Records |
Author |
Fernando Vilariño; Dan Norton; Onur Ferhat |
Title |
Memory Fields: DJs in the Library |
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Conference Article |
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2015 |
Publication |
21 st Symposium of Electronic Arts |
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Vancouver; Canada; August 2015 |
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ISEA |
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;SIAI |
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no |
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Admin @ si @VNF2015 |
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2800 |
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Author |
Fernando Vilariño; Dan Norton; Onur Ferhat |
Title |
The Eye Doesn't Click – Eyetracking and Digital Content Interaction |
Type |
Conference Article |
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2016 |
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4S/EASST Conference |
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Barcelona; Spain; September 2016 |
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EASST |
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MV; 600.097;SIAI |
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no |
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Admin @ si @VNF2016 |
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2801 |
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Author |
Fernando Vilariño; Debora Gil; Petia Radeva |
Title |
A Novel FLDA Formulation for Numerical Stability Analysis |
Type |
Book Chapter |
Year |
2004 |
Publication |
Recent Advances in Artificial Intelligence Research and Development |
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Volume |
113 |
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Pages |
77-84 |
Keywords |
Supervised Learning; Linear Discriminant Analysis; Numerical Stability; Computer Vision |
Abstract |
Fisher Linear Discriminant Analysis (FLDA) is one of the most popular techniques used in classification applying dimensional reduction. The numerical scheme involves the inversion of the within-class scatter matrix, which makes FLDA potentially ill-conditioned when it becomes singular. In this paper we present a novel explicit formulation of FLDA in terms of the eccentricity ratio and eigenvector orientations of the within-class scatter matrix. An analysis of this function will characterize those situations where FLDA response is not reliable because of numerical instability. This can solve common situations of poor classification performance in computer vision. |
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IOS Press |
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J. Vitrià, P. Radeva and I. Aguiló |
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978-1-58603-466-5 |
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MV;IAM;MILAB;SIAI |
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no |
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IAM @ iam @ VGR2004 |
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1663 |
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Author |
Fernando Vilariño; Dimosthenis Karatzas |
Title |
The Library Living Lab |
Type |
Conference Article |
Year |
2015 |
Publication |
Open Living Lab Days |
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Istanbul; Turkey; August 2015 |
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OLLD |
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MV; DAG;SIAI |
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no |
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Admin @ si @ViK2015 |
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2797 |
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Author |
Fernando Vilariño; Dimosthenis Karatzas |
Title |
A Living Lab approach for Citizen Science in Libraries |
Type |
Conference Article |
Year |
2016 |
Publication |
1st International ECSA Conference |
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Berlin; Germany; May 2016 |
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ECSA |
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MV; DAG; 600.084; 600.097;SIAI |
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no |
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Admin @ si @ViK2016 |
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2804 |
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Author |
Fernando Vilariño; Dimosthenis Karatzas; Alberto Valcarce |
Title |
The Library Living Lab Barcelona: A participative approach to technology as an enabling factor for innovation in cultural spaces |
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Journal |
Year |
2018 |
Publication |
Technology Innovation Management Review |
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DAG; MV; 600.097; 600.121; 600.129;SIAI |
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no |
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Admin @ si @ VKV2018a |
Serial |
3153 |
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Author |
Fernando Vilariño; Dimosthenis Karatzas; Alberto Valcarce |
Title |
Libraries as New Innovation Hubs: The Library Living Lab |
Type |
Conference Article |
Year |
2018 |
Publication |
30th ISPIM Innovation Conference |
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Abstract |
Libraries are in deep transformation both in EU and around the world, and they are thriving within a great window of opportunity for innovation. In this paper, we show how the Library Living Lab in Barcelona participated of this changing scenario and contributed to create the Bibliolab program, where more than 200 public libraries give voice to their users in a global user-centric innovation initiative, using technology as enabling factor. The Library Living Lab is a real 4-helix implementation where Universities, Research Centers, Public Administration, Companies and the Neighbors are joint together to explore how technology transforms the cultural experience of people. This case is an example of scalability and provides reference tools for policy making, sustainability, user engage methodologies and governance. We provide specific examples of new prototypes and services that help to understand how to redefine the role of the Library as a real hub for social innovation. |
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Stockholm; May 2018 |
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ISPIM |
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DAG; MV; 600.097; 600.121; 600.129;SIAI |
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no |
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Admin @ si @ VKV2018b |
Serial |
3154 |
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Author |
Fernando Vilariño; Dimosthenis Karatzas; Marcos Catalan; Alberto Valcarcel |
Title |
An horizon for the Public Library as a place for innovation and creativity. The Library Living Lab in Volpelleres |
Type |
Book Chapter |
Year |
2015 |
Publication |
The White Book on Public Library Network from Diputació de Barcelona |
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MV; DAG;SIAI |
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no |
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Admin @ si @VKC2015 |
Serial |
2798 |
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Author |
Fernando Vilariño; Enric Marti |
Title |
New didactic techniques in the EHES applying mobile technologies |
Type |
Miscellaneous |
Year |
2008 |
Publication |
Agencia de Gestio d´Ajuts Universitaris I de Recerca (AGAUR), Generalitat de Catalunya |
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Agencia de Gestió d’Ajuts Universitaris I de Recerca (AGAUR), Generalitat de Catalunya |
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Agencia de Gestio d´Ajuts Universitaris I de Recerca (AGAUR), Generalitat de Catalunya |
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MILAB;IAM;MV;SIAI |
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no |
Call Number |
IAM @ iam @ VIM2008 |
Serial |
1664 |
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Author |
Fernando Vilariño; Gerard Lacey |
Title |
QUALITY ASSESSMENT IN COLONOSCOPY New challenges through computer vision-based systems |
Type |
Conference Article |
Year |
2009 |
Publication |
in Proc. 3rd International Conference on Biomedical Electronics and Devices |
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800 |
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MV;SIAI |
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no |
Call Number |
fernando @ fernando @ |
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2430 |
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Author |
Fernando Vilariño; Gerard Lacey; Jiang Zhou; Hugh Mulcahy; Stephen Patchett |
Title |
Automatic Labeling of Colonoscopy Video for Cancer Detection |
Type |
Conference Article |
Year |
2007 |
Publication |
In Proc. berian Conference, IbPRIA |
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290-297 |
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800 |
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MV;SIAI |
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no |
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fernando @ fernando @ |
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2431 |
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Author |
Fernando Vilariño; Ludmila I. Kuncheva; Petia Radeva |
Title |
ROC curves and video analysis optimization in intestinal capsule endoscopy |
Type |
Journal Article |
Year |
2006 |
Publication |
Pattern Recognition Letters |
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PRL |
Volume |
27 |
Issue |
8 |
Pages |
875–881 |
Keywords |
ROC curves; Classification; Classifiers ensemble; Detection of intestinal contractions; Imbalanced classes; Wireless capsule endoscopy |
Abstract |
Wireless capsule endoscopy involves inspection of hours of video material by a highly qualified professional. Time episodes corresponding to intestinal contractions, which are of interest to the physician constitute about 1% of the video. The problem is to label automatically time episodes containing contractions so that only a fraction of the video needs inspection. As the classes of contraction and non-contraction images in the video are largely imbalanced, ROC curves are used to optimize the trade-off between false positive and false negative rates. Classifier ensemble methods and simple classifiers were examined. Our results reinforce the claims from recent literature that classifier ensemble methods specifically designed for imbalanced problems have substantial advantages over simple classifiers and standard classifier ensembles. By using ROC curves with the bagging ensemble method the inspection time can be drastically reduced at the expense of a small fraction of missed contractions. |
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800 |
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MILAB;MV;SIAI |
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no |
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BCNPCL @ bcnpcl @ VKR2006; IAM @ iam @ VKR2006 |
Serial |
647 |
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Author |
Fernando Vilariño; Panagiota Spyridonos; Fosca De Iorio; Jordi Vitria; Fernando Azpiroz; Petia Radeva |
Title |
Intestinal Motility Assessment With Video Capsule Endoscopy: Automatic Annotation of Phasic Intestinal Contractions |
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Journal Article |
Year |
2010 |
Publication |
IEEE Transactions on Medical Imaging |
Abbreviated Journal |
TMI |
Volume |
29 |
Issue |
2 |
Pages |
246-259 |
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Abstract |
Intestinal motility assessment with video capsule endoscopy arises as a novel and challenging clinical fieldwork. This technique is based on the analysis of the patterns of intestinal contractions shown in a video provided by an ingestible capsule with a wireless micro-camera. The manual labeling of all the motility events requires large amount of time for offline screening in search of findings with low prevalence, which turns this procedure currently unpractical. In this paper, we propose a machine learning system to automatically detect the phasic intestinal contractions in video capsule endoscopy, driving a useful but not feasible clinical routine into a feasible clinical procedure. Our proposal is based on a sequential design which involves the analysis of textural, color, and blob features together with SVM classifiers. Our approach tackles the reduction of the imbalance rate of data and allows the inclusion of domain knowledge as new stages in the cascade. We present a detailed analysis, both in a quantitative and a qualitative way, by providing several measures of performance and the assessment study of interobserver variability. Our system performs at 70% of sensitivity for individual detection, whilst obtaining equivalent patterns to those of the experts for density of contractions. |
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IEEE |
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0278-0062 |
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800 |
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MILAB;MV;OR;SIAI |
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no |
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BCNPCL @ bcnpcl @ VSD2010; IAM @ iam @ VSI2010 |
Serial |
1281 |
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Author |
Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; C. Malagelada; Petia Radeva |
Title |
Linear Radial Patterns Characterization for Automatic Detection of Tonic Intestinal Contractions |
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Book Chapter |
Year |
2006 |
Publication |
11th Iberoamerican Congress on Pattern Recognition |
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4225 |
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178–187 |
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Abstract |
This work tackles the categorization of general linear radial patterns by means of the valleys and ridges detection and the use of descriptors of directional information, which are provided by steerable filters in different regions of the image. We successfully apply our proposal in the specific case of automatic detection of tonic contractions in video capsule endoscopy, which represent a paradigmatic example of linear radial patterns. |
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Cancun (Mexico) |
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Springer Verlag |
Place of Publication |
Berlin Heidelberg |
Editor |
.F. Mart ́ınez-Trinidad et al |
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LNCS |
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800 |
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MV;OR;MILAB;SIAI |
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no |
Call Number |
BCNPCL @ bcnpcl @ VSV2006c; IAM @ iam @ VSB2006f |
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728 |
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Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; C. Malagelada; Petia Radeva |
Title |
A Machine Learning framework using SOMs: Applications in the Intestinal Motility Assessment |
Type |
Book Chapter |
Year |
2006 |
Publication |
11th Iberoamerican Congress on Pattern Recognition |
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4225 |
Issue |
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188–197 |
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Abstract |
Small Bowel Motility Assessment by means of Wireless Capsule Video Endoscopy constitutes a novel clinical methodology in which a capsule with a micro-camera attached to it is swallowed by the patient, emitting a RF signal which is recorded as a video of its trip throughout the gut. In order to overcome the main drawbacks associated with this technique -mainly related to the large amount of visualization time required-, our efforts have been focused on the development of a machine learning system, built up in sequential stages, which provides the specialists with the useful part of the video, rejecting those parts not valid for analysis. We successfully used Self Organized Maps in a general semi-supervised framework with the aim of tackling the different learning stages of our system. The analysis of the diverse types of images and the automatic detection of intestinal contractions is performed under the perspective of intestinal motility assessment in a clinical environment. |
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Cancun (Mexico) |
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Springer Verlag |
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Berlin-Heidelberg |
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J.P. Martinez–Trinidad et al |
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800 |
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CIARP06 |
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MV;OR;MILAB;SIAI |
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no |
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BCNPCL @ bcnpcl @ VSV2006d; IAM @ iam @ VSV2006e |
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729 |
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