Zobrazeno 1 - 10
of 514
pro vyhledávání: '"Lanzarini P"'
Clustering algorithms or methods for GPS trajectories are in constant evolution due to the interest aroused in part of the scientific community. With the development of clustering algorithms considered traditional, improvements to these algorithms an
Externí odkaz:
http://arxiv.org/abs/2404.17761
Autor:
Rucci, Enzo, Tittarelli, Gonzalo, Ronchetti, Franco, Elgart, Jorge F., Lanzarini, Laura, Gagliardino, Juan José
Detecting Type 2 Diabetes (T2D) and Prediabetes (PD) is a real challenge for medicine due to the absence of pathogenic symptoms and the lack of known associated risk factors. Even though some proposals for machine learning models enable the identific
Externí odkaz:
http://arxiv.org/abs/2403.18631
Autor:
Ronchetti, Franco, Quiroga, Facundo Manuel, Estrebou, César, Lanzarini, Laura, Rosete, Alejandro
Automatic sign language recognition (SLR) is an important topic within the areas of human-computer interaction and machine learning. On the one hand, it poses a complex challenge that requires the intervention of various knowledge areas, such as vide
Externí odkaz:
http://arxiv.org/abs/2310.17437
Autor:
Ronchetti, Franco, Quiroga, Facundo Manuel, Estrebou, César, Lanzarini, Laura, Rosete, Alejandro
Automatic sign language recognition is a research area that encompasses human-computer interaction, computer vision and machine learning. Robust automatic recognition of sign language could assist in the translation process and the integration of hea
Externí odkaz:
http://arxiv.org/abs/2310.17429
Publikováno v:
Journal of Computer Science and Technology, 2016
Automatic sign language recognition is an important topic within the areas of human-computer interaction and machine learning. On the one hand, it poses a complex challenge that requires the intervention of various knowledge areas, such as video proc
Externí odkaz:
http://arxiv.org/abs/2310.17427
Human action recognition from skeletal data is an important and active area of research in which the state of the art has not yet achieved near-perfect accuracy on many well-known datasets. In this paper, we introduce the Distribution of Action Movem
Externí odkaz:
http://arxiv.org/abs/2310.17421
Autor:
Quiroga, Facundo Manuel, Torrents-Barrena, Jordina, Lanzarini, Laura Cristina, Puig-Valls, Domenec
Publikováno v:
Applied Soft Computing, 2023
Invariances in neural networks are useful and necessary for many tasks. However, the representation of the invariance of most neural network models has not been characterized. We propose measures to quantify the invariance of neural networks in terms
Externí odkaz:
http://arxiv.org/abs/2310.17404
Convolutional Neural Networks (CNN) offer state of the art performance in various computer vision tasks. Many of those tasks require different subtypes of affine invariances (scale, rotational, translational) to image transformations. Convolutional l
Externí odkaz:
http://arxiv.org/abs/2310.08429
Autor:
van Rijn, Pol, Sun, Yue, Lee, Harin, Marjieh, Raja, Sucholutsky, Ilia, Lanzarini, Francesca, André, Elisabeth, Jacoby, Nori
Conducting experiments with diverse participants in their native languages can uncover insights into culture, cognition, and language that may not be revealed otherwise. However, conducting these experiments online makes it difficult to validate self
Externí odkaz:
http://arxiv.org/abs/2302.01614
Publikováno v:
Microbiology Spectrum, Vol 12, Iss 6 (2024)
ABSTRACT The growth of pathogenic bacteria in moist and wet surfaces and tubing of medically relevant devices results in serious infections in immunocompromised patients. In this study, we investigated and demonstrated the successful implementation o
Externí odkaz:
https://doaj.org/article/830e99fe7a11404c8e8ddb80742ab48a
