Zobrazeno 1 - 10
of 33 221
pro vyhledávání: '"Vasconcelos, P"'
Autor:
Ju, Xinwei, Daher, Rema, Caramalau, Razvan, Huang, Baoru, Stoyanov, Danail, Vasconcelos, Francisco
Colorectal cancer (CRC) remains a leading cause of cancer-related deaths worldwide, with polyp removal being an effective early screening method. However, navigating the colon for thorough polyp detection poses significant challenges. To advance came
Externí odkaz:
http://arxiv.org/abs/2412.16078
In this work, we present sufficient cancellation conditions for the boundedness of inhomogeneous Calder\'on-Zygmund type operators on local Hardy spaces defined over spaces of homogeneous type in the sense of Coifman & Weiss for $ 0
Externí odkaz:
http://arxiv.org/abs/2412.14994
Text-to-image (T2I) models have gained widespread adoption among content creators and the general public. However, this has sparked significant concerns regarding data privacy and copyright infringement among artists. Consequently, there is an increa
Externí odkaz:
http://arxiv.org/abs/2412.14432
Autor:
Souza, Maria Rita Vasconcelos Brandão, de Freitas, Luís Henrique, Silva, Glaucia de Souza, de Carvalho, Felipe Xavier, Souza, Leonardo Antônio M.
Publikováno v:
JMFis 7-2, 11 (2024)
This work explores the use of Role Playing Games (RPG) as an active methodology in teaching Modern Physics, focusing on a game called Newton's Revenge. The game was developed with the aim of engaging students in collaborative and investigative learni
Externí odkaz:
http://arxiv.org/abs/2411.17642
Autor:
Desai, Alakh, Vasconcelos, Nuno
For image generation with diffusion models (DMs), a negative prompt n can be used to complement the text prompt p, helping define properties not desired in the synthesized image. While this improves prompt adherence and image quality, finding good ne
Externí odkaz:
http://arxiv.org/abs/2411.05473
Machine unlearning--enabling a trained model to forget specific data--is crucial for addressing biased data and adhering to privacy regulations like the General Data Protection Regulation (GDPR)'s "right to be forgotten". Recent works have paid littl
Externí odkaz:
http://arxiv.org/abs/2411.02622
Autor:
Cambrainha, Gustavo G., Castro, Daniel M., de Vasconcelos, Nivaldo A. P., Carelli, Pedro, Copelli, Mauro
The critical brain hypothesis posits that neural systems operate near a phase transition, optimising the transmission, storage, and processing of information. While scale invariance and non-Gaussian dynamics - hallmarks of criticality - have been obs
Externí odkaz:
http://arxiv.org/abs/2410.23508
Recent advances in generative modeling with diffusion processes (DPs) enabled breakthroughs in image synthesis. Despite impressive image quality, these models have various prompt compliance problems, including low recall in generating multiple object
Externí odkaz:
http://arxiv.org/abs/2410.21638
We present the first computationally-efficient algorithm for average-case learning of shallow quantum circuits with many-qubit gates. Specifically, we provide a quasi-polynomial time and sample complexity algorithm for learning unknown QAC$^0$ circui
Externí odkaz:
http://arxiv.org/abs/2410.16693
Autor:
Ribeiro, Danilo Monteiro, Melo, Felipe Vasconcelos, Negromonte, Vitor, Matias, Gabriel Walisson, Farias, Adna, Azul, Celeste, Chaves, Ana Paula, Gama, Kiev
Autism Spectrum Disorder (ASD) is a neurodivergent condition with a wide range of characteristics and support levels. Individuals with ASD can exhibit various combinations of traits such as difficulties in social interaction, communication, and langu
Externí odkaz:
http://arxiv.org/abs/2410.14033