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Computers in the Human Interaction Loop. In Handbook on Ambient Intelligence and Smart Environments (AISE). Boston, MA: Springer; 2010. pp. 1071–1116.
. Mixed integration of CDIO skills into telecommunication engineering curricula. Elektronika ir elektrotechnika. 2010;102(6):127–130.
. 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.
. 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)
. Format-agnostic approach for production, delivery and rendering of immersive media. In Networked and Electronic Media Summit. 2011. p. –. (3.19 MB)
. 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.
. 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.
. Media Aesthetics Based Multimedia Storytelling. . Universitat Politècnica de Catalunya (UPC); 2011. (4.07 MB)
. Gene Expression Data Classification Combining Hierarchical Representation and Efficient Feature Selection. Journal of Biological Systems. 2012;20:349-375. (711.35 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)
. 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)
. 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)
. Investigating EEG for Saliency and Segmentation Applications in Image Processing. . 2013. (332.54 KB)
. Hierarchical information representation and efficient classification of gene expression microarray data. . TSC. [Barcelona]: Universitat Politecnica de Catalunya; 2014. p. 150. (2.76 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)
. An investigation of eye gaze tracking utilities in image object recognition. . 2014. (1.63 MB)
. Object segmentation in images using EEG signals. In ACM Multimedia. Orlando, Florida (USA); 2014.
. Exploring EEG for Object Detection and Retrieval. In ACM International Conference on Multimedia Retrieval (ICMR) . Shanghai, China; 2015. (5.37 MB)
. Improving Object Segmentation by using EEG signals and Rapid Serial Visual Presentation. Multimedia Tools and Applications. 2015;. (3.86 MB)
. Improving Spatial Codification in Semantic Segmentation. In IEEE International Conference on Image Processing (ICIP), 2015. Quebec City: IEEE; 2015. (18.81 MB)
. . Insight DCU at TRECVID 2015. In TRECVID 2015 Workshop. Gaithersburg, MD, USA: NIST; 2015. (2.13 MB)
. NetBenchmark: a bioconductor package for reproducible benchmarks of gene regulatory network inference. BMC Bioinformatics. 2015;16. (851.49 KB)
. NetBenchmark: a bioconductor package for reproducible benchmarks of gene regulatory network inference. BMC Bioinformatics. 2015;16. (851.49 KB)
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