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Author ![sorted by Author field, descending order (down)](img/sort_desc.gif) |
Ernest Valveny; Philippe Dosch |
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A General Framework for the Evaluation of Symbol Recognition Methods |
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2007 |
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International Journal on Document Analysis and Recognition, vol. 9(1), pp 59–74 |
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DAG |
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DAG @ dag @ VaD2007 |
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893 |
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Enric Marti; J.Roncaries; Debora Gil; Aura Hernandez-Sabate; Antoni Gurgui; Ferran Poveda |
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PBL On Line: A proposal for the organization, part-time monitoring and assessment of PBL group activities |
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2015 |
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Journal of Technology and Science Education |
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JOTSE |
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5 |
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2 |
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87-96 |
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IAM; ADAS; 600.076; 600.075 |
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Admin @ si @ MRG2015 |
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2608 |
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E. Provenzi; Carlo Gatta; M. Fierro; A. Rizzi |
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A Spatially Variant White-Patch and Gray-World Method for Color Image Enhancement Driven by Local Constant |
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2008 |
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IEEE Transactions on Pattern Analysis and Machine Intelligence |
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TPAMI |
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30 |
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10 |
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1757–1770 |
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MILAB |
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BCNPCL @ bcnpcl @ PGF2008 |
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1001 |
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E. Pastor; A. Agueda; Juan Andrade; M. Muñoz; Y. Perez; E. Planas |
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Computing the rate of spread of linear flame fronts by thermal image processing |
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2006 |
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Fire Safety Journal, 41(8):569–579 |
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Admin @ si @ PAA2006 |
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679 |
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Diego Velazquez; Pau Rodriguez; Alexandre Lacoste; Issam H. Laradji; Xavier Roca; Jordi Gonzalez |
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Title |
Evaluating Counterfactual Explainers |
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2023 |
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Transactions on Machine Learning Research |
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TMLR |
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Explainability; Counterfactuals; XAI |
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Explainability methods have been widely used to provide insight into the decisions made by statistical models, thus facilitating their adoption in various domains within the industry. Counterfactual explanation methods aim to improve our understanding of a model by perturbing samples in a way that would alter its response in an unexpected manner. This information is helpful for users and for machine learning practitioners to understand and improve their models. Given the value provided by counterfactual explanations, there is a growing interest in the research community to investigate and propose new methods. However, we identify two issues that could hinder the progress in this field. (1) Existing metrics do not accurately reflect the value of an explainability method for the users. (2) Comparisons between methods are usually performed with datasets like CelebA, where images are annotated with attributes that do not fully describe them and with subjective attributes such as ``Attractive''. In this work, we address these problems by proposing an evaluation method with a principled metric to evaluate and compare different counterfactual explanation methods. The evaluation method is based on a synthetic dataset where images are fully described by their annotated attributes. As a result, we are able to perform a fair comparison of multiple explainability methods in the recent literature, obtaining insights about their performance. We make the code public for the benefit of the research community. |
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ISE |
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Admin @ si @ VRL2023 |
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3891 |
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David Masip; M. Bressan; Jordi Vitria |
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Title |
Feature extraction methods for real-time face detection and classification |
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2005 |
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Eurasip Journal on Applied Signal Processing, 13: 2061–2071 |
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OR;MV |
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BCNPCL @ bcnpcl @ MBV2005 |
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612 |
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David Masip; Ludmila I. Kuncheva; Jordi Vitria |
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An ensemble-based method for linear feature extraction for two-class problems |
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2005 |
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Pattern Analysis and Applications, 8(3): 227–237 (IF: 0.782) |
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OR;MV |
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BCNPCL @ bcnpcl @ MKV2005 |
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613 |
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Author ![sorted by Author field, descending order (down)](img/sort_desc.gif) |
David Masip; Jordi Vitria |
![goto web page url](img/www.gif)
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Title |
Feature Extraction for Nearest Neighbor Classification. Application to Gender Recognition |
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2005 |
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International Journal of Intelligent Systems, 20(5): 561–576 (IF: 0.657) |
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OR;MV |
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BCNPCL @ bcnpcl @ MaV2005 |
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562 |
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Author ![sorted by Author field, descending order (down)](img/sort_desc.gif) |
David Masip; Jordi Vitria |
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Title |
Boosted discriminant projections for nearest neighbor classification |
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2006 |
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Pattern Recognition, 39(2): 164–170 |
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OR;MV |
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BCNPCL @ bcnpcl @ MaV2006 |
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634 |
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Author ![sorted by Author field, descending order (down)](img/sort_desc.gif) |
David Masip; Jordi Vitria |
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Title |
Shared Feature Extraction for Nearest Neighbor Face Recognition |
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2008 |
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IEEE Transactions on Neural Networks |
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19 |
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4 |
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586–595 |
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BCNPCL @ bcnpcl @ MaV2008 |
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944 |
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Cristina Cañero; Petia Radeva; M. Gomez; J. Mauri; E. Fernandez-Nofrerias; Oriol Rodriguez-Leor; C. Julia |
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Title |
Modelo experimental para la reconstruccion tridimensional de las arterias coronarias a partir de imagenes de coronariografia |
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2002 |
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Madrid |
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BCNPCL @ bcnpcl @ GMF2002e |
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434 |
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Cristina Cañero; Nikolaos Thomos; George A. Triantafyllid; George C. Litos; Michael G. Strintzis |
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Title |
Mobile Tele-echography: User Interface Design |
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2005 |
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IEEE Transactions on Information Technology in Biomedicine, 9(1):44–49 (IF: 1.376) |
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Admin @ si @ CTT2005 |
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Cristina Cañero; Fernando Vilariño; Petia Radeva |
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Predictive (un) distortion model and 3D Reconstruction by Biplane Snakes |
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2002 |
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IEEE Transactions on Medical Imaging (IF: 2.911) |
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MILAB;SIAI |
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BCNPCL @ bcnpcl @ CVR2002 |
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269 |
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Carolina Malagelada; Fosca De Iorio; Fernando Azpiroz; Anna Accarino; Santiago Segui; Petia Radeva; Juan R. Malagelada |
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New Insight Into Intestinal Motor Function via Noninvasive Endoluminal Image Analysis |
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2008 |
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Gastroenterology |
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135 |
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4 |
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1155–1162 |
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MILAB |
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BCNPCL @ bcnpcl @ MDA2008 |
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Carme Julia; Angel Sappa; Felipe Lumbreras |
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Aprendiendo a recrear la realidad en 3D |
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2008 |
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UAB Divulga, Revista de divulgacion cientifica |
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spreading;ADAS |
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no |
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ADAS @ adas @ JSL2008b |
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1472 |
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