Zobrazeno 1 - 10
of 40 999
pro vyhledávání: '"As, Netto"'
The Bayesian Mallows model is a flexible tool for analyzing data in the form of complete or partial rankings, and transitive or intransitive pairwise preferences. In many potential applications of preference learning, data arrive sequentially and it
Externí odkaz:
http://arxiv.org/abs/2412.13644
Azure Cloud offers a wide range of resources for running HPC workloads, requiring users to configure their deployment by selecting VM types, number of VMs, and processes per VM. Suboptimal decisions may lead to longer execution times or additional co
Externí odkaz:
http://arxiv.org/abs/2412.02047
Autor:
Netto, Marco A. S.
Cloud platforms are increasingly being used to run HPC workloads. Major cloud providers offer a wide variety of virtual machine (VM) types, enabling users to find the optimal balance between performance and cost. However, this extensive selection of
Externí odkaz:
http://arxiv.org/abs/2411.15448
Cities emerged independently across different world regions and historical periods, raising fundamental questions: How did the first urban settlements develop? What social and spatial conditions enabled their emergence? Are these processes universal
Externí odkaz:
http://arxiv.org/abs/2411.13771
Segregation is a widely recognised phenomenon with profound implications for societies worldwide. From political science and gender studies to anthropology and urban studies, it has garnered considerable attention across numerous scientific fields du
Externí odkaz:
http://arxiv.org/abs/2410.08374
Autor:
Barros, Pablo M., Sardinha, Roosevelt de L., Arboleda, Giovanny A. M., Valente, Lessandro de S. S., de Melo, Isabelle R. V., Aveleda, Albino, Bulcão, André, Netto, Sergio L., Evsukoff, Alexandre G.
The recent development of deep learning (DL) methods for computer vision has been driven by the creation of open benchmark datasets on which new algorithms can be tested and compared with reproducible results. Although DL methods have many applicatio
Externí odkaz:
http://arxiv.org/abs/2410.08231
Graph Neural Networks (GNNs) have gained popularity in various learning tasks, with successful applications in fields like molecular biology, transportation systems, and electrical grids. These fields naturally use graph data, benefiting from GNNs' m
Externí odkaz:
http://arxiv.org/abs/2409.13063
We devise a novel formulation and propose the concept of modal participation factors to nonlinear dynamical systems. The original definition of modal participation factors (or simply participation factors) provides a simple yet effective metric. It f
Externí odkaz:
http://arxiv.org/abs/2409.10105
Autor:
Martioli, E., Petrucci, R. P., Jofre, E., Hebrard, G., Ghezzi, L., Chew, Y. Gomez Maqueo, Diaz, R. F., Perottoni, H. D., Garcia, L. H., Rapetti, D., Etangs, A. Lecavelier des, de Almeida, L., Arnold, L., Artigau, E., Basant, R., Bean, J. L., Bieryla, A., Boisse, I., Bonfils, X., Brady, M., Cadieux, C., Carmona, A., Cook, N. J., Delfosse, X., Donati, J. -F., Doyon, R., Furlan, E., Howell, S. B., Jenkins, J. M., Kasper, D., Kiefer, F., Latham, D. W., Levine, A. M., Lorenzo-Oliveira, D., Luque, R., McLeod, K., Melendez, J., Moutou, C., Netto, Y., Pritchard, T. A., Rowden, P., Seifahrt, A., Stefansson, G., Sturmer, J., Twicken, D. J
Publikováno v:
A&A 690, A312 (2024)
The sub-Jovian desert is a region in the mass-period and radius-period parameter space, typically encompassing short-period ranges between super-Earths and hot Jupiters, that exhibits an intrinsic dearth of planets. This scarcity is likely shaped by
Externí odkaz:
http://arxiv.org/abs/2409.03704
Understanding how size influences the internal characteristics of a system is a crucial concern across various fields. Concepts like scale invariance, universalities, and fractals are fundamental to this inquiry and find application in biology, physi
Externí odkaz:
http://arxiv.org/abs/2404.02642