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Author
Jaume Amores; Petia Radeva
Title
Retrieval of IVUS Images Using Contextual Information and Elastic Matching
Type
Journal
Year
2005
Publication
International Journal on Intelligent Systems, 20(5):541–560 (IF: 0.657)
Abbreviated Journal
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Issue
Pages
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Address
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ISBN
Medium
Area
Expedition
Conference
Notes
ADAS;MILAB
Approved
no
Call Number
ADAS @ adas @ AmR2005a
Serial
593
Permanent link to this record
Author
Jaume Amores; N. Sebe; Petia Radeva
Title
Boosting the distance estimation: Application to the K-Nearest Neighbor Classifier
Type
Journal Article
Year
2006
Publication
Pattern Recognition Letters
Abbreviated Journal
PRL
Volume
27
Issue
3
Pages
201–209
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Abstract
Address
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Notes
ADAS;MILAB
Approved
no
Call Number
ADAS @ adas @ ASR2006
Serial
643
Permanent link to this record
Author
Oriol Pujol; Petia Radeva; Jordi Vitria
Title
Discriminant ECOC: A Heuristic Method for Application Dependent Design of Error Correcting Output Codes
Type
Journal
Year
2006
Publication
IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(6): 1007–1012
Abbreviated Journal
Volume
Issue
Pages
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Abstract
Address
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Thesis
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Place of Publication
Editor
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Summary Language
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Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
Notes
OR;MILAB;HuPBA;MV
Approved
no
Call Number
BCNPCL @ bcnpcl @ PRV2006a
Serial
646
Permanent link to this record
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
Abbreviated Journal
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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Area
800
Expedition
Conference
Notes
MILAB;MV;SIAI
Approved
no
Call Number
BCNPCL @ bcnpcl @ VKR2006; IAM @ iam @ VKR2006
Serial
647
Permanent link to this record
Author
Xavier Otazu; Oriol Pujol
Title
Wavelet based approach to cluster analysis. Application on low dimensional data sets
Type
Journal Article
Year
2006
Publication
Pattern Recognition Letters
Abbreviated Journal
PRL
Volume
27
Issue
14
Pages
1590–1605
Keywords
Abstract
Address
Corporate Author
Thesis
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Editor
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Summary Language
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Series Editor
Series Title
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Series Issue
Edition
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ISBN
Medium
Area
Expedition
Conference
Notes
MILAB; CIC; HuPBA
Approved
no
Call Number
BCNPCL @ bcnpcl @ OtP2006
Serial
658
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