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Author | Maria Salamo; Inmaculada Rodriguez; Maite Lopez; Anna Puig; Simone Balocco; Mariona Taule | ||||
Title | Recurso docente para la atención de la diversidad en el aula mediante la predicción de notas | Type | Journal | ||
Year | 2016 | Publication | ReVision | Abbreviated Journal | |
Volume | 9 | Issue | 1 | Pages | |
Keywords | Aprendizaje automatico; Sistema de prediccion de notas; Herramienta docente | ||||
Abstract | Desde la implantación del Espacio Europeo de Educación Superior (EEES) en los diferentes grados, se ha puesto de manifiesto la necesidad de utilizar diversos mecanismos que permitan tratar la diversidad en el aula, evaluando automáticamente y proporcionando una retroalimentación rápida tanto al alumnado como al profesorado sobre la evolución de los alumnos en una asignatura. En este artículo se presenta la evaluación de la exactitud en las predicciones de GRADEFORESEER, un recurso docente para la predicción de notas basado en técnicas de aprendizaje automático que permite evaluar la evolución del alumnado y estimar su nota final al terminar el curso. Este recurso se ha complementado con una interfaz de usuario para el profesorado que puede ser usada en diferentes plataformas software (sistemas operativos) y en cualquier asignatura de un grado en la que se utilice evaluación continuada. Además de la descripción del recurso, este artículo presenta los resultados obtenidos al aplicar el sistema de predicción en cuatro asignaturas de disciplinas distintas: Programación I (PI), Diseño de Software (DSW) del grado de Ingeniería Informática, Tecnologías de la Información y la Comunicación (TIC) del grado de Lingüística y la asignatura Fundamentos de Tecnología (FDT) del grado de Información y Documentación, todas ellas impartidas en la Universidad de Barcelona.
La capacidad predictiva se ha evaluado de forma binaria (aprueba o no) y según un criterio de rango (suspenso, aprobado, notable o sobresaliente), obteniendo mejores predicciones en los resultados evaluados de forma binaria. |
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Notes | MILAB; | Approved | no | ||
Call Number | Admin @ si @ SRL2016 | Serial | 2820 | ||
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Author | Maria Vanrell; Ramon Baldrich; Anna Salvatella; Robert Benavente; Francesc Tous | ||||
Title | Induction operators for a computational colour-texture representation | Type | Journal | ||
Year | 2004 | Publication | Computer Vision and Image Understanding, 94(1–3):92–114, ISSN: 1077–3142 (IF: 0.651) | Abbreviated Journal | |
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Notes | CIC | Approved | no | ||
Call Number | CAT @ cat @ VBS2004 | Serial | 453 | ||
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Author | Mariella Dimiccoli | ||||
Title | Fundamentals of cone regression | Type | Journal | ||
Year | 2016 | Publication | Journal of Statistics Surveys | Abbreviated Journal | |
Volume | 10 | Issue | Pages | 53-99 | |
Keywords | cone regression; linear complementarity problems; proximal operators. | ||||
Abstract | Cone regression is a particular case of quadratic programming that minimizes a weighted sum of squared residuals under a set of linear inequality constraints. Several important statistical problems such as isotonic, concave regression or ANOVA under partial orderings, just to name a few, can be considered as particular instances of the cone regression problem. Given its relevance in Statistics, this paper aims to address the fundamentals of cone regression from a theoretical and practical point of view. Several formulations of the cone regression problem are considered and, focusing on the particular case of concave regression as an example, several algorithms are analyzed and compared both qualitatively and quantitatively through numerical simulations. Several improvements to enhance numerical stability and bound the computational cost are proposed. For each analyzed algorithm, the pseudo-code and its corresponding code in Matlab are provided. The results from this study demonstrate that the choice of the optimization approach strongly impacts the numerical performances. It is also shown that methods are not currently available to solve efficiently cone regression problems with large dimension (more than many thousands of points). We suggest further research to fill this gap by exploiting and adapting classical multi-scale strategy to compute an approximate solution. | ||||
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ISSN | 1935-7516 | ISBN | Medium | ||
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Notes | MILAB; | Approved | no | ||
Call Number | Admin @ si @Dim2016a | Serial | 2783 | ||
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Author | Matthias S. Keil | ||||
Title | Smooth Gradient Representations as a Unifying Account of Chevreul’s Illusion, Mach Bands, and a Variant of the Ehrenstein Disk | Type | Journal | ||
Year | 2006 | Publication | Neural Computation | Abbreviated Journal | NEURALCOMPUT |
Volume | 18 | Issue | 4 | Pages | 871–903 |
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Call Number | Admin @ si @ Kei2006 | Serial | 633 | ||
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Author | Matthias S. Keil; Agata Lapedriza; David Masip; Jordi Vitria | ||||
Title | Preferred Spatial Frequencies for Human Face Processing Are Associated with Optimal Class Discrimination in the Machine | Type | Journal | ||
Year | 2008 | Publication | PLoS ONE 3(7):e2590, DOI:10.1371/journal.pone.0002590 | Abbreviated Journal | |
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Notes | OR;MV | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ KLM2008 | Serial | 978 | ||
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Author | Matthias S. Keil; Gabriel Cristobal | ||||
Title | Separating the chaff from the wheat: possible origins of the oblique effect | Type | Journal | ||
Year | 2000 | Publication | Journal of the Optical Society of America A – Optics, Image Science, and Vision, 17(4): 697–710 (IF: 1.481) | Abbreviated Journal | |
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Call Number | Admin @ si @ KeC2000 | Serial | 630 | ||
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Author | Matthias S. Keil; Gabriel Cristobal; Heiko Neumann | ||||
Title | Gradient representation and perception in the early visual system – A novel account of Mach band formation | Type | Journal | ||
Year | 2006 | Publication | Vision Research, 46(17): 2659–2674 | Abbreviated Journal | VR |
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Call Number | Admin @ si @ KCN2006 | Serial | 649 | ||
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Author | Matthias S. Keil; Gabriel Cristobal; Thorsten Hansen; Heiko Neumann | ||||
Title | Recovering real-world images from single-scale boundaries with a novel filling-in architecture | Type | Journal | ||
Year | 2005 | Publication | Neural Networks 18(10):1319–1331 (IF: 1.665) | Abbreviated Journal | |
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Call Number | Admin @ si @ KCH2005 | Serial | 576 | ||
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Author | Matthias S. Keil; Jordi Vitria | ||||
Title | Does the brain generate representations of smooth brightness gradients? A novel account for Mach bands, Chevreul’s illusion, and a variant of the Ehrenstein disk | Type | Journal | ||
Year | 2005 | Publication | Perception 34:209–210 Suppl. S (IF: 1.391) | Abbreviated Journal | |
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Notes | OR;MV | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ KeV2005a | Serial | 608 | ||
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Author | Matthias S. Keil; Jordi Vitria | ||||
Title | Pushing it to the Limit: Adaptation with Dynamically Switching Gain Control | Type | Journal | ||
Year | 2007 | Publication | EURASIP Journal on Advances in Signal Processing, Vol 2007, Article ID 51684, 10 pages, doi: 10.1155/2007/51684 | Abbreviated Journal | |
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Call Number | BCNPCL @ bcnpcl @ KeV2007 | Serial | 794 | ||
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Author | Mikhail Mozerov; Ariel Amato; Xavier Roca; Jordi Gonzalez | ||||
Title | Trajectory Occlusion Handling with Multiple View Distance Minimisation Clustering | Type | Journal | ||
Year | 2008 | Publication | Optical Engineering, vol. 47(04)04702, DOI:10.11781.2909665 | Abbreviated Journal | |
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Notes | ISE | Approved | no | ||
Call Number | ISE @ ise @ MAR2008c | Serial | 970 | ||
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Author | Mikhail Mozerov; Ariel Amato; Xavier Roca; Jordi Gonzalez | ||||
Title | Solving the Multi Object Occlusion Problem in a Multiple Camera Tracking System | Type | Journal | ||
Year | 2009 | Publication | Pattern Recognition and Image Analysis | Abbreviated Journal | |
Volume | 19 | Issue | 1 | Pages | 165-171 |
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Abstract | An efficient method to overcome adverse effects of occlusion upon object tracking is presented. The method is based on matching paths of objects in time and solves a complex occlusion-caused problem of merging separate segments of the same path. | ||||
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ISSN | 1054-6618 | ISBN | Medium | ||
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Notes | ISE | Approved | no | ||
Call Number | ISE @ ise @ MAR2009a | Serial | 1160 | ||
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Author | Mikhail Mozerov; V. Kober | ||||
Title | Impulse Noise Removal with Gradient Adaptive Neighborhoods | Type | Journal | ||
Year | 2006 | Publication | Optical Engineering, 45: 67003 | Abbreviated Journal | |
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Notes | ISE | Approved | no | ||
Call Number | ISE @ ise @ MoK2006 | Serial | 676 | ||
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Author | Mikhail Mozerov; V. Kober; I.A. Ovseyevich | ||||
Title | Robust Dynamic Programming Algorithm for Motion Detection and Estimation | Type | Journal | ||
Year | 2007 | Publication | Abbreviated Journal | ||
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Call Number | ISE @ ise @ MKO2007 | Serial | 810 | ||
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Author | Mireia Sole; Joan Blanco; Debora Gil; G. Fonseka; Richard Frodsham; Francesca Vidal; Zaida Sarrate | ||||
Title | Noves perspectives en l estudi de la territorialitat cromosomica de cel·lules germinals masculines: estudis tridimensionals | Type | Journal | ||
Year | 2017 | Publication | Biologia de la Reproduccio | Abbreviated Journal | JBR |
Volume | 15 | Issue | Pages | 73-78 | |
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Abstract | In somatic cells, chromosomes occupy specific nuclear regions called chromosome territories which are involved in the
maintenance and regulation of the genome. Preliminary data in male germ cells also suggest the importance of chromosome territoriality in cell functionality. Nevertheless, the specific characteristics of testicular tissue (presence of different cell types with different morphological characteristics, in different stages of development and with different ploidy) makes difficult to achieve conclusive results. In this study we have developed a methodology to approach the threedimensional study of all chromosome territories in male germ cells from C57BL/6J mice (Mus musculus). The method includes the following steps: i) Optimized cell fixation to obtain an optimal preservation of the three-dimensionality cell morphology, ii) Chromosome identification by FISH (Chromoprobe Multiprobe® OctoChrome™ Murine System; Cytocell) and confocal microscopy (TCS-SP5, Leica Microsystems), iii) Cell type identification by immunofluorescence iv) Image analysis using Matlab scripts, v) Numerical data extraction related to chromosome features, chromosome radial position and chromosome relative position. This methodology allows the unequivocally identification and the analysis of the chromosome territories of all spermatogenic stages. Results will provide information about the features that determine chromosomal position, preferred associations between chromosomes, and the relationship between chromosome positioning and genome regulation. |
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ISSN | ISBN | 978-84-697-3767-5 | Medium | ||
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Notes | IAM; 600.096; 600.145 | Approved | no | ||
Call Number | Admin @ si @ SBG2017c | Serial | 2961 | ||
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