PRAIA has acquired knowledge and conducts research using different techniques in the fields mentioned above. These techniques range from:
Data preprocessing techniques, including normalizations, typifications, missing value management, outlier management, imperfect supervision, principal component, independent component extraction, etc.
Traditional feature extraction techniques based on a priori knowledge, including representation spaces for geometric, statistical, or decision-theoretic based models, metric and pseudo-metric spaces, and syntactic and structural model-oriented encodings.
Joaquim Arlandis, Rafael Llobet Azpitarte, J. Ramón Navarro-Cerdan, Laura Arnal Benedicto, François Signol, Juan-Carlos Perez-Cortes. (2024). Feature identification using hypotheses of relevance and a 2D-cascade of SEQENS ensembles. researchsquare, . https://doi.org/10.21203/rs.3.rs-3987671/v1
@article{jarlandis2024feature,
author = {Joaquim Arlandis and Rafael Llobet Azpitarte and J. Ramón Navarro-Cerdan and Laura Arnal Benedicto and François Signol and Juan-Carlos Perez-Cortes},
title = {Feature identification using hypotheses of relevance and a 2D-cascade of SEQENS ensembles},
journal = {researchsquare},
year = {2024},
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doi = {https://doi.org/10.21203/rs.3.rs-3987671/v1},
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Pedro Pons Suñer, Laura Arnal Benedicto, José Ramón Navarro Cerdán, François Signol. (2024). ITI-IQA: a Toolbox for Heterogeneous Univariate and Multivariate Missing Data Imputation Quality Assessment. arxiv.org, . https://doi.org/10.48550/arXiv.2407.11767
@article{ppons2024iti-iqa:,
author = {Pedro Pons Suñer and Laura Arnal Benedicto and José Ramón Navarro Cerdán and François Signol},
title = {ITI-IQA: a Toolbox for Heterogeneous Univariate and Multivariate Missing Data Imputation Quality Assessment},
journal = {arxiv.org},
year = {2024},
volume = {},
number = {},
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doi = {https://doi.org/10.48550/arXiv.2407.11767},
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}
José Ramón Navarro Cerdán, David Millán Escrivá, Andrés Larroza, Pedro Pons-Suñer, Juan Carlos Pérez Cortés. (2023). A Deep GCN Approach Based on Multidimensional Projections and Classification to Cybercrime Detection in a True Imbalanced Problem with Semisupervision. SSRN(4519572), . https://dx.doi.org/10.2139/ssrn.4519572
@article{jramon2023a,
author = {José Ramón Navarro Cerdán and David Millán Escrivá and Andrés Larroza and Pedro Pons-Suñer and Juan Carlos Pérez Cortés},
title = {A Deep GCN Approach Based on Multidimensional Projections and Classification to Cybercrime Detection in a True Imbalanced Problem with Semisupervision},
journal = {SSRN},
year = {2023},
volume = {},
number = {4519572},
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doi = {https://dx.doi.org/10.2139/ssrn.4519572},
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François Signol, Laura Arnal, J. Ramón Navarro-Cerdán, Rafael Llobet, Joaquim Arlandis, Juan-Carlos Perez-Cortes. (2023). SEQENS: an ensemble method for relevant gene identification in microarray data. Computers in Biology and Medecine, . https://doi.org/10.1016/j.compbiomed.2022.106413
@article{fsignol2023seqens:,
author = {François Signol and Laura Arnal and J. Ramón Navarro-Cerdán and Rafael Llobet and Joaquim Arlandis and Juan-Carlos Perez-Cortes},
title = {SEQENS: an ensemble method for relevant gene identification in microarray data},
journal = {Computers in Biology and Medecine},
year = {2023},
volume = {},
number = {},
pages = {},
publisher = {},
doi = {https://doi.org/10.1016/j.compbiomed.2022.106413},
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}
V. Ortiz-Castelló, F.J. Pérez-Benito, O. del-Tejo-Catalá, I. Salvador-Igual, R. Llobet, J-C. Perez-Cortes. (2022). Extended A Priori Probability (EAPP): a data-driven approach for machine learning binary classification tasks. IEEE Access 10, 120074-120085. ISBN:2169-3536 https://doi.org/10.1109/ACCESS.2022.3221936
@article{vortiz-castello2022extended,
author = {V. Ortiz-Castelló and F.J. Pérez-Benito and O. del-Tejo-Catalá and I. Salvador-Igual and R. Llobet and J-C. Perez-Cortes},
title = {Extended A Priori Probability (EAPP): a data-driven approach for machine learning binary classification tasks},
journal = {IEEE Access},
year = {2022},
volume = {10},
number = {},
pages = {120074-120085},
publisher = {},
doi = {https://doi.org/10.1109/ACCESS.2022.3221936},
isbn = {2169-3536}
}
Vicent Ortiz Castelló, Omar del Tejo Catalá, Ismael Salvador Igual, Juan-Carlos Perez-Cortes. (2020). Real-time on-board pedestrian detection using generic single-stage algorithms and on-road databases. International Journal of Advanced Robotic Systems, . ISBN:1729-8806 https://doi.org/10.1177/1729881420929175
@article{vortiz2020real-time,
author = {Vicent Ortiz Castelló and Omar del Tejo Catalá and Ismael Salvador Igual and Juan-Carlos Perez-Cortes},
title = {Real-time on-board pedestrian detection using generic single-stage algorithms and on-road databases},
journal = {International Journal of Advanced Robotic Systems},
year = {2020},
volume = {},
number = {},
pages = {},
publisher = {},
doi = {https://doi.org/10.1177/1729881420929175},
isbn = {1729-8806}
}
Vicent Ortiz Castelló, Omar del Tejo Catalá, Ismael Salvador Igual, Juan-Carlos Perez-Cortes. (2020). High-Profile VRU Detection on Resource-Constrained Hardware Using YOLOv3/v4 on BDD100K. Journal of Imaging. Multidisciplinary Digital Publishing Institute 6(142), . https://doi.org/10.3390/jimaging6120142
@article{vortiz2020high-profile,
author = {Vicent Ortiz Castelló and Omar del Tejo Catalá and Ismael Salvador Igual and Juan-Carlos Perez-Cortes},
title = {High-Profile VRU Detection on Resource-Constrained Hardware Using YOLOv3/v4 on BDD100K},
journal = {Journal of Imaging. Multidisciplinary Digital Publishing Institute},
year = {2020},
volume = {6},
number = {142},
pages = {},
publisher = {},
doi = {https://doi.org/10.3390/jimaging6120142},
isbn = {}
}
F.J. Pérez-Benito, J.M. García-Gómez, E. Navarro-Pardo, J.A. Conejero. (2020). Community detection‐based deep neural network architectures: A fully automated framework based on Likert‐scale data. Mathematical Methods in the Applied Sciences 43(14), 8290-8301. https://doi.org/10.1002/mma.6567
@article{fperez-benito2020community,
author = {F.J. Pérez-Benito and J.M. García-Gómez and E. Navarro-Pardo and J.A. Conejero},
title = {Community detection‐based deep neural network architectures: A fully automated framework based on Likert‐scale data},
journal = {Mathematical Methods in the Applied Sciences},
year = {2020},
volume = {43},
number = {14},
pages = {8290-8301},
publisher = {},
doi = {https://doi.org/10.1002/mma.6567},
isbn = {}
}
P.A. Solares-Hernández, F.A. Manzano, F.J. Pérez-Benito, J.A. Conejero. (2020). Divisibility Patterns within Pascal Divisibility Networks. Mathematics 8(2), 254. https://doi.org/10.3390/math8020254
@article{psolares-hernandez2020divisibility,
author = {P.A. Solares-Hernández and F.A. Manzano and F.J. Pérez-Benito and J.A. Conejero},
title = {Divisibility Patterns within Pascal Divisibility Networks},
journal = {Mathematics},
year = {2020},
volume = {8},
number = {2},
pages = {254},
publisher = {},
doi = {https://doi.org/10.3390/math8020254},
isbn = {}
}
José Ramón Navarro Cerdán, Rafael Llobet Azpitarte, Joaquim Arlandis, Juan Carlos Pérez Cortés. (2016). Composition of constraint, hypothesis and error models to improve interaction in human–machine interfaces. Information Fusion, . http://10.1016/j.inffus.2015.09.001
@article{jramon2016composition,
author = {José Ramón Navarro Cerdán and Rafael Llobet Azpitarte and Joaquim Arlandis and Juan Carlos Pérez Cortés},
title = {Composition of constraint, hypothesis and error models to improve interaction in human–machine interfaces},
journal = {Information Fusion},
year = {2016},
volume = {},
number = {},
pages = {},
publisher = {},
doi = {http://10.1016/j.inffus.2015.09.001},
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}