📃 Publicaciones
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Exploiting discourse structure of traditional digital media to enhance automatic fake news detection. Alba Bonet-Jover, Alejandro Piad-Morffis, Estela Saquete, Patricio Martínez-Barco, Miguel Ángel García-Cumbreras, Expert Systems with Applications, 2021.
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Automatic extension of corpora from the intelligent ensembling of eHealth knowledge discovery systems outputs. Juan Pablo Consuegra-Ayala, Yoan Gutiérrez, Alejandro Piad-Morffis, Yudivian Almeida-Cruz, Manuel Palomar, Journal of Biomedical Informatics, 2021.
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General-purpose hierarchical optimization of machine learning pipelines with grammatical evolution. Suilan Estévez-Velarde, Yoan Gutiérrez, Andrés Montoyo, Yudivián Almeida-Cruz, Information Sciences, 2021.
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Hacia la democratización del aprendizaje de máquinas. Ernesto Luis Estevanell-Valladares, Suilan Estevez-Velarde, Alejandro Piad-Morffis, Yoan Gutiérrez, Andrés Montoyo, Yudivian Almeida-Cruz, Revista Cubana de Transformación Digital, 2021.
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A computational ecosystem to support eHealth Knowledge Discovery technologies in Spanish. Alejandro Piad-Morffis, Yoan Gutiérrez, Suilan Estévez-Velarde, Rafael Muñoz, Journal of Biomedical Informatics, 2020.
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AutoGOAL: Automatic Discovery of Heterogeneous Machine Learning Pipelines with Probabilistic Grammars. Suilan Estévez-Velarde (UH) Yoan Gutiérrez Andrés Montoyo Yudivián Almeida-Cruz, International Congress on Computational Linguistics, COLING, 2020.
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Demo Application for the AutoGOAL Framework. Suilan Estévez-Velarde, Alejandro Piad-Morffis, Yoan Gutiérrez, Andrés Montoyo, Rafael Muñoz, Yudivián Almeida-Cruz, International Congress on Computational Linguistics, COLING, 2020.
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Overview of the eHealth Knowledge Discovery Challenge at IberLEF 2020. Alejandro Piad-Morffis (UH) Yoan Gutiérrez Hian Cañizares-Diaz(UH) Suilan Estévez-Velarde (UH) Rafael Muñoz Andrés Montoyo Yudivián Almeida-Cruz (UH), Proceedings of the Iberian Languages Evaluation Forum at SEPLN, 2020.
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UH-MatCom at eHealth-KD Challenge 2020: Deep-Learning and Ensemble Models for Knowledge Discovery in Spanish Documents. Juan Pablo Consuegra-Ayala, Manuel Palomar, __, 2020.
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UH-MAJA-KD at eHealth-KD Challenge 2020: Deep Learning Models for Knowledge Discovery in Spanish eHealth Documents. Alejandro Rodríguez-Pérez, Ernesto Quevedo-Caballero, Jorge Mederos-Alvarado, Rocío Cruz-Linares, Juan Pablo Consuegra-Ayala, __, .
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A corpus to support eHealth Knowledge Discovery technologies. Alejandro Piad-Morffis, Yoan Gutiérrez, Rafael Muñoz, Journal of Biomedical Research, 2019.
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Overview of the eHealth Knowledge Discovery Challenge at IberLEF 2019. Alejandro Piad-Morffis, Yoan Gutiérrez, Juan Pablo Consuegra-Ayala, Suilan Estevez-Velarde, Yudivián Almeida-Cruz, Rafael Muñoz, Andrés Montoyo, __, 2019.
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TASS 2018, The Strength of Deep Learning in Language Understanding Tasks. Alejandro Piad-Morffis, Yoan Gutiérrez, SEPLN, 2019.
🗨️ Presentaciones
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Defining General-Purpose Machine Learning Problems for AutoML. Suilan Estevez-Velarde, Alejandro Piad-Morffis, Ernesto Luis Estevanell-Valladares, Yoan Gutiérrez, Andrés Montoyo, Rafael Muñoz, Yudivián Almeida-Cruz, KKD Workshop on Machine Learning Automation, Singapore, Indonesia (Online). 2021.
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AutoML with memory: a Meta-learning method based on instances. Daniel Alejandro Valdés Perez, Suilan Estéves Velarde, Alejandro Piad Morffis, International Workshop on Operations Research, La Habana, Cuba (Online). 2021.
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Quantification of Biases and Equity in Machine Learning Algorithms and Data Corpus. Juan Pablo Consuegra Ayala, Yudivián Almeida Cruz, International Workshop on Operations Research, La Habana, Cuba (Online). 2021.
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Deep Learning Approach for Latent Representation of the Style of Texts. Rocío Cruz-Linares, Jorge Ignacio Rodriguez-de-la Vega-Castro, Alejandro Piad-Morffis, International Workshop on Operations Research, La Habana, Cuba (Online). 2021.
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Automated Selection of Clustering Algorithms. Ernesto Luis Estevanell-Valladares, Suilan Estevez-Velarde, Alejandro Piad-Morffis, Yudivián Almeida-Cruz, International Workshop on Operations Research, La Habana, Cuba (Online). 2021.