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2022
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)
Pinazo J, Lerín A, de Gibert FXavier, Moliner Á, Sevilla D, Jurado A, et al.. Perception in the era of Autonomous Vehicles. In Photonics 4 Smart Cities, SCEWC 2022. Barcelona: Photonics21; 2022.  (2.34 MB)
Pinazo J, Lerín A, de Gibert FXavier, Moliner Á, Sevilla D, Jurado A, et al.. Perception in the era of Autonomous Vehicles. In Photonics 4 Smart Cities, SCEWC 2022. Barcelona: Photonics21; 2022.  (2.34 MB)
Bellver-Bueno M, Ventura C, Silberer C, Kazakos I, Torres J, Giró-i-Nieto X. RefVOS: A Closer Look at Referring Expressions for Video Object Segmentation. Multimedia Tools and Applications. 2022;.  (5.78 MB)
Salgueiro L, Marcello J, Vilaplana V. SEG-ESRGAN: A multi-task network for super-resolution and semantic segmentation of remote sensing images. Remote Sensing. 2022;14(22).
Salgueiro L. Super-resolution and semantic segmentation of remote sensing images using deep learning techniques. Vilaplana V, Marcello J. Signal Theory and Communications Department. 2022.
2021
Cumplido-Mayoral I, Shekari M, Salvadó G, Operto G, Cacciaglia R, Falcon C, et al.. Brain structural alterations in cognitively unimpaired individuals with discordant amyloid-β PET and CSF Aβ42 status: findings using Machine Learning. In Alzheimer's Association International Conference. 2021.
Cumplido-Mayoral I, Shekari M, Salvadó G, Operto G, Cacciaglia R, Falcon C, et al.. Brain structural alterations in cognitively unimpaired individuals with discordant amyloid-β PET and CSF Aβ42 status: findings using Machine Learning. In Alzheimer's Association International Conference. 2021.
Cumplido-Mayoral I, Shekari M, Salvadó G, Operto G, Cacciaglia R, Falcon C, et al.. Brain structural alterations in cognitively unimpaired individuals with discordant amyloid-β PET and CSF Aβ42 status: findings using Machine Learning. In Alzheimer's Association International Conference. 2021.
Bonet D, Ortega A, Ruiz-Hidalgo J, Shekkizhar S. Channel-Wise Early Stopping without a Validation Set via NNK Polytope Interpolation. In Asia Pacific Signal and Information Processing Association Annual Summit, APSIPA. Tokyo, Japan; 2021.  (995.84 KB)
Caselles P. Disentangling neural network structure from the weights space. Schürholt K, Borth D, Giró-i-Nieto X. 2021.  (17.1 MB)
Abadal S, Salgueiro L, Marcello J, Vilaplana V. A Dual Network for Super-Resolution and Semantic Segmentation of Sentinel-2 imagery. Remote Sensing. 2021;13(22):4547.
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)
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.
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.
Puig-Sitjes A, Jakubowski M, Gao Y, Drewelow P, Niemann H, Fellinger J, et al.. Real-time detection of overloads on the PFCs of W7-X. In European Conference on Plasma Diagnostics (ECPD 2021). online: CLPU; 2021.  (132.62 KB)
Puig-Sitjes A, Jakubowski M, Naujoks D, Gao Y, Drewelow P, Niemann H, et al.. Real-time detection of overloads on the plasma-facing components of Wendelstein 7-X. Applied sciences (Basel). 2021;11(24).  (6.09 MB)
Salgueiro L, Marcello J, Vilaplana V. Single-image super-resolution of Sentinel-2 low resolution bands with residual dense convolutional neural networks. Remote Sensing. 2021;13(24):5007.
Puig-Sitjes A, Casas JR, Salembier P, Vizcarro D, Clemente R, Jakubowski M, et al.. Spatio-temporal Detection and Tracking of Thermal Events on the Plasma Facing Components of Wendelstein 7-X. In 4th IAEA Technical Meeting on Fusion Data Processing, Validation and Analysis. Shanghai (online): iaea.org; 2021.  (160.47 KB)
Kazakos I, Bellver-Bueno M, Ventura C, Silberer C, Giró-i-Nieto X. SynthRef: Generation of Synthetic Referring Expressions for Object Segmentation. In NAACL Visually Grounded Interaction and Language (ViGIL) Workshop. Virtual; 2021.  (794.97 KB)
2020
Fernàndez D, Rimmek JMarco, Espadaler J, Garolera B, Barja A, Codina M, et al.. Enhancing Online Knowledge Graph Population with Semantic Knowledge. In 19th International Semantic Web Conference (ISWC). Virtual; 2020.
Campos V, Trott A, Xiong C, Socher R, Giró-i-Nieto X, Torres J. Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills. In International Conference on Machine Learning (ICML) 2020. 2020.  (6.89 MB)
Gené-Mola J, Sanz R, Rosell-Polo JR, Morros JR, Ruiz-Hidalgo J, Vilaplana V, et al.. Fruit detection and 3D location using instance segmentation neural networks and structure-from-motion photogrammetry. Computers and Electronics in Agriculture. 2020;169.
Gené-Mola J, Sanz R, Rosell-Polo JR, Morros JR, Ruiz-Hidalgo J, Vilaplana V, et al.. Fuji-SfM dataset: A collection of annotated images and point clouds for Fuji apple detection and location using structure-from-motion photogrammetry. 2020;Data in Brief(Vol. 30).

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