Zobrazeno 1 - 10
of 1 689
pro vyhledávání: '"P, Sicre"'
Autor:
Jorge Eduardo Abreu Ugarte
Publikováno v:
Revista Cubana de Medicina Militar, Vol 50, Iss 3, Pp e0210817-e0210817 (2021)
Cuban artists have dedicated works of various genres to honor Dr. Carlos J. Finlay Barrés and his meritorious investigative work on yellow fever, a disease that causes epidemics and deaths, in its time, in Cuba and other countries. The plastic arts
Externí odkaz:
https://doaj.org/article/7167c7cb037b449e8c81c19bc9c801bd
A novel approach for modeling Dark Count Rate (DCR) drift in Single-Photon Avalanche Diodes (SPADs) is proposed based on Hot-Carrier Degradation (HCD) inducing silicon-hydrogen bond dissociation at the Si/SiO2 interface. The energy and the quantity o
Externí odkaz:
http://arxiv.org/abs/2407.07105
In this paper we introduce a word embedding composition method based on the intuitive idea that a fair embedding representation for a given set of words should satisfy that the new vector will be at the same distance of the vector representation of e
Externí odkaz:
http://arxiv.org/abs/2406.10259
Autor:
Zhang, Hanwei, Cheng, Luo, He, Qisong, Huang, Wei, Li, Renjue, Sicre, Ronan, Huang, Xiaowei, Hermanns, Holger, Zhang, Lijun
Classification of 3D point clouds is a challenging machine learning (ML) task with important real-world applications in a spectrum from autonomous driving and robot-assisted surgery to earth observation from low orbit. As with other ML tasks, classif
Externí odkaz:
http://arxiv.org/abs/2405.14210
Autor:
Sicre, Ronan, Zhang, Hanwei, Dejasmin, Julien, Daaloul, Chiheb, Ayache, Stéphane, Artières, Thierry
This paper presents Discriminative Part Network (DP-Net), a deep architecture with strong interpretation capabilities, which exploits a pretrained Convolutional Neural Network (CNN) combined with a part-based recognition module. This system learns an
Externí odkaz:
http://arxiv.org/abs/2404.15037
This paper studies interpretability of convolutional networks by means of saliency maps. Most approaches based on Class Activation Maps (CAM) combine information from fully connected layers and gradient through variants of backpropagation. However, i
Externí odkaz:
http://arxiv.org/abs/2404.15024
Explanations obtained from transformer-based architectures in the form of raw attention, can be seen as a class-agnostic saliency map. Additionally, attention-based pooling serves as a form of masking the in feature space. Motivated by this observati
Externí odkaz:
http://arxiv.org/abs/2404.14996
CAM-based methods are widely-used post-hoc interpretability method that produce a saliency map to explain the decision of an image classification model. The saliency map highlights the important areas of the image relevant to the prediction. In this
Externí odkaz:
http://arxiv.org/abs/2404.01964
Autor:
Ianire Angulo Ordorika
Publikováno v:
Estudios Eclesiásticos, Vol 94, Iss 369, Pp 405-407 (2019)
Externí odkaz:
https://doaj.org/article/78325c952052416b92c01f85ab0d4f4b
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.