2022
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Trasierras, A M; Luna, J M; Ventura, S Improving the understanding of cancer in a descriptive way: An emerging pattern mining‐based approach Journal Article International Journal of Intelligent Systems, 37 (4), pp. 2822-2848, 2022. Links | BibTeX | Tags: Cancer, Clinical Data Mining, Data Science, Medical Data Mining, Pattern Mining @article{Trasierras2022,
title = {Improving the understanding of cancer in a descriptive way: An emerging pattern mining‐based approach},
author = {Trasierras, A. M. and Luna, J. M. and Ventura, S.},
url = {https://onlinelibrary.wiley.com/doi/full/10.1002/int.22503},
year = {2022},
date = {2022-01-01},
journal = {International Journal of Intelligent Systems},
volume = {37},
number = {4},
pages = {2822-2848},
keywords = {Cancer, Clinical Data Mining, Data Science, Medical Data Mining, Pattern Mining},
pubstate = {published},
tppubtype = {article}
}
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Pérez, E; Ventura, S An ensemble-based convolutional neural network model powered by a genetic algorithm for melanoma diagnosis Journal Article Neural Computing and Applications, 34 (13), pp. 10429–10448, 2022. Links | BibTeX | Tags: Cancer, Data Preprocessing, Data Science, Deep Learning, Evolutionary Algorithms, Genetic Algorithms, Medical Data Mining, Melanoma Diagnosis, Special Issue @article{perez2022ensemble,
title = {An ensemble-based convolutional neural network model powered by a genetic algorithm for melanoma diagnosis},
author = {P'{e}rez, E. and Ventura, S.},
url = {https://link.springer.com/article/10.1007/s00521-021-06655-7},
year = {2022},
date = {2022-01-01},
journal = {Neural Computing and Applications},
volume = {34},
number = {13},
pages = {10429--10448},
publisher = {Springer},
keywords = {Cancer, Data Preprocessing, Data Science, Deep Learning, Evolutionary Algorithms, Genetic Algorithms, Medical Data Mining, Melanoma Diagnosis, Special Issue},
pubstate = {published},
tppubtype = {article}
}
|
2021
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Pérez, E; Ventura, S Melanoma Recognition by Fusing Convolutional Blocks and Dynamic Routing between Capsules Journal Article Cancers, 13 (19), pp. 4974, 2021. Links | BibTeX | Tags: Cancer, Data Preprocessing, Data Science, Deep Learning, Medical Data Mining, Melanoma Diagnosis, Special Issue @article{perez2021melanoma,
title = {Melanoma Recognition by Fusing Convolutional Blocks and Dynamic Routing between Capsules},
author = {P'{e}rez, E. and Ventura, S.},
url = {https://www.mdpi.com/2072-6694/13/19/4974},
doi = {10.3390/cancers13194974},
year = {2021},
date = {2021-01-01},
journal = {Cancers},
volume = {13},
number = {19},
pages = {4974},
publisher = {MDPI},
keywords = {Cancer, Data Preprocessing, Data Science, Deep Learning, Medical Data Mining, Melanoma Diagnosis, Special Issue},
pubstate = {published},
tppubtype = {article}
}
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2020
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Jiménez-Vacas, J M; Herrero-Aguayo, V; Montero-Hidalgo, A J; Gómez-Gómez, E; Fuentes-Fayos, A C; León-González, A J; Sáez-Martínez, P; Alors-Pérez, E; Pedraza-Arévalo, S; González-Serrano, T; Reyes, O; Martínez-López, A; Sánchez-Sánchez, R; Ventura, S; Yubero-Serrano, E M; Requena-Tapia, M J; Castaño, J P; Gahete, M D; Luque, R M Dysregulation of the splicing machinery is directly associated to aggressiveness of prostate cancer Journal Article EBioMedicine, 51 , pp. 1–13, 2020, ISSN: 23523964. Links | BibTeX | Tags: Cancer, Medical Data Mining @article{Jimenez-Vacas2020,
title = {Dysregulation of the splicing machinery is directly associated to aggressiveness of prostate cancer},
author = {Jim'{e}nez-Vacas, J. M. and Herrero-Aguayo, V. and Montero-Hidalgo, A. J. and G\'{o}mez-G\'{o}mez, E. and Fuentes-Fayos, A. C. and Le\'{o}n-Gonz\'{a}lez, A. J. and S\'{a}ez-Mart\^{i}nez, P. and Alors-P'{e}rez, E. and Pedraza-Ar'{e}valo, S. and Gonz\'{a}lez-Serrano, T. and Reyes, O. and Mart\^{i}nez-L\'{o}pez, A. and S\'{a}nchez-S\'{a}nchez, R. and Ventura, S. and Yubero-Serrano, E. M. and Requena-Tapia, M. J. and Casta\~{n}o, J. P. and Gahete, M. D. and Luque, R. M.},
url = {https://www.sciencedirect.com/science/article/pii/S2352396419307492},
doi = {10.1016/j.ebiom.2019.11.008},
issn = {23523964},
year = {2020},
date = {2020-01-01},
journal = {EBioMedicine},
volume = {51},
pages = {1--13},
keywords = {Cancer, Medical Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Delgado-Osuna, J A; García-Martínez, C; Gómez-Barbadillo, J; Ventura, S Heuristics for interesting class association rule mining a colorectal cancer database Journal Article Information Processing and MA.gement, 57 (3), pp. 1–15, 2020, ISSN: 03064573. Links | BibTeX | Tags: Association Rule Mining, Cancer, Medical Data Mining @article{Delgado-Osuna2020a,
title = {Heuristics for interesting class association rule mining a colorectal cancer database},
author = {Delgado-Osuna, J. A. and Garc\^{i}a-Mart\^{i}nez, C. and G\'{o}mez-Barbadillo, J. and Ventura, S.},
url = {https://www.sciencedirect.com/science/article/pii/S0306457319313123},
doi = {10.1016/j.ipm.2020.102207},
issn = {03064573},
year = {2020},
date = {2020-01-01},
journal = {Information Processing and MA.gement},
volume = {57},
number = {3},
pages = {1--15},
keywords = {Association Rule Mining, Cancer, Medical Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Pérez, E; Reyes, O; Ventura, S Convolutional neural networks for the automatic diagnosis of melanoma: An extensive experimental study Journal Article Medical image analysis, 67 , pp. 101858, 2020. Links | BibTeX | Tags: Cancer, Data Preprocessing, Data Science, Deep Learning, Medical Data Mining, Melanoma Diagnosis @article{Perez2020,
title = {Convolutional neural networks for the automatic diagnosis of melanoma: An extensive experimental study},
author = {P'{e}rez, E. and Reyes, O. and Ventura, S.},
url = {https://www.sciencedirect.com/science/article/pii/S136184152030222X},
year = {2020},
date = {2020-01-01},
journal = {Medical image analysis},
volume = {67},
pages = {101858},
publisher = {Elsevier},
keywords = {Cancer, Data Preprocessing, Data Science, Deep Learning, Medical Data Mining, Melanoma Diagnosis},
pubstate = {published},
tppubtype = {article}
}
|
Reyes, O; Pérez, E; Luque, R; Castaño, J; Ventura, S A supervised machine learning-based methodology for analyzing dysregulation in splicing machinery: An application in cancer diagnosis Journal Article Artificial Intelligence in Medicine, 108 , pp. 101950, 2020. Links | BibTeX | Tags: Cancer, Data Preprocessing, Data Science, Medical Data Mining, Melanoma Diagnosis @article{Reyes2020,
title = {A supervised machine learning-based methodology for analyzing dysregulation in splicing machinery: An application in cancer diagnosis},
author = {Reyes, O. and P'{e}rez, E. and Luque, R. and Casta\~{n}o, J. and Ventura, S.},
url = {https://www.sciencedirect.com/science/article/pii/S0933365719312187},
year = {2020},
date = {2020-01-01},
journal = {Artificial Intelligence in Medicine},
volume = {108},
pages = {101950},
publisher = {Elsevier},
keywords = {Cancer, Data Preprocessing, Data Science, Medical Data Mining, Melanoma Diagnosis},
pubstate = {published},
tppubtype = {article}
}
|
2019
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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}
}
|