Zobrazeno 1 - 10
of 107
pro vyhledávání: '"Veloso, Bruno"'
Autor:
Méndez, Silvia García, Leal, Fátima, Malheiro, Benedita, Rial, Juan Carlos Burguillo, Veloso, Bruno, Chis, Adriana E., Vélez, Horacio González
Publikováno v:
Simulation Modelling Practice and Theory, 120, 102616 (2022)
Data crowdsourcing is a data acquisition process where groups of voluntary contributors feed platforms with highly relevant data ranging from news, comments, and media to knowledge and classifications. It typically processes user-generated data strea
Externí odkaz:
http://arxiv.org/abs/2405.18845
Predictive Maintenance applications are increasingly complex, with interactions between many components. Black box models are popular approaches based on deep learning techniques due to their predictive accuracy. This paper proposes a neural-symbolic
Externí odkaz:
http://arxiv.org/abs/2404.14455
Illegal landfills are a critical issue due to their environmental, economic, and public health impacts. This study leverages aerial imagery for environmental crime monitoring. While advances in artificial intelligence and computer vision hold promise
Externí odkaz:
http://arxiv.org/abs/2404.01790
Autor:
Alcoforado, Alexandre, Ferraz, Thomas Palmeira, Okamura, Lucas Hideki, Fama, Israel Campos, Lavado, Arnold Moya, Bueno, Bárbara Dias, Veloso, Bruno, Costa, Anna Helena Reali
A major challenge in Natural Language Processing is obtaining annotated data for supervised learning. An option is the use of crowdsourcing platforms for data annotation. However, crowdsourcing introduces issues related to the annotator's experience,
Externí odkaz:
http://arxiv.org/abs/2401.13229
Autor:
Pashami, Sepideh, Nowaczyk, Slawomir, Fan, Yuantao, Jakubowski, Jakub, Paiva, Nuno, Davari, Narjes, Bobek, Szymon, Jamshidi, Samaneh, Sarmadi, Hamid, Alabdallah, Abdallah, Ribeiro, Rita P., Veloso, Bruno, Sayed-Mouchaweh, Moamar, Rajaoarisoa, Lala, Nalepa, Grzegorz J., Gama, João
Explainable Artificial Intelligence (XAI) fills the role of a critical interface fostering interactions between sophisticated intelligent systems and diverse individuals, including data scientists, domain experts, end-users, and more. It aids in deci
Externí odkaz:
http://arxiv.org/abs/2306.05120
Autor:
Liguori, Angelica, Caroprese, Luciano, Minici, Marco, Veloso, Bruno, Spinnato, Francesco, Nanni, Mirco, Manco, Giuseppe, Gama, Joao
In real-world scenario, many phenomena produce a collection of events that occur in continuous time. Point Processes provide a natural mathematical framework for modeling these sequences of events. In this survey, we investigate probabilistic models
Externí odkaz:
http://arxiv.org/abs/2303.06067
Autor:
Braga Rodrigo O., Veloso Bruno S.
Publikováno v:
Special Matrices, Vol 12, Iss 1, Pp 141-145 (2024)
In this article, we study the Laplacian index of tadpole graphs, which are unicyclic graphs formed by adding an edge between a cycle Ck{C}_{k} and a path Pn{P}_{n}. Using two different approaches, we show that their Laplacian index converges to Δ2Δ
Externí odkaz:
https://doaj.org/article/135932675b1d405290a528046f4f4425
The paper describes the MetroPT data set, an outcome of a eXplainable Predictive Maintenance (XPM) project with an urban metro public transportation service in Porto, Portugal. The data was collected in 2022 that aimed to evaluate machine learning me
Externí odkaz:
http://arxiv.org/abs/2207.05466
Autor:
Hu, Chang-Kang, Yuan, Jiahao, Veloso, Bruno A., Qiu, Jiawei, Zhou, Yuxuan, Zhang, Libo, Chu, Ji, Nurbolat, Orkesh, Hu, Ling, Li, Jian, Xu, Yuan, Zhong, Youpeng, Liu, Song, Yan, Fei, Tan, Dian, Bachelard, R., Santos, Alan C., Villas-Boas, C. J., Yu, Dapeng
Publikováno v:
Phys. Rev. Applied 20, 034072 (2023)
Controlling the flow of quantum information is a fundamental task for quantum computers, which is unfeasible to realize on classical devices. Coherent devices which can process quantum states are thus required to route the quantum states that encode
Externí odkaz:
http://arxiv.org/abs/2203.09791
Autor:
Alcoforado, Alexandre, Ferraz, Thomas Palmeira, Gerber, Rodrigo, Bustos, Enzo, Oliveira, André Seidel, Veloso, Bruno Miguel, Siqueira, Fabio Levy, Costa, Anna Helena Reali
Publikováno v:
In: Pinheiro V. et al. (eds) Computational Processing of the Portuguese Language. PROPOR 2022. Lecture Notes in Computer Science, vol 13208. Springer, Cham
Traditional text classification approaches often require a good amount of labeled data, which is difficult to obtain, especially in restricted domains or less widespread languages. This lack of labeled data has led to the rise of low-resource methods
Externí odkaz:
http://arxiv.org/abs/2201.01337