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] . Sign-Language Translation with Pseudo-Glosses. 2022. 
(7.51 MB)
(7.51 MB). Co-filtering human interaction and object segmentation. . 2015. (1.82 MB)
(1.82 MB). Quality Control in Crowdsourced Object Segmentation. In IEEE International Conference on Image Processing (ICIP), 2015. 2015. (362.33 KB)
(362.33 KB). Inclusion of video information for detection of acoustic events using the fuzzy integral. In Machine Learning for Multimodal Interaction: 5th International Workshop. 2008. pp. 74–85.
. Fusion of Audio and Video Modalities for Detection of Acoustic Events. In Interspeech 2008, 9th Annual Conference of the International Speech Communication Association. Brisbane, Australia: ISCA; 2008. pp. 123–126.
. Improving Detection of Acoustic Events Using Audiovisual Data and Feature Level Fusion. In 10th Annual Conference of the International Speech Communication Association. 2009. pp. 1147–1150.
. Acoustic event detection based on feature-level fusion of audio and video modalities. Eurasip journal on advances in signal processing. 2011;2011:1–11.
. Topic Detection in Continuous Sign Language Videos. In Accessibility, Vision, and Autonomy Meet (AVA) CVPR Workshop. 2022. (1.82 MB)
(1.82 MB). Multimodal 3D Hand Pose Enhancement for Sign Language. . 2022 . (1.2 MB)
(1.2 MB). Topic Detection from Sign Language Videos. . 2022.
. Detección de vertidos de petróleo en el mar a partir de imágenes SAR. In XV Simposium Nacional de la Unión Científica Internacional de Radio. 2000. pp. 327–328.
. Definició d'un Master Internacional de Recerca: la proposta del Departament de Teoria del Senyal i Comunicacions. In Jornada de reflexión y trabajo sobre el modelo docente de la UPC en el Espacio Europeo de ecuación Superior (EEES). 2004. pp. 1–3.
. 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.
. 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.
. Personalized Image Classi cation from EEG Signals using Deep Learning. . 2017. (4.51 MB)
(4.51 MB). 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.
. Ensemble learning and hierarchical data representation for microarray classification. In 13th IEEE International Conference on BioInformatics and BioEngineering BIBE. Chania, Crete: 13th IEEE International Conference on BioInformatics and BioEngineering,; 2013. (241.56 KB)
(241.56 KB). Hierarchical information representation and efficient classification of gene expression microarray data. . TSC. [Barcelona]: Universitat Politecnica de Catalunya; 2014. p. 150. (2.76 MB)
(2.76 MB). Hierarchical Clustering Combining Numerical and Biological Similarities for Gene Expression Data Classification. In 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’13) . Osaka, Japan: IEEE EMBS; 2013. (435.72 KB)
(435.72 KB). 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). Feature set enhancement via hierarchical clustering for microarray classification. In IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2011. 2011. pp. 226 -229. (254.44 KB)
(254.44 KB). Gene Expression Data Classification Combining Hierarchical Representation and Efficient Feature Selection. Journal of Biological Systems. 2012;20:349-375. (711.35 KB)
(711.35 KB). An Epipolar-Constrained Prior for Efficient Search in Multi-View Scenarios. In EUSIPCO. Lisbon; 2014. (3.69 MB)
(3.69 MB). Quantitative Ultrasound Texture Analysis of Fetal Lungs To Predict Neonatal Respiratory Morbidity. Ultrasound in Obstetrics and Gynecology, Wiley. 2014;44.
. Quantitative Ultrasound Texture Analysis of Fetal Lungs To Predict Neonatal Respiratory Morbidity. Ultrasound in Obstetrics and Gynecology, Wiley. 2015;45(4):427–433.