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Canton-Ferrer C, Canton-Ferrer C, Casas JR, Tekalp M, Pardàs M. Projective Kalman Filter: Multiocular Tracking of 3D Locations Towards Scene Understanding. In 2nd Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms. 2005.  (330.58 KB)
Canton-Ferrer C, Casas JR, Tekalp M, Pardàs M. Projective Kalman Filter: Multiocular Tracking of 3D Locations Towards Scene Understanding. In Machine Learning for Multimodal Interaction. Berlin / Heidelberg: Springer; 2006. pp. 250–261.
Canton-Ferrer C, Canton-Ferrer C, Casas JR, Tekalp M, Pardàs M. Projective Kalman Filter: Multiocular Tracking of 3D Locations Towards Scene Understanding. In 2nd Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms. 2005.  (330.58 KB)
Casamitjana A, Petrone P, Artigues M, Molinuevo JL, Gispert JD, Vilaplana V. Projection to Latent Spaces Disentangles Specific Cerebral Morphometric Patterns Associated to Aging and Preclinical AD. In Alzheimer's Association International Conference. Chicago, USA; 2018.
Casamitjana A, Petrone P, Artigues M, Molinuevo JL, Gispert JD, Vilaplana V. Projection to Latent Spaces Disentangles Specific Cerebral Morphometric Patterns Associated to Aging and Preclinical AD. Alzheimer's & Dementia: The Journal of the Alzheimer's Association . 2018;14(7):P869-P870.
Casamitjana A, Petrone P, Molinuevo JLuis, Gispert JD, Vilaplana V. Projection to Latent Spaces disentangles pathological effects on brain morphology in the asymptomatic phase of Alzheimer’s disease. Frontiers in Neurology, section Applied Neuroimaging. 2020;11.
Alonso-González A, Valero S, Chanussot J, López-Martínez C, Salembier P. Processing Multidimensional SAR and Hyperspectral Images With Binary Partition Tree. Proceedings of the IEEE. 2013;101(3):723 - 747.  (4.46 MB)
Bragos R, Alarcón E, Cabrera M, Calveras A, Comellas J, O'Callaghan J, et al.. Proceso de inversión de competencias genéricas en los nuevos planes de estudios de grado de la ETSETB de acuerdo con el modelo CDIO. In IX Congreso de Tecnologías Aplicadas a la Enseñanza de la Electrónica. 2010. pp. 1–9.
Bragos R, Alarcón E, Cabrera M, Calveras A, Comellas J, O'Callaghan J, et al.. Proceso de inversión de competencias genéricas en los nuevos planes de estudios de grado de la ETSETB de acuerdo con el modelo CDIO. In IX Congreso de Tecnologías Aplicadas a la Enseñanza de la Electrónica. 2010. pp. 1–9.
Bragos R, Alarcón E, Cabrera M, Calveras A, Comellas J, O'Callaghan J, et al.. Proceso de inversión de competencias genéricas en los nuevos planes de estudios de grado de la ETSETB de acuerdo con el modelo CDIO. In IX Congreso de Tecnologías Aplicadas a la Enseñanza de la Electrónica. 2010. pp. 1–9.
Solé A, Mosella-Montoro A, Cardona J, Aravena D, Gómez-Coca S, Ruiz E, et al.. PRISM: periodic representation with multiscale and similarity graph modelling for enhanced crystal structure property prediction. npj Computational Materials. 2026;.  (13.26 MB)
de-Mas-Giménez G, Subirana A, Bernal Pérez E, Riu J, Casas JR, García-Gómez P, et al.. Preview of a multimodal data set for robust and safe autonomous driving under adverse weather conditions. In IMEKO PhotoMet - International Symposium on Modern Photonic Metrology. Modena, Italy: 11 IMEKO PhotoMet; 2025.
Cànaves MArtigues. Prevention of Alzheimer's Disease: a contribution from MRI and machine learning. Petrone P, Vilaplana V. 2018.
Chávez Plasencia A, García-Gómez P, Bernal Pérez E, de-Mas-Giménez G, Casas JR, Royo S. A Preliminary Study of Deep Learning Sensor Fusion for Pedestrian Detection. Sensors. 2023;23(8).  (9.94 MB)
Chávez Plasencia A, García-Gómez P, Bernal Pérez E, de-Mas-Giménez G, Casas JR, Royo S. A Preliminary Study of Deep Learning Sensor Fusion for Pedestrian Detection. Sensors. 2023;23(8).  (9.94 MB)
Petrone P, Casamitjana A, Falcon C, Cànaves MArtigues, Operto G, Cacciaglia R, et al.. Prediction of amyloid pathology in cognitively unimpaired individuals using voxelwise analysis of longitudinal structural brain MRI. Alzheimer's Research & Therapy. 2019;11(1).
Cumplido-Mayoral I, Ingala S, Lorenzini L, Wink AMeije, Haller S, Molinuevo JLuis, et al.. Prediction of amyloid pathology in cognitively unimpaired individuals using structural MRI. In Alzheimer's Association International Conference. 2021.
Petrone P, Casamitjana A, Falcon C, Cànaves MArtigues, Operto G, Cacciaglia R, et al.. Prediction of amyloid pathology in cognitively unimpaired individuals using voxelwise analysis of longitudinal structural brain MRI. Alzheimer's Research & Therapy. 2019;11(1).
Cumplido-Mayoral I, Ingala S, Lorenzini L, Wink AMeije, Haller S, Molinuevo JLuis, et al.. Prediction of amyloid pathology in cognitively unimpaired individuals using structural MRI. In Alzheimer's Association International Conference. 2021.
Petrone P, Casamitjana A, Falcon C, Cànaves MArtigues, Operto G, Cacciaglia R, et al.. Prediction of amyloid pathology in cognitively unimpaired individuals using voxelwise analysis of longitudinal structural brain MRI. Alzheimer's Research & Therapy. 2019;11(1).
Torres L, Casas JR. Prediction error image coding using a modified stochastic vector quantization scheme. In IEEE International Conference on Image Processing. 1996. pp. 451–454.
Cardoner LL. Predicting Media Interestingness. Zaharieva M, Giró-i-Nieto X. 2017.  (1.78 MB)
Geleta M, Puntí C, McGuinness K, Pons J, Canton-Ferrer C, Giró-i-Nieto X. PixInWav: Residual Steganography for Hiding Pixels in Audio. In ICASSP. 2022.  (5.77 MB)
Puntí C. PixInPix: Hidding Pixels in Pixels. McGuinness K, Canton-Ferrer C, Giró-i-Nieto X. 2020.  (2.13 MB)
Creus R, Nieto JJosé, Giró-i-Nieto X. PixelEDL: Unsupervised Skill Discovery and Learning from Pixels. In CVPR 2021 Embodied AI Workshop. 2021.  (1.55 MB)

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