• Cargo: Académico
  • Licenciado en Ciencias de la Computación. Universidad de la Habana. Cuba.
  • Maestría en Informática Aplicada. Universidad de Matanzas. Cuba.
  • Diploma de Estudios Avanzados. Universidad de Alicante. España.
  • Doctor en Ciencias de la Computación. Universidad de Alicante. España.

Localización

  • Oficina 412, 4º piso, Edificio San Agustín, Campus San Andrés.
  • Teléfono (en Chile): 41 2345351.
  • Teléfono (desde el extranjero): +56 41 2345351.

Asignaturas

  • Inteligencia artificial.
  • Taller de programación I.
  • Taller de programación II.
  • Reconocimiento de patrones.
  • Algorítmica avanzada.

Áreas de interés y de conocimiento

  • Minería de datos.
  • Reconocimiento de patrones.

Proyectos

  • 2016-2017: Proyecto DIN_01/2016. “Plataforma de acceso en lenguaje natural a repositorios de datos abiertos”. Investigador principal.
  • 2012: Universidad de Alicante. “Diseño de un algoritmo para el cálculo de la cadena media basado en la distancia de edición”. Colaborador.
  • 2010-2011: Universidad de Alicante. “Diseño de un algoritmo para el cómputo de un contorno medio y su aplicación a la selección de instancias”. Colaborador.
  • 2008: Universidad de Alicante. “Aplicación de la Distancia de Levenshtein a la caracterización de regularidades en contornos 2D”.  Colaborador.

Publicaciones

2017
 [23] Energy Efficiency Monitoring in a Coal Boiler Based on Optical Variables and Artificial Intelligence(Hugo O. Garces, Jose Abreu, Pedro Gómez-Meneses, Claudia Carrasco, Luis Arias, Alejandro J. Rojas, Andres Fuentes)In IFAC-PapersOnLine, volume 50, 2017. [pdf] [bibtex]
 2016
 [22]  Machine Learning Prediction of the Energy Gap of Graphene Nanoflakes Using Topological Autocorrelation Vectors (Michael Fernandez, Jose I. Abreu, Hongqing Shi, Amanda S. Barnard)In ACS Combinatorial Science, volume 18, 2016. (PMID: 27598830) [pdf][doi][bibtex]
 2015
 [21]  Large-scale recognition of high-affinity protease–inhibitor complexes using topological autocorrelation and support vector machines (Michael Fernandez, Shandar Ahmad, Jose I. Abreu, Akinori Sarai)In Molecular Simulation, volume 0, 2015. [pdf] [doi][bibtex]
 2014
 [20]  A new iterative algorithm for computing a quality approximate median of strings based on edit operations (J. Abreu, J.R. Rico-Juan)In Pattern Recognition Letters, volume 36, 2014.  [pdf][bibtex]
 2013
 [19]  UMCC_DLSI: Reinforcing a Ranking Algorithm with Sense Frequencies and Multidimensional Semantic Resources to solve Multilingual Word Sense Disambiguation (Yoan Gutiérrez, Yenier Castañeda, Andy González, Rainel Estrada, Dennys Puig, José Abreu, Roger Pérez, Antonio Fernández, Andrés Montoyo, Rafael Muñoz, Franc Camara)In Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)Association for Computational Linguistics, 2013. [pdf][bibtex]
 [18] UMCC_DLSI: Semantic and Lexical features for detection and classification Drugs in biomedical texts (Armando Collazo, Alberto Ceballo, Dennys Puig, Yoan Gutiérrez, José Abreu, Roger Pérez, Antonio Fernández, Andrés Montoyo, Rafael Muñoz, Franc Camara)In Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)Association for Computational Linguistics, 2013. [pdf][bibtex]
 [17] UMCC_DLSI-(EPS): Paraphrases Detection Based on Semantic Distance (Héctor Dávila, Antonio Fernández, Alexander Chávez, Yoan Gutiérrez, Armando Collazo, José Abreu, Andrés Montoyo, Rafael Muñoz)In Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)Association for Computational Linguistics, 2013. [pdf][bibtex]
 [16] UMCC_DLSI: Textual Similarity based on Lexical-Semantic features (Alexander Chávez, Héctor Dávila, Yoan Gutiérrez, Armando Collazo, José Abreu, Antonio Fernández, Andrés Montoyo, Rafael Muñoz)In Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual SimilarityAssociation for Computational Linguistics, 2013. [pdf][bibtex]
 [15] UMCC_DLSI-(SA): Using a ranking algorithm and informal features to solve Sentiment Analysis in Twitter (Yoan Gutiérrez, Andy González, Roger Pérez, José Abreu, Antonio Fernández, Alejandro Mosquera, Andrés Montoyo, Rafael Muñoz, Franc Camara)In Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)Association for Computational Linguistics, 2013. [pdf][bibtex]
 [14] An improved fast edit approach for two-string approximated mean computation applied to OCR.(José Abreu, Juan Rico-Juan)In Pattern Recognition Letters, volume 34, 2013. [pdf][bibtex]
2011
 [13] Characterization of contour regularities based on the Levenshtein edit distance (José Abreu, Juan Rico-Juan)In Pattern Recognition Letters, volume 32, 2011.  [pdf][bibtex]
2010
 [12] A new editing scheme based on a Fast two-String median computation applied to OCR (José Abreu, Juan Rico-Juan)Chapter in Structural, Syntactic, and Statistical Pattern Recognition (Edwin Hancock, Richard Wilson, Terry Windeatt, Ilkay Ulusoy, Francisco Escolano, eds.)Springer Berlin / Heidelberg, volume 6218, 2010. (10.1007/978-3-642-14980-1_74) . [pdf][bibtex]
2009
 [11] Contour regularity extraction based on string edit distance (José Abreu, Juan Rico-Juan)Chapter in Pattern Recognition and Image Analysis (Helder Araujo, Ana Mendonça, Armando Pinho, María Torres, eds.)Springer Berlin / Heidelberg, volume 5524, 2009. (10.1007/978-3-642-02172-5_22) [pdf][bibtex]
2008
 [10] Classification of conformational stability of protein mutants from 3D pseudo-folding graph representation of protein sequences using support vector machines (Michael Fernández, Julio Caballero, Leyden Fernández, José Abreu, Gianco Acosta)In Proteins: Structure, Function and Genetics, volume 70, 2008. (http://www.scopus.com/inward/record.url?eid=2-s2.0-37349058879&partnerID=40&md5=4b7d6b5621bc1ab360cdc6ad4731b6bf http://onlinelibrary.wiley.com/doi/10.1002/prot.21524/abstract) (cited By (since 1996) 16) [pdf][bibtex]
  [9] Classification of voltage-gated K+ ion channels from 3D pseudo-folding graph representation of protein sequences using genetic algorithm-optimized support vector machines (Michael Fernández, Leyden Fernández, José Abreu, Miguel Garriga)In Journal of Molecular Graphics and Modelling, volume 26, 2008. (http://www.scopus.com/inward/record.url?eid=2-s2.0-42749090642&partnerID=40&md5=01486f23c594fede840361bf77db5e8a http://www.ncbi.nlm.nih.gov/pubmed/18289899) (cited By (since 1996) 3) [pdf][bibtex]
  [8] Proteochemometric modeling of the inhibition complexes of matrix metalloproteinases with N-hydroxy-2-[(phenylsulfonyl)amino]acetamide derivatives using topological autocorrelation interaction matrix and model ensemble averaging (Michael Fernández, Leyden Fernández, Julio Caballero, José Abreu, Grethel Reyes)In Chemical Biology and Drug Design, volume 72, 2008. (http://www.scopus.com/inward/record.url?eid=2-s2.0-45449097699&partnerID=40&md5=ed90b738325ea77d70beae342ad49836  http://onlinelibrary.wiley.com/doi/10.1111/j.1747-0285.2008.00675.x/abstract) (cited By (since 1996) 2) [pdf][bibtex]
  [7] Proteometric modelling of protein conformational stability using amino acid sequence autocorrelation vectors and genetic algorithm-optimised support vector machines (Michael Fernández, Leyden Fernández, Pedro Sánchez, Julio Caballero, José Abreu)In Molecular Simulation, volume 34, 2008. (http://www.scopus.com/inward/record.url?eid=2-s2.0-50549087952&partnerID=40&md5=7a510957704e228bf9fbf5a8b9831abb http://onlinelibrary.wiley.com/doi/10.1111/j.1747-0285.2008.00675.x/abstract http://www.citeulike.org/article/3173479) (cited By (since 1996) 2) [pdf][bibtex]
2007
  [6] Protein radial distribution function (P-RDF) and Bayesian-Regularized Genetic Neural Networks for modeling protein conformational stability: Chymotrypsin inhibitor 2 mutants (Michael Fernández, Julio Caballero, Leyden Fernández, José Abreu, Miguel Garriga)In Journal of Molecular Graphics and Modelling, volume 26, 2007. [pdf]
[5] Comparative modeling of the conformational stability of chymotrypsin inhibitor 2 protein mutants using amino acid sequence autocorrelation (AASA) and amino acid 3D autocorrelation (AA3DA) vectors and ensembles of Bayesian-regularized genetic neural networks. (Michael Fernández, José Abreu, Julio Caballero, Miguel Garriga, Leyden Fernández)In Molecular Simulation, volume 33, 2007. [pdf][bibtex]
[4] Classification of conformational stability of protein mutants from 2D graph representation of protein sequences using support vector machines (Michael Fernández, Julio Caballero, Leyden Fernández, José Abreu, Gianco Acosta)In Molecular Simulation, volume 33, 2007. [pdf][bibtex]
[3] Amino acid sequence autocorrelation vectors and Bayesian-regularized genetic neural networks for modeling protein conformational stability: Gene V protein mutants (Leyden Fernández, Julio Caballero, José Abreu, Michael Fernández)In Proteins: Structure, Function and Genetics, volume 67, 2007.  [pdf][bibtex]
[2] Proteometric study of ghrelin receptor function variations upon mutations using amino acid sequence autocorrelation vectors and genetic algorithm-based least square support vector machines (Julio Caballero, Leyden Fernández, Miguel Garriga, José Abreu, Simona Collina, Michael Fernández)In Journal of Molecular Graphics and Modelling, volume 26, 2007. [pdf][bibtex]
2006
[1] Amino acid sequence autocorrelation vectors and ensembles of bayesian-regularized genetic neural networks for prediction of conformational stability of human lysozyme mutants (Julio Caballero, Leyden Fernández, José Abreu, Michael Fernández)In Journal of Chemical Information and Modeling, volume 46, 2006. [pdf][bibtex]