Mostrando 8 resultados de: 8
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Publisher
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(2)
2016 IEEE Congress on Evolutionary Computation, CEC 2016(1)
Chemical Biology and Drug Design(1)
Chemometrics and Intelligent Laboratory Systems(1)
Journal of Universal Computer Science(1)
Área temáticas
Programación informática, programas, datos, seguridad(4)
Ciencias de la computación(3)
Artes gráficas y artes decorativas(1)
Biología(1)
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Beyond model interpretability using LDA and decision trees for α-amylase and α-glucosidase inhibitor classification studies
ArticleAbstract: In this report are used two data sets involving the main antidiabetic enzyme targets α-amylase and αPalabras claves:antidiabetic agents, Decision Trees, linear discriminant analysis, QSARAutores:Amilkar Puris, Gerardo M. Casañola-Martin, Karel Diéguez-Santana, Pham-The H., Rasulev B., Rivera-Borroto O.M., Thu H.L.T.Fuentes: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 pbkp_rediction of α-amylase andPalabras 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:scopusFeature selection through Dynamic Mesh Optimization
Conference ObjectAbstract: This paper introduces the Dynamic Mesh Optimization meta-heuristic, which falls under the evolutionaPalabras claves:Evolutionary computation, feature selection, meta-heuristicAutores:Amilkar Puris, Bello R.R., Falcón R., Gómez Y.Fuentes: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 Ant Colony System to solve the feature selection problem
Conference ObjectAbstract: In this paper we propose a new model of ACO called Two-Step Ant Colony System. The basic idea is toPalabras claves:Autores:Amilkar Puris, Bello R.R., García M.M., Martínez Y., Nowé A.Fuentes: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:scopusQSAR models for tyrosinase inhibitory activity description applying modern statistical classification techniques: A comparative study
ArticleAbstract: Cluster analysis (CA), Linear and Quadratic Discriminant Analysis (L(Q)DA), Binary Logistic RegressiPalabras claves:Atom-based quadratic indices, Modern statistical methods, Multiple Comparison Procedures, ROC curve, ToMoCoMD-CARDD software, Tyrosinase inhibitorAutores:Abad C., Amilkar Puris, Cardoso G.C., Gerardo M. Casañola-Martin, Rescigno A., Thu H.L.T., Torrens F., Yovani Marrero-PonceFuentes:scopus