Research and Innovation Staff Exchange Network of European Data Scientists

Informazioni relative al progetto

NeEDS

ID dell’accordo di sovvenzione: 822214

DOI

10.3030/822214

Progetto chiuso

Data della firma CE 4 Ottobre 2018

Data di avvio 1 Gennaio 2019

Data di completamento 31 Ottobre 2024

Finanziato da

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Costo totale

€ 1 168 400,00

Contributo UE

€ 1 168 400,00

Coordinato da

COPENHAGEN BUSINESS SCHOOL
Denmark

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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.

Pubblicazioni

Peer reviewed articles (31)

Constrained Naïve Bayes with application to unbalanced data classification

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

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

Autori: Rafael Van Belle, Jochen De Weerdt
Pubblicato in: IEEE Transactions on Knowledge and Data Engineering, 2024, ISSN 1558-2191
Editore: IEEE
DOI: 10.1109/tkde.2024.3381240

Variable selection for Naïve Bayes classification

Autori: Rafael Blanquero, Emilio Carrizosa, Pepa Ramírez-Cobo, M. Remedios Sillero-Denamiel
Pubblicato in: Computers & Operations Research, Numero Volume 135, 2021, ISSN 0305-0548
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.cor.2021.105456

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

Autori: Rafael Blanquero, Emilio Carrizosa, Cristina Molero-Río, Dolores Romero Morales
Pubblicato in: Computers & Operations Research, 2023, ISSN 0305-0548
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.cor.2023.106152

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

Autori: Rafaël Van Belle, Bart Baesens, Jochen De Weerdt
Pubblicato in: Decision Support Systems, Numero Vol. 164, 2023, ISSN 0167-9236
Editore: Elsevier BV
DOI: 10.1016/j.dss.2022.113866

Mathematical optimization modelling for group counterfactual explanations

Autori: Emilio Carrizosa, Jasone Ramírez-Ayerbe, Dolores Romero Morales
Pubblicato in: European Journal of Operational Research, Numero 24 issues/year, 2024, ISSN 0377-2217
Editore: Elsevier BV
DOI: 10.1016/j.ejor.2024.01.002

A new model for counterfactual analysis for functional data

Autori: Emilio Carrizosa, Jasone Ramírez-Ayerbe, Dolores Romero Morales
Pubblicato in: Advances in Data Analysis and Classification, Numero 4 issues/year, 2023, ISSN 1862-5355
Editore: Springer
DOI: 10.1007/s11634-023-00563-5

A cost-sensitive constrained Lasso

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

The tree based linear regression model for hierarchical categorical variables

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

On clustering and interpreting with rules by means of mathematical optimization

Autori: Emilio Carrizosa, Kseniia Kurishchenko, Alfredo Marín, Dolores Romero Morales
Pubblicato in: Computers & Operations Research, Numero Volume 154, June 2023, 106180, 2023, ISSN 1873-765X
Editore: ELSEVIER
DOI: 10.1016/j.cor.2023.106180

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

Autori: Y. Jin, T. J. A. de Jong, M. Tennekes, and M. Chen
Pubblicato in: IEEE Transactions on Visualization and Computer Graphics, Numero 30(1), 2024, Pagina/e online: 1-11, ISSN 1077-2626
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tvcg.2023.3327178

Design Space of Origin‐Destination Data Visualization

Autori: Tennekes, Martijn; Chen, Min
Pubblicato in: Computer Graphics Forum, Numero 3, 2021, ISSN 1467-8659
Editore: John Wiley & Sons Ltd.
DOI: 10.1111/cgf.14310

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

Autori: Emilio Carrizosa, Jasone Ramírez-Ayerbe, Dolores Romero Morales
Pubblicato in: Expert Systems with Applications, Numero 24 issues/year, 2024, ISSN 0957-4174
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2023.121954

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

Autori: Emilio Carrizosa, Marcela Galvis Restrepo, Dolores Romero Morales
Pubblicato in: Applied Intelligence, 2024, ISSN 1573-7497
Editore: Springer
DOI: 10.1007/s10489-024-05576-x

Cost-sensitive probabilistic predictions for support vector machines

Autori: Sandra Benítez-Peña, Rafael Blanquero, Emilio Carrizosa, Pepa Ramírez-Cobo
Pubblicato in: European Journal of Operational Research, Numero 24 issues/year, 2024, ISSN 0377-2217
Editore: Elsevier BV
DOI: 10.1016/j.ejor.2023.09.027

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

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

Expert-driven trace clustering with instance-level constraints

Autori: Pieter De Koninck, Klaas Nelissen, Seppe vanden Broucke, Bart Baesens, Monique Snoeck & Jochen De Weerdt
Pubblicato in: Knowledge and Information Systems, Numero Volume 63, 2021, ISSN 0219-1377
Editore: Springer Verlag
DOI: 10.1007/s10115-021-01548-6

Optimal randomized classification trees

Autori: Rafael Blanquero, Emilio Carrizosa, Cristina Molero-Río, Dolores Romero Morales
Pubblicato in: Computers & Operations Research, Numero Volume 132, August 2021, 2021, ISSN 0305-0548
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.cor.2021.105281

Counterfactual analysis and target setting in benchmarking

Autori: Peter Bogetoft, Jasone Ramírez-Ayerbe, Dolores Romero Morales
Pubblicato in: European Journal of Operational Research, Numero 24 issues/year, 2024, ISSN 0377-2217
Editore: Elsevier BV
DOI: 10.1016/j.ejor.2024.01.005

Interpreting clusters via prototype optimization

Autori: Emilio Carrizosa, Kseniia Kurishchenko, Alfredo Marín, Dolores Romero Morales
Pubblicato in: Omega, Numero Volume 107, February 2022, 102543, 2022, ISSN 0305-0483
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.omega.2021.102543

Mathematical optimization in classification and regression trees

Autori: Emilio Carrizosa, Cristina Molero-Río, Dolores Romero Morales
Pubblicato in: TOP, Numero Volume 29, Numero 3, 2021, Pagina/e 5-33, ISSN 1134-5764
Editore: Springer Verlag
DOI: 10.1007/s11750-021-00594-1

Feature Selection in Data Envelopment Analysis: A Mathematical Optimization approach

Autori: Sandra Benítez-Peña, Peter Bogetoft, Dolores Romero Morales
Pubblicato in: Omega, 2019, Pagina/e 102068, ISSN 0305-0483
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.omega.2019.05.004

Sparsity in optimal randomized classification trees

Autori: Rafael Blanquero, Emilio Carrizosa, Cristina Molero-Río, Dolores Romero Morales
Pubblicato in: European Journal of Operational Research, 2019, ISSN 0377-2217
Editore: 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

Autori: 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
Pubblicato in: European Journal of Operational Research, Numero Volume 295, Numero 2, 2021, Pagina/e 648-663, ISSN 0377-2217
Editore: Elsevier BV
DOI: 10.1016/j.ejor.2021.04.016

On Clustering Categories of Categorical Predictors in Generalized Linear

Autori: Emilio Carrizosa and Marcela Galvis Restrepo and Dolores Romero Morales
Pubblicato in: Expert Systems with Applications, Numero Volume 182, 2021, ISSN 0957-4174
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2021.115245

GeoRF: a geospatial random forest

Autori: Margot Geerts, Seppe vanden Broucke, Jochen De Weerdt
Pubblicato in: Data Mining and Knowledge Discovery, 2024, ISSN 1573-756X
Editore: Springer Nature
DOI: 10.1007/s10618-024-01046-7

On sparse optimal regression trees

Autori: Rafael Blanquero, Emilio Carrizosa, Cristina Molero-Río, Dolores Romero Morales
Pubblicato in: European Journal of Operational Research, Numero Volume 299, Numero 3, 2022, Pagina/e 1045-1054, ISSN 0377-2217
Editore: Elsevier BV
DOI: 10.1016/j.ejor.2021.12.022

On mathematical optimization for clustering categories in contingency tables

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

Predicting student performance using sequence classification with time-based windows

Autori: Galina Deeva, Johannes De Smedt, Cecilia Saint-Pierre, Richard Weber, Jochen De Weerdt
Pubblicato in: Expert Systems with Applications, Numero 09574174, 2022, ISSN 0957-4174
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2022.118182

Supervised feature compression based on counterfactual analysis

Autori: V. Piccialli, D. Romero Morales, C. Salvatore
Pubblicato in: European Journal of Operational Research, 2024, ISSN 0377-2217
Editore: 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

Autori: M. Chen and M. Sbert
Pubblicato in: Entropy, Numero 10994300, 2022, Pagina/e 228, ISSN 1099-4300
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/e24020228