Zobrazeno 1 - 10
of 332
pro vyhledávání: '"FONSECA, A. H."'
Autor:
Ribeiro, André L. B., Lopes, Paulo A. A., Morell, Dailer F., Dantas, Christine C., Fonseca, Monyke H. S., Amarante, Beatriz G., Morais-Neto, Flávio R.
We study a sample of 936 early-type galaxies located in 48 low-z regular galaxy clusters with $M_{200}\geq 10^{14}~ M_\odot$ at $z< 0.1$. We examine variations in the Kormendy relation (KR) according to their location in the projected phase space (PP
Externí odkaz:
http://arxiv.org/abs/2402.10278
Autor:
Van Bulck, David, Goossens, Dries, Clarner, Jan-Patrick, Dimitsas, Angelos, Fonseca, George H. G., Lamas-Fernandez, Carlos, Lester, Martin Mariusz, Pedersen, Jaap, Phillips, Antony E., Rosati, Roberto Maria
Publikováno v:
European Journal of Operational Research, 2024, 318, 575-591
Any sports competition needs a timetable, specifying when and where teams meet each other. The recent International Timetabling Competition (ITC2021) on sports timetabling showed that, although it is possible to develop general algorithms, the perfor
Externí odkaz:
http://arxiv.org/abs/2309.03229
Autor:
Ribeiro, A. L. B., Nascimento, R. S., Morell, D. F., Lopes, P. A. A., Dantas, C. C., Fonseca, M. H. S.
We study a sample of 936 early-type galaxies (ETGs) located in 48 low-z regular galaxy clusters with $M_{200}\geq 10^{14}~ M_\odot$ at $z< 0.1$. We examine variations in the concentration index, radius, and color gradient of ETGs as a function of the
Externí odkaz:
http://arxiv.org/abs/2302.04287
Modeling spatiotemporal dynamical systems is a fundamental challenge in machine learning. Transformer models have been very successful in NLP and computer vision where they provide interpretable representations of data. However, a limitation of trans
Externí odkaz:
http://arxiv.org/abs/2301.13338
Autor:
Rizvi, Syed Asad, Pallikkavaliyaveetil, Nazreen, Zhang, David, Lyu, Zhuoyang, Nguyen, Nhi, Lyu, Haoran, Christensen, Benjamin, Caro, Josue Ortega, Fonseca, Antonio H. O., Zappala, Emanuele, Bagherian, Maryam, Averill, Christopher, Abdallah, Chadi G., Karbasi, Amin, Ying, Rex, Brbic, Maria, Dhodapkar, Rahul Madhav, van Dijk, David
Foundation models have achieved remarkable success across many domains, relying on pretraining over vast amounts of data. Graph-structured data often lacks the same scale as unstructured data, making the development of graph foundation models challen
Externí odkaz:
http://arxiv.org/abs/2210.09475
Autor:
Fonseca, Pedro H. M.1 (AUTHOR) phmorais.bio@gmail.com, Martinelli, Agustín G.2,3 (AUTHOR) agustin_martinelli@yahoo.com.ar, Gill, Pamela G.4,5 (AUTHOR) glpgg@bristol.ac.uk, Rayfield, Emily J.4 (AUTHOR) e.rayfield@bristol.ac.uk, Schultz, Cesar L.1 (AUTHOR), Kerber, Leonardo6 (AUTHOR), Ribeiro, Ana Maria1,7 (AUTHOR), Francischini, Heitor1 (AUTHOR), Soares, Marina B.8 (AUTHOR) marina.soares@mn.ufrj.br
Publikováno v:
Scientific Reports. 6/15/2024, Vol. 14 Issue 1, p1-27. 27p.
Word translation is an integral part of language translation. In machine translation, each language is considered a domain with its own word embedding. The alignment between word embeddings allows linking semantically equivalent words in multilingual
Externí odkaz:
http://arxiv.org/abs/2006.11578
Akademický článek
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Autor:
de Oliveira, Fátima de Cássia E., Silva, Maria Francilene S., Fernandes, Maria da Conceição R., Garcia, Max Moreira L., Dinelly Pinto, Ana Carolina M., Severino, Fernanda Gadelha, Alves, Jamille Soares Moreira, Fonseca, Carlos Augusto Guimarães, de Carvalho Araújo, Fernanda Montenegro, de Andrade, Luiz Odorico Monteiro, Gambim Fonseca, Marcela H.
Publikováno v:
In Molecular Immunology November 2023 163:13-19
Akademický článek
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