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. Exploring EEG for Object Detection and Retrieval. In ACM International Conference on Multimedia Retrieval (ICMR) . Shanghai, China; 2015. 
(5.37 MB)
(5.37 MB). 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). Fine-tuning of CNN models for Instance Search with Pseudo-Relevance Feedback. Long Beach, CA, USA: NIPS 2017 Women in Machine Learning Workshop; 2017. (341.96 KB)
(341.96 KB). Format-agnostic approach for production, delivery and rendering of immersive media. In Networked and Electronic Media Summit. 2011. p. –. (3.19 MB)
(3.19 MB). 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). Generalized connected operators. In SPIE Visual Communication and Image Processing, VCIP'96. Orlando, Florida, USA; 1996. pp. 2727–2771. (270.13 KB)
(270.13 KB). Grounded Sequence to Sequence Transduction. IEEE Journal of Selected Topics in Signal Processing. 2020;14(3):577-591.
. Hate Speech in Pixels: Detection of Offensive Memes towards Automatic Moderation. In NeurIPS 2019 Workshop on AI for Social Good. Vancouver, Canada; 2019. (1.91 MB)
(1.91 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). 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 visual description schemes for still images and video sequences. In 1999 IEEE International Conference on Image Processing, ICIP 1999. Kobe, Japan; 1999. (375.21 KB)
(375.21 KB). 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.
. Improved Neural Network Generalization using Channel-Wise NNK Graph Constructions. . Final Year Project, UPC; 2021. (3.67 MB)
(3.67 MB). Improving Object Segmentation by using EEG signals and Rapid Serial Visual Presentation. Multimedia Tools and Applications. 2015;. (3.86 MB)
(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)
(18.81 MB). Improving Spatial Codification in Semantic Segmentation (Supplementary Material). 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). Investigating EEG for Saliency and Segmentation Applications in Image Processing. . 2013. (332.54 KB)
(332.54 KB). An investigation of eye gaze tracking utilities in image object recognition. . 2014. (1.63 MB)
(1.63 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.
. Magnetic Resonance Imaging as a valuable tool for Alzheimer's disease screening. Alzheimer's & Dementia: The Journal of the Alzheimer's Association. 2017;13(7):P1245.