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Benediktsson J, Bruzzone L, Chanussot J, Dalla Mura M, Salembier P, Valero S. Hierarchical analysis of remote sensing data: morphological attribute profiles and binary partition trees. In International Symposium on Mathematical Morphology 2011. Intra, Lake Maggiore, Italy; 2011. pp. 306–319.  (394.77 KB)
Benediktsson J, Bruzzone L, Chanussot J, Dalla Mura M, Salembier P, Valero S. Hierarchical analysis of remote sensing data: morphological attribute profiles and binary partition trees. In International Symposium on Mathematical Morphology 2011. Intra, Lake Maggiore, Italy; 2011. pp. 306–319.  (394.77 KB)
Bosio M, Salembier P, Bellot P, Oliveras A. 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)
Bosio M, Salembier P, Bellot P, Oliveras A. 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)
Bosio M. Hierarchical information representation and efficient classification of gene expression microarray data. Salembier P, Oliveras A. TSC. [Barcelona]: Universitat Politecnica de Catalunya; 2014. p. 150.  (2.76 MB)
Bellver M, Giró-i-Nieto X, Marqués F, Torres J. Hierarchical Object Detection with Deep Reinforcement Learning. In Deep Learning for Image Processing Applications. Amsterdam, The Netherlands: IOS Press; 2017.
Bellver M, Giró-i-Nieto X, Marqués F, Torres J. Hierarchical Object Detection with Deep Reinforcement Learning. In Deep Reinforcement Learning Workshop, NIPS 2016. 2016.  (877.51 KB)
Landabaso J-L, Pardàs M, Bonafonte A. HMM recognition of expressions in unrestrained video intervals. In International conference on Acoustics, Speech, and Signal Processing. 2003. pp. 197–200.
Bach M, Thiran J, Marqués F. How can physicians quantify brain degeneration?. In: Dutoit T, Marqués F. Applied signal processing. 2009. pp. 411–449.
Marqués F, Vilaplana V, Buxes A. Human face segmentation and tracking using connected components and partition projection. In 1999 IEEE INternational Conference on Image Processing. 1999.
Bonet D, Mas-Montserrat D, Giró-i-Nieto X, Ioannidis AG. HyperFast: Instant Classification for Tabular Data. In 38th Annual AAAI Conference on Artificial Intelligence (AAAI). 2024.  (3.15 MB)
Ramon E, Ruiz G, Batard T, Giró-i-Nieto X. Hyperparameter-Free Losses for Model-Based Monocular Reconstruction. In ICCV 2019 Workshop on Geometry Meets Deep Learning. Seoul, South Corea: IEEE / Computer Vision Foundation; 2019.  (749.7 KB)
Schürholt K, Knyazev B, Giró-i-Nieto X, Borth D. Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights. In NeurIPS 2022 - Neural Information Processing Systems. 2022.  (4.6 MB)
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Bakas S, Reyes M, Jakab A, Bauer S, Casamitjana A, Vilaplana V, et al.. Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge. In MICCAI - Multimodal Brain Tumor Segmentation Challenge. 2018.
Bakas S, Reyes M, Jakab A, Bauer S, Casamitjana A, Vilaplana V, et al.. Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge. In MICCAI - Multimodal Brain Tumor Segmentation Challenge. 2018.
Bellver M. Image and Video Object Segmentation in Low Supervision Scenarios. Torres J, Giró-i-Nieto X. Computer Architectures. [Barcelona]: Universitat Politecnica de Catalunya; 2021.
Romero-Lopez A, Burdick J, Giró-i-Nieto X, Marques O. The Impact of Segmentation on the Accuracy and Sensitivity of a Melanoma Classifier based on Skin Lesion Images. In Annual Meeting of the Society of Imaging Informatics in Medicine (SIIM). Pittsburgh, PA, USA: Society of Imaging Informatics for Medicine; 2017.  (433.28 KB)
Bragos R, Pegueroles J, Alarcón E, Camps A, Sardà J, Consolacion C, et al.. 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.
Hernandez C, Kiroglu A, García S, Ficapal J, Burgos J, Podlipnik S, et al.. Implementation of personalized medicine in cutaneous melanoma patients aided by artificial intelligence. In 10th World Congress of2 Melanoma / 17th EADO Congress. 2021.
Bonet D. Improved Neural Network Generalization using Channel-Wise NNK Graph Constructions. Ortega A, Ruiz-Hidalgo J, Shekkizhar S. Final Year Project, UPC; 2021.  (3.67 MB)
Butko T, Canton-Ferrer C, Segura C, Giró-i-Nieto X, Nadeu C, Hernando J, et al.. 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.
Butko T, Temko A, Nadeu C, Canton-Ferrer C. 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.
Marqués F, Bouchard L, Corset I, Jeannin S, Morros JR, Pardàs M, et al.. Interleaved segmentation and motion estimation by means of morphological tools. In Workshop on Image Analysis and Synthesis in Image Coding. Berlin, Germany; 1994.
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Fernàndez D, Marqués F, Giró-i-Nieto X, Bou-Balust E. Knowledge graph population from news streams. Signal Theory and Communications. [Barcelona, Catalonia]: Universitat Politècnica de Catalunya; 2023.  (6.07 MB)
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Cabrera M, Fernandez J, Berzosa C, Francisco V, Gasull A. LaViCAD: LABORATORIO VIRTUAL DE COMUNICACIONES ANALÓGICAS Y DIGITALES. In 4rt. Congrés Internacional de Docència Unversitària i Innovació. 2004. pp. 1–20.

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