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Salvador J, Casas J. Joint estimation of shape and motion from silhouettes. In 2010 IEEE International Conference on Image Processing. 2010. pp. 4069–4072.
Gallego J, Salvador J, Casas J, Pardàs M. Joint multi-view foreground segmentation and 3D reconstruction with tolerance loop. In IEEE International Conference on Image Processing. 2011. pp. 997–1000.
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Figueras P, Haas C, Capdevila C, Vilaplana V. Las Mancomunidades en España. Boletí de la Asociación de Geógrafos Españoles. 2005;:151–176.
Cabrera M, Giró-i-Nieto X, Rey F, Gasull A, Casas J, Villares J, et al.. LAVICAD: LAboratori VIrtual de Comunicacions Analògiques i Digitals. In Jornada d'Innovació Docent - RIMA (JID-RIMA). Barcelona, Catalonia: UPCommons; 2009.
Cabrera M, Giró-i-Nieto X, Rey F, Gasull A, Casas J, Villares J, et al.. LAVICAD: LAboratori VIrtual de Comunicacions Analògiques i Digitals. In Jornada d'Innovació Docent - RIMA (JID-RIMA). Barcelona, Catalonia: UPCommons; 2009.
Cabrera M, Giró-i-Nieto X, Rey F, Gasull A, Casas J, Villares J, et al.. LAVICAD: LAboratori VIrtual de Comunicacions Analògiques i Digitals. In Jornada d'Innovació Docent - RIMA (JID-RIMA). Barcelona, Catalonia: UPCommons; 2009.
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.
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)
Campos V. Layer-wise CNN Surgery for Visual Sentiment Prediction. Salvador A, Jou B, Giró-i-Nieto X. 2015.  (1.51 MB)
Pujol-Miró A. Learning to extract features for 2D-3D multimodal registration. Casas J, Ruiz-Hidalgo J. Universitat Politècnica de Catalunya (UPC); 2020.  (14.22 MB)
Campos V. Learning to Skip State Updates in Recurrent Neural Networks. Jou B, Chang S-F, Giró-i-Nieto X. 2017.  (961.49 KB)
Campos V. Learning to Skip State Updates in Recurrent Neural Networks. Jou B, Chang S-F, Giró-i-Nieto X. 2017.  (961.49 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)
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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.
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.
Petrone P, Vilaplana V, Casamitjana A, Sanchez-Escobedo D, Tucholka A, Cacciaglia R, et al.. 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.
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.
Petrone P, Vilaplana V, Casamitjana A, Sanchez-Escobedo D, Tucholka A, Cacciaglia R, et al.. 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.

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