Victor Robles - researchr alias

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Viewing Publication 1 - 6 from 6

2024

Named Entity Recognition in Mammography Radiology Reports using a Multilingual Transfer Learning ApproachEsteban Ricardo Salazar Cabrera, Alejandro Santos-Díaz, Ernestina Menasalvas, José Gerardo Tamez Pena, Victor Robles. cbms 2024: 273-277 [doi]

2023

Comparing Automated Machine Learning Against an Off-the-Shelf Pattern-Based Classifier in a Class Imbalance Problem: Predicting University DropoutLeonardo Cañete-Sifuentes, Victor Robles, Ernestina Menasalvas, Raúl Monroy Borja. access, 11:139147-139156, 2023. [doi]

Structuring Breast Cancer Spanish Electronic Health Records Using Deep LearningAlvaro Garcia-Barragán, Oswaldo Solarte Pabón, Georgiy Nedostup, Mariano Provencio, Ernestina Menasalvas, Victor Robles. cbms 2023: 404-409 [doi]

2022

Deep learning to extract Breast Cancer diagnosis conceptsOswaldo Solarte Pabón, Maria Torrente, Alvaro Garcia-Barragán, Mariano Provencio, Ernestina Menasalvas, Victor Robles. cbms 2022: 13-18 [doi]

2014

A methodology to compare Dimensionality Reduction algorithms in terms of loss of qualityAntonio Gracia Berná, Santiago González, Victor Robles, Ernestina Menasalvas Ruiz. isci, 270:1-27, 2014. [doi]

2006

GA-EDA: A New Hybrid Cooperative Search Evolutionary AlgorithmVictor Robles, José M. Peña 0001, Pedro Larrañaga, María S. Pérez, Vanessa Herves. In José Antonio Lozano, Pedro Larrañaga, Iñaki Inza, Endika Bengoetxea, editors, Towards a New Evolutionary Computation - Advances in the Estimation of Distribution Algorithms. Volume 192 of Studies in Fuzziness and Soft Computing, pages 187-219, Springer, 2006. [doi]

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