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Conference Paper
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.
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.
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)
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)
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)
Seguí A, Ugalde A, Ventosa S, Morros JR. Lossless and Lossy Compression for Distributed Acoustic Sensing Using Inter-channel Predictions. In SSA Photonic Seismology 2024. Vancouver; In Press.
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)
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)
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)
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.
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.
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.
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.
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)
Oliveras A. Maximum likelihood factor analysis in malaria cytokines analysis and modelling. In IEEE International Workshop on Genomic Signal Processing and Statistics. 2009.
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)
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)
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.
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)
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)
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)
Rolón J, Ortega A, Salembier P. Modeling of contours in wavelet domain for generalized lifting image compression. In IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009. Taipei, Taiwan; 2009.  (226.33 KB)
Dimiccoli M, Morel J, Salembier P. Monocular Depth by Nonlinear Diffusion. In IEEE Sixth Indian Conference on Computer Vision, Graphics & Image Processing, ICVGIP 2008. Bhubaneswar, India; 2008. pp. 140–148.  (664.12 KB)
Combalia M, Vilaplana V. Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification. In Workshop on Deep Learning in Medical Image Analysis, MICCAI. Granada, Spain; 2018.

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