Man

José Ignacio Abreu Salas

Profesor Auxiliar

UNIVERSIDAD CATOLICA DE LA SANTISIMA CONCEPCION

Concepción, Chile

Líneas de Investigación


Reconocimiento de Patrones; Aprendizaje Automático; Inteligencia Artificial

Educación

  •  Magíster en Informática Aplicada, UNIVERSIDAD DE MATANZAS CAMILO CIENFUEGOS. Cuba, 2008
  •  DEA en Aplicaciones de la Informática, UNIVERSIDAD DE ALICANTE. España, 2009
  •  Aplicaciones de la Informática, UNIVERSIDAD DE ALICANTE. España, 2012
  •  Licenciatura en Ciencia de la Computación, UNIVERSIDAD DE LA HABANA. Cuba, 2005

Experiencia Académica

  •   Profesor Asistente Part Time

    UNIVERSIDAD DE MATANZAS CAMILO CIENFUEGOS

    2005 - 2014

  •   Profesor Auxiliar Full Time

    UNIVERSIDAD CATOLICA DE LA SANTISIMA CONCEPCION

    2015 - A la fecha

Experiencia Profesional

  •   Académico Jornada Completa

    Universidad de Matanzas

    Cuba

    2005 - 2014

  •   Center Analyst Leader

    Everis Centers Ltda

    Chile

    2014 - 2015

  •   Académico por Horas

    Universidad Católica de Temuco

    Chile

    2014 - 2014

  •   Académico

    Universidad Católica de la Santísima Concepción

    Chile

    2015 - A la fecha


 

Article (25)

Assessing the best edit in perturbation-based iterative refinement algorithms to compute the median string
UCSC-NLP at SemEval-2017 Task 4=> Sense n-grams for Sentiment Analysis in Twitter
Large-scale recognition of high-affinity protease–inhibitor complexes using topological autocorrelation and support vector machines
Machine Learning Prediction of the Energy Gap of Graphene Nanoflakes using Topological Autocorrelation Vectors
Machine Learning Prediction of the Energy Gap of Graphene Nanoflakes Using Topological Autocorrelation Vectors
A New Iterative Algorithm for Computing a Quality Approximate Median of Strings based on Edit Operations.
An improved fast edit approach for two-string approximated mean computation applied to OCR.
UMCC_DLSI-(EPS): Paraphrases Detection Based on Semantic Distance.
UMCC_DLSI-(SA): Using a ranking algorithm and informal features to solve Sentiment Analysis in Twitter.
UMCC_DLSI: Semantic and Lexical features for detection and classification Drugs in biomedical texts.
UMCC_DLSI: Textual Similarity based on Lexical-Semantic features.
Characterization of contour regularities based on the Levenshtein edit distance.
A new editing scheme based on a Fast two-String median computation applied to OCR.
Contour regularity extraction based on string edit distance.
Classification of conformational stability of protein mutants from 3D pseudo-folding graph representation of protein sequences using support vector machines.
Classification of voltage-gated K+ ion channels from 3D pseudo-folding graph representation of protein sequences using genetic algorithm-optimized support vector machines.
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.
Proteometric modelling of protein conformational stability using amino acid sequence autocorrelation vectors and genetic algorithm-optimised support vector machines.
Amino acid sequence autocorrelation vectors and Bayesian-regularized genetic neural networks for modeling protein conformational stability: Gene V protein mutants.
Classification of conformational stability of protein mutants from 2D graph representation of protein sequences using support vector machines.
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 networ
Protein radial distribution function (P-RDF) and Bayesian-Regularized Genetic Neural Networks for modeling protein conformational stability: Chymotrypsin inhibitor 2 mutants.
Proteometric study of ghrelin receptor function variations upon mutations using amino acid sequence autocorrelation vectors and genetic algorithm-based least square support vector machines.
Amino acid sequence autocorrelation vectors and ensembles of bayesian-regularized genetic neural networks for prediction of conformational stability of human lysozyme mutants.
Energy Efficiency Monitoring in a Coal Boiler Based on Optical Variables and Artificial Intelligence
2
José Abreu

Profesor Auxiliar

UNIVERSIDAD CATOLICA DE LA SANTISIMA CONCEPCION

Concepción, Chile

1
Diego Seco

Associate Professor

DIICC

Universidad de Concepción

Concepción, Chile

1
Pedro Sánchez

Profesor Full-time

Ingeniería Informática

Universidad Católica de Temuco

Temuco, Chile