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2016 IEEE Congress on Evolutionary Computation, CEC 2016(1)
Advances in Intelligent Systems and Computing(1)
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A Fuzzy System Classification Approach for QSAR Modeling of αAmylase and α-Glucosidase Inhibitors
ArticleAbstract: Introduction: This report proposes the application of a new Machine Learning algorithm called FuzzyPalabras claves:Anti-diabetic agents, FURIA-C, induction rule, Lda, machine-learning techniques, QSARAutores:Amilkar Puris, Gerardo M. Casañola-Martin, González‐díaz H., Karel Diéguez-Santana, Rasulev B., Rivera-Borroto O.M.Fuentes:googlescopusA hierarchical clustering method: Applications to educational data
ArticleAbstract: The use of graphical probabilistic models in the field of education has been considered for this resPalabras claves:ACADEMIC PERFORMANCE, Bayesian networks, EM, hierarchical clustering, K2, Pc, student evaluationAutores:Amilkar Puris, Bryon Wladimir Oviedo Bayas, Byron Oviedo, Moral S.Fuentes:googlescopusA physics-based scoring function for protein structural decoys: Dynamic testing on targets of CASP-ROLL
ArticleAbstract: Most successful structure prediction strategies use knowledge-based functions for global optimizatioPalabras claves:Autores:Amilkar Puris, Bello R.R., García Y., Green J.R., Ruiz-Blanco Y.B., Sotomayor-Torres C.M., Yovani Marrero-PonceFuentes:scopusA two QSAR way for antidiabetic agents targeting using α-amylase and α-glucosidase inhibitors: Model parameters settings in artificial intelligence techniques
ArticleAbstract: This work showed the use of 0-2D Dragon molecular descriptors in the prediction of α-amylase and α-gPalabras claves:classification model, dragon descriptor, Machine learning, QSAR., α-amylase, α-GlucosidaseAutores:Amilkar Puris, Gerardo M. Casañola-Martin, Hai P.T., Karel Diéguez-Santana, Rivera-Borroto O.M., Thu H.L.T.Fuentes:scopusRecommender Systems and Scratch: An Integrated Approach for Enhancing Computer Programming Learning
ArticleAbstract: Learning computer programming is a challenging process. Among the current approaches for overcomingPalabras claves:programming learning., recommender systems, Scratch, visual programming languagesAutores:Amilkar Puris, Benavides D., Cardenas-Cobo J., Galindo J.A., Pavel Novoa-HernándezFuentes:scopusRecommending exercises in scratch: An integrated approach for enhancing the learning of computer programming
Conference ObjectAbstract: In this chapter we focused on how to improve the learning of computer programming in college studentPalabras claves:Autores:Amilkar Puris, Benavides D., Cárdenas-Cobo J., Pavel Novoa-HernándezFuentes:scopusMeta-heuristic algorithms for the learning of bayesian networks
ArticleAbstract: Introduction This article aims to obtain models based on probabilistic case analysis to help decisioPalabras claves:Autoclass, Hidden variables, Meta–heuristicsAutores:Amilkar Puris, Bryon Wladimir Oviedo Bayas, Byron Oviedo, Emilio ZhumaFuentes:googlescopusLearning Bayesian network by a mesh of points
Conference ObjectAbstract: In this work we applied Variable Mesh Optimization population metaheuristc (VMO) for Bayesian networPalabras claves:Autores:Amilkar Puris, Bryon Wladimir Oviedo Bayas, Luis Moreira, Moral S., Pavel Novoa-HernándezFuentes:scopusTwo step Swarm intelligence to solve the feature selection problem
ArticleAbstract: In this paper we propose a new approach to Swarm Intelligence called Two-Step Swarm Intelligence. ThPalabras claves:Ant colony optimization, Feature selection problem, Particle Swarm Optimization, Rough set theory, Swarm intelligence, Two-Step swarm intelligenceAutores:Amilkar Puris, Bello R.R., García M.M., Gómez Y., Nowé A.Fuentes:scopusUna solución matemáticocomputacional al problema de asignación de docentes a unidades de aprendizaje
ArticleAbstract: In this paper, we discuss the problem of assigning teachers to the learning units. The approach takePalabras claves:Ants System, higher education, Optimization model, Resource allocation problemsAutores:Amilkar Puris, Cardenas-Cobo J., Pavel Novoa-Hernández, Yaima TrujilloFuentes:scopus