2022
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Ramírez, A; Feldt, R; Romero, J R A Taxonomy of Information Attributes for Test Case Prioritisation: Applicability, Machine Learning Journal Article ACM Transactions on Software Engineering and Methodology, 2022. Links | BibTeX | Tags: Data Preprocessing, Predictive Models, Software analytics @article{ramirez2022taxonomy,
title = {A Taxonomy of Information Attributes for Test Case Prioritisation: Applicability, Machine Learning},
author = {Ram\^{i}rez, A. and Feldt, R. and Romero, J. R.},
url = {https://dl.acm.org/doi/10.1145/3511805},
doi = {10.1145/3511805},
year = {2022},
date = {2022-01-01},
journal = {ACM Transactions on Software Engineering and Methodology},
publisher = {Association for Computing Machinery},
keywords = {Data Preprocessing, Predictive Models, Software analytics},
pubstate = {published},
tppubtype = {article}
}
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2020
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Hassan, S U; Aljohani, N R; Idrees, N; Sarwar, R; Nawaz, R; Martínez-Cámara, E; Ventura, S; Herrera, F Predicting literature's early impact with sentiment Analysis in Twitter Journal Article Knowledge-Based Systems, 192 , pp. 1–10, 2020, ISSN: 09507051. Links | BibTeX | Tags: Predictive Models @article{Hassan2020,
title = {Predicting literature's early impact with sentiment Analysis in Twitter},
author = {Hassan, S. U. and Aljohani, N. R. and Idrees, N. and Sarwar, R. and Nawaz, R. and Mart\^{i}nez-C\'{a}mara, E. and Ventura, S. and Herrera, F.},
url = {https://www.sciencedirect.com/science/article/pii/S095070511930629X},
doi = {10.1016/j.knosys.2019.105383},
issn = {09507051},
year = {2020},
date = {2020-01-01},
journal = {Knowledge-Based Systems},
volume = {192},
pages = {1--10},
keywords = {Predictive Models},
pubstate = {published},
tppubtype = {article}
}
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Luque, C; Luna, J M; Ventura, S A semantically enriched text mining system for clinical decision support Journal Article Computational Intelligence, pp. 1–26, 2020. Links | BibTeX | Tags: Clinical Data Mining, Predictive Models @article{Luque2020,
title = {A semantically enriched text mining system for clinical decision support},
author = {Luque, C. and Luna, J. M. and Ventura, S.},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/coin.12322?af=R&utm_source=researcher_app&utm_medium=referral&utm_campaign=RESR_MRKT_Researcher_inbound},
doi = {10.1111/coin.12322},
year = {2020},
date = {2020-01-01},
journal = {Computational Intelligence},
pages = {1--26},
keywords = {Clinical Data Mining, Predictive Models},
pubstate = {published},
tppubtype = {article}
}
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2019
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Del Río-Moreno, M; Alors-Pérez, E; González-Rubio, S; Ferrín, G; Reyes, O; Rodríguez-Perálvarez, M; Sánchez-Frías, M E; Sánchez-Sánchez, R; Ventura, S; López-Miranda, J; Kineman, R D; De La Mata, M; Castaño, J P; Gahete, M D; Luque, R M Dysregulation of the Splicing Machinery Is Associated to the Development of Nonalcoholic Fatty Liver Disease Journal Article Journal of Clinical Endocrinology and Metabolism, 104 , pp. 3389-3402, 2019. Links | BibTeX | Tags: Clinical Data Mining, Predictive Models @article{DelR\^{i}o-Moreno20193389,
title = {Dysregulation of the Splicing Machinery Is Associated to the Development of Nonalcoholic Fatty Liver Disease},
author = {Del R\^{i}o-Moreno, M. and Alors-P'{e}rez, E. and Gonz\'{a}lez-Rubio, S. and Ferr\^{i}n, G. and Reyes, O. and Rodr\^{i}guez-Per\'{a}lvarez, M. and S\'{a}nchez-Fr\^{i}as, M. E. and S\'{a}nchez-S\'{a}nchez, R. and Ventura, S. and L\'{o}pez-Miranda, J. and Kineman, R. D. and De La Mata, M. and Casta\~{n}o, J. P. and Gahete, M. D. and Luque, R. M.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068565410&doi=10.1210%2fjc.2019-00021&partnerID=40&md5=af64fc02bdff1ee33d01d11edfd8c754},
doi = {10.1210/jc.2019-00021},
year = {2019},
date = {2019-01-01},
journal = {Journal of Clinical Endocrinology and Metabolism},
volume = {104},
pages = {3389-3402},
keywords = {Clinical Data Mining, Predictive Models},
pubstate = {published},
tppubtype = {article}
}
|
Delgado-Osuna, J A; García-Martinez, C; Ventura, S; Barbadillo, J G Obtaining tractable and interpretable descriptions for cases with complications from a colorectal cancer database Inproceedings Proceedings - IEEE Symposium on Computer-Based Medical Systems, pp. 459-464, 2019. Links | BibTeX | Tags: Associative Classification, Cancer, Clinical Data Mining, Predictive Models @inproceedings{Delgado-Osuna2019459,
title = {Obtaining tractable and interpretable descriptions for cases with complications from a colorectal cancer database},
author = {Delgado-Osuna, J. A. and Garc\^{i}a-Martinez, C. and Ventura, S. and Barbadillo, J. G.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85071025177&doi=10.1109%2fCBMS.2019.00095&partnerID=40&md5=e8e8d64cc515babe3d00aa9c5e930944},
doi = {10.1109/CBMS.2019.00095},
year = {2019},
date = {2019-01-01},
booktitle = {Proceedings - IEEE Symposium on Computer-Based Medical Systems},
volume = {2019-June},
pages = {459-464},
keywords = {Associative Classification, Cancer, Clinical Data Mining, Predictive Models},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Reyes, O; Luque, R M; Castano, J; Ventura, S A supervised methodology for analyzing dysregulation in splicing machinery: An application in cancer diagnosis Inproceedings Proceedings - IEEE Symposium on Computer-Based Medical Systems, pp. 120-125, 2019. Links | BibTeX | Tags: Clinical Data Mining, Predictive Models @inproceedings{Reyes2019120,
title = {A supervised methodology for analyzing dysregulation in splicing machinery: An application in cancer diagnosis},
author = {Reyes, O. and Luque, R. M. and Castano, J. and Ventura, S.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070981525&doi=10.1109%2fCBMS.2019.00035&partnerID=40&md5=9ab69988d7f1bd5a5aeaaa62facd6c1b},
doi = {10.1109/CBMS.2019.00035},
year = {2019},
date = {2019-01-01},
booktitle = {Proceedings - IEEE Symposium on Computer-Based Medical Systems},
volume = {2019-June},
pages = {120-125},
keywords = {Clinical Data Mining, Predictive Models},
pubstate = {published},
tppubtype = {inproceedings}
}
|