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scopus(45)
Autoencoders for Semi-Supervised Water Level Modeling in Sewer Pipes with Sparse Labeled Data
ArticleAbstract: More frequent and thorough inspection of sewer pipes has the potential to save billions in utilitiesPalabras claves:Autoencoders and latent space, Data distribution, Self-supervised, semi-supervised, Sparse data, Supervised, WATERAutores:Casas M., Cecilio Angulo Bahón, Moeslund T.B., Philipsen M.P., Rius F.P., Tur J.M.M.Fuentes:scopusAutonomous discovery of motor constraints in an intrinsically motivated vocal learner
ArticleAbstract: This paper introduces new results on the modeling of early vocal development using artificial intellPalabras claves:Active learning, early vocal development, Gaussian mixture models (GMMs), intrinsic motivations, sensorimotor explorationAutores:Acevedo-Valle J.M., Cecilio Angulo Bahón, Moulin-Frier C.Fuentes:scopusAnalysis of Gas Turbine Compressor Performance after a Major Maintenance Operation Using an Autoencoder Architecture
ArticleAbstract: Machine learning algorithms and the increasing availability of data have radically changed the way hPalabras claves:Artificial Intelligence, Autoencoder, compressor, condition assessment, Gas turbineAutores:Cecilio Angulo Bahón, de Castro-Cros M., Velasco M.Fuentes:scopusAnalyzing human gait and posture by combining feature selection and kernel methods
ArticleAbstract: This paper evaluates a set of computational algorithms for the automatic estimation of human posturePalabras claves:Human gait and posture detection, Inertial body sensor, Kernel methods application, time series analysisAutores:Cabestany J., Cecilio Angulo Bahón, Mallofre A.C., Pardo D.E., Samà A.Fuentes:scopusA Fuzzy Learning Method to Segment Visitors of a Tourist Attraction
Conference ObjectAbstract: We propose in this paper a method which segments demographic and contextual attributes of tourists wPalabras claves:Clustering, Fuzzy, SATISFACTION, TOURISMAutores:Agell N., Armisen A., Cecilio Angulo Bahón, Nguyen J., Sanchez-Hernandez G.Fuentes:scopusA note on the bias in SVMs for multiclassification
ArticleAbstract: During the usual SVM biclassification learning process, the bias is chosen a posteriori as the valuePalabras claves:bias, Multiclassification, support vector machine (SVM)Autores:Cecilio Angulo Bahón, Gonzalez-Abril L., Ortega J.A., Velasco F.Fuentes:scopusA post-processing strategy for SVM learning from unbalanced data
Conference ObjectAbstract: Standard learning algorithms may perform poorly when learning from unbalanced datasets. Based on thePalabras claves:Autores:Cecilio Angulo Bahón, Gonzalez-Abril L., Nuñez H.Fuentes:scopusA self-organizing world: special issue of the 13th edition of the workshop on self-organizing maps and learning vector quantization, clustering and data visualization, WSOM + 2019
OtherAbstract:Palabras claves:Autores:Cecilio Angulo Bahón, Gibert K., Vellido A.Fuentes:scopusA study on output normalization in multiclass SVMs
ArticleAbstract: The use of binary support vector machines (SVMs) in multi-classification is addressed in this paper.Palabras claves:1-v-r SVM, Convex hull, kernel methods, MulticlassificationAutores:Cecilio Angulo Bahón, Gonzalez-Abril L., Ortega J.A., Velasco F.Fuentes:scopusCondition assessment of industrial gas turbine compressor using a drift soft sensor based in autoencoder
ArticleAbstract: Maintenance is the process of preserving the good condition of a system to ensure its reliability anPalabras claves:Artificial Intelligence, Autoencoder, condition assessment, Gas turbine, Soft sensorAutores:Bahilo E., Cecilio Angulo Bahón, de Castro-Cros M., Rosso S., Velasco M.Fuentes:scopus