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Conference Paper
Schürholt K, Taskiran D, Knyazev B, Giró-i-Nieto X, Borth D. Model Zoos: A Dataset of Diverse Populations of Neural Network Models. In NeurIPS 2022 Track Datasets and Benchmarks. New Orleans, Louisiana, USA.; 2022.  (937.59 KB)
Schürholt K, Taskiran D, Knyazev B, Giró-i-Nieto X, Borth D. Model Zoos: A Dataset of Diverse Populations of Neural Network Models. In NeurIPS. 2022.  (937.59 KB)
Huang B, Henry F, Guillemot C, Salembier P. Mode dependent vector quantization with a rate-distortion optimized codebook for residue coding in video compression. In IEEE Int. Conf. on Acoustics Speech and Signal Processing, ICASSP 2015. Brisbane, Australia: IEEE; 2015.  (287.4 KB)
Bosio M, Bellot P, Salembier P, Oliveras A. 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)
López-Méndez A, Gall J, Casas J, van Gool L. Metric Learning from Poses for Temporal Clustering of Human Motion. In British Machine Vision Conference 2012. Guildford, UK; 2012.
Ruiz-Hidalgo J, Salembier P. Metadata-based coding tools for hybrid video codecs. In Picture Coding Symposium, PCS 2003. Saint-Malo, France; 2003. pp. 473–477.  (50.67 KB)
Pont-Tuset J, Marqués F. Measures and Meta-Measures for the Supervised Evaluation of Image Segmentation. In Computer Vision and Pattern Recognition (CVPR). 2013.  (909.27 KB)
Oliveras A. Maximum likelihood factor analysis in malaria cytokines analysis and modelling. In IEEE International Workshop on Genomic Signal Processing and Statistics. 2009.
Morros JR, Vilaplana V, Ruiz-Hidalgo J, Casas J, Gasull A, Marqués F, et al.. Materials transversals per a l'aprenentatge actiu de les matèries de processat d'imatge i vídeo. In Congrés Internacional de Docència Universitària i Innovació (CIDUI). Tarragona, Spain; 2014.  (853.76 KB)
Catà M, Casamitjana A, Sánchez I, Combalia M, Vilaplana V. Masked V-Net: an approach to brain tumor segmentation. In Multimodal Brain Tumor Segmentation Benchmark, Brain-lesion Workshop, MICCAI 2017 . 2017.
Eugenio F, Marcello J, Marqués F. Marine coastal dynamic study using an automatic structure detection and spatial registration tool. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS-03). 2003. pp. 1–3.
Petrone P, Vilaplana V, Casamitjana A, Tucholka A, Falcon C, Cacciaglia R, et al.. Magnetic Resonance Imaging as a valuable tool for Alzheimer's disease screening. In Alzheimer’s Association International Conference, London, 2017. 2017.
Cumplido-Mayoral I, Salvadó G, Shekari M, Falcon C, Alomà MMilà, Baizán ANiñerola, et al.. Machine learning on combined neuroimaging and plasma biomarkers for triaging participants of secondary prevention trials in Alzheimer’s Disease. In Alzheimer's Association International Conference. 2021.
Gurrin C, Giró-i-Nieto X, Radeva P, Dimiccoli M, Dang-Nguyen D-T, Joho H. LTA 2017: The Second Workshop on Lifelogging Tools and Applications. In ACM Multimedia. Mountain View, California USA: ACM; 2017.  (309.94 KB)
Gurrin C, Giró-i-Nieto X, Radeva P, Dimiccoli M, Johansen H, Joho H, et al.. LTA 2016 - The First Workshop on Lifelogging Tools and Applications. In ACM Multimedia. Amsterdam, The Netherlands: ACM; 2016.  (385.75 KB)
Salembier P, Foucher S, López-Martínez C. Low-level processing of PolSAR images with binary partition trees. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2014. Quebec, Canada: IEEE; 2014.  (1.9 MB)
Ruiz-Hidalgo J, Salembier P. Long term selection of reference frame sub-blocks using MPEG-7 indexing metadata. In International Conference on Acoustics, Speech and Signal Processing, ICASSP 2007. Honolulu, Hawaii; 2007. pp. 669–672.  (111.99 KB)
Fernàndez D, Bou-Balust E, Giró-i-Nieto X. Linking Media: adopting Semantic Technologies for multimodal media connection. In International Semantic Web Conference - ISWC (Industry Track). Monterey, CA, USA; 2018.  (265.23 KB)
de Oliveira-Barra G, Giró-i-Nieto X, Cartas-Ayala A, Radeva P. LEMoRe: A Lifelog Engine for Moments Retrieval at the NTCIR-Lifelog LSAT Task. In The 12th NTCIR Conference, Evaluation of Information Access Technologies. Tokyo, Japan: National Institute of Informatics (NII); 2016.  (3.22 MB)
Górriz M, Aparicio A, Raventós B, López-Codina D, Vilaplana V, Sayrol E. Leishmaniasis Parasite Segmentation and Classification Using Deep Learning. In International Conference on Articulated Motion and Deformable Objects. Palma, Spain; 2018.
Alarcón E, Bragos R, Sayrol E. Learning to conceive, design, implement and operate circuits and systems. In 2011 IEEE International Symposium on Circuits and Systems. 2011. pp. 1183–1186.
Salvador A, Hynes N, Aytar Y, Marin J, Ofli F, Weber I, et al.. Learning Cross-modal Embeddings for Cooking Recipes and Food Images. In CVPR. Honolulu, Hawaii, USA: CVF / IEEE; 2017.  (3.37 MB)
Pina O, Vilaplana V. Layer-wise self-supervised learning on graphs. In KDD 2023 Workshop on Deep Learning on Graphs: Methods and Applications (DLG-KDD 2023). Long Beach, USA; 2023.
Cabrera M, Giró-i-Nieto X, Rey F. Lavicad: laboratorio virtual de comunicaciones analógicas y digitales. In XXIII Simposium Nacional de la Unión Científica Internacional de Radio. Madrid, Spain; 2008. pp. 1–4.  (163.98 KB)
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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