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. Implementation and first results of the Introduction to Engineering course in the ETSETB-UPC new degrees. In II Conferencia Internacional en Fomento e Innovación con Nuevas Tecnologías en la Docencia de la Ingeniería. 2011. pp. 1–4.
. Improving Spatial Codification in Semantic Segmentation. In IEEE International Conference on Image Processing (ICIP), 2015. Quebec City: IEEE; 2015. 
(18.81 MB)
(18.81 MB). Insight Centre for Data Analytics (DCU) at TRECVid 2014: Instance Search and Semantic Indexing Tasks. In 2014 TRECVID Workshop. Orlando, Florida (USA): National Institute of Standards and Technology (NIST); 2014. (2.45 MB)
(2.45 MB). Insight DCU at TRECVID 2015. In TRECVID 2015 Workshop. Gaithersburg, MD, USA: NIST; 2015. (2.13 MB)
(2.13 MB). Learning Cross-modal Embeddings for Cooking Recipes and Food Images. In CVPR. Honolulu, Hawaii, USA: CVF / IEEE; 2017. (3.37 MB)
(3.37 MB). Magnetic Resonance Imaging as a valuable tool for Alzheimer's disease screening. In Alzheimer’s Association International Conference, London, 2017. 2017.
. Maximum likelihood factor analysis in malaria cytokines analysis and modelling. In IEEE International Workshop on Genomic Signal Processing and Statistics. 2009.
. Microarray classification with hierarchical data representation and novel feature selection criteria. In IEEE 12th International Conference on BioInformatics and BioEngineering. Larnaca, Cyprus; 2012. (513.59 KB)
(513.59 KB). Modeling of contours in wavelet domain for generalized lifting image compression. In IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009. Taipei, Taiwan; 2009. (226.33 KB)
(226.33 KB). Motion analysis of image sequences using connected operators. In SPIE Visual Communications and Image Processing, VCIP'97. San Jose, CA, USA; 1997. pp. 546–557. (271.86 KB)
(271.86 KB). Motion connected operators for image sequences. In VIII European Signal Processing Conference, EUSIPCO'96. Trieste, Italy; 1996. pp. 1083–1086. (298.97 KB)
(298.97 KB). Multiclass cancer microarray classification algorithm with Pair-Against-All redundancy. In The 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS’12). Washington, DC, USA; 2012.
. Multiple view region matching using as a Lagrangian optimization problem. In 2007 International Conference on Acoustics, Speech and Signal Processing. 2007.
. Object segmentation in images using EEG signals. In ACM Multimedia. Orlando, Florida (USA); 2014.
. PathGAN: Visual Scanpath Prediction with Generative Adversarial Networks. In ECCV 2018 Workshop on Egocentric Perception, Interaction and Compution (EPIC). Munich, Germany: Springer; 2018. (3.78 MB)
(3.78 MB). Performance evaluation of probability density estimators for unsupervised information theoretical region merging. In 16th International Conference on Image Processing. 2009. pp. 4397–4400.
. Practical extensions of connected operators. In International Symposium on Mathematical Morphology, ISMM 1996. Atlanta (GA), USA; 1996. pp. 97–110. (368.26 KB)
(368.26 KB). Proceso de inversión de competencias genéricas en los nuevos planes de estudios de grado de la ETSETB de acuerdo con el modelo CDIO. In IX Congreso de Tecnologías Aplicadas a la Enseñanza de la Electrónica. 2010. pp. 1–9.
. Region and object segmentation algorithms in the QIMERA segmentation platform. In Third International Workshop on Content-Based Multimedia Indexing. 2003. pp. 95–103.
. SalGAN: Visual Saliency Prediction with Generative Adversarial Networks. In CVPR 2017 Scene Understanding Workshop (SUNw). Honolulu, Hawaii, USA; 2017. (1.85 MB)
(1.85 MB). Saliency Weighted Convolutional Features for Instance Search. In Content-Based Multimedia Indexing - CBMI. La Rochelle, France: IEEE; 2018. (3.8 MB)
(3.8 MB). SaltiNet: Scan-path Prediction on 360 Degree Images using Saliency Volumes. In ICCV Workshop on Egocentric Perception, Interaction and Computing. Venice, Italy: IEEE; 2017. (2.34 MB)
(2.34 MB). Shallow and Deep Convolutional Networks for Saliency Prediction. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR. Las Vegas, NV, USA: Computer Vision Foundation / IEEE; 2016. (466.13 KB)
(466.13 KB). Simbad:a tool for speech analysis and synthesis. In IASTED INT.CONF.SIGNAL PROC.&DIG.FILT. 1990.
. Simple vs complex temporal recurrences for video saliency prediction. In British Machine Vision Conference (BMVC). Cardiff, Wales / UK.: British Machine Vision Association; 2019. (1.79 MB)
(1.79 MB)