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Filtros

USP affiliated authors
- alcobaça neto, edesio pinto de souza (~1)
- carvalho, andré carlos ponce de leon ferreira de (~1)
- peron, thomas kauê dal'maso (~1)
Date published
- 2023 (~1)
- 2022 (~1)
Subjects
- análise numérica aplicada (~1)
- aprendizado computacional (~1)
- competição (~1)
- estabilidade estrutural (~1)
- mutualismo (biologia) (~1)
Language
- inglês (~2)
Source title
- chaos, solitons and fractals (~1)
- proceedings of machine learning research : pmlr (~1)
Publisher
- microtome publishing (~1)
Conference titles
- conference on neural information processing systems - neurips (~1)
Countries/Territories
- estados unidos (~1)
- reino unido (~1)
Grupo de pesquisa
Funding Agencies
- financiamento anr (2)
- financiamento aei-feder (1)
- financiamento fapesp (1)
- financiamento geronimo/horizon 2020 (1)
- financiamento google (1)

Artigo de periodico
Interspecific competition shapes the structural stability of mutualistic networks (2023)
Wang, Xiangrong ; Peron, Thomas ; Dubbeldam, Johan L. A ; Kéfi, Sonia ; Moreno, Yamir
Source: Chaos, Solitons and Fractals. Unidade: ICMC
Subjects: MUTUALISMO (BIOLOGIA), COMPETIÇÃO, ESTABILIDADE ESTRUTURAL, ANÁLISE NUMÉRICA APLICADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
WANG, Xiangrong et al. Interspecific competition shapes the structural stability of mutualistic networks. Chaos, Solitons and Fractals, v. 172, p. 1-9, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2023.113507. Acesso em: 01 nov. 2024.
APA
Wang, X., Peron, T., Dubbeldam, J. L. A., Kéfi, S., & Moreno, Y. (2023). Interspecific competition shapes the structural stability of mutualistic networks. Chaos, Solitons and Fractals, 172, 1-9. doi:10.1016/j.chaos.2023.113507
NLM
Wang X, Peron T, Dubbeldam JLA, Kéfi S, Moreno Y. Interspecific competition shapes the structural stability of mutualistic networks [Internet]. Chaos, Solitons and Fractals. 2023 ; 172 1-9.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1016/j.chaos.2023.113507
Vancouver
Wang X, Peron T, Dubbeldam JLA, Kéfi S, Moreno Y. Interspecific competition shapes the structural stability of mutualistic networks [Internet]. Chaos, Solitons and Fractals. 2023 ; 172 1-9.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1016/j.chaos.2023.113507
Trabalho de evento-anais periodico
Lessons learned from the NeurIPS 2021 MetaDL challenge: backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification (2022)
Baz, Adrian El; Ullah, Ihsan; Alcobaça, Edesio ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Chen, Hong; Ferreira, Fábio; Gouk, Henry; Guan, Chaoyu; Guyon, Isabelle; Hospedales, Timothy; Hu, Shell; Huisman, Mike ; Hutter, Frank ; Liu, Zhengying; Mohr, Felix ; Öztürk, Ekrem ; Rijn, Jan N. van ; Sun, Haozhe; Wang, Xin; Zhu, Wenwu
Source: Proceedings of Machine Learning Research : PMLR. Conference titles: Conference on Neural Information Processing Systems - NeurIPS. Unidade: ICMC
Assunto: APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BAZ, Adrian El et al. Lessons learned from the NeurIPS 2021 MetaDL challenge: backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. Proceedings of Machine Learning Research : PMLR. Brookline: Microtome Publishing. Disponível em: https://proceedings.mlr.press/v176/el-baz22a.html. Acesso em: 01 nov. 2024. , 2022
APA
Baz, A. E., Ullah, I., Alcobaça, E., Carvalho, A. C. P. de L. F. de, Chen, H., Ferreira, F., et al. (2022). Lessons learned from the NeurIPS 2021 MetaDL challenge: backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. Proceedings of Machine Learning Research : PMLR. Brookline: Microtome Publishing. Recuperado de https://proceedings.mlr.press/v176/el-baz22a.html
NLM
Baz AE, Ullah I, Alcobaça E, Carvalho ACP de LF de, Chen H, Ferreira F, Gouk H, Guan C, Guyon I, Hospedales T, Hu S, Huisman M, Hutter F, Liu Z, Mohr F, Öztürk E, Rijn JN van, Sun H, Wang X, Zhu W. Lessons learned from the NeurIPS 2021 MetaDL challenge: backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification [Internet]. Proceedings of Machine Learning Research : PMLR. 2022 ; 176 80-96.[citado 2024 nov. 01 ] Available from: https://proceedings.mlr.press/v176/el-baz22a.html
Vancouver
Baz AE, Ullah I, Alcobaça E, Carvalho ACP de LF de, Chen H, Ferreira F, Gouk H, Guan C, Guyon I, Hospedales T, Hu S, Huisman M, Hutter F, Liu Z, Mohr F, Öztürk E, Rijn JN van, Sun H, Wang X, Zhu W. Lessons learned from the NeurIPS 2021 MetaDL challenge: backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification [Internet]. Proceedings of Machine Learning Research : PMLR. 2022 ; 176 80-96.[citado 2024 nov. 01 ] Available from: https://proceedings.mlr.press/v176/el-baz22a.html

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