Research and Innovation Staff Exchange Network of European Data Scientists

Informacje na temat projektu

NeEDS

Identyfikator umowy o grant: 822214

DOI

10.3030/822214

Projekt został zamknięty

Data podpisania przez KE 4 Października 2018

Data rozpoczęcia 1 Stycznia 2019

Data zakończenia 31 Października 2024

Finansowanie w ramach

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Koszt całkowity

€ 1 168 400,00

Wkład UE

€ 1 168 400,00

Koordynowany przez

COPENHAGEN BUSINESS SCHOOL
Denmark

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

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.

Publikacje

Peer reviewed articles (31)

Constrained Naïve Bayes with application to unbalanced data classification

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

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

Autorzy: Rafael Van Belle, Jochen De Weerdt
Opublikowane w: IEEE Transactions on Knowledge and Data Engineering, 2024, ISSN 1558-2191
Wydawca: IEEE
DOI: 10.1109/tkde.2024.3381240

Variable selection for Naïve Bayes classification

Autorzy: Rafael Blanquero, Emilio Carrizosa, Pepa Ramírez-Cobo, M. Remedios Sillero-Denamiel
Opublikowane w: Computers & Operations Research, Numer Volume 135, 2021, ISSN 0305-0548
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.cor.2021.105456

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

Autorzy: Rafael Blanquero, Emilio Carrizosa, Cristina Molero-Río, Dolores Romero Morales
Opublikowane w: Computers & Operations Research, 2023, ISSN 0305-0548
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.cor.2023.106152

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

Autorzy: Rafaël Van Belle, Bart Baesens, Jochen De Weerdt
Opublikowane w: Decision Support Systems, Numer Vol. 164, 2023, ISSN 0167-9236
Wydawca: Elsevier BV
DOI: 10.1016/j.dss.2022.113866

Mathematical optimization modelling for group counterfactual explanations

Autorzy: Emilio Carrizosa, Jasone Ramírez-Ayerbe, Dolores Romero Morales
Opublikowane w: European Journal of Operational Research, Numer 24 issues/year, 2024, ISSN 0377-2217
Wydawca: Elsevier BV
DOI: 10.1016/j.ejor.2024.01.002

A new model for counterfactual analysis for functional data

Autorzy: Emilio Carrizosa, Jasone Ramírez-Ayerbe, Dolores Romero Morales
Opublikowane w: Advances in Data Analysis and Classification, Numer 4 issues/year, 2023, ISSN 1862-5355
Wydawca: Springer
DOI: 10.1007/s11634-023-00563-5

A cost-sensitive constrained Lasso

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

The tree based linear regression model for hierarchical categorical variables

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

On clustering and interpreting with rules by means of mathematical optimization

Autorzy: Emilio Carrizosa, Kseniia Kurishchenko, Alfredo Marín, Dolores Romero Morales
Opublikowane w: Computers & Operations Research, Numer Volume 154, June 2023, 106180, 2023, ISSN 1873-765X
Wydawca: ELSEVIER
DOI: 10.1016/j.cor.2023.106180

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

Autorzy: Y. Jin, T. J. A. de Jong, M. Tennekes, and M. Chen
Opublikowane w: IEEE Transactions on Visualization and Computer Graphics, Numer 30(1), 2024, Strona(/y) online: 1-11, ISSN 1077-2626
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tvcg.2023.3327178

Design Space of Origin‐Destination Data Visualization

Autorzy: Tennekes, Martijn; Chen, Min
Opublikowane w: Computer Graphics Forum, Numer 3, 2021, ISSN 1467-8659
Wydawca: John Wiley & Sons Ltd.
DOI: 10.1111/cgf.14310

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

Autorzy: Emilio Carrizosa, Jasone Ramírez-Ayerbe, Dolores Romero Morales
Opublikowane w: Expert Systems with Applications, Numer 24 issues/year, 2024, ISSN 0957-4174
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2023.121954

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

Autorzy: Emilio Carrizosa, Marcela Galvis Restrepo, Dolores Romero Morales
Opublikowane w: Applied Intelligence, 2024, ISSN 1573-7497
Wydawca: Springer
DOI: 10.1007/s10489-024-05576-x

Cost-sensitive probabilistic predictions for support vector machines

Autorzy: Sandra Benítez-Peña, Rafael Blanquero, Emilio Carrizosa, Pepa Ramírez-Cobo
Opublikowane w: European Journal of Operational Research, Numer 24 issues/year, 2024, ISSN 0377-2217
Wydawca: Elsevier BV
DOI: 10.1016/j.ejor.2023.09.027

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

Autorzy: Y. Zhang, M. Tennekes, T. De Jong, L. Curier, B. Coecke, and M. Chen
Opublikowane w: ACM Transactions on Interactive Intelligent Systems, 2024, Strona(/y) online: 1-30, ISSN 2160-6455
Wydawca: Association for Computing Machinery (ACM)
DOI: 10.1145/3594552

Expert-driven trace clustering with instance-level constraints

Autorzy: Pieter De Koninck, Klaas Nelissen, Seppe vanden Broucke, Bart Baesens, Monique Snoeck & Jochen De Weerdt
Opublikowane w: Knowledge and Information Systems, Numer Volume 63, 2021, ISSN 0219-1377
Wydawca: Springer Verlag
DOI: 10.1007/s10115-021-01548-6

Optimal randomized classification trees

Autorzy: Rafael Blanquero, Emilio Carrizosa, Cristina Molero-Río, Dolores Romero Morales
Opublikowane w: Computers & Operations Research, Numer Volume 132, August 2021, 2021, ISSN 0305-0548
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.cor.2021.105281

Counterfactual analysis and target setting in benchmarking

Autorzy: Peter Bogetoft, Jasone Ramírez-Ayerbe, Dolores Romero Morales
Opublikowane w: European Journal of Operational Research, Numer 24 issues/year, 2024, ISSN 0377-2217
Wydawca: Elsevier BV
DOI: 10.1016/j.ejor.2024.01.005

Interpreting clusters via prototype optimization

Autorzy: Emilio Carrizosa, Kseniia Kurishchenko, Alfredo Marín, Dolores Romero Morales
Opublikowane w: Omega, Numer Volume 107, February 2022, 102543, 2022, ISSN 0305-0483
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.omega.2021.102543

Mathematical optimization in classification and regression trees

Autorzy: Emilio Carrizosa, Cristina Molero-Río, Dolores Romero Morales
Opublikowane w: TOP, Numer Volume 29, Numer 3, 2021, Strona(/y) 5-33, ISSN 1134-5764
Wydawca: Springer Verlag
DOI: 10.1007/s11750-021-00594-1

Feature Selection in Data Envelopment Analysis: A Mathematical Optimization approach

Autorzy: Sandra Benítez-Peña, Peter Bogetoft, Dolores Romero Morales
Opublikowane w: Omega, 2019, Strona(/y) 102068, ISSN 0305-0483
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.omega.2019.05.004

Sparsity in optimal randomized classification trees

Autorzy: Rafael Blanquero, Emilio Carrizosa, Cristina Molero-Río, Dolores Romero Morales
Opublikowane w: European Journal of Operational Research, 2019, ISSN 0377-2217
Wydawca: 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

Autorzy: 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
Opublikowane w: European Journal of Operational Research, Numer Volume 295, Numer 2, 2021, Strona(/y) 648-663, ISSN 0377-2217
Wydawca: Elsevier BV
DOI: 10.1016/j.ejor.2021.04.016

On Clustering Categories of Categorical Predictors in Generalized Linear

Autorzy: Emilio Carrizosa and Marcela Galvis Restrepo and Dolores Romero Morales
Opublikowane w: Expert Systems with Applications, Numer Volume 182, 2021, ISSN 0957-4174
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2021.115245

GeoRF: a geospatial random forest

Autorzy: Margot Geerts, Seppe vanden Broucke, Jochen De Weerdt
Opublikowane w: Data Mining and Knowledge Discovery, 2024, ISSN 1573-756X
Wydawca: Springer Nature
DOI: 10.1007/s10618-024-01046-7

On sparse optimal regression trees

Autorzy: Rafael Blanquero, Emilio Carrizosa, Cristina Molero-Río, Dolores Romero Morales
Opublikowane w: European Journal of Operational Research, Numer Volume 299, Numer 3, 2022, Strona(/y) 1045-1054, ISSN 0377-2217
Wydawca: Elsevier BV
DOI: 10.1016/j.ejor.2021.12.022

On mathematical optimization for clustering categories in contingency tables

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

Predicting student performance using sequence classification with time-based windows

Autorzy: Galina Deeva, Johannes De Smedt, Cecilia Saint-Pierre, Richard Weber, Jochen De Weerdt
Opublikowane w: Expert Systems with Applications, Numer 09574174, 2022, ISSN 0957-4174
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2022.118182

Supervised feature compression based on counterfactual analysis

Autorzy: V. Piccialli, D. Romero Morales, C. Salvatore
Opublikowane w: European Journal of Operational Research, 2024, ISSN 0377-2217
Wydawca: 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

Autorzy: M. Chen and M. Sbert
Opublikowane w: Entropy, Numer 10994300, 2022, Strona(/y) 228, ISSN 1099-4300
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/e24020228