Browsing by Subject "Machine learning"

Now showing items 1-20 of 40

    • An unsupervised Hidden Markov Model-based system for the detection and classification of blue whale ... 
      Buchan, Susannah J.; Mahú Sinclair, Rodrigo; Wuth, Jorge; Balcazar Cabrera, Naysa; Gutiérrez, Laura; Neira, Sergio; Becerra Yoma, Néstor (Taylor & Francis, 2020)
      In this paper, we present an automatic method, without human supervision, for the detection and classification of blue whale vocalizations from passive acoustic monitoring (PAM) data using Hidden Markov Model technology ...
    • Aprendiendo a picar rocas con Deep Reinforcement Learning 
      Samtani Wadhwani, Pavan Ashok (Universidad de Chile, 2022)
    • Artificial intelligence for the early detection of colorectal cancer: A comprehensive review of its advantages ... 
      Viscaino, Michelle; Torres Bustos, Javier; Muñoz, Pablo; Auat Cheein, Cecilia; Auat Cheein, Fernando (Baishideng, 2021)
      Colorectal cancer (CRC) was the second-ranked worldwide type of cancer during 2020 due to the crude mortality rate of 12.0 per 100000 inhabitants. It can be prevented if glandular tissue (adenomatous polyps) is detected ...
    • Artificial Intelligence for the Future of Medicine 
      Ruiz, Rocío B.; Velásquez Silva, Juan Domingo (Springer, 2023)
      Since its origins, medicine has been more linked to the cure of diseases than to their prevention. This is due to multiple factors, training of health professionals aimed at curing diseases, lack of quality data, processing ...
    • Association between DSM-5 and ICD-11 personality dimensional traits in a general medical cohort and readmission ... 
      Barroilhet Diez, Sergio; Bieling, Alexandra E.; McCoy, Thomas H.; Perlis, Roy H. (Elsevier, 2020)
      Background: Personality has long been studied as a factor associated with health outcomes. Investigations of large, generalizable clinical cohorts are limited by variations in personality diagnostic methodologies and ...
    • Bioavailable strontium, human paleogeography, and migrations in the Southern Andes: A machine learning and ... 
      Barberena, Ramiro; Cardillo, Marcelo; Lucero, Gustavo; Le Roux, Petrus J.; Tessone, Augusto; Llano, Carina; Gasco, Alejandra; Marsh, Erik J.; Nuevo Delaunay, Amalia; Novellino, Paula; Frigolé, Cecilia; Winocur, Diego; Benítez, Anahí; Cornejo, Luis; Falabella Gellona, Fernanda; Sanhueza Riquelme, Maria Lorena; Santana Sagredo, Francisca; Troncoso Melendez, Andres Rolando; Cortegoso, Valeria; Durán, Víctor A.; Méndez, César (Frontiers Media, 2021)
      The Andes are a unique geological and biogeographic feature of South America. From the perspective of human geography, this mountain range provides ready access to highly diverse altitudinally arranged ecosystems. The ...
    • Blockchain-based federated learning for intelligent control in Heavy Haul Railway 
      Gaofeng, Hua; Zhu, Li; Wu, Jinsong; Shen, Chunzi; Zhou, Lingyan; Lin, Qingqing (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Due to the long train marshaling and complex line conditions, the operating modes in heavy haul rail systems frequently change when trains travel. Improper traction or braking operation made by drivers will increase the ...
    • Caracterización de música según emociones y complejidad, utilizando RNN-LSTM y teoría de la información, ... 
      Peña Peña, Leonardo Ismael (Universidad de Chile, 2019)
      La empatía en la humanidad es un elemento fundamental para construir una sociedad justa. A su vez la empatía puede ser modulada por diferentes factores, como la emoción que tiene un individuo. Por ende la música, como ...
    • Characterizing DSM-5 and ICD-11 personality disorder features in psychiatric inpatients at scale using ... 
      Barroilhet, Sergio A.; Pellegrini, Amelia M.; McCoy, Thomas H.; Perlis, Roy H. (Cambridge Univ Press, 2020)
      Background Investigation of personality traits and pathology in large, generalizable clinical cohorts has been hindered by inconsistent assessment and failure to consider a range of personality disorders (PDs) simultaneously. ...
    • Clasificadores de memes con Deep Learning 
      Jaramillo Andrade, Cristóbal Ignacio (Universidad de Chile, 2022)
      Los memes son un tipo de imagen muy particular, la cual se ha ganado gran popularidad con el pasar de los últimos años. Esto gracias principalmente a las redes sociales y otras fuentes de Internet, así como también a la ...
    • COMPUTATIONAL STUDY on the RUPTURE RISK in REAL CEREBRAL ANEURYSMS with GEOMETRICAL and FLUID-MECHANICAL ... 
      Aranda, Alfredo; Valencia, Alvaro (World Scientific Publishing Co. Pte Ltd, 2019)
      Fluid-mechanical and morphological parameters are recognized as major factors in the rupture risk of human aneurysms. On the other hand, it is well known that a lot of machine learning tools are available to study a variety ...
    • CORAZON: a web server for data normalization and unsupervised clustering based on expression profiles 
      Ramos, Thaís; Maracajá Coutinho, Vinicius; Ortega, J. Miguel; Do Rego, Thais G. (BMC, 2020)
      Objective Data normalization and clustering are mandatory steps in gene expression and downstream analyses, respectively. However, user-friendly implementations of these methodologies are available exclusively under expensive ...
    • Desarrollo de un modelo de recomendación de canales de marketing directo digital 
      Pérez Sepúlveda, Romina Sandra (Universidad de Chile, 2022)
    • DMAKit: A user-friendly web platform for bringing state-of-the-art data analysis techniques to non-specific users 
      Medina Ortiz, David; Silva Contreras, Sebastián Jesús; Quiroz, Cristofer; Asenjo de Leuze, Juan; Olivera Nappa, Álvaro (Elsevier, 2020)
      Tremendous advances in different areas of knowledge are producing vast volumes of data, a quantity so large that it has made necessary the development of new computational algorithms. Among the algorithms developed, we ...
    • Dry eye is matched by increased intrasubject variability in tear osmolarity as confirmed by machine learning ... 
      Cartes, C.; López, D.; Salinas, D.; Segovia, C.; Ahumada, C.; Pérez, N.; Valenzuela F., Manuel A.; Lanza, N.; López Solís, R. O.; Perez, V. L.; Zegers, P.; Fuentes, A.; Alarcón, C.; Traipe, L. (Elsevier Ltd, 2019)
      Objective: Because of high variability, tear film osmolarity measures have been questioned in dry eye assessment. Understanding the origin of such variability would aid data interpretation. This study aims to evaluate ...
    • Ethnicity influences phenotype and clinical outcomes: comparing a South American with a North American ... 
      Pérez Jeldres, Tamara; Pizarro, Benjamín; Ascui, Gabriel; Orellana, Matías; Cerda Villablanca, Mauricio David; Alvares, Danilo; Vega, Andrés de la; Cannistra, Macarena; Cornejo, Bárbara; Baéz, Pablo; Silva, Verónica; Arriagada, Elizabeth; Rivera Nieves, Jesús; Estela Petit, Ricardo Rafael; Hernández Rocha, Cristián; Álvarez Lobos, Manuel; Tobar Henríquez, Felipe Arturo (Lippincott Williams & Wilkins, 2022)
      Inflammatory bowel disease (IBD), including ulcerative colitis (UC) and Crohn disease (CD), has emerged as a global disease with an increasing incidence in developing and newly industrialized regions such as South America. ...
    • Feasibility study of optical spectroscopy as a medical tool for diagnosis of skin lesions 
      Safi, Asad; Ziauddin, Sheikh; Horsch, Alexander; Ziai, Mahzad; Castañeda, Víctor; Lasser, Tobias; Navab, Nassir (Sciencie & Information SAI Organization, 2016-10)
      Skin cancer is one of the most frequently encountered types of cancer in the Western world. According to the Skin Cancer Foundation Statistics, one in every five Americans develops skin cancer during his/her lifetime. ...
    • Going deep into schizophrenia with artificial intelligence 
      Cortés Briones, Jose A.; Tapia Rivas, Nicolás Igor; D'Souza, Deepak Cyril; Estévez Valencia, Pablo Antonio (Elsevier, 2022)
      Despite years of research, the mechanisms governing the onset, relapse, symptomatology, and treatment of schizophrenia (SZ) remain elusive. The lack of appropriate analytic tools to deal with the heterogeneity and complexity ...
    • Identification of statin’s action in a small cohort of patients with major depression 
      Thakkar, Ishani; Massardo Vega, Lucia Teresa del Pilar; Pereira, Jaime; Quintana, Juan Carlos; Risco Neira, Luis Eduardo; Sáez, Claudia G; Corral, Sebastián; Villa, Carolina; Spuler Villarroel, Jane Grace; Olivares, Nixa; Valenzuela, Guillermo; Castro, Gabriel; Riedel de Juan, Byron Esteban; Vicentini, Daniel; Muñoz, Diego; Lastra, Raúl; Rodríguez Fernández, María (MDPI, 2021)
      Statins are widely used as an effective therapy for ischemic vascular disorders and employed for primary and secondary prevention in cardiac and cerebrovascular diseases. Their hemostatic mechanism has also been shown ...
    • Imaging biomarkers in neurodegeneration: current and future practices 
      Young, Peter N. E.; Estarellas, Mar; Coomans, Emma; Srikrishna, Meera; Beaumont, Helen; Maass, Anne; Venkataraman, Ashwin V.; Lissaman, Rikki; Jiménez Fernández, Daniel; Betts, Matthew J.; McGlinchey, Eimear; Berron, David; O’Connor, Antoinette; Fox, Nick c.; Pereira, Joana B.; Jagust, William; Carter, Stephen F.; Paterson, Ross W.; Schöll, Michael (BMC, 2020)
      There is an increasing role for biological markers (biomarkers) in the understanding and diagnosis of neurodegenerative disorders. The application of imaging biomarkers specifically for the in vivo investigation of ...