1.
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14 p, 4.8 MB |
A Morphometric Analysis of the Santolina chamaecyparissus Complex (Asteraceae)
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Giacò, Antonio (University of Pisa) ;
De Giorgi, Paola (University of Pisa) ;
Astuti, Giovanni (University of Pisa) ;
Caputo, Paolo (University of Naples Federico II) ;
Serrano, Miguel (University of Santiago de Compostela) ;
Carballal, Rodrigo (University of Santiago de Compostela) ;
Sáez, Llorenç (Universitat Autònoma de Barcelona. Departament de Biologia Animal, de Biologia Vegetal i d'Ecologia) ;
Bacchetta, Gianluigi (University of Cagliari) ;
Peruzzi, Lorenzo (University of Pisa)
The genus Santolina (Asteraceae, Anthemideae) includes 26 species of aromatic evergreen shrubs endemic to the western Mediterranean Basin. Santolina is widely used as ornamental plant, in xerigardening, and in ethnobotany. [...]
2022 - 10.3390/plants11243458
Plants, Vol. 11, Num. 24 (December 2022) , art. 3458
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2.
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10 p, 1.6 MB |
Mortality prediction enhancement in end-stage renal disease : A machine learning approach
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Macias Toro, Edwar Hernando (Universitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes) ;
Morell Pérez, Antoni (Universitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes) ;
Serrano García, Javier 1964- (Universitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes) ;
López Vicario, José (Universitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes) ;
Ibeas, Jose (Parc Taulí Hospital Universitari. Institut d'Investigació i Innovació Parc Taulí (I3PT))
In this work, we propose to combine massive variables collected during the evolution of patients in end-stage renal disease (ESRD), along with machine learning techniques to improve mortality prediction in ESRD. [...]
2020 - 10.1016/j.imu.2020.100351
Informatics in Medicine Unlocked, Vol. 19 (May 2020) , art. 100351
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3.
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14 p, 1.4 MB |
Hunter-gatherer mobility and technological landscapes in southernmost South America : a statistical learning approach
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Briz i Godino, Ivan (University of York. Department of Archaeology) ;
Ahedo, Virginia (Universidad de Burgos. Departamento de Ingeniería Civil) ;
Álvarez, Myrian (CONICET-Centro Austral de Investigaciones Científicas) ;
Pal, Nélida (CONICET-Centro Austral de Investigaciones Científicas) ;
Turnes, Lucas (CONICET-Centro Austral de Investigaciones Científicas) ;
Santos, José Ignacio (Universidad de Burgos. Departamento de Ingeniería Civil) ;
Zurro Hernández, Débora (Universitat Pompeu Fabra. Departament d'Humanitats) ;
Caro Saiz, Jorge (Universitat Autònoma de Barcelona. Departament de Sociologia) ;
Galán, José Manuel (Universidad de Burgos. Departamento de Ingeniería Civil)
The present work aims to quantitatively explore and understand the relationship between mobility types (nautical versus pedestrian), specific technological traits and shared technological knowledge in pedestrian hunter-gatherer and nautical hunter-fisher-gatherer societies from the southernmost portion of South America. [...]
2018 - 10.1098/rsos.180906
Royal Society Open Science, Vol. 5 (october 2018)
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4.
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5.
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13 p, 408.6 KB |
Covid19 Identification from Chest X-ray Images using Machine Learning Classifiers with GLCM Features
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Thepade, Sudeep D. (Pimpri Chinchwad College of Engineering (Pune, Índia). Computer Engineering Department) ;
Bang, Shalakha V. (Pimpri Chinchwad College of Engineering (Pune, Índia). Computer Engineering Department) ;
Chaudhari, Piyush R. (Pimpri Chinchwad College of Engineering (Pune, Índia). Computer Engineering Department) ;
Dindorkar, Mayuresh R. (Pimpri Chinchwad College of Engineering (Pune, Índia). Computer Engineering Department)
From staying quarantined at home, practicing work from home to moving outside wearing masks and carrying sanitizers, every individual has now become so adaptive to so called 'New Normal' post series of lockdowns across the countries. [...]
2020 - 10.5565/rev/elcvia.1277
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 19 Núm. 3 (2020) , p. 85-97 (Regular Issue)
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6.
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7.
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15 p, 2.5 MB |
Organ Segmentation in Poultry Viscera Using RGB-D
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Philipsen, Mark Philip (Media Technology, Aalborg University) ;
Dueholm, Jacob Velling (Media Technology, Aalborg University) ;
Jørgensen, Anders (IHFood, Copenhagen) ;
Escalera, Sergio (Centre de Visió per Computador (Bellaterra, Catalunya)) ;
Moeslund, Thomas Baltzer (Media Technology, Aalborg University) ;
Universitat Autònoma de Barcelona
We present a pattern recognition framework for semantic segmentation of visual structures, that is, multi-class labelling at pixel level, and apply it to the task of segmenting organs in the eviscerated viscera from slaughtered poultry in RGB-D images. [...]
2018 - 10.3390/s18010117
Sensors (Basel, Switzerland), Vol. 18 (january 2018)
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8.
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8 p, 2.3 MB |
Automated quantification of cerebral edema following hemispheric infarction : Application of a machine-learning algorithm to evaluate CSF shifts on serial head CTs
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Chen, Yasheng (Department of Neurology, Washington University, St. Louis, MO 63110, USA) ;
Dhar, Rajat (Department of Neurology, Washington University, St. Louis, MO 63110, USA) ;
Heitsch, Laura (Emergency Medicine, Washington University, St. Louis, MO 63110, USA) ;
Ford, Andria (Department of Neurology, Washington University, St. Louis, MO 63110, USA) ;
Fernandez-Cadenas, Israel (Hospital Universitari Vall d'Hebron. Institut de Recerca) ;
Carrera, Caty (Hospital Universitari Vall d'Hebron. Institut de Recerca) ;
Montaner, Joan (Hospital Universitari Vall d'Hebron. Institut de Recerca) ;
Lin, Weili (Dept. of Radiology, University of North Carolina, Chapel Hill, NC 27599, USA) ;
Shen, Dinggang (Department of Brain and Cognitive Engineering, Korea University, Seoul 02841, Republic of Korea) ;
An, Hongyu (Radiology, Washington University, St. Louis, MO 63110, USA) ;
Lee, Jin-Moo (Biomedical Engineering, Washington University, St. Louis, MO 63110, USA) ;
Universitat Autònoma de Barcelona
Although cerebral edema is a major cause of death and deterioration following hemispheric stroke, there remains no validated biomarker that captures the full spectrum of this critical complication. We recently demonstrated that reduction in intracranial cerebrospinal fluid (CSF) volume (∆ CSF) on serial computed tomography (CT) scans provides an accurate measure of cerebral edema severity, which may aid in early triaging of stroke patients for craniectomy. [...]
2016 - 10.1016/j.nicl.2016.09.018
NeuroImage, Vol. 12 (september 2016) , p. 673-680
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