2013

  1. Michal Drozdzal, Santi Seguí, Jordi Vitrià, Carolina Malagelada, Fernando Azpiroz, Petia Radeva. Adaptable image cuts for motility inspection using WCE. Comp. Med. Imag. and Graph. 37(1): 72-80 (2013).
  2. F Vilarino, P Spyridonos, P Radeva, J Vitria, F Azpiroz, J Malagelada. DEVICE, SYSTEM AND METHOD FOR MEASUREMENT AND ANALYSIS OF CONTRACTILE ACTIVITY. US Patent 20,130,123,586.
  3. Segui, S.; Drozdzal, M.; Vilarino, F.; Malagelada, C.; Azpiroz, F.; Radeva, P.; Vitria, J., Categorization and Segmentation of Intestinal Content Frames for Wireless Capsule Endoscopy, Information Technology in Biomedicine, IEEE Transactions on , vol.16, no.6, pp.1341,1352, Nov. 2012. doi: 10.1109/TITB.2012.2221472
  4. V.Borjas, J.Vitria, P.Radeva. Gradient Histogram Background Modeling for People Detection in Stationary Camera Environments. The 13th IAPR Conference on Machine Vision Applications, Japan, 2013. Best Poster Award. 
  5.  S.Seguí, M.Drozdzal, E.Zaytseva, C.Malagelada,F.Azpiroz, P.Radeva, J.Vitria. A new image centrality descriptor for wrinkle frame detection in WCE videos. The 13th IAPR Conference on Machine Vision Applications, Japan, 2013.
  6. Sappa, Angel D., Vitrià, Jordi. Multimodal Interaction in Image and Video Applications. Springer, Series: Intelligent Systems Reference Library, Vol. 48. 2013, XIV, 203 p.
  7. M.Drozdzal, S.Seguí, P.Radeva, C.Malagelada, F.Azpiroz, J.Vitrià. An Application for Efficient Error-Free Labeling of Medical Images. In Sappa, Angel D., Vitrià, Jordi. Multimodal Interaction in Image and Video Applications. Springer, Series: Intelligent Systems Reference Library, Vol. 48. 2013, XIV, pp. 1-16.
  8. Cesar Isaza, Joaquin Salas, Bogdan Raducanu. Rendering ground truth data sets to detect shadows cast by static objects in outdoors. Multimedia Tools and Applications, Online March 2013, DOI 10.1007/s11042-013-1409-9.
  9. Fadi Dornaika, Abdelmalik Moujahida, Bogdan Raducanu. Facial expression recognition using tracked facial actions: Classifier performance analysis, Engineering Applications of Artificial Intelligence, Vol. 26:467–477, March 2013
  10. Bogdan Raducanu, Fadi Dornaika. Texture-independent recognition of facial expressions in image snapshots and videos. Machine Vision and Applications, 24(4):811-820, May 2013
  11. F. Dornaika, B. Raducanu. Out-of-Sample Embedding for Manifold Learning Applied to Face Recognition. Accepted for publication in CVPR2013, Workshop on Analysis and Modeling of Faces and Gestures (AMFG), June 2013, Portland (OR), USA
  12. Juan Ramon Terven Salinas, Joaquın Salas, Bogdan Raducanu. Estado del Arte en Sistemas de Vision Artificial para Personas Invidentes, Komputer Sapiens, Vol. I, pp. 20-25, Junio 2013, Mexico

2012

  1. Drozdzal M, Seguí S, Vitrià J, Malagelada C, Azpiroz F, Radeva P. Adaptable image cuts for motility inspection using WCE. Comput Med Imaging Graph. 2012 Oct 22. doi:pii: S0895-6111(12)00155-3. 10.1016/j.compmedimag.2012.09.002.
  2. Segui, S.; Drozdzal, M.; Vilarino, F.; Malagelada, C.; Azpiroz, F.; Radeva, P.; Vitria, J.; , Categorization and Segmentation of Intestinal Content Frames for Wireless Capsule Endoscopy, Information Technology in Biomedicine, IEEE Transactions on , vol.16, no.6, pp.1341-1352, Nov. 2012. doi: 10.1109/TITB.2012.2221472
  3. D. Masip, A. Todorov and J. Vitrià. The Role of Facial Regions in Evaluating Social Dimensions. COMPUTER VISION – ECCV 2012. WORKSHOPS AND DEMONSTRATIONS Lecture Notes in Computer Science, 2012, Volume 7584/2012, 210-219, DOI: 10.1007/978-3-642-33868-7_21.
  4. Víctor Borjas, Michal Drozdzal, Petia Radeva and Jordi Vitrià.  Human Relative Position Detection Based on Mutual Occlusion. Lecture Notes in Computer Science, 2012, Volume 7441, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, Pages 332-339
  5. E.Zaitseva, J.Vitrià, A search based approach to non maximum suppression in face detection. 2012 IEEE International Conference on Image Processing, Orlando, USA.
  6. E.Zaitseva, S.Seguí, J.Vitrià. Sketchable Histograms of Oriented Gradients for Object Detection. 17th Iberomerican Conference on Pattern Recognition. Buenos Aires, Argentina. 2012. Lecture Notes in Computer Science, 2012, Volume 7441, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, Pages 374-381
  7. Mario Hernández Tejera, João M. Sanches, Jordi Vitrià, Selected papers from Iberian Conference on Pattern Recognition and Image Analysis, Pattern Recognition, Available online 14 April 2012, ISSN 0031-3203, 10.1016/j.patcog.2012.04.005.
  8. Patent: SYSTEM AND METHOD FOR AUTOMATIC DETECTION OF IN VIVO CONTRACTION VIDEO SEQUENCES. Inventors: Michal Drozdzal, Petia Radeva, Santiago Segui Mesquida, Laura Igual-Muñoz, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià. Publication date: 2012/3/8. Patent office: US. Patent number: 20120057766.
  9. Malagelada, C., De lorio, F., Seguí, S., Mendez, S., Drozdzal, M., Vitria, J., Radeva, P., Santos, J., Accarino, A., Malagelada, J. R. and Azpiroz, F. (2012), Functional gut disorders or disordered gut function? Small bowel dysmotility evidenced by an original technique. Neurogastroenterology & Motility, 24: 223–e105. doi: 10.1111/j.1365-2982.2011.01823.x
  10. C. Malagelada, S. Seguí, M. Drozdzal, S. Méndez Soriano, A. Accarino, J. Santos, J. R. Malagelada, J. Vitria, Fernando Azpiroz. Distinctive dysmotility patterns demonstrated by computer vision analysis of capsule endoscopy images in patients with functional gut disorders. Digestive Disease Week, San Diego, California, May 19 – May 22, 2012.
  11. Escalera, S.; Baró, X.; Vitrià, J.; Radeva, P.; Raducanu, B. Social Network Extraction and Analysis Based on Multimodal Dyadic Interaction. Sensors 2012, 12, 1702-1719.
  12. S.Seguí, M.Drozdzal, P.Radeva, J.Vitrià. An integrated approach to face detection. International Conference on Pattern Recognition Applications and Methods, Vilamoura, Portugal, 6-8 Feb 2012.

2011

  1. Escalera, S., Baró, X., Pujol, O., Vitrià, J., Radeva, P. Traffic-Sign Recognition Systems. Sringer. Series: SpringerBriefs in Computer Science. 2011, ISBN 978-1-4471-2244-9
  2. Rojas Q. M, Masip D, Todorov A, Vitrià J (2011) Automatic Prediction of Facial Trait Judgments: Appearance vs. Structural Models. PLoS ONE 6(8): e23323. doi:10.1371/journal.pone.0023323.
  3. Vitrià, Jordi; Sanches, João Miguel Raposo; Hernández, Mario. Pattern recognition and image analysis. Lecture Notes in Computer Science, Springer-Verlag, Volume: 6669, 2011, ISBN: 978-3-642-2125.
  4. Patent: SYSTEM AND METHOD FOR SYNCHRONIZING IMAGE SEQUENCES CAPTURED IN-VIVO FOR AUTOMATIC COMPARISON. Inventors: Michal Drozdzal, Petia Radeva, Jordi Vitrià, Fernando Azpiroz, Carolina Malagelada, Santiago Segui Mesquida, Laura Igual-Muñoz. Publication date: 2011/12/15. Patent office: US. Patent number: 20110305377.
  5. M. Rojas, D. Masip and J. Vitrià. Predicting Dominance Judgements Automatically: A Machine Learning Approach. SBA 2011: IEEE International Workshop On Social Behavior Analysis 2011, Santa Barbara, CA, 21 MARCH 2011 (in conjuntion with FG 2011).
  6. M. Rojas, D. Masip and J. Vitrià.  Automatic Detection of Facial Feature Points via HOGs and Geometric Prior Models. Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2011, Las Palmas de Gran Canaria (Spain), June 8-10, 2011.
  7. M. Drozdzal, S. Segui, C.Malagelada, F.Azpiroz, J. Vitria and P. Radeva Interactive labeling of WCE images. Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2011, Las Palmas de Gran Canaria (Spain), June 8-10, 2011.
  8. S. Escalera, D. Masip, E. Puertas, P. Radeva, and O.Pujol, Online Error-Correcting Output Codes, Pattern Recognition Letters, Volume 32, Issue 3, pp. 458-467, Elsevier, North Holland, ISSN 0167-8655, IF JCR CCIA 1.303 2009 54/103, 2011.
  9. S.Escalera, D.M. J. Tax, O. Pujol, P.Radeva, and R.P.W. Duin, Multi-class Classification in Image Analysis Via Error-Correcting Output Codes, H. Kwasnicka and L. Jain Eds., Innovations in Intelligent Image Analysis, pp. 1-24, 1st Edition Hardcoder 326 p 2011, Series: Studies in Computational Intelligence, ISBN 978-3-642-17933-4, Springer-Verlag, Vol. 339, 2011.
  10. V.Ponce, M.Gorga, X.Baró, and S.Escalera, Human Behavior Analysis from Video Data using Bag-of-Gestures, International Joint Conference on Artificial Intelligence IJCAI, Barcelona, 16/07/2011-22/07/2011.
  11. M.Bautista, O.Pujol, X.Baró, and S.Escalera, Introducing Separability Matrix for Error Correcting Output Codes coding, Multiple Classifier Systems MCS, Naples, Italy, 15/06/2011-17/06/2011.
  12. Eloi Puertas, Sergio Escalera, and Oriol Pujol, Multi-class Multi-scale Stracked Sequential Learning, Multiple Classifier Systems MCS, Naples, Italy, 15/06/2011-17/06/2011.
  13. Xavier Pérez, Cecilio Angulo, and Sergio Escalera, Biologically Inspired Path Execution using SURF Flow in Robot Navigation, International work conference on artificial neural networks IWANN, Malaga, Spain, 08/06/2011-10/06/2011.
  14. O.Amoros, S.Escalera, and A.Puig, Adaboost GPU-based Classifier for Direct Volume Rendering, International Conference on Computer Graphics Theory and Applications, GRAPP 2011, pp. 215-219, Algarve, Portugal, 05/03/2011-07/03/2011. Poster.
  15. Fornes, A.; Escalera, S.; Pujol, O.; Radeva, P.; Llados, J., Circular Blurred Shape Models for Multi-class Symbol Recognition, IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, vol 41, n. 2, pp. 597-506, 2011.
  16. Seabra, J.; Ciompi, F.; Pujol, O.; Radeva, P.; Sanches, J., Rayleigh Mixture Model for Plaque Characterization in Intravascular Ultrasound, IEEE Transactions on Biomedical Engineering, 2011.
  17. P. Casale; O. Pujol; P. Radeva, Approximate Convex Hulls Family for One-Class Classification, MCS 2011, Lecture Notes on Computer Science, 2011.
  18. Casale, P.; Pujol, O.; Radeva, P., Human Activity Recognition from Accelerometer Data using a Wearable Device, IBPRIA 11, Lecture Notes on Computer Science, 2011.
  19. Balocco, S.; Alberti, M.; Ciompi, F.; Pujol, O.; Radeva, P., Combining Growcut and Temporal Correlation for IVUS Lumen Segmentation, IBPRIA11, Lecture Notes on Computer Science, 2011.
  20. Alberti, M.; Balocco, S.; Ciompi, F.; Pujol, O.; Radeva, P., Automatic Branching Detection in IVUS Sequences, IBPRIA11, Lecture Notes on Computer Science, 2011.

2010

  1. Sergio Escalera, Oriol Pujol, Petia Radeva; “Error-Correcting Output Codes Library”, Journal of Machine Learning Research, 11(Feb):661−664, 2010.

  2. Sergio Escalera, Rosa M. Martínez, Jordi Vitrià, Petia Radeva, and M. Teresa Anguera, Automatic Dominance Detection in Dyadic Conversations, Escritos de Psicología, vol. 3, issue 2, pp. 41-45, 2010.

  3. Escalera, S.; Fornés, A.; Pujol, O.; Lladós, J.; Radeva, P.; Circular Blurred Shape Model for Multiclass Symbol Recognition, Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions On Volume: PP , Issue: 99, Digital Object Identifier: 10.1109/TSMCB.2010.2060481, 2010 , Page(s): 1 – 10.

  4. Sergio Escalera, Petia Radeva, Jordi Vitrià, Xavier Baró, and Bogdan Raducanu, Modelling and Analyzing Multimodal Dyadic Interactions Using Social Networks, 12th International Conference on Multimodal Interfaces and 7th Workshop on Machine Learning for MultimodalInteraction, ICMI-MLMI 2010, Beijing, China, 2010.
  5. Sergio Escalera, David Masip, Eloi Puertas, Petia Radeva, and Oriol Pujol, Adding Classes Online in Error Correcting Output Codes Framework, International Conference on Pattern Recognition, 2010.

  6. S. Escalera, O. Pujol, E. Laciar, J. Vitrià, E. Pueyo, and P. Radeva. Classification of Coronary Damage in Chronic Chagasic Patients. To Appear in: V. Sgurev, M. Hadjiski (eds). Intelligent Systems – From Theory to Practice. Post Conference IEEE-IS 2008 Volume, Studies in Computational Intelligence, Springer-Verlag, 2010.
  7. S. Balocco, C. Gatta, O. Pujol, J. Mauri and P. Radeva, SRBF: Speckle Reducing Bilateral Filtering, Ultrasound Med Biol 36, 1353-1363 (2010).
  8. S. Balocco, O. Basset, G. Courbebaisse, E. Boni, A. F. Frangi, P. Tortoli and C. Cachard, Estimation Of The Viscoelastic Properties Of Vessel Walls Using A Computational Model And Doppler Ultrasound, Phys Med Biol 55, 3557-3575 (2010).
  9. S. Balocco, O. Camara, E. Vivas, T. Sola, L. Guimaraens, H. A. Gratama van Andel, C. B. Majoie, J. M. Pozo, B. H. Bijnens and A. F. Frangi, Feasibility Of Estimating Regional Mechanical Properties Of Cerebral Aneurysms In Vivo, Med Phys 37, 1689-1706 (2010).
  10. M. Bautista., X. Baró, O. Pujol, P.Radeva, J.Vitrià, and S.Escalera. Compact Evolutive Design of Error-Correcting Output Codes. In Supervised and Unsupervised Ensemble Methods and their Applications – SUEMA 2010, September 20, 2010 – Barcelona, Spain.
  11. S. Escalera, R. M. Martínez, J. Vitrià, P. Radeva, M. T.  Anguera. Detección automática de la dominancia en conversaciones diádicas. Escritos de Psicología, Vol. 3, nº 2, pp. 41-45, 2010.
  12. A. Hernández, M. Reyes, S. Escalera, and P. Radeva. Spatio-Temporal GrabCut Human Segmentation for Face and Pose Recovery, IEEE International Workshop on Analysis and Modeling of Faces and Gestures. 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
  13. M.  Drozdzal, L.  Igual, P. Radeva, J. Vitrià, C. Malagelada and F. Azpiroz. Aligning Endoluminal Scene Sequences in Wireless Capsule Endoscopy. IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis MMBIA10. 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
  14. F.Dornaika, B.Raducanu. Single Snapshot-Based 3D Head Pose Initialization for Tracking in a HRI Scenario. First International Workshop on Computer Vision for Human-Robot Interaction (CVforHRI 2010). 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
  15. S. Escalera, O. Pujol, and P. Radeva, Traffic Sign Recognition System with Beta-Correction, Machine Vision and Applications, vol. 21, issue 2, pp. 99-, 2010.
  16. S. Escalera, O. Pujol, and P. Radeva, Re-coding ECOCs without Re-training, Pattern Recognition Letters, 2010, in press.
  17. B. Raducanu, J. Vitrià and A. Leonardis. Online pattern recognition and machine learning techniques for computer-vision: Theory and applications. Image and Vision Computing, Volume 28, Issue 7, July 2010, pp. 1063-1064. (Editorial for the Special Issue on Online pattern recognition and machine learning techniques).
  18. Vilarino, F.; Spyridonos, P.; DeIorio, F.; Vitrià, J.; Azpiroz, F.; Radeva, P.; Intestinal Motility Assessment With Video Capsule Endoscopy: Automatic Annotation of Phasic Intestinal Contractions, Medical Imaging, IEEE Transactions on , vol.29, no.2, pp.246-259, Feb. 2010.
  19. M.Rojas, D.Masip, A.Todorov, J.Vitrià, Automatic Point-based Facial Trait Judgments Evaluation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010.
  20. S. Escalera, O. Pujol, P. Radeva, J. Vitrià and M. Teresa Anguera. Automatic Detection of Dominance and Expected Interest. EURASIP Journal on Advances in Signal Processing, 2010.
  21. S. Segui, L. Igual and J. Vitrià. Weighted Bagging for Graph based One-Class Classifiers. 9th International Workshop on Multiple Classifier Systems. Nile University, Cairo, Egypt April 7-9 2010. In N. El Gayar, J. Kittler, and F. Roli (Eds.): MCS 2010, LNCS 5997, pp. 1–10, 2010. Springer-Verlag Berlin Heidelberg 2010.
  22. O. Pujol. Boosted Geometry-Based Ensembles. 9th International Workshop on Multiple Classifier Systems. Nile University, Cairo, Egypt April 7-9 2010. In N. El Gayar, J. Kittler, and F. Roli (Eds.): MCS 2010, LNCS 5997, pp. 1–10, 2010. Springer-Verlag Berlin Heidelberg 2010: pp. 195-204.
  23. F.Ciompi, O.Pujol and P.Radeva. A meta-learning approach to Conditional Random Fields using Error-Correcting Output Codes. IEEE International Conference on Pattern Recognition (ICPR), 2010.
  24. J.Seabra, J.Sanchez, F.Ciompi and P.Radeva. Ultrasonographic Plaque Characterization using a Rayleigh Mixture Model. IEEE International Symposium on Biomedical Imaging (ISBI), 2010.
  25. F.Ciompi, C.Gatta, O.Pujol, O.Rodríguez-Leor, J.Mauri-Ferré, P.Radeva. Reconstruction and analysis of Intravascular Ultrasound sequences. Recent Advances in Biomedical Signal Processing; 15,223-243, 2010.
  26. AA. Juan, J. Faulin, J. Jorba, D. Riera, D.  Masip,  and B. Barrios. On the use of Monte Carlo simulation, cache and splitting techniques to improve the Clarke and Wright savings heuristics. Journal of the Operational Research Society. July 2010.

2009

  1. Sergio Escalera, Alicia Fornés, Oriol Pujol, Petia Radeva, Gemma Sánchez, Josep Lladós: “Blurred Shape Model for binary and grey-level symbol recognition”. Pattern Recognition Letters 30(15): 1424-1433 (2009).

  2. Escalera, S.; Martinez, R.M.; Vitria, J.; Radeva, P.; Anguera, M.T.; “Dominance detection in face-to-face conversations“, Computer Vision and Pattern Recognition Workshops, 2009. CVPR Workshops 2009. IEEE Computer Society Conference on 20-25 June 2009 Page(s):97 – 102.

  3. Escalera, S.; Puertas, E.; Radeva, P.; Pujol, O.; “Multi-modal laughter recognition in video conversations“, Computer Vision and Pattern Recognition Workshops, 2009. CVPR Workshops 2009. IEEE Computer Society Conference on 20-25 June 2009 Page(s):110 – 115.

  4. Mehdi Mirza-Mohammadi, Sergio Escalera, Petia Radeva: Contextual-Guided Bag-of-Visual-Words Model for Multi-class Object categorization. CAIP 2009: 748-756.

  5. Maria Salamó, Sergio Escalera, Petia Radeva: Quality Enhancement Based on Reinforcement Learning and Feature Weighting for a Critiquing-Based Recommender. ICCBR 2009: 298-312.

  6. Sergio Escalera, Alicia Fornés, Oriol Pujol, Petia Radeva: Multi-class Binary Symbol Classification with Circular Blurred Shape Models. ICIAP 2009: 1005-1014.

  7. Sergio Escalera, Oriol Pujol, Petia Radeva: Recoding Error-Correcting Output Codes. MCS 2009: 11-21.

  8. Sergio Escalera, Alicia Fornés, Oriol Pujol, Alberto Escudero, and Petia Radeva, Circular Blurred Shape Model for Symbol Spotting in Documents, IEEE International Conference on Image Processing, pp. 2005-2008, 2009.

  9. S. Escalera, O. Pujol, P. Radeva and J. Vitrià, Measuring Interest of  Human Dyadic Interactions, Proceedings of the 12th International Conference on Artificial Intelligence Research and Development. CCIA 2009, Cardona (Spain); ISBN 978-1-60750-061-2.

  10. F. de Iorio, C. Malagelada, F. Azpiroz, M. Maluenda, C. Violanti, L. Igual, J. Vitrià, J.R. Malagelada. Intestinal motor activity, endoluminal motion and transit. Neurogastroenterology & Motility, 2009.
  11. Dornaika, F.; Raducanu, B., Three-Dimensional Face Pose Detection and Tracking Using Monocular Videos: Tool and Application, Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on , vol.39, no.4, pp.935-944, Aug. 2009
  12. B. Raducanu, J.Vitria, and D. Gatica-Perez. You are Fired! Nonverbal Role Analysis in Competitive Meetings. In Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Taiwan, Apr. 2009.
  13. Lapedriza, Agata (2009) Multitask Learning Techniques for Automatic Face Classication. PhD thesis, CVC.
  14. Baró, Xavier (2009) Probabilistic Darwin Machines: A new approach to develop Evolutionary Object Detection Systems. PhD thesis, Computer Vision Center, UAB.
  15. Escalera, Sergio (2009) Coding and Decoding Design of ECOCs for Multi-class Pattern and Object Recognition. PhD thesis, UAB.
  16. Baro, X. Escalera, S. Vitria, J. Pujol, O. Radeva, P. Traffic Sign Recognition Using Evolutionary Adaboost Detection and Forest-ECOC Classification. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 10, 1, pp.  113-126, 2009.
  17. Escalera, S.    Pujol, O.  Mauri, J. Radeva, P. Intravascular Ultrasound Tissue Characterization with Sub-class Error-Correcting Output Codes. JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY. 55, 1-3, pp. 35-47, 2009.
  18. Masip, D. Lapedriza, A., Vitrià, J. Boosted online learning for face recognition. IEEE Trans Syst Man Cybern B Cybern. 39, 2, pp. 530-538, 2009.
  19. S. Escalera, O. Pujol, and P. Radeva, Re-coding ECOCs without Re-training, Pattern Recognition Letters, 2010, in press
  20. S. Escalera, A. Fornés, O. Pujol, P. Radeva, G. Sánchez, and J. Lladós, Blurred Shape Model for Binary and Grey-level Symbol Recognition, Pattern Recognition Letters, doi:10.1016/j.patrec.2009.08.001, 2009.
  21. S. Escalera, O. Pujol, and P. Radeva, On the Decoding Process in Ternary Error-Correcting Output Codes, Transactions in Pattern Analysis and Machine Intelligence, vol. 99, issue 1, 2009.Appendix with the set of experiment performances.
  22. S. Escalera, O.l Pujol, and P. Radeva, Separability of Ternary Codes for Sparse Designs of Error-Correcting Output Codes, in Pattern Recognition Letters, vol. 30, issue 3, pp. 285-297, 2009.
  23. O. Pujol, D. Masip. “Geometry-Based Ensembles: Toward a Structural Characterization of the Classification Boundary”. IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol 31, Issue 6, 1140-1146. July 2009.
  24. S. Escalera, X. Baró, J. Vitrià, and P. Radeva. Text Detection in Urban Scenes. Artificial Intelligence Resarch and Development, Frontiers in Artificial Intelligence and Applications, Vol. 202 . pp. 35-44. ISBN: 978-1-60750-061-2. October 2009.
  25. X. Baró, S. Escalera, P. Radeva, and J. Vitrià. Generic Object Recognition in Urban Image Databases. Artificial Intelligence Resarch and Development, Frontiers in Artificial Intelligence and Applications, Vol. 202 . pp. 27-34. ISBN: 978-1-60750-061-2. October 2009.
  26. X. Baró and J. Vitrià. Probabilistic Darwin Machines for Object Detection. In Proceedings of the 2009 International Conference on Image Processing, Computer Vision, and Pattern Recognition. July 2009.
  27. X. Baró, S. Escalera, P. Radeva, and J. Vitrià. Visual Content Layer for Scalable Object Recognition in Urban Image Databases.In Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, pp.1616-1619. ISSN: 1945-7871. July 2009.