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pro vyhledávání: '"I, Nieto"'
Training deep learning models and performing hyperparameter tuning can be computationally demanding and time-consuming. Meanwhile, traditional machine learning methods like gradient-boosting algorithms remain the preferred choice for most tabular dat
Externí odkaz:
http://arxiv.org/abs/2402.14335
Autor:
Barrabes, Miriam, Montserrat, Daniel Mas, Geleta, Margarita, Giro-i-Nieto, Xavier, Ioannidis, Alexander G.
Data shift is a phenomenon present in many real-world applications, and while there are multiple methods attempting to detect shifts, the task of localizing and correcting the features originating such shifts has not been studied in depth. Feature sh
Externí odkaz:
http://arxiv.org/abs/2312.04546
Autor:
Lucía Granda, Oriol Nebot i Nieto
Publikováno v:
Migraciones, Iss 61, Pp 1-24 (2024)
Esta investigación estudia los perfiles de trabajadores transfronterizos marroquíes que acudían diariamente a Melilla en el periodo 2014-2023, y el impacto del cierre de 2020 y las nuevas condiciones de reapertura de 2022, a partir de los datos de
Externí odkaz:
https://doaj.org/article/3c1bd75bf57948378749198874b80f18
The advances in automatic sign language translation (SLT) to spoken languages have been mostly benchmarked with datasets of limited size and restricted domains. Our work advances the state of the art by providing the first baseline results on How2Sig
Externí odkaz:
http://arxiv.org/abs/2304.06371
The field of steganography has experienced a surge of interest due to the recent advancements in AI-powered techniques, particularly in the context of multimodal setups that enable the concealment of signals within signals of a different nature. The
Externí odkaz:
http://arxiv.org/abs/2303.05007
This paper describes the system developed at the Universitat Polit\`ecnica de Catalunya for the Workshop on Machine Translation 2022 Sign Language Translation Task, in particular, for the sign-to-text direction. We use a Transformer model implemented
Externí odkaz:
http://arxiv.org/abs/2212.01140
Autor:
Delfi I. Nieto-Isabel
Publikováno v:
I Quaderni del MAES, Vol 22, Iss 1s, Pp 207-237 (2024)
This essay analyses the practice of material support among the actors of the dissident network known as the beguins of Languedoc, which was persecuted and nearly dismantled in the first half of the 14th century. The reasons why inquisitorial machiner
Externí odkaz:
https://doaj.org/article/e459168fb36044eead89273cc2edc132
In the last years, neural networks (NN) have evolved from laboratory environments to the state-of-the-art for many real-world problems. It was shown that NN models (i.e., their weights and biases) evolve on unique trajectories in weight space during
Externí odkaz:
http://arxiv.org/abs/2209.14764
Learning representations of neural network weights given a model zoo is an emerging and challenging area with many potential applications from model inspection, to neural architecture search or knowledge distillation. Recently, an autoencoder trained
Externí odkaz:
http://arxiv.org/abs/2209.14733
Autor:
Caselles, Pol, Ramon, Eduard, Garcia, Jaime, Giro-i-Nieto, Xavier, Moreno-Noguer, Francesc, Triginer, Gil
Recovering the geometry of a human head from a single image, while factorizing the materials and illumination is a severely ill-posed problem that requires prior information to be solved. Methods based on 3D Morphable Models (3DMM), and their combina
Externí odkaz:
http://arxiv.org/abs/2209.03027