Zobrazeno 1 - 10
of 4 698
pro vyhledávání: '"Lavado A"'
Autor:
Lavado, Diogo, Soares, Cláudia, Micheletti, Alessandra, Santos, Ricardo, Coelho, André, Santos, João
Research on supervised learning algorithms in 3D scene understanding has risen in prominence and witness great increases in performance across several datasets. The leading force of this research is the problem of autonomous driving followed by indoo
Externí odkaz:
http://arxiv.org/abs/2405.13989
Publikováno v:
In World Conference on Explainable Artificial Intelligence (pp. 181-197). Cham: Springer Nature Switzerland (2023)
An algorithm effects a causal representation of relations between features and labels in the human's perception. Such a representation might conflict with the human's prior belief. Explanations can direct the human's attention to the conflicting feat
Externí odkaz:
http://arxiv.org/abs/2402.08379
Modeling and simulation of complex systems is key to explore systems dynamics. Many scientific approaches were developed to represent dynamic structure systems but most of these approaches are efficient for some kinds of systems and inefficient for o
Externí odkaz:
http://arxiv.org/abs/2404.03661
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
Multiferroic compounds have gained research attention in the field of ferroelectric photovoltaics due to the presence of transition-metal d states from magnetic ions, which tend to reduce the bandgap value. In this work, 0.5Pb(Zr0.52Ti0.48)O3 - 0.5Pb
Externí odkaz:
http://arxiv.org/abs/2311.05855
Regularizing Deep Neural Networks (DNNs) is essential for improving generalizability and preventing overfitting. Fixed penalty methods, though common, lack adaptability and suffer from hyperparameter sensitivity. In this paper, we propose a novel app
Externí odkaz:
http://arxiv.org/abs/2310.16647
Autor:
Zhaowei Ding, Hector Angarita, Christian Albert Montesinos Cáceres, Waldo Lavado-Casimiro, Jesse A. Goldstein, Natasha Batista, Tong Wu, Dave Fisher, Andrea Baudoin Farah, Hua Zheng, Rafael J. P. Schmitt
Publikováno v:
Communications Earth & Environment, Vol 5, Iss 1, Pp 1-11 (2024)
Abstract Water plays a critical role in adapting food and energy systems to climate change in the Andes. However, robust climate solutions that work across sectors have not been explored for these working landscapes. Here we develop a framework consi
Externí odkaz:
https://doaj.org/article/abcd1e0f0747490ca333db57fc33b348
Publikováno v:
Journal of Research in Interactive Marketing, 2023, Vol. 18, Issue 4, pp. 648-665.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JRIM-05-2023-0140
Autor:
Lavado, Diogo, Soares, Cláudia, Micheletti, Alessandra, Bocchi, Giovanni, Coronati, Alex, Silva, Manuel, Frosini, Patrizio
Research in 3D semantic segmentation has been increasing performance metrics, like the IoU, by scaling model complexity and computational resources, leaving behind researchers and practitioners that (1) cannot access the necessary resources and (2) d
Externí odkaz:
http://arxiv.org/abs/2306.07809
Publikováno v:
Tecnología y ciencias del agua, Vol 15, Iss 5, Pp 1-64 (2024)
La frecuencia y magnitud de los eventos climáticos extremos de precipitación han aumentado de forma significativa en varios países del mundo, incluido Perú. Estos hechos causan pérdidas económicas y humanas, especialmente en países en vías de
Externí odkaz:
https://doaj.org/article/c50fbfac63304e419ed006d6d657eb12