| Amino Acid Sequence Autocorrelation vectors and ensembles of Bayesian-Regularized Genetic Neural Networks for prediction of conformational stability of human lysozyme mutants J Caballero, L Fernandez, JI Abreu, M Fernández Journal of chemical information and modeling 46 (3), 1255-1268, 2006 | 69 | 2006 |
| Proteometric study of ghrelin receptor function variations upon mutations using amino acid sequence autocorrelation vectors and genetic algorithm-based least square support … J Caballero, L Fernández, M Garriga, JI Abreu, S Collina, M Fernández Journal of Molecular Graphics and Modelling 26 (1), 166-178, 2007 | 67 | 2007 |
| Amino acid sequence autocorrelation vectors and Bayesian‐regularized genetic neural networks for modeling protein conformational stability: Gene V protein mutants L Fernández, J Caballero, JI Abreu, M Fernández Proteins: Structure, Function, and Bioinformatics 67 (4), 834-852, 2007 | 57 | 2007 |
| Classification of conformational stability of protein mutants from 3D pseudo‐folding graph representation of protein sequences using support vector machines M Fernández, J Caballero, L Fernández, JI Abreu, G Acosta Proteins: Structure, Function, and Bioinformatics 70 (1), 167-175, 2008 | 28 | 2008 |
| Protein radial distribution function (P-RDF) and Bayesian-Regularized Genetic Neural Networks for modeling protein conformational stability: Chymotrypsin inhibitor 2 mutants M Fernández, J Caballero, L Fernández, JI Abreu, M Garriga Journal of Molecular Graphics and Modelling 26 (4), 748-759, 2007 | 28 | 2007 |
| UMCC_DLSI: Reinforcing a Ranking Algorithm with Sense Frequencies and Multidimensional Semantic Resources to solve Multilingual Word Sense Disambiguation. Y Gutiérrez, Y Castaneda, A González, R Estrada, DD Puig, JI Abreu, ... SemEval@ NAACL-HLT, 241-249, 2013 | 25 | 2013 |
| Machine Learning Prediction of the Energy Gap of Graphene Nanoflakes Using Topological Autocorrelation Vectors M Fernandez, JI Abreu, H Shi, AS Barnard ACS Combinatorial Science 18 (11), 661-664, 2016 | 24 | 2016 |
| A new iterative algorithm for computing a quality approximate median of strings based on edit operations J Abreu, JR Rico-Juan Pattern Recognition Letters 36, 74-80, 2014 | 23 | 2014 |
| Deep learning and multilingual sentiment analysis on social media data: An overview MM Agüero-Torales, JIA Salas, AG López-Herrera Applied Soft Computing 107, 107373, 2021 | 19 | 2021 |
| Assessing the best edit in perturbation-based iterative refinement algorithms to compute the median string P Mirabal, J Abreu, D Seco Pattern Recognition Letters 120, 104-111, 2019 | 8 | 2019 |
| Comparative modeling of the conformational stability of chymotrypsin inhibitor 2 protein mutants using amino acid sequence autocorrelation (AASA) and amino acid 3D … M Fernandez, JI Abreu, J Caballero, M Garriga, L Fernandez Molecular Simulation 33 (13), 1045-1056, 2007 | 8 | 2007 |
| UMCC_DLSI: Semantic and Lexical features for detection and classification Drugs in biomedical texts A Collazo, A Ceballo, DD Puig, Y Gutiérrez, JI Abreu, R Pérez, AF Orquín, ... Second Joint Conference on Lexical and Computational Semantics (* SEM …, 2013 | 7 | 2013 |
| Proteochemometric Modeling of the Inhibition Complexes of Matrix Metalloproteinases with N‐Hydroxy‐2‐[(Phenylsulfonyl) Amino] Acetamide Derivatives Using Topological … M Fernández, L Fernández, J Caballero, JI Abreu, G Reyes Chemical biology & drug design 72 (1), 65-78, 2008 | 7 | 2008 |
| Energy Efficiency Monitoring in a Coal Boiler Based on Optical Variables and Artificial Intelligence HO Garcés, J Abreu, P Gómez, C Carrasco, L Arias, AJ Rojas, A Fuentes IFAC-PapersOnLine 50 (1), 13904-13909, 2017 | 6 | 2017 |
| Proteometric modelling of protein conformational stability using amino acid sequence autocorrelation vectors and genetic algorithm-optimised support vector machines M Fernandez, L Fernandez, P Sanchez, J Caballero, JI Abreu Molecular Simulation 34 (9), 857-872, 2008 | 6 | 2008 |
| Classification of voltage-gated K+ ion channels from 3D pseudo-folding graph representation of protein sequences using genetic algorithm-optimized support vector machines M Fernández, L Fernández, JI Abreu, M Garriga Journal of Molecular Graphics and Modelling 26 (8), 1306-1314, 2008 | 6 | 2008 |
| UCSC-NLP at SemEval-2017 Task 4: Sense n-grams for Sentiment Analysis in Twitter J Abreu, I Castro, C Martínez, S Oliva, Y Gutiérrez Proceedings of the 11th International Workshop on Semantic Evaluation …, 2017 | 5 | 2017 |
| UMCC_DLSI: Textual similarity based on lexical-semantic features A Chávez, H Dávila, Y Gutiérrez, A Collazo, JI Abreu, AF Orquín, ... Second Joint Conference on Lexical and Computational Semantics (* SEM …, 2013 | 5 | 2013 |
| An improved fast edit approach for two-string approximated mean computation applied to OCR J Abreu, JR Rico-Juan Pattern Recognition Letters 34 (5), 496-504, 2013 | 5 | 2013 |
| Classification of conformational stability of protein mutants from 2D graph representation of protein sequences using support vector machines M Fernández, J Caballero, L Fernández, JI Abreu, G Acosta Molecular Simulation 33 (11), 889-896, 2007 | 5 | 2007 |
Michael Fernandez LlamosaMachine Learning SpecialistDirección de correo verificada de applusrtd.com
