Cerruela-Garcia G - Search Results

1

Grab'Em: A Novel Graph-Based Method for Combining Feature Subset Selectors.

de Haro-Garcia A, Toledano JP, Cerruela-Garcia G, Garcia-Pedrajas N. de Haro-Garcia A, et al. Among authors: cerruela garcia g. IEEE Trans Cybern. 2022 May;52(5):2942-2954. doi: 10.1109/TCYB.2020.3018815. Epub 2022 May 19. IEEE Trans Cybern. 2022. PMID: 33027013

2

Graph-Based Feature Selection Approach for Molecular Activity Prediction.

Cerruela-García G, Cuevas-Muñoz JM, García-Pedrajas N. Cerruela-García G, et al. J Chem Inf Model. 2022 Apr 11;62(7):1618-1632. doi: 10.1021/acs.jcim.1c01578. Epub 2022 Mar 22. J Chem Inf Model. 2022. PMID: 35315648 Free PMC article.

3

Improving the combination of results in the ensembles of prototype selectors.

Cerruela-García G, de Haro-García A, Toledano JP, García-Pedrajas N. Cerruela-García G, et al. Neural Netw. 2019 Oct;118:175-191. doi: 10.1016/j.neunet.2019.06.013. Epub 2019 Jul 2. Neural Netw. 2019. PMID: 31299623

4

Boosted feature selectors: a case study on prediction P-gp inhibitors and substrates.

Cerruela García G, García-Pedrajas N. Cerruela García G, et al. J Comput Aided Mol Des. 2018 Nov;32(11):1273-1294. doi: 10.1007/s10822-018-0171-5. Epub 2018 Oct 26. J Comput Aided Mol Des. 2018. PMID: 30367310

5

Effective Feature Selection Method for Class-Imbalance Datasets Applied to Chemical Toxicity Prediction.

Antelo-Collado A, Carrasco-Velar R, García-Pedrajas N, Cerruela-García G. Antelo-Collado A, et al. Among authors: cerruela garcia g. J Chem Inf Model. 2021 Jan 25;61(1):76-94. doi: 10.1021/acs.jcim.0c00908. Epub 2020 Dec 22. J Chem Inf Model. 2021. PMID: 33350301

6

A nonparametric weighted feature extraction-based method for c-Jun N-terminal kinase-3 inhibitor prediction.

Cerruela García G, García-Pedrajas N. Cerruela García G, et al. J Mol Graph Model. 2019 Jul;90:235-242. doi: 10.1016/j.jmgm.2019.05.006. Epub 2019 May 11. J Mol Graph Model. 2019. PMID: 31103916

7

Influence of feature rankers in the construction of molecular activity prediction models.

Cerruela-García G, Pérez-Parra Toledano J, de Haro-García A, García-Pedrajas N. Cerruela-García G, et al. J Comput Aided Mol Des. 2020 Mar;34(3):305-325. doi: 10.1007/s10822-019-00273-1. Epub 2019 Dec 31. J Comput Aided Mol Des. 2020. PMID: 31893338

8

Filter feature selectors in the development of binary QSAR models.

Cerruela García G, Pérez-Parras Toledano J, de Haro García A, García-Pedrajas N. Cerruela García G, et al. SAR QSAR Environ Res. 2019 May;30(5):313-345. doi: 10.1080/1062936X.2019.1588160. SAR QSAR Environ Res. 2019. PMID: 31112077

9

A Proposal for Local $k$ Values for $k$ -Nearest Neighbor Rule.

Garcia-Pedrajas N, Romero Del Castillo JA, Cerruela-Garcia G. Garcia-Pedrajas N, et al. IEEE Trans Neural Netw Learn Syst. 2017 Feb;28(2):470-475. doi: 10.1109/TNNLS.2015.2506821. Epub 2015 Dec 29. IEEE Trans Neural Netw Learn Syst. 2017. PMID: 26731778

10

Multilabel and Missing Label Methods for Binary Quantitative Structure-Activity Relationship Models: An Application for the Prediction of Adverse Drug Reactions.

Pérez-Parras Toledano J, García-Pedrajas N, Cerruela-García G. Pérez-Parras Toledano J, et al. Among authors: cerruela garcia g. J Chem Inf Model. 2019 Oct 28;59(10):4120-4130. doi: 10.1021/acs.jcim.9b00611. Epub 2019 Sep 26. J Chem Inf Model. 2019. PMID: 31514503

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