Elsevier BV
DOI: 10.1016/j.dss.2022.113866

Mathematical optimization modelling for group counterfactual explanations

Author(s): Emilio Carrizosa, Jasone Ramírez-Ayerbe, Dolores Romero Morales
Published in: European Journal of Operational Research, Issue 24 issues/year, 2024, ISSN 0377-2217
Publisher: Elsevier BV
DOI: 10.1016/j.ejor.2024.01.002

A new model for counterfactual analysis for functional data

Author(s): Emilio Carrizosa, Jasone Ramírez-Ayerbe, Dolores Romero Morales
Published in: Advances in Data Analysis and Classification, Issue 4 issues/year, 2023, ISSN 1862-5355
Publisher: Springer
DOI: 10.1007/s11634-023-00563-5

A cost-sensitive constrained Lasso

Author(s): Rafael Blanquero, Emilio Carrizosa, Pepa Ramírez-Cobo, M. Remedios Sillero-Denamiel
Published in: Advances in Data Analysis and Classification, 2020, ISSN 1862-5347
Publisher: Springer Verlag
DOI: 10.1007/s11634-020-00389-5

The tree based linear regression model for hierarchical categorical variables

Author(s): Emilio Carrizosa, Laust Hvas Mortensen, Dolores Romero Morales, M. Remedios Sillero-Denamiel
Published in: Expert Systems with Applications, 2022, ISSN 0957-4174
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2022.117423

On clustering and interpreting with rules by means of mathematical optimization

Author(s): Emilio Carrizosa, Kseniia Kurishchenko, Alfredo Marín, Dolores Romero Morales
Published in: Computers & Operations Research, Issue Volume 154, June 2023, 106180, 2023, ISSN 1873-765X
Publisher: ELSEVIER
DOI: 10.1016/j.cor.2023.106180

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

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

Design Space of Origin‐Destination Data Visualization

Author(s): Tennekes, Martijn; Chen, Min
Published in: Computer Graphics Forum, Issue 3, 2021, ISSN 1467-8659
Publisher: John Wiley & Sons Ltd.
DOI: 10.1111/cgf.14310

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

Author(s): Emilio Carrizosa, Jasone Ramírez-Ayerbe, Dolores Romero Morales
Published in: Expert Systems with Applications, Issue 24 issues/year, 2024, ISSN 0957-4174
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2023.121954

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

Author(s): Emilio Carrizosa, Marcela Galvis Restrepo, Dolores Romero Morales
Published in: Applied Intelligence, 2024, ISSN 1573-7497
Publisher: Springer
DOI: 10.1007/s10489-024-05576-x

Cost-sensitive probabilistic predictions for support vector machines

Author(s): Sandra Benítez-Peña, Rafael Blanquero, Emilio Carrizosa, Pepa Ramírez-Cobo
Published in: European Journal of Operational Research, Issue 24 issues/year, 2024, ISSN 0377-2217
Publisher: Elsevier BV
DOI: 10.1016/j.ejor.2023.09.027

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

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

Expert-driven trace clustering with instance-level constraints

Author(s): Pieter De Koninck, Klaas Nelissen, Seppe vanden Broucke, Bart Baesens, Monique Snoeck & Jochen De Weerdt
Published in: Knowledge and Information Systems, Issue Volume 63, 2021, ISSN 0219-1377
Publisher: Springer Verlag
DOI: 10.1007/s10115-021-01548-6

Optimal randomized classification trees

Author(s): Rafael Blanquero, Emilio Carrizosa, Cristina Molero-Río, Dolores Romero Morales
Published in: Computers & Operations Research, Issue Volume 132, August 2021, 2021, ISSN 0305-0548
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.cor.2021.105281

Counterfactual analysis and target setting in benchmarking

Author(s): Peter Bogetoft, Jasone Ramírez-Ayerbe, Dolores Romero Morales
Published in: European Journal of Operational Research, Issue 24 issues/year, 2024, ISSN 0377-2217
Publisher: Elsevier BV
DOI: 10.1016/j.ejor.2024.01.005

Interpreting clusters via prototype optimization

Author(s): Emilio Carrizosa, Kseniia Kurishchenko, Alfredo Marín, Dolores Romero Morales
Published in: Omega, Issue Volume 107, February 2022, 102543, 2022, ISSN 0305-0483
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.omega.2021.102543

Mathematical optimization in classification and regression trees

Author(s): Emilio Carrizosa, Cristina Molero-Río, Dolores Romero Morales
Published in: TOP, Issue Volume 29, Issue 3, 2021, Page(s) 5-33, ISSN 1134-5764
Publisher: Springer Verlag
DOI: 10.1007/s11750-021-00594-1

Feature Selection in Data Envelopment Analysis: A Mathematical Optimization approach

Author(s): Sandra Benítez-Peña, Peter Bogetoft, Dolores Romero Morales
Published in: Omega, 2019, Page(s) 102068, ISSN 0305-0483
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.omega.2019.05.004

Sparsity in optimal randomized classification trees

Author(s): Rafael Blanquero, Emilio Carrizosa, Cristina Molero-Río, Dolores Romero Morales
Published in: European Journal of Operational Research, 2019, ISSN 0377-2217
Publisher: 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

Author(s): 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
Published in: European Journal of Operational Research, Issue Volume 295, Issue 2, 2021, Page(s) 648-663, ISSN 0377-2217
Publisher: Elsevier BV
DOI: 10.1016/j.ejor.2021.04.016

On Clustering Categories of Categorical Predictors in Generalized Linear

Author(s): Emilio Carrizosa and Marcela Galvis Restrepo and Dolores Romero Morales
Published in: Expert Systems with Applications, Issue Volume 182, 2021, ISSN 0957-4174
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2021.115245

GeoRF: a geospatial random forest

Author(s): Margot Geerts, Seppe vanden Broucke, Jochen De Weerdt
Published in: Data Mining and Knowledge Discovery, 2024, ISSN 1573-756X
Publisher: Springer Nature
DOI: 10.1007/s10618-024-01046-7

On sparse optimal regression trees

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

On mathematical optimization for clustering categories in contingency tables

Author(s): Emilio Carrizosa, Vanesa Guerrero, Dolores Romero Morales
Published in: Advances in Data Analysis and Classification, 2022, ISSN 1862-5347
Publisher: Springer Verlag
DOI: 10.1007/s11634-022-00508-4

Predicting student performance using sequence classification with time-based windows

Author(s): Galina Deeva, Johannes De Smedt, Cecilia Saint-Pierre, Richard Weber, Jochen De Weerdt
Published in: Expert Systems with Applications, Issue 09574174, 2022, ISSN 0957-4174
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2022.118182

Supervised feature compression based on counterfactual analysis

Author(s): V. Piccialli, D. Romero Morales, C. Salvatore
Published in: European Journal of Operational Research, 2024, ISSN 0377-2217
Publisher: 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

Author(s): M. Chen and M. Sbert
Published in: Entropy, Issue 10994300, 2022, Page(s) 228, ISSN 1099-4300
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/e24020228