Zobrazeno 1 - 10
of 6 216
pro vyhledávání: '"Britto, P."'
This paper exploits the zero-shot capabilities of pre-trained large language models (LLMs) for music genre classification. The proposed approach splits audio signals into 20 ms chunks and processes them through convolutional feature encoders, a trans
Externí odkaz:
http://arxiv.org/abs/2410.08321
This paper presents our findings on the automatic summarization of Java methods within Ericsson, a global telecommunications company. We evaluate the performance of an approach called Automatic Semantic Augmentation of Prompts (ASAP), which uses a La
Externí odkaz:
http://arxiv.org/abs/2408.09735
Autor:
Barnard, J., van Soelen, B., Acharya, S., Böttcher, M., Britto, R. J., Cooper, J., Buckley, D. A. H., Martin-Carrillo, A., Vaidya, B., van der Westhuizen, I. P., Zacharias, M.
At optical/ultraviolet energies, blazars display an underlying thermal (unpolarized) contribution from the accretion disc, torus and line emitting regions, diluting the polarized emission from the jet-component. Optical polarimetry can be used to dis
Externí odkaz:
http://arxiv.org/abs/2406.17412
Autor:
Britto, André L. M., Abreu, Luciano M.
Motivated by recent theoretical predictions about the existence of a $ B \bar{B}$ bound state (also denoted as $ X(10550) $), in this work we estimate the production of the $S$-wave $ B^+ B^-$ molecule via $\Upsilon (4S)$ radiative decays. In particu
Externí odkaz:
http://arxiv.org/abs/2406.03289
Autor:
Laurensi, Israel A., Britto Jr., Alceu de Souza, Barddal, Jean Paul, Koerich, Alessandro Lameiras
Facial expression recognition is a pivotal component in machine learning, facilitating various applications. However, convolutional neural networks (CNNs) are often plagued by catastrophic forgetting, impeding their adaptability. The proposed method,
Externí odkaz:
http://arxiv.org/abs/2404.12260
Autor:
Menon, Luciana Trinkaus, Neduziak, Luiz Carlos Ribeiro, Barddal, Jean Paul, Koerich, Alessandro Lameiras, Britto Jr, Alceu de Souza
The study of human emotions, traditionally a cornerstone in fields like psychology and neuroscience, has been profoundly impacted by the advent of artificial intelligence (AI). Multiple channels, such as speech (voice) and facial expressions (image),
Externí odkaz:
http://arxiv.org/abs/2404.12251
Autor:
Garcia, Cristiano Mesquita, Koerich, Alessandro Lameiras, Britto Jr, Alceu de Souza, Barddal, Jean Paul
The proliferation of textual data on the Internet presents a unique opportunity for institutions and companies to monitor public opinion about their services and products. Given the rapid generation of such data, the text stream mining setting, which
Externí odkaz:
http://arxiv.org/abs/2403.15455
Autor:
Garcia, Cristiano Mesquita, Koerich, Alessandro Lameiras, Britto Jr, Alceu de Souza, Barddal, Jean Paul
Systems and individuals produce data continuously. On the Internet, people share their knowledge, sentiments, and opinions, provide reviews about services and products, and so on. Automatically learning from these textual data can provide insights to
Externí odkaz:
http://arxiv.org/abs/2403.12328
Publikováno v:
ACM Trans. Softw. Eng. Methodol. 32(4): 107:1-107:61 (2023)
Background: Modern Code Review (MCR) is a lightweight alternative to traditional code inspections. While secondary studies on MCR exist, it is unknown whether the research community has targeted themes that practitioners consider important. Objective
Externí odkaz:
http://arxiv.org/abs/2403.00088
We review different notions of cuts appearing throughout the literature on scattering amplitudes. Despite similar names, such as unitarity cuts or generalized cuts, they often represent distinct computations and distinct physics. We consolidate this
Externí odkaz:
http://arxiv.org/abs/2402.19415