Zobrazeno 1 - 10
of 60 286
pro vyhledávání: '"Resende A"'
Autor:
Resende, Lucas
Most of the modern literature on robust mean estimation focuses on designing estimators which obtain optimal sub-Gaussian concentration bounds under minimal moment assumptions and sometimes also assuming contamination. This work looks at robustness i
Externí odkaz:
http://arxiv.org/abs/2410.22085
Autor:
Fleschler, Ian, Resende, Reinaldo
In this paper, we consider an area-minimizing integral $m$-current $T$, within a submanifold $\Sigma \in C^{3,\kappa}$ of $\mathbb{R}^{m+n}$, with arbitrary boundary multiplicity $\partial T = Q[\![\Gamma]\!]$, where $\Gamma\subset\Sigma$ of class $C
Externí odkaz:
http://arxiv.org/abs/2410.04566
Autor:
Borlido, Isabela, Bouhid, Eduardo, Sundermann, Victor, Resende, Hugo, Fazenda, Alvaro Luiz, Faria, Fabio, Guimarães, Silvio Jamil F.
The conservation of tropical forests is a topic of significant social and ecological relevance due to their crucial role in the global ecosystem. Unfortunately, deforestation and degradation impact millions of hectares annually, requiring government
Externí odkaz:
http://arxiv.org/abs/2409.04330
Autor:
Adisa, Olumide, Blay, Enio Alterman, Asgari, Yasaman, Di Bona, Gabriele, Dies, Samantha, Jaramillo, Ana Maria, Resende, Paulo H., Leitao, Ana Maria de Sousa
Complexity science, despite its broad scope and potential impact, has not kept pace with fields like artificial intelligence, biotechnology and social sciences in addressing ethical concerns. The field lacks a comprehensive ethical framework, leaving
Externí odkaz:
http://arxiv.org/abs/2409.02002
Autor:
Resende, Hugo, Neto, Eduardo B., Cappabianco, Fabio A. M., Fazenda, Alvaro L., Faria, Fabio A.
Conserving tropical forests is highly relevant socially and ecologically because of their critical role in the global ecosystem. However, the ongoing deforestation and degradation affect millions of hectares each year, necessitating government or pri
Externí odkaz:
http://arxiv.org/abs/2408.12381
Autor:
Zhang, Yuxuan, Sazzad, T. M., Song, Yangyang, Chang, Spencer J., Chowdhry, Ritesh, Mejia, Tomas, Hampton, Anna, Kucharski, Shelby, Gerber, Stefan, Tillman, Barry, Resende, Marcio F. R., Hammond, William M., Wilson, Chris H., Zare, Alina, Koppal, Sanjeev J.
Hyper-spectral imaging has recently gained increasing attention for use in different applications, including agricultural investigation, ground tracking, remote sensing and many other. However, the high cost, large physical size and complicated opera
Externí odkaz:
http://arxiv.org/abs/2406.19560
To address the peculiarities of directed and/or signed graphs, new Laplacian operators have emerged. For instance, in the case of directionality, we encounter the magnetic operator, dilation (which is underexplored), operators based on random walks,
Externí odkaz:
http://arxiv.org/abs/2406.01517
This paper proposes a problem-independent GRASP metaheuristic using the random-key optimizer (RKO) paradigm. GRASP (greedy randomized adaptive search procedure) is a metaheuristic for combinatorial optimization that repeatedly applies a semi-greedy c
Externí odkaz:
http://arxiv.org/abs/2405.18681
This paper presents a systematic literature review and bibliometric analysis focusing on Biased Random-Key Genetic Algorithms (BRKGA). BRKGA is a metaheuristic framework that uses random-key-based chromosomes with biased, uniform, and elitist mating
Externí odkaz:
http://arxiv.org/abs/2405.01765
The paper explores the Biased Random-Key Genetic Algorithm (BRKGA) in the domain of logistics and vehicle routing. Specifically, the application of the algorithm is contextualized within the framework of the Vehicle Routing Problem with Occasional Dr
Externí odkaz:
http://arxiv.org/abs/2405.00268