Mostrando 10 resultados de: 17
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(4)
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS(2)
Advances in Science, Technology and Engineering Systems(1)
American Journal of Surgery(1)
Cell Systems(1)
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Enfermedades(7)
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Classification of hand movements from non-invasive brain signals using lattice neural networks with dendritic processing
Conference ObjectAbstract: EEG-based BCIs rely on classification methods to recognize the brain patterns that encode user’s intPalabras claves:Brain-Computer Interface, Electroencephalogram, Lattice Neural Network, Motor imageryAutores:Antelis J.M., Falcón-Morales L.E., Ojeda L., Roberto Vega, Sanchez-Ante G., Sossa H.Fuentes:scopusCommunity Assessment of the Pbkp_redictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics
ArticleAbstract: A major manifestation of cancer is the alteration of protein measurements. However, proteins are harPalabras claves:Cáncer, crowdsourcing, Genomics, Machine learning, Protein regulation, proteogenomics, proteomicsAutores:Aderinwale T., Afyounian E., Agrawal P., Ali M., Amadoz A., Azuaje F., Bachman J., Bae S., Bhalla S., Boja E., Boutros P.C., Calinawan A.P., Carbonell-Caballero J., Chakraborty P., Chaudhary K., Choi Y., Çubuk C., Dhanda S.K., Dopazo J., Elo L.L., Fenyö D., Fóthi Á., Gevaert O., Granberg K., Greiner R., Guan Y., Heo E., Hidalgo M.R., Jayaswal V., Jeon H., Jeon M., Kaczmarczyk J., Kalmady S.V., Kambara Y., Kang J., Kang K., Kaoma T., Kaur H., Kazan H., Kesar D., Kesseli J., Kim D., Kim K., Kim S., Kim S.Y., Kumar S., Lee B., Lee H., Li H., Li Z., Liu Y., Luethy R., Ma W., Mahajan S., Mahmoudian M., Muller A., Nazarov P.V., Nguyen H., Nykter M., Okuda S., Pal Singh Raghava G., Park S., Payne S.H., Petralia F., Rajapakse J.C., Rantapero T., Reva B., Roberto Vega, Rodriguez H., Ryu H., Saez-Rodriguez J., Salavert F., Saraei S., Sharma R., Siitonen A., Sokolov A., Song X., Stępniak P., Stolovitzky G., Subramanian K., Suni V., Suomi T., Tranchevent L.C., Usmani S.S., Välikangas T., Wang P., Warchoł M., Yang M., Yu H., Yu T., Zhong H.Fuentes:scopusBlood vessel segmentation in retinal images using lattice neural networks
Conference ObjectAbstract: Blood vessel segmentation is the first step in the process of automated diagnosis of cardiovascularPalabras claves:Autores:Falcón-Morales L.E., Guevara E., Roberto Vega, Sanchez-Ante G., Sossa H.Fuentes:scopusA DREAM challenge to build pbkp_rediction models for short-term discontinuation of docetaxel in metastatic castration- resistant prostate cancer
ArticleAbstract: Purpose Docetaxel has a demonstrated survival benefit for patients with metastatic castration-resistPalabras claves:Autores:Abdallah K., Airola A., Aittokallio T., Anghel C., Ankerst D.P., Azima H., Baertsch R., Ballester P.J., Bare C., Bhandari V., Bot B.M., Buchardt A.S., Buturovic L., Cao D., Chalise P., Chang B.H.W., Cho J., Chu T.M., Conjeti S., Correia S., Costello J.C., Dai J., Dai Z., Dang C.C., Dargatz P., Delavarkhan S., Deng D., Dhanik A., Du Y., Elangovan A., Ellis S., Elo L.L., Espiritu S.M., Fan F., Farshi A.B., Freitas A., Fridley B., Fuchs C., Gofer E., Golińska A.K., Graw S., Greiner R., Guinney J., Guo J., Gupta P., Guyer A.I., Han J., Hansen N.R., Hirvonen O., Huang B., Huang C., Hwang J., Ibrahim J.G., Jayaswal V., Jeon J., Ji Z., Juvvadi D., Jyrkkiö S., Kanigel-Winner K., Katouzian A., Kazanov M.D., Khan S.A., Khayyer S., Kim D., Koestler D.C., Kokowicz F., Kondofersky I., Krstajic D., Kumar L., Kurz C., Kyan M., Laajala T.D., Laimighofer M., Lee E., Lesiński W., Li M., Li Y., Lian Q., Liang X., Lim M., Neto E.C., Persona C., Piccolo S.R., Roberto Vega, Ryan C.J., Sartor O., Scher H.I., Seyednasrollah F., Shen L., Soule H.R., Stolovitzky G., Sweeney C.J., Wang T., Winner K.K., Wolfinger R.D., Yates Coley R., Yu T., Zhou F.L.Fuentes:scopusAccurate long-range forecasting of COVID-19 mortality in the USA
ArticleAbstract: The need for improved models that can accurately pbkp_redict COVID-19 dynamics is vital to managingPalabras claves:Autores:Greiner R., Haratian A., Lewis M.A., Maleki Z., Mari Oriyad A., Meghdadi M., Ramazi P., Roberto Vega, Wang H., Wishart D.S.Fuentes:scopusFinding effective ways to (machine) learn fMRI-based classifiers from multi-site data
Conference ObjectAbstract: Machine learning techniques often require many training instances to find useful patterns, especiallPalabras claves:Batch effects, Machine learning, Multi-site fMRIAutores:Greiner R., Roberto VegaFuentes:scopusEmpiric neurocognitive performance profile discovery and interpretation in HIV infection
ArticleAbstract: The measurement and determinants of HIV-associated neurocognitive disorders (HAND) are under intensePalabras claves:HIV-associated neurocognitive disorders, Machine learning, Mixture modeling, neuropsychology, RISK FACTORSAutores:Fujiwara E., Gill M.J., Gomez D., Koenig N., Power C., Roberto VegaFuentes:scopusEarly detection of Alzheimer's using digital image processing through iridology, an alternative method
ArticleAbstract: Over the years, alternative medicine has carried out numerous systematic studies related to the ophtPalabras claves:Alternative Medicine, Alzheimer's, digital image processing, Iridology, Machine learning, Newton's InterpolationAutores:Derlin Morocho, Fernando Hernandez-Carraso, Roberto Vega, Tapia Freddy, Walter Fuertes, Walter Marcelo Fuertes-DíazFuentes:googlescopusNeurocognitive Graphs of First-Episode Schizophrenia and Major Depression Based on Cognitive Features
ArticleAbstract: Neurocognitive deficits are frequently observed in patients with schizophrenia and major depressivePalabras claves:Graphical LASSO, major depressive disorder, Neurocognition, Neurocognitive graph, SchizophreniaAutores:Deng W., Greenshaw A.J., Greiner R., Hu X., Kong X., Li M., Li T., Liang S., Ma X., Roberto Vega, Wang Q.Fuentes:scopusHemodynamic pattern recognition during deception process using functional near-infrared spectroscopy
ArticleAbstract: Deception is considered a psychological process by which one individual deliberately attempts to conPalabras claves:Deception detection, Functional near-infrared spectroscopy (fNIRS), Hemodynamic activity, pattern recognitionAutores:Fuentes-Aguilar R.Q., Garcia-Gonzalez A., Hernandez-Reynoso A.G., Linn E.K., Roberto Vega, Sanchez-Ante G., Santos-Garcia A.Fuentes:scopus