2022
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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}
}
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Ramírez, A; Romero, J M Synergies between artificial intelligence and software engineering: evolution and trends Incollection Virvou, M; Tsihrintzis, G A; Bourbakis, N G; Jain, L C (Ed.): Handbook on Artificial Intelligence-Empowered Applied Software Engineering, 1 , Springer, 2022. BibTeX | Tags: Deep Learning, Search-based Software Engineering, Software analytics, Supervised Learning, Unsupervised Learning @incollection{ramirez2022chapter1,
title = {Synergies between artificial intelligence and software engineering: evolution and trends},
author = {Ram\^{i}rez, A. and Romero, J. M.},
editor = {Virvou, M. and Tsihrintzis, G. A. and Bourbakis, N. G. and Jain, L. C.},
year = {2022},
date = {2022-01-01},
booktitle = {Handbook on Artificial Intelligence-Empowered Applied Software Engineering},
volume = {1},
publisher = {Springer},
keywords = {Deep Learning, Search-based Software Engineering, Software analytics, Supervised Learning, Unsupervised Learning},
pubstate = {published},
tppubtype = {incollection}
}
|
Ramírez, A; Miranda, B Foundations of Machine Learning for Software Engineering Incollection Romero, J R; Chicano, F; Medina-Bulo, I (Ed.): Optimising the software development process with artificial intelligence, Springer, 2022. BibTeX | Tags: Classification, Clustering, Data Preprocessing, Deep Learning, Software analytics, Supervised Learning, Unsupervised Learning @incollection{ramirez2022chapter2,
title = {Foundations of Machine Learning for Software Engineering},
author = {Ram\^{i}rez, A. and Miranda, B.},
editor = {Romero, J. R. and Chicano, F. and Medina-Bulo, I.},
year = {2022},
date = {2022-01-01},
booktitle = {Optimising the software development process with artificial intelligence},
publisher = {Springer},
keywords = {Classification, Clustering, Data Preprocessing, Deep Learning, Software analytics, Supervised Learning, Unsupervised Learning},
pubstate = {published},
tppubtype = {incollection}
}
|
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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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}
}
|
2019
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Reyes, O; Pérez, E; Ventura, S Performing melanoma diagnosis by an effective convolutional architecture Inproceedings Skin Lesion Analysis Towards Melanoma Detection, ISIC 2019, pp. 4, 2019. BibTeX | Tags: Deep Learning, Melanoma Diagnosis @inproceedings{Reyes2019d,
title = {Performing melanoma diagnosis by an effective convolutional architecture},
author = {Reyes, O. and P'{e}rez, E. and Ventura, S.},
year = {2019},
date = {2019-08-01},
booktitle = {Skin Lesion Analysis Towards Melanoma Detection, ISIC 2019},
pages = {4},
keywords = {Deep Learning, Melanoma Diagnosis},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Pérez, E; Reyes, O; Ventura, S Automatic melanoma diagnosis: a review Inproceedings VII Scientific Congress of Researchers of the University of Cordoba, Spain, 2019. BibTeX | Tags: Deep Learning, Melanoma Diagnosis @inproceedings{UCO_Perez2019,
title = {Automatic melanoma diagnosis: a review},
author = {P'{e}rez, E. and Reyes, O. and Ventura, S.},
year = {2019},
date = {2019-02-01},
booktitle = {VII Scientific Congress of Researchers of the University of Cordoba},
address = {Spain},
keywords = {Deep Learning, Melanoma Diagnosis},
pubstate = {published},
tppubtype = {inproceedings}
}
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Abouzid, H; Chakkor, O; Reyes, O; Ventura, S Signal speech reconstruction and noise removal using convolutional denoising audioencoders with neural deep learning Journal Article Analog Integrated Circuits and Signal Processing, 100 , pp. 501-512, 2019. Links | BibTeX | Tags: Deep Learning @article{Abouzid2019501,
title = {Signal speech reconstruction and noise removal using convolutional denoising audioencoders with neural deep learning},
author = {Abouzid, H. and Chakkor, O. and Reyes, O. and Ventura, S.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064177534&doi=10.1007%2fs10470-019-01446-6&partnerID=40&md5=c1fe7249e0b4a421487c81e14cf41873},
doi = {10.1007/s10470-019-01446-6},
year = {2019},
date = {2019-01-01},
journal = {Analog Integrated Circuits and Signal Processing},
volume = {100},
pages = {501-512},
keywords = {Deep Learning},
pubstate = {published},
tppubtype = {article}
}
|
Hassan, S -U; Waheed, H; Aljohani, N R; Ali, M; Ventura, S; Herrera, F Virtual learning environment to predict withdrawal by leveraging deep learning Journal Article International Journal of Intelligent Systems, 34 , pp. 1935-1952, 2019. Links | BibTeX | Tags: Deep Learning, Educational Data Mining @article{Hassan20191935,
title = {Virtual learning environment to predict withdrawal by leveraging deep learning},
author = {Hassan, S.-U. and Waheed, H. and Aljohani, N. R. and Ali, M. and Ventura, S. and Herrera, F.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067978123&doi=10.1002%2fint.22129&partnerID=40&md5=650a0585882918f6f306f3f634f97569},
doi = {10.1002/int.22129},
year = {2019},
date = {2019-01-01},
journal = {International Journal of Intelligent Systems},
volume = {34},
pages = {1935-1952},
keywords = {Deep Learning, Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Reyes, O; Ventura, S Performing Multi-Target Regression via a Parameter Sharing-Based Deep Network Journal Article International Journal of Neural Systems, 2019. Links | BibTeX | Tags: Deep Learning, Multi-target Regression @article{Reyes2019,
title = {Performing Multi-Target Regression via a Parameter Sharing-Based Deep Network},
author = {Reyes, O. and Ventura, S.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067205599&doi=10.1142%2fS012906571950014X&partnerID=40&md5=0b6b7082baa454a67e58c550b748f547},
doi = {10.1142/S012906571950014X},
year = {2019},
date = {2019-01-01},
journal = {International Journal of Neural Systems},
keywords = {Deep Learning, Multi-target Regression},
pubstate = {published},
tppubtype = {article}
}
|