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Enric Marti; Xavier Binefa; G.EstapeRV |
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Caronte, plataforma para la gestión de la actividad docente de una asignatura. Análisis de su impacto en ingenierías, para su adaptación al EEES |
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Miscellaneous |
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2008 |
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, Ministerio de Ciencia e Innovacion, DGU |
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Direccion General de Universidades |
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IAM;OR;RV |
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IAM @ iam @ MBE2008 |
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1589 |
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Author |
Enric Marti; J. Rocarias; Petia Radeva; H. Tizon; Jordi Vitria |
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Title |
Caronte. Un gestor documental para asignaturas de universidad en el EEES |
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Miscellaneous |
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2007 |
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Desarrollo de gestion de grupos, encuestas y autoevaluacion, MoodleMoot 2007 |
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IAM;OR;MILAB;MV |
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BCNPCL @ bcnpcl @ MRR2007b |
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1128 |
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Author |
Enric Marti; Jaume Rocarias; Petia Radeva; Ricardo Toledo; Jordi Vitria |
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Title |
Caronte: diseño, implementación y mejora de actividades de evaluación y primeras experiencias en asignaturas |
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2008 |
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Lleida |
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IAM;RV;OR;MILAB;ADAS;MV |
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IAM @ iam @ MRR2008 |
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1612 |
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Enric Marti; Jaume Rocarias; Ricardo Toledo |
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Caronte: gestión flexible de grupos de alumnos en asignaturas de universidad y actividades sobre estos grupos |
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Miscellaneous |
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2008 |
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Nueva actividad de control, MoodleMoot 2008 |
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Barcelona |
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IAM;RV;ADAS |
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IAM @ iam @ MRT2008b |
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1618 |
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Enric Marti; Jaume Rocarias; Petia Radeva; Ricardo Toledo; Jordi Vitria |
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Title |
Caronte: implementació i millora d activitats d avaluació i primeres experiències amb diferents organitzacions docents |
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Miscellaneous |
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2007 |
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IV Jornades d’Innovació Docent UAB |
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Bellaterra (Spain) |
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IAM;RV;OR;MILAB;ADAS;MV |
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IAM @ iam @ MRR2007 |
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1614 |
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Enric Marti; Jaume Rocarias; Ricardo Toledo; Aura Hernandez-Sabate |
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Title |
Caronte: plataforma Moodle con gestion flexible de grupos. Primeras experiencias en asignaturas de Ingenieria Informatica |
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Miscellaneous |
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2009 |
Publication |
15th Jornadas de Enseñanza Universitaria de la Informatica |
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461–468 |
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En este artículo se presenta Caronte, entorno LMS (Learning Management System) basado en Moodle. Una característica importante del entorno es la gestión flexible de grupos en una asignatura. Entendemos por grupo un conjunto de alumnos que realizan un trabajo y uno de ellos entrega la actividad propuesta (práctica, encuesta, etc.) en representación del grupo. Hemos trabajado en la confección de estos grupos, implementando un sistema de inscripción por contraseña.
Caronte ofrece un conjunto de actividades basadas en este concepto de grupo: encuestas, tareas (entrega de trabajos o prácticas), encuestas de autoevaluación y cuestionarios, entre otras.
Basada en nuestra actividad de encuesta, hemos definido una actividad de Control, que permite un cierto feedback electrónico del profesor sobre la actividad de los alumnos.
Finalmente, se presenta un resumen de las experiencias de uso de Caronte sobre asignaturas de Ingeniería Informática en el curso 2007-08. |
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Barcelona, Spain |
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978-84-692-2758-9 |
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JENUI |
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IAM;RV;ADAS |
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IAM @ iam @ MRT2009 |
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1202 |
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Author |
Enric Marti; J. Rocarias; A. Sanchez; Petia Radeva; Ricardo Toledo; Jordi Vitria |
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Title |
Caronte: un gestor documental para asignaturas del EEES |
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Miscellaneous |
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2006 |
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III Jornades de Innovacio Docent |
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UAB, Bellaterra |
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IAM;RV;OR;MILAB;ADAS;MV |
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BCNPCL @ bcnpcl @ MRS2006b |
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1124 |
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Enric Marti; J. Rocarias; A. Sanchez; Petia Radeva; Ricardo Toledo; Jordi Vitria |
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Caronte: una propuesta de entorno de gestion documental para asignaturas de Ingenieria Informatica |
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2006 |
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IV Congreso Internacional Docencia Universitaria e Innovacion (CIDUI´06) |
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Barcelona |
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IAM;RV;OR;MILAB;ADAS;MV |
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BCNPCL @ bcnpcl @ MRS2006a |
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1122 |
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Elena Valderrama; Joan Oliver; Josep Maria-Basart; Enric Marti; Petia Radeva; Ricardo Toledo; R.Vilanova;F.Ced; J.Muñoz; S.Vacchina |
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Convergencia al EEES de la ingeniería informática. Título de Grado en tecnología (Informática) |
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2005 |
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I Jornades de Innovació Docent |
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Elena Valderrama |
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IAM;RV;MILAB;ADAS |
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IAM @ iam @ VOB2005 |
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1652 |
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Pau Cano; Alvaro Caravaca; Debora Gil; Eva Musulen |
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Title |
Diagnosis of Helicobacter pylori using AutoEncoders for the Detection of Anomalous Staining Patterns in Immunohistochemistry Images |
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2023 |
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Arxiv |
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107241 |
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This work addresses the detection of Helicobacter pylori a bacterium classified since 1994 as class 1 carcinogen to humans. By its highest specificity and sensitivity, the preferred diagnosis technique is the analysis of histological images with immunohistochemical staining, a process in which certain stained antibodies bind to antigens of the biological element of interest. This analysis is a time demanding task, which is currently done by an expert pathologist that visually inspects the digitized samples.
We propose to use autoencoders to learn latent patterns of healthy tissue and detect H. pylori as an anomaly in image staining. Unlike existing classification approaches, an autoencoder is able to learn patterns in an unsupervised manner (without the need of image annotations) with high performance. In particular, our model has an overall 91% of accuracy with 86\% sensitivity, 96% specificity and 0.97 AUC in the detection of H. pylori. |
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Admin @ si @ CCG2023 |
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3855 |
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