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Artigo de periodico
Tunable interactions in starch-anthocyanin complexes switched by high hydrostatic pressure (2024)
Li, Qin; Guo, Aixin; Rao, Lei; Zhao, Liang ; Wang, Yongtao; Liao, Xiaojun
Source: Food Chemistry. Unidade: FFCLRP
Subjects: AMIDO, FLAVONOIDES, POLIFENÓIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LI, Qin et al. Tunable interactions in starch-anthocyanin complexes switched by high hydrostatic pressure. Food Chemistry, v. 436, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.foodchem.2023.137677. Acesso em: 10 out. 2025.
APA
Li, Q., Guo, A., Rao, L., Zhao, L., Wang, Y., & Liao, X. (2024). Tunable interactions in starch-anthocyanin complexes switched by high hydrostatic pressure. Food Chemistry, 436. doi:10.1016/j.foodchem.2023.137677
NLM
Li Q, Guo A, Rao L, Zhao L, Wang Y, Liao X. Tunable interactions in starch-anthocyanin complexes switched by high hydrostatic pressure [Internet]. Food Chemistry. 2024 ; 436[citado 2025 out. 10 ] Available from: https://doi.org/10.1016/j.foodchem.2023.137677
Vancouver
Li Q, Guo A, Rao L, Zhao L, Wang Y, Liao X. Tunable interactions in starch-anthocyanin complexes switched by high hydrostatic pressure [Internet]. Food Chemistry. 2024 ; 436[citado 2025 out. 10 ] Available from: https://doi.org/10.1016/j.foodchem.2023.137677
Artigo de periodico
Insight into the mechanism of high hydrostatic pressure effect on inhibitory efficiency of three natural inhibitors on polyphenol oxidase (2024)
Tian, Xuezhi; Lv, Yunhao; Liang, Zhao ; Wang, Yongtao; Liao, Xiaojun
Source: Food Chemistry. Unidade: FFCLRP
Subjects: ESTERILIZAÇÃO DE ALIMENTOS, POLIFENÓIS, SIMULAÇÃO
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ABNT
TIAN, Xuezhi et al. Insight into the mechanism of high hydrostatic pressure effect on inhibitory efficiency of three natural inhibitors on polyphenol oxidase. Food Chemistry, v. 457, p. 1-10, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.foodchem.2024.140118. Acesso em: 10 out. 2025.
APA
Tian, X., Lv, Y., Liang, Z., Wang, Y., & Liao, X. (2024). Insight into the mechanism of high hydrostatic pressure effect on inhibitory efficiency of three natural inhibitors on polyphenol oxidase. Food Chemistry, 457, 1-10. doi:10.1016/j.foodchem.2024.140118
NLM
Tian X, Lv Y, Liang Z, Wang Y, Liao X. Insight into the mechanism of high hydrostatic pressure effect on inhibitory efficiency of three natural inhibitors on polyphenol oxidase [Internet]. Food Chemistry. 2024 ; 457 1-10.[citado 2025 out. 10 ] Available from: https://doi.org/10.1016/j.foodchem.2024.140118
Vancouver
Tian X, Lv Y, Liang Z, Wang Y, Liao X. Insight into the mechanism of high hydrostatic pressure effect on inhibitory efficiency of three natural inhibitors on polyphenol oxidase [Internet]. Food Chemistry. 2024 ; 457 1-10.[citado 2025 out. 10 ] Available from: https://doi.org/10.1016/j.foodchem.2024.140118
Artigo de periodico
Coarsening algorithm based on multi-label propagation for knowledge discovery in bipartite networks (2024)
Valejo, Alan Demetrius Baria ; Althoff, Paulo Eduardo ; Faleiros, Thiago de Paulo ; Rocha Filho, Geraldo Pereira ; Yu-Tao, Zhu ; Jianglong, Yan; Weiguang, Liu; Liang, Zhao
Source: IEEE Transactions on Network Science and Engineering. Unidades: FFCLRP, ICMC
Subjects: APRENDIZADO COMPUTACIONAL, DESCOBERTA DE CONHECIMENTO, ALGORITMOS ÚTEIS E ESPECÍFICOS, REDES COMPLEXAS
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ABNT
VALEJO, Alan Demetrius Baria et al. Coarsening algorithm based on multi-label propagation for knowledge discovery in bipartite networks. IEEE Transactions on Network Science and Engineering, v. 11, n. 2, p. 1799-1809, 2024Tradução . . Disponível em: https://doi.org/10.1109/TNSE.2023.3331655. Acesso em: 10 out. 2025.
APA
Valejo, A. D. B., Althoff, P. E., Faleiros, T. de P., Rocha Filho, G. P., Yu-Tao, Z., Jianglong, Y., et al. (2024). Coarsening algorithm based on multi-label propagation for knowledge discovery in bipartite networks. IEEE Transactions on Network Science and Engineering, 11( 2), 1799-1809. doi:10.1109/TNSE.2023.3331655
NLM
Valejo ADB, Althoff PE, Faleiros T de P, Rocha Filho GP, Yu-Tao Z, Jianglong Y, Weiguang L, Liang Z. Coarsening algorithm based on multi-label propagation for knowledge discovery in bipartite networks [Internet]. IEEE Transactions on Network Science and Engineering. 2024 ; 11( 2): 1799-1809.[citado 2025 out. 10 ] Available from: https://doi.org/10.1109/TNSE.2023.3331655
Vancouver
Valejo ADB, Althoff PE, Faleiros T de P, Rocha Filho GP, Yu-Tao Z, Jianglong Y, Weiguang L, Liang Z. Coarsening algorithm based on multi-label propagation for knowledge discovery in bipartite networks [Internet]. IEEE Transactions on Network Science and Engineering. 2024 ; 11( 2): 1799-1809.[citado 2025 out. 10 ] Available from: https://doi.org/10.1109/TNSE.2023.3331655
Artigo de periodico
The role of cGAS-STING signalling in metabolic diseases: from signalling networks to targeted intervention (2024)
Gong, Jiahui; Gao, Xilong; Ge, Shaoyang; Li, Hongliang; Wang, Ran; Zhao, Liang
Source: International Journal of Biological Sciences. Unidade: FFCLRP
Subjects: IMUNIDADE, INFLAMAÇÃO, INTERFERON TIPO I, DOENÇAS METABÓLICAS, TRANSDUÇÃO DE SINAL CELULAR
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ABNT
GONG, Jiahui et al. The role of cGAS-STING signalling in metabolic diseases: from signalling networks to targeted intervention. International Journal of Biological Sciences, v. 20, n. 1, p. 152-174, 2024Tradução . . Disponível em: https://doi.org/10.7150/ijbs.84890. Acesso em: 10 out. 2025.
APA
Gong, J., Gao, X., Ge, S., Li, H., Wang, R., & Zhao, L. (2024). The role of cGAS-STING signalling in metabolic diseases: from signalling networks to targeted intervention. International Journal of Biological Sciences, 20( 1), 152-174. doi:10.7150/ijbs.84890
NLM
Gong J, Gao X, Ge S, Li H, Wang R, Zhao L. The role of cGAS-STING signalling in metabolic diseases: from signalling networks to targeted intervention [Internet]. International Journal of Biological Sciences. 2024 ; 20( 1): 152-174.[citado 2025 out. 10 ] Available from: https://doi.org/10.7150/ijbs.84890
Vancouver
Gong J, Gao X, Ge S, Li H, Wang R, Zhao L. The role of cGAS-STING signalling in metabolic diseases: from signalling networks to targeted intervention [Internet]. International Journal of Biological Sciences. 2024 ; 20( 1): 152-174.[citado 2025 out. 10 ] Available from: https://doi.org/10.7150/ijbs.84890
Artigo de periodico
Isolation and characterization of superdormant Bacillus subtilis spores under high hydrostatic pressure at 200 MPa and 500 MPa (2024)
Zhang, Junyi; Ding, Yumeng; Kang, Shengnan; Yang, Dong; Wang, Yongtao; Zhao, Liang ; Wang, Jinfeng; Rao, Lei; Liao, Xiaojun
Source: Innovative Food Science and Emerging Technologies. Unidade: FFCLRP
Subjects: GERMINAÇÃO, ALTA TEMPERATURA, BACTÉRIAS GRAM-POSITIVAS
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ABNT
ZHANG, Junyi et al. Isolation and characterization of superdormant Bacillus subtilis spores under high hydrostatic pressure at 200 MPa and 500 MPa. Innovative Food Science and Emerging Technologies, v. 96, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.ifset.2024.103769. Acesso em: 10 out. 2025.
APA
Zhang, J., Ding, Y., Kang, S., Yang, D., Wang, Y., Zhao, L., et al. (2024). Isolation and characterization of superdormant Bacillus subtilis spores under high hydrostatic pressure at 200 MPa and 500 MPa. Innovative Food Science and Emerging Technologies, 96. doi:10.1016/j.ifset.2024.103769
NLM
Zhang J, Ding Y, Kang S, Yang D, Wang Y, Zhao L, Wang J, Rao L, Liao X. Isolation and characterization of superdormant Bacillus subtilis spores under high hydrostatic pressure at 200 MPa and 500 MPa [Internet]. Innovative Food Science and Emerging Technologies. 2024 ; 96[citado 2025 out. 10 ] Available from: https://doi.org/10.1016/j.ifset.2024.103769
Vancouver
Zhang J, Ding Y, Kang S, Yang D, Wang Y, Zhao L, Wang J, Rao L, Liao X. Isolation and characterization of superdormant Bacillus subtilis spores under high hydrostatic pressure at 200 MPa and 500 MPa [Internet]. Innovative Food Science and Emerging Technologies. 2024 ; 96[citado 2025 out. 10 ] Available from: https://doi.org/10.1016/j.ifset.2024.103769
Artigo de periodico
Skin rejuvenation in aged mice by fecal transplantation microbiota from young mice feces (2024)
Yu, Shoujuan; Li, Ziyang; Zhang, Xiaoxu; Zhang, Qi; Zhang, Liwei; Zhao, Liang ; Liu, Ping; Guo, Jie; Chen, Juan; Zhang, Chengying; Liu, Xinjuan; Yu, Mengyang; Jin, Dekui; Wang, Xiaofeng; Li, Guang; Cao, Yan; Ren, Fazheng; Wang, Ran
Source: Engineering. Unidade: FFCLRP
Subjects: ENVELHECIMENTO, PELE, DIFERENCIAÇÃO CELULAR, CÉLULAS EPITELIAIS
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ABNT
YU, Shoujuan et al. Skin rejuvenation in aged mice by fecal transplantation microbiota from young mice feces. Engineering, v. 42, p. 26-38, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.eng.2024.08.005. Acesso em: 10 out. 2025.
APA
Yu, S., Li, Z., Zhang, X., Zhang, Q., Zhang, L., Zhao, L., et al. (2024). Skin rejuvenation in aged mice by fecal transplantation microbiota from young mice feces. Engineering, 42, 26-38. doi:10.1016/j.eng.2024.08.005
NLM
Yu S, Li Z, Zhang X, Zhang Q, Zhang L, Zhao L, Liu P, Guo J, Chen J, Zhang C, Liu X, Yu M, Jin D, Wang X, Li G, Cao Y, Ren F, Wang R. Skin rejuvenation in aged mice by fecal transplantation microbiota from young mice feces [Internet]. Engineering. 2024 ; 42 26-38.[citado 2025 out. 10 ] Available from: https://doi.org/10.1016/j.eng.2024.08.005
Vancouver
Yu S, Li Z, Zhang X, Zhang Q, Zhang L, Zhao L, Liu P, Guo J, Chen J, Zhang C, Liu X, Yu M, Jin D, Wang X, Li G, Cao Y, Ren F, Wang R. Skin rejuvenation in aged mice by fecal transplantation microbiota from young mice feces [Internet]. Engineering. 2024 ; 42 26-38.[citado 2025 out. 10 ] Available from: https://doi.org/10.1016/j.eng.2024.08.005
Artigo de periodico
A review on fermented vegetables: microbial community and potential upgrading strategy via inoculated fermentation (2024)
Xu, Jinge; Peng, Sijia; Xiong, Yandi; Zheng, Zhuoqi; Liu, Meng; Xu, Jiayue; Chen, Wei; Liu, Mengsong; Kong, Jiaqi; Wang, Chenyu; Wang, Yongtao; Rao, Lei; Liang, Zhao ; Liao, Xiaojun
Source: Comprehensive Reviews in Food Science and Food Safety. Unidade: FFCLRP
Subjects: BACTÉRIAS, ALIMENTOS FERMENTADOS, MICROBIOLOGIA DE ALIMENTOS, LEGUMES, LEVEDURAS
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ABNT
XU, Jinge et al. A review on fermented vegetables: microbial community and potential upgrading strategy via inoculated fermentation. Comprehensive Reviews in Food Science and Food Safety, v. 23, n. 3, p. 1-38, 2024Tradução . . Disponível em: https://doi.org/10.1111/1541-4337.13362. Acesso em: 10 out. 2025.
APA
Xu, J., Peng, S., Xiong, Y., Zheng, Z., Liu, M., Xu, J., et al. (2024). A review on fermented vegetables: microbial community and potential upgrading strategy via inoculated fermentation. Comprehensive Reviews in Food Science and Food Safety, 23( 3), 1-38. doi:10.1111/1541-4337.13362
NLM
Xu J, Peng S, Xiong Y, Zheng Z, Liu M, Xu J, Chen W, Liu M, Kong J, Wang C, Wang Y, Rao L, Liang Z, Liao X. A review on fermented vegetables: microbial community and potential upgrading strategy via inoculated fermentation [Internet]. Comprehensive Reviews in Food Science and Food Safety. 2024 ; 23( 3): 1-38.[citado 2025 out. 10 ] Available from: https://doi.org/10.1111/1541-4337.13362
Vancouver
Xu J, Peng S, Xiong Y, Zheng Z, Liu M, Xu J, Chen W, Liu M, Kong J, Wang C, Wang Y, Rao L, Liang Z, Liao X. A review on fermented vegetables: microbial community and potential upgrading strategy via inoculated fermentation [Internet]. Comprehensive Reviews in Food Science and Food Safety. 2024 ; 23( 3): 1-38.[citado 2025 out. 10 ] Available from: https://doi.org/10.1111/1541-4337.13362
Trabalho de evento
Modelling graph neural network by aggregating the activation maps of self-organizing map (2024)
Martins, Luan Vinicius de Carvalho ; Donghong, Ji; Liang, Zhao
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidades: FFCLRP, ICMC
Subjects: REDES NEURAIS, TEORIA DOS GRAFOS
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ABNT
MARTINS, Luan Vinicius de Carvalho e DONGHONG, Ji e LIANG, Zhao. Modelling graph neural network by aggregating the activation maps of self-organizing map. 2024, Anais.. Piscataway: IEEE, 2024. Disponível em: https://doi.org/10.1109/IJCNN60899.2024.10650514. Acesso em: 10 out. 2025.
APA
Martins, L. V. de C., Donghong, J., & Liang, Z. (2024). Modelling graph neural network by aggregating the activation maps of self-organizing map. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN60899.2024.10650514
NLM
Martins LV de C, Donghong J, Liang Z. Modelling graph neural network by aggregating the activation maps of self-organizing map [Internet]. Proceedings. 2024 ;[citado 2025 out. 10 ] Available from: https://doi.org/10.1109/IJCNN60899.2024.10650514
Vancouver
Martins LV de C, Donghong J, Liang Z. Modelling graph neural network by aggregating the activation maps of self-organizing map [Internet]. Proceedings. 2024 ;[citado 2025 out. 10 ] Available from: https://doi.org/10.1109/IJCNN60899.2024.10650514
Trabalho de evento
High-Level Network-based Detection of Oral Cancer from ATR-FTIR Spectroscopy (2024)
Lima Filho, Ricardo B; Fernandes, Janayna M; Ji, Donghong; Liang, Zhao ; Sabino-Silva, Robinson; Carneiro, Murillo G
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks (IJCNN). Unidade: FFCLRP
Subjects: NEOPLASIAS BUCAIS, REDES COMPLEXAS, SÉRIES DE FOURIER, BIOMARCADORES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LIMA FILHO, Ricardo B et al. High-Level Network-based Detection of Oral Cancer from ATR-FTIR Spectroscopy. 2024, Anais.. Piscataway: IEEE, 2024. Disponível em: https://doi.org/10.1109/IJCNN60899.2024.10650557. Acesso em: 10 out. 2025.
APA
Lima Filho, R. B., Fernandes, J. M., Ji, D., Liang, Z., Sabino-Silva, R., & Carneiro, M. G. (2024). High-Level Network-based Detection of Oral Cancer from ATR-FTIR Spectroscopy. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN60899.2024.10650557
NLM
Lima Filho RB, Fernandes JM, Ji D, Liang Z, Sabino-Silva R, Carneiro MG. High-Level Network-based Detection of Oral Cancer from ATR-FTIR Spectroscopy [Internet]. Proceedings. 2024 ;[citado 2025 out. 10 ] Available from: https://doi.org/10.1109/IJCNN60899.2024.10650557
Vancouver
Lima Filho RB, Fernandes JM, Ji D, Liang Z, Sabino-Silva R, Carneiro MG. High-Level Network-based Detection of Oral Cancer from ATR-FTIR Spectroscopy [Internet]. Proceedings. 2024 ;[citado 2025 out. 10 ] Available from: https://doi.org/10.1109/IJCNN60899.2024.10650557
Artigo de periodico
Health effects of fruit juices and beverages with varying degrees of processing (2024)
Zhang, Xinyue; Liao, Xiaojun; Wang, Yongtao; Rao, Lei; Zhao, Liang
Source: Food Science and Human Wellness. Unidade: FFCLRP
Subjects: SUCOS DE FRUTAS, DIETÉTICA, CONSUMO DE ALIMENTOS, PROCESSAMENTO DE ALIMENTOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ZHANG, Xinyue et al. Health effects of fruit juices and beverages with varying degrees of processing. Food Science and Human Wellness, v. 13, n. 5, p. 2456-2479, 2024Tradução . . Disponível em: https://doi.org/10.26599/FSHW.2022.9250202. Acesso em: 10 out. 2025.
APA
Zhang, X., Liao, X., Wang, Y., Rao, L., & Zhao, L. (2024). Health effects of fruit juices and beverages with varying degrees of processing. Food Science and Human Wellness, 13( 5), 2456-2479. doi:10.26599/FSHW.2022.9250202
NLM
Zhang X, Liao X, Wang Y, Rao L, Zhao L. Health effects of fruit juices and beverages with varying degrees of processing [Internet]. Food Science and Human Wellness. 2024 ; 13( 5): 2456-2479.[citado 2025 out. 10 ] Available from: https://doi.org/10.26599/FSHW.2022.9250202
Vancouver
Zhang X, Liao X, Wang Y, Rao L, Zhao L. Health effects of fruit juices and beverages with varying degrees of processing [Internet]. Food Science and Human Wellness. 2024 ; 13( 5): 2456-2479.[citado 2025 out. 10 ] Available from: https://doi.org/10.26599/FSHW.2022.9250202
Artigo de periodico
Pinning synchronization of multiple fractional-order fuzzy complex-valued delayed spatiotemporal neural networks (2024)
Wu, Kai; Tang, Ming; Liu, Zonghua; Ren, Han; Liang, Zhao
Source: Chaos, Solitons & Fractals. Unidade: FFCLRP
Subjects: CIÊNCIA DA COMPUTAÇÃO, FUZZY (INTELIGÊNCIA ARTIFICIAL)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
WU, Kai et al. Pinning synchronization of multiple fractional-order fuzzy complex-valued delayed spatiotemporal neural networks. Chaos, Solitons & Fractals, v. 182, p. 1-12, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2024.114801. Acesso em: 10 out. 2025.
APA
Wu, K., Tang, M., Liu, Z., Ren, H., & Liang, Z. (2024). Pinning synchronization of multiple fractional-order fuzzy complex-valued delayed spatiotemporal neural networks. Chaos, Solitons & Fractals, 182, 1-12. doi:10.1016/j.chaos.2024.114801
NLM
Wu K, Tang M, Liu Z, Ren H, Liang Z. Pinning synchronization of multiple fractional-order fuzzy complex-valued delayed spatiotemporal neural networks [Internet]. Chaos, Solitons & Fractals. 2024 ; 182 1-12.[citado 2025 out. 10 ] Available from: https://doi.org/10.1016/j.chaos.2024.114801
Vancouver
Wu K, Tang M, Liu Z, Ren H, Liang Z. Pinning synchronization of multiple fractional-order fuzzy complex-valued delayed spatiotemporal neural networks [Internet]. Chaos, Solitons & Fractals. 2024 ; 182 1-12.[citado 2025 out. 10 ] Available from: https://doi.org/10.1016/j.chaos.2024.114801
Artigo de periodico
Assessing the influences of β-glucan on highland barley starch: insights into gelatinization and molecular interactions (2024)
Li, Liang; Pan, Fei; Tian, Xuezhi; Li, Yuwan; Rao, Lei; Zhao, Liang ; Wang, Yongtao; Liao, Xiaojun
Source: Food Chemistry. Unidade: FFCLRP
Subjects: POLISSACARÍDEOS, AMIDO, CEVADA, FÍSICO-QUÍMICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LI, Liang et al. Assessing the influences of β-glucan on highland barley starch: insights into gelatinization and molecular interactions. Food Chemistry, v. 460, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.foodchem.2024.140767. Acesso em: 10 out. 2025.
APA
Li, L., Pan, F., Tian, X., Li, Y., Rao, L., Zhao, L., et al. (2024). Assessing the influences of β-glucan on highland barley starch: insights into gelatinization and molecular interactions. Food Chemistry, 460. doi:10.1016/j.foodchem.2024.140767
NLM
Li L, Pan F, Tian X, Li Y, Rao L, Zhao L, Wang Y, Liao X. Assessing the influences of β-glucan on highland barley starch: insights into gelatinization and molecular interactions [Internet]. Food Chemistry. 2024 ; 460[citado 2025 out. 10 ] Available from: https://doi.org/10.1016/j.foodchem.2024.140767
Vancouver
Li L, Pan F, Tian X, Li Y, Rao L, Zhao L, Wang Y, Liao X. Assessing the influences of β-glucan on highland barley starch: insights into gelatinization and molecular interactions [Internet]. Food Chemistry. 2024 ; 460[citado 2025 out. 10 ] Available from: https://doi.org/10.1016/j.foodchem.2024.140767
Artigo de periodico
TKDP: threefold knowledge-enriched deep prompt tuning for few-shot named entity recognition (2024)
Liu, Jiang; Fei, Hao; Li, Fei; Li, Jingye; Li, Bobo; Liang, Zhao ; Teng, Chong; Ji, Donghong
Source: IEEE Transactions on Knowledge and Data Engineering. Unidade: FFCLRP
Subjects: CIÊNCIA DA COMPUTAÇÃO, PROCESSAMENTO DE LINGUAGEM NATURAL, LINGUAGEM DE MÁQUINA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LIU, Jiang et al. TKDP: threefold knowledge-enriched deep prompt tuning for few-shot named entity recognition. IEEE Transactions on Knowledge and Data Engineering, v. 36, n. 11, p. 6397-6409, 2024Tradução . . Disponível em: https://doi.org/10.1109/TKDE.2024.3389650. Acesso em: 10 out. 2025.
APA
Liu, J., Fei, H., Li, F., Li, J., Li, B., Liang, Z., et al. (2024). TKDP: threefold knowledge-enriched deep prompt tuning for few-shot named entity recognition. IEEE Transactions on Knowledge and Data Engineering, 36( 11), 6397-6409. doi:10.1109/TKDE.2024.3389650
NLM
Liu J, Fei H, Li F, Li J, Li B, Liang Z, Teng C, Ji D. TKDP: threefold knowledge-enriched deep prompt tuning for few-shot named entity recognition [Internet]. IEEE Transactions on Knowledge and Data Engineering. 2024 ; 36( 11): 6397-6409.[citado 2025 out. 10 ] Available from: https://doi.org/10.1109/TKDE.2024.3389650
Vancouver
Liu J, Fei H, Li F, Li J, Li B, Liang Z, Teng C, Ji D. TKDP: threefold knowledge-enriched deep prompt tuning for few-shot named entity recognition [Internet]. IEEE Transactions on Knowledge and Data Engineering. 2024 ; 36( 11): 6397-6409.[citado 2025 out. 10 ] Available from: https://doi.org/10.1109/TKDE.2024.3389650
Trabalho de evento
TransGNN: a transductive graph neural network with graph dynamic embedding (2023)
Anghinoni, Leandro ; Yu-Tao, Zhu; Donghong, Ji; Liang, Zhao
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidades: FFCLRP, ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANGHINONI, Leandro et al. TransGNN: a transductive graph neural network with graph dynamic embedding. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/IJCNN54540.2023.10191134. Acesso em: 10 out. 2025.
APA
Anghinoni, L., Yu-Tao, Z., Donghong, J., & Liang, Z. (2023). TransGNN: a transductive graph neural network with graph dynamic embedding. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN54540.2023.10191134
NLM
Anghinoni L, Yu-Tao Z, Donghong J, Liang Z. TransGNN: a transductive graph neural network with graph dynamic embedding [Internet]. Proceedings. 2023 ;[citado 2025 out. 10 ] Available from: https://doi.org/10.1109/IJCNN54540.2023.10191134
Vancouver
Anghinoni L, Yu-Tao Z, Donghong J, Liang Z. TransGNN: a transductive graph neural network with graph dynamic embedding [Internet]. Proceedings. 2023 ;[citado 2025 out. 10 ] Available from: https://doi.org/10.1109/IJCNN54540.2023.10191134
Trabalho de evento
Complex network-based data classification using minimum spanning tree metric and optimization (2023)
Saire, Josimar Edinson Chire ; Liang, Zhao
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidades: FFCLRP, ICMC
Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SAIRE, Josimar Edinson Chire e LIANG, Zhao. Complex network-based data classification using minimum spanning tree metric and optimization. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/IJCNN54540.2023.10191004. Acesso em: 10 out. 2025.
APA
Saire, J. E. C., & Liang, Z. (2023). Complex network-based data classification using minimum spanning tree metric and optimization. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN54540.2023.10191004
NLM
Saire JEC, Liang Z. Complex network-based data classification using minimum spanning tree metric and optimization [Internet]. Proceedings. 2023 ;[citado 2025 out. 10 ] Available from: https://doi.org/10.1109/IJCNN54540.2023.10191004
Vancouver
Saire JEC, Liang Z. Complex network-based data classification using minimum spanning tree metric and optimization [Internet]. Proceedings. 2023 ;[citado 2025 out. 10 ] Available from: https://doi.org/10.1109/IJCNN54540.2023.10191004
Trabalho de evento
WSI2ML: an open-source whole slide image annotation software for machine learning applications (2023)
Martins, Luan Vinicius de Carvalho ; Bueno, Adriana Passos ; Defelicibus, Alexandre ; Drummond, Rodrigo Duarte ; Valieris, Renan ; Yu-Tao, Zhu ; Silva, Israel Tojal da ; Liang, Zhao
Source: Proceedings. Conference titles: Brazilian Symposium on Multimedia and the Web - WebMedia. Unidades: FFCLRP, ICMC
Subjects: BIOINFORMÁTICA, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, PATOLOGIA CLÍNICA, TECNOLOGIAS DA SAÚDE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MARTINS, Luan Vinicius de Carvalho et al. WSI2ML: an open-source whole slide image annotation software for machine learning applications. 2023, Anais.. New York: ACM, 2023. Disponível em: https://doi.org/10.1145/3617023.3617038. Acesso em: 10 out. 2025.
APA
Martins, L. V. de C., Bueno, A. P., Defelicibus, A., Drummond, R. D., Valieris, R., Yu-Tao, Z., et al. (2023). WSI2ML: an open-source whole slide image annotation software for machine learning applications. In Proceedings. New York: ACM. doi:10.1145/3617023.3617038
NLM
Martins LV de C, Bueno AP, Defelicibus A, Drummond RD, Valieris R, Yu-Tao Z, Silva IT da, Liang Z. WSI2ML: an open-source whole slide image annotation software for machine learning applications [Internet]. Proceedings. 2023 ;[citado 2025 out. 10 ] Available from: https://doi.org/10.1145/3617023.3617038
Vancouver
Martins LV de C, Bueno AP, Defelicibus A, Drummond RD, Valieris R, Yu-Tao Z, Silva IT da, Liang Z. WSI2ML: an open-source whole slide image annotation software for machine learning applications [Internet]. Proceedings. 2023 ;[citado 2025 out. 10 ] Available from: https://doi.org/10.1145/3617023.3617038
Artigo de periodico
TOE:: a grid-tagging discontinuous ner model enhanced by embedding tag/word relations and more fine-grained tags (2023)
Liu, Jiang; Ji, Donghong; Li, Jingye; Xie, Dongdong; Teng, Chong; Zhao, Liang; Li, Fei
Source: IEEE/ACM Transactions on Audio, Speech, and Language Processing. Unidade: FFCLRP
Subjects: DESIGNS (CONFIGURAÇÕES COMBINATÓRIAS), ARQUITETURA E ORGANIZAÇÃO DE COMPUTADORES, PROCESSAMENTO DE LINGUAGEM NATURAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LIU, Jiang et al. TOE:: a grid-tagging discontinuous ner model enhanced by embedding tag/word relations and more fine-grained tags. IEEE/ACM Transactions on Audio, Speech, and Language Processing, v. 31, p. 177-187, 2023Tradução . . Disponível em: https://doi.org/10.1109/TASLP.2022.3221009. Acesso em: 10 out. 2025.
APA
Liu, J., Ji, D., Li, J., Xie, D., Teng, C., Zhao, L., & Li, F. (2023). TOE:: a grid-tagging discontinuous ner model enhanced by embedding tag/word relations and more fine-grained tags. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 31, 177-187. doi:10.1109/TASLP.2022.3221009
NLM
Liu J, Ji D, Li J, Xie D, Teng C, Zhao L, Li F. TOE:: a grid-tagging discontinuous ner model enhanced by embedding tag/word relations and more fine-grained tags [Internet]. IEEE/ACM Transactions on Audio, Speech, and Language Processing. 2023 ; 31 177-187.[citado 2025 out. 10 ] Available from: https://doi.org/10.1109/TASLP.2022.3221009
Vancouver
Liu J, Ji D, Li J, Xie D, Teng C, Zhao L, Li F. TOE:: a grid-tagging discontinuous ner model enhanced by embedding tag/word relations and more fine-grained tags [Internet]. IEEE/ACM Transactions on Audio, Speech, and Language Processing. 2023 ; 31 177-187.[citado 2025 out. 10 ] Available from: https://doi.org/10.1109/TASLP.2022.3221009
Trabalho de evento
High-level classification for EEG analysis (2023)
Carneiro, Murillo Guimarães; Ramos, Camila D.; Destro Filho, João Batista; Zhu, Yu-tao; Ji, Donghong; Liang, Zhao
Conference titles: International Joint Conference on Neural Networks. Unidade: FFCLRP
Subjects: REDES COMPLEXAS, SISTEMA BINÁRIO, ELETROENCEFALOGRAFIA, PROGNÓSTICO, COMA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARNEIRO, Murillo Guimarães et al. High-level classification for EEG analysis. 2023, Anais.. Queensland: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, 2023. p. 1-8. Disponível em: https://doi.org/10.1109/IJCNN54540.2023.10191823. Acesso em: 10 out. 2025.
APA
Carneiro, M. G., Ramos, C. D., Destro Filho, J. B., Zhu, Y. -tao, Ji, D., & Liang, Z. (2023). High-level classification for EEG analysis. In (p. 1-8). Queensland: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1109/IJCNN54540.2023.10191823
NLM
Carneiro MG, Ramos CD, Destro Filho JB, Zhu Y-tao, Ji D, Liang Z. High-level classification for EEG analysis [Internet]. 2023 ; 1-8.[citado 2025 out. 10 ] Available from: https://doi.org/10.1109/IJCNN54540.2023.10191823
Vancouver
Carneiro MG, Ramos CD, Destro Filho JB, Zhu Y-tao, Ji D, Liang Z. High-level classification for EEG analysis [Internet]. 2023 ; 1-8.[citado 2025 out. 10 ] Available from: https://doi.org/10.1109/IJCNN54540.2023.10191823
Trabalho de evento-anais periodico
Maximizing portfolio profitability during a cryptocurrency downtrend: a bitcoin blockchain transaction-based approach (2023)
Zuñiga, Esteban Wilfredo Vilca ; Ranieri, Caetano Mazzoni ; Zhao, Liang ; Ueyama, Jó ; Zhu, Yu-tao; Ji, Donghong
Source: Proceedings. Conference titles: International Neural Network Society Workshop on Deep Learning Innovations and Applications - INNS DLIA. Unidades: FFCLRP, ICMC
Subjects: DINHEIRO ELETRÔNICO, APRENDIZAGEM PROFUNDA, REDES COMPLEXAS, INVESTIMENTOS, LUCRO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ZUÑIGA, Esteban Wilfredo Vilca et al. Maximizing portfolio profitability during a cryptocurrency downtrend: a bitcoin blockchain transaction-based approach. Proceedings. Amsterdam: Elsevier. Disponível em: https://doi.org/10.1016/j.procs.2023.08.192. Acesso em: 10 out. 2025. , 2023
APA
Zuñiga, E. W. V., Ranieri, C. M., Zhao, L., Ueyama, J., Zhu, Y. -tao, & Ji, D. (2023). Maximizing portfolio profitability during a cryptocurrency downtrend: a bitcoin blockchain transaction-based approach. Proceedings. Amsterdam: Elsevier. doi:10.1016/j.procs.2023.08.192
NLM
Zuñiga EWV, Ranieri CM, Zhao L, Ueyama J, Zhu Y-tao, Ji D. Maximizing portfolio profitability during a cryptocurrency downtrend: a bitcoin blockchain transaction-based approach [Internet]. Proceedings. 2023 ; 222 539-548.[citado 2025 out. 10 ] Available from: https://doi.org/10.1016/j.procs.2023.08.192
Vancouver
Zuñiga EWV, Ranieri CM, Zhao L, Ueyama J, Zhu Y-tao, Ji D. Maximizing portfolio profitability during a cryptocurrency downtrend: a bitcoin blockchain transaction-based approach [Internet]. Proceedings. 2023 ; 222 539-548.[citado 2025 out. 10 ] Available from: https://doi.org/10.1016/j.procs.2023.08.192
Artigo de periodico
Complex network-based classification of radiographic images for COVID-19 diagnosis (2023)
Weiguang, Liu; Rodrigues, Rafael Delalibera ; Jianglong, Yan; Yu-Tao, Zhu; Pereira, Everson José de Freitas; Gen, Li; Qiusheng, Zheng; Liang, Zhao
Source: PLoS ONE. Unidades: FFCLRP, ICMC
Subjects: REDES COMPLEXAS, RECONHECIMENTO DE IMAGEM, DIAGNÓSTICO POR COMPUTADOR, TECNOLOGIAS DA SAÚDE, RADIOGRAFIA, COVID-19
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
WEIGUANG, Liu et al. Complex network-based classification of radiographic images for COVID-19 diagnosis. PLoS ONE, v. 18, n. 9, p. 1-26, 2023Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0290968. Acesso em: 10 out. 2025.
APA
Weiguang, L., Rodrigues, R. D., Jianglong, Y., Yu-Tao, Z., Pereira, E. J. de F., Gen, L., et al. (2023). Complex network-based classification of radiographic images for COVID-19 diagnosis. PLoS ONE, 18( 9), 1-26. doi:10.1371/ journal.pone.0290968
NLM
Weiguang L, Rodrigues RD, Jianglong Y, Yu-Tao Z, Pereira EJ de F, Gen L, Qiusheng Z, Liang Z. Complex network-based classification of radiographic images for COVID-19 diagnosis [Internet]. PLoS ONE. 2023 ; 18( 9): 1-26.[citado 2025 out. 10 ] Available from: https://doi.org/10.1371/journal.pone.0290968
Vancouver
Weiguang L, Rodrigues RD, Jianglong Y, Yu-Tao Z, Pereira EJ de F, Gen L, Qiusheng Z, Liang Z. Complex network-based classification of radiographic images for COVID-19 diagnosis [Internet]. PLoS ONE. 2023 ; 18( 9): 1-26.[citado 2025 out. 10 ] Available from: https://doi.org/10.1371/journal.pone.0290968

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