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Applications of livestock monitoring devices and machine learning algorithms in animal production and reproduction: an overview (2023)
Curti, Paula de Freitas ; Selli, Alana ; Pinto, Diógenes Lodi ; Ruiz, Alexandre Merlos ; Balieiro, Júlio Cesar de Carvalho ; Ventura, Ricardo Vieira
Source: Animal Reproduction. Conference titles: Annual Meeting of the Brazilian Embryo Technology Society - SBTE. Unidade: FMVZ
Subjects: PECUÁRIA, INTELIGÊNCIA ARTIFICIAL, ALGORITMOS
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ABNT
CURTI, Paula de Freitas et al. Applications of livestock monitoring devices and machine learning algorithms in animal production and reproduction: an overview. Animal Reproduction. Belo Horizonte: Faculdade de Medicina Veterinária e Zootecnia, Universidade de São Paulo. Disponível em: https://doi.org/10.1590/1984-3143-AR2023-0077. Acesso em: 26 set. 2024. , 2023
APA
Curti, P. de F., Selli, A., Pinto, D. L., Ruiz, A. M., Balieiro, J. C. de C., & Ventura, R. V. (2023). Applications of livestock monitoring devices and machine learning algorithms in animal production and reproduction: an overview. Animal Reproduction. Belo Horizonte: Faculdade de Medicina Veterinária e Zootecnia, Universidade de São Paulo. doi:10.1590/1984-3143-AR2023-0077
NLM
Curti P de F, Selli A, Pinto DL, Ruiz AM, Balieiro JC de C, Ventura RV. Applications of livestock monitoring devices and machine learning algorithms in animal production and reproduction: an overview [Internet]. Animal Reproduction. 2023 ; 20( 2): 1-14.[citado 2024 set. 26 ] Available from: https://doi.org/10.1590/1984-3143-AR2023-0077
Vancouver
Curti P de F, Selli A, Pinto DL, Ruiz AM, Balieiro JC de C, Ventura RV. Applications of livestock monitoring devices and machine learning algorithms in animal production and reproduction: an overview [Internet]. Animal Reproduction. 2023 ; 20( 2): 1-14.[citado 2024 set. 26 ] Available from: https://doi.org/10.1590/1984-3143-AR2023-0077
Artigo de periodico
Image feature extraction via local binary patterns for marbling score classification in beef cattle using tree-based algorithms (2023)
Pinto, Diógenes Lodi ; Selli, Alana ; Tulpan, Dan; Andrietta, Lucas Tassoni ; Garbossa, Pollyana Leite Matioli ; Voort, Gordon Vander; Munro, Jasper; McMorris, Mike; Alves, Anderson Antonio Carvalho; Carvalheiro, Roberto ; Poleti, Mirele Daiana ; Balieiro, Júlio Cesar de Carvalho ; Ventura, Ricardo Vieira
Source: Livestock Science. Unidades: FZEA, FMVZ
Subjects: BOVINOS DE CORTE, CARNES E DERIVADOS, ALGORITMOS, APRENDIZADO COMPUTACIONAL
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ABNT
PINTO, Diógenes Lodi et al. Image feature extraction via local binary patterns for marbling score classification in beef cattle using tree-based algorithms. Livestock Science, v. 267, p. 1-10, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.livsci.2022.105152. Acesso em: 26 set. 2024.
APA
Pinto, D. L., Selli, A., Tulpan, D., Andrietta, L. T., Garbossa, P. L. M., Voort, G. V., et al. (2023). Image feature extraction via local binary patterns for marbling score classification in beef cattle using tree-based algorithms. Livestock Science, 267, 1-10. doi:10.1016/j.livsci.2022.105152
NLM
Pinto DL, Selli A, Tulpan D, Andrietta LT, Garbossa PLM, Voort GV, Munro J, McMorris M, Alves AAC, Carvalheiro R, Poleti MD, Balieiro JC de C, Ventura RV. Image feature extraction via local binary patterns for marbling score classification in beef cattle using tree-based algorithms [Internet]. Livestock Science. 2023 ; 267 1-10.[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.livsci.2022.105152
Vancouver
Pinto DL, Selli A, Tulpan D, Andrietta LT, Garbossa PLM, Voort GV, Munro J, McMorris M, Alves AAC, Carvalheiro R, Poleti MD, Balieiro JC de C, Ventura RV. Image feature extraction via local binary patterns for marbling score classification in beef cattle using tree-based algorithms [Internet]. Livestock Science. 2023 ; 267 1-10.[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.livsci.2022.105152
Artigo de periodico
Long-range medical image registration through generalized mutual information (GMI): towards a fully automatic volumetric alignment (2022)
Vianna, Vinicius Pavanelli ; Murta Júnior, Luiz Otávio
Source: Physics in Medicine and Biology. Unidade: FFCLRP
Subjects: ALGORITMOS, CÉREBRO, DIAGNÓSTICO POR IMAGEM, ENTROPIA, NEUROIMAGEM
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ABNT
VIANNA, Vinicius Pavanelli e MURTA JÚNIOR, Luiz Otávio. Long-range medical image registration through generalized mutual information (GMI): towards a fully automatic volumetric alignment. Physics in Medicine and Biology, v. 67, n. 5, 2022Tradução . . Disponível em: https://doi.org/10.1088/1361-6560/ac5298. Acesso em: 26 set. 2024.
APA
Vianna, V. P., & Murta Júnior, L. O. (2022). Long-range medical image registration through generalized mutual information (GMI): towards a fully automatic volumetric alignment. Physics in Medicine and Biology, 67( 5). doi:10.1088/1361-6560/ac5298
NLM
Vianna VP, Murta Júnior LO. Long-range medical image registration through generalized mutual information (GMI): towards a fully automatic volumetric alignment [Internet]. Physics in Medicine and Biology. 2022 ; 67( 5):[citado 2024 set. 26 ] Available from: https://doi.org/10.1088/1361-6560/ac5298
Vancouver
Vianna VP, Murta Júnior LO. Long-range medical image registration through generalized mutual information (GMI): towards a fully automatic volumetric alignment [Internet]. Physics in Medicine and Biology. 2022 ; 67( 5):[citado 2024 set. 26 ] Available from: https://doi.org/10.1088/1361-6560/ac5298
Artigo de periodico
The skew-t censored regression model: parameter estimation via an EM-type algorithm (2022)
Lachos, Victor Hugo ; Bazán Guzmán, Jorge Luis ; Castro, Luis M; Park, Jiwon
Source: Communications for Statistical Applications and Methods. Unidades: ICMC, IME
Subjects: VEROSSIMILHANÇA, ALGORITMOS, DISTRIBUIÇÃO T, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO
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ABNT
LACHOS, Victor Hugo et al. The skew-t censored regression model: parameter estimation via an EM-type algorithm. Communications for Statistical Applications and Methods, v. 29, n. 3, p. 333-351, 2022Tradução . . Disponível em: https://doi.org/10.29220/CSAM.2022.29.3.333. Acesso em: 26 set. 2024.
APA
Lachos, V. H., Bazán Guzmán, J. L., Castro, L. M., & Park, J. (2022). The skew-t censored regression model: parameter estimation via an EM-type algorithm. Communications for Statistical Applications and Methods, 29( 3), 333-351. doi:10.29220/CSAM.2022.29.3.333
NLM
Lachos VH, Bazán Guzmán JL, Castro LM, Park J. The skew-t censored regression model: parameter estimation via an EM-type algorithm [Internet]. Communications for Statistical Applications and Methods. 2022 ; 29( 3): 333-351.[citado 2024 set. 26 ] Available from: https://doi.org/10.29220/CSAM.2022.29.3.333
Vancouver
Lachos VH, Bazán Guzmán JL, Castro LM, Park J. The skew-t censored regression model: parameter estimation via an EM-type algorithm [Internet]. Communications for Statistical Applications and Methods. 2022 ; 29( 3): 333-351.[citado 2024 set. 26 ] Available from: https://doi.org/10.29220/CSAM.2022.29.3.333
Artigo de periodico
Mapping parameter spaces of biological switches (2021)
Diegmiller, Rocky ; Zhang, Lun ; Gameiro, Márcio Fuzeto ; Barr, Justinn ; Alsous, Jasmin Imran ; Schedl, Paul ; Shvartsman, Stanislav Y ; Mischaikow, Konstantin
Source: PLOS Computational Biology. Unidade: ICMC
Subjects: SISTEMAS NÃO LINEARES, EQUAÇÕES DIFERENCIAIS ORDINÁRIAS, OÓCITOS, ALGORITMOS
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ABNT
DIEGMILLER, Rocky et al. Mapping parameter spaces of biological switches. PLOS Computational Biology, v. 17, n. 2, p. 1-19, 2021Tradução . . Disponível em: https://doi.org/10.1371/journal.pcbi.1008711. Acesso em: 26 set. 2024.
APA
Diegmiller, R., Zhang, L., Gameiro, M. F., Barr, J., Alsous, J. I., Schedl, P., et al. (2021). Mapping parameter spaces of biological switches. PLOS Computational Biology, 17( 2), 1-19. doi:10.1371/journal.pcbi.1008711
NLM
Diegmiller R, Zhang L, Gameiro MF, Barr J, Alsous JI, Schedl P, Shvartsman SY, Mischaikow K. Mapping parameter spaces of biological switches [Internet]. PLOS Computational Biology. 2021 ; 17( 2): 1-19.[citado 2024 set. 26 ] Available from: https://doi.org/10.1371/journal.pcbi.1008711
Vancouver
Diegmiller R, Zhang L, Gameiro MF, Barr J, Alsous JI, Schedl P, Shvartsman SY, Mischaikow K. Mapping parameter spaces of biological switches [Internet]. PLOS Computational Biology. 2021 ; 17( 2): 1-19.[citado 2024 set. 26 ] Available from: https://doi.org/10.1371/journal.pcbi.1008711
Artigo de periodico
Unmanned aerial vehicles flight safety improvement using in-flight awareness (2021)
Mattei, Andre Luiz Pierre ; Toledo, Claudio Fabiano Motta ; Arantes, Jesimar da Silva ; Trindade Junior, Onofre
Source: Intelligent Information Management. Unidade: ICMC
Subjects: SIMULADORES DE VOO, AERONAVES NÃO TRIPULADAS, ALGORITMOS
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ABNT
MATTEI, Andre Luiz Pierre et al. Unmanned aerial vehicles flight safety improvement using in-flight awareness. Intelligent Information Management, v. 13, n. 2, p. 97-123, 2021Tradução . . Disponível em: https://doi.org/10.4236/iim.2021.132005. Acesso em: 26 set. 2024.
APA
Mattei, A. L. P., Toledo, C. F. M., Arantes, J. da S., & Trindade Junior, O. (2021). Unmanned aerial vehicles flight safety improvement using in-flight awareness. Intelligent Information Management, 13( 2), 97-123. doi:10.4236/iim.2021.132005
NLM
Mattei ALP, Toledo CFM, Arantes J da S, Trindade Junior O. Unmanned aerial vehicles flight safety improvement using in-flight awareness [Internet]. Intelligent Information Management. 2021 ; 13( 2): 97-123.[citado 2024 set. 26 ] Available from: https://doi.org/10.4236/iim.2021.132005
Vancouver
Mattei ALP, Toledo CFM, Arantes J da S, Trindade Junior O. Unmanned aerial vehicles flight safety improvement using in-flight awareness [Internet]. Intelligent Information Management. 2021 ; 13( 2): 97-123.[citado 2024 set. 26 ] Available from: https://doi.org/10.4236/iim.2021.132005
Artigo de periodico
Induction therapeutic drug monitoring regimen with infliximab: a simplified evidence-based algorithm for inflammatory bowel disease (2020)
Queiroz, Natalia Sousa Freitas; Teixeira, Fábio Vieira; Parra, Rogério Serafim; Kotze, Paulo Gustavo
Source: Arquivos de Gastroenterologia. Unidades: FM, FMRP
Subjects: ALGORITMOS, FÁRMACOS GASTRINTESTINAIS, ENTEROPATIAS INFLAMATÓRIAS, MEDICAMENTO
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ABNT
QUEIROZ, Natalia Sousa Freitas et al. Induction therapeutic drug monitoring regimen with infliximab: a simplified evidence-based algorithm for inflammatory bowel disease. Arquivos de Gastroenterologia, v. 57, n. 4, p. 507-510, 2020Tradução . . Disponível em: https://doi.org/10.1590/S0004-2803.202000000-76. Acesso em: 26 set. 2024.
APA
Queiroz, N. S. F., Teixeira, F. V., Parra, R. S., & Kotze, P. G. (2020). Induction therapeutic drug monitoring regimen with infliximab: a simplified evidence-based algorithm for inflammatory bowel disease. Arquivos de Gastroenterologia, 57( 4), 507-510. doi:10.1590/S0004-2803.202000000-76
NLM
Queiroz NSF, Teixeira FV, Parra RS, Kotze PG. Induction therapeutic drug monitoring regimen with infliximab: a simplified evidence-based algorithm for inflammatory bowel disease [Internet]. Arquivos de Gastroenterologia. 2020 ; 57( 4): 507-510.[citado 2024 set. 26 ] Available from: https://doi.org/10.1590/S0004-2803.202000000-76
Vancouver
Queiroz NSF, Teixeira FV, Parra RS, Kotze PG. Induction therapeutic drug monitoring regimen with infliximab: a simplified evidence-based algorithm for inflammatory bowel disease [Internet]. Arquivos de Gastroenterologia. 2020 ; 57( 4): 507-510.[citado 2024 set. 26 ] Available from: https://doi.org/10.1590/S0004-2803.202000000-76
Artigo de periodico
Effects of heterogeneities in dose distributions under nonreference conditions: Monte Carlo simulation vs dose calculation algorithms (2019)
Reis, Cristiano Queiroz Melo; Nicolucci, Patricia ; Fortes, Saulo S.; Silva, Leonardo P.
Source: Medical Dosimetry. Unidade: FFCLRP
Subjects: ALGORITMOS, RADIOTERAPIA, FÍSICA MÉDICA
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ABNT
REIS, Cristiano Queiroz Melo et al. Effects of heterogeneities in dose distributions under nonreference conditions: Monte Carlo simulation vs dose calculation algorithms. Medical Dosimetry, v. 44, n. 1, p. 74-82, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.meddos.2018.02.009. Acesso em: 26 set. 2024.
APA
Reis, C. Q. M., Nicolucci, P., Fortes, S. S., & Silva, L. P. (2019). Effects of heterogeneities in dose distributions under nonreference conditions: Monte Carlo simulation vs dose calculation algorithms. Medical Dosimetry, 44( 1), 74-82. doi:10.1016/j.meddos.2018.02.009
NLM
Reis CQM, Nicolucci P, Fortes SS, Silva LP. Effects of heterogeneities in dose distributions under nonreference conditions: Monte Carlo simulation vs dose calculation algorithms [Internet]. Medical Dosimetry. 2019 ; 44( 1): 74-82.[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.meddos.2018.02.009
Vancouver
Reis CQM, Nicolucci P, Fortes SS, Silva LP. Effects of heterogeneities in dose distributions under nonreference conditions: Monte Carlo simulation vs dose calculation algorithms [Internet]. Medical Dosimetry. 2019 ; 44( 1): 74-82.[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.meddos.2018.02.009
Artigo de periodico
A framework for inducing artificial changes in optimization problems (2019)
Tinós, Renato ; Yang, Shengxiang
Source: Information Sciences. Unidade: FFCLRP
Subjects: ALGORITMOS, OTIMIZAÇÃO COMBINATÓRIA
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ABNT
TINÓS, Renato e YANG, Shengxiang. A framework for inducing artificial changes in optimization problems. Information Sciences, v. 485, p. 486-504, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2019.02.027. Acesso em: 26 set. 2024.
APA
Tinós, R., & Yang, S. (2019). A framework for inducing artificial changes in optimization problems. Information Sciences, 485, 486-504. doi:10.1016/j.ins.2019.02.027
NLM
Tinós R, Yang S. A framework for inducing artificial changes in optimization problems [Internet]. Information Sciences. 2019 ; 485 486-504.[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.ins.2019.02.027
Vancouver
Tinós R, Yang S. A framework for inducing artificial changes in optimization problems [Internet]. Information Sciences. 2019 ; 485 486-504.[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.ins.2019.02.027
Artigo de periodico
Machine learning identifies stemness features associated with oncogenic dedifferentiation (2018)
Malta, Tathiane M.; Noushmehr, Houtan; Carlotti Júnior, Carlos Gilberto; Santos, José Sebastião dos; Kemp, Rafael; Sankarankutty, Ajith Kumar; Tirapelli, Daniela Pretti da Cunha
Source: Cell. Unidade: FMRP
Subjects: GENÔMICA, NEOPLASIAS, CÉLULAS-TRONCO, APRENDIZADO COMPUTACIONAL, ALGORITMOS
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ABNT
MALTA, Tathiane M. et al. Machine learning identifies stemness features associated with oncogenic dedifferentiation. Cell, v. 173, n. 2, p. 338-354.e1-e5, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.cell.2018.03.034. Acesso em: 26 set. 2024.
APA
Malta, T. M., Noushmehr, H., Carlotti Júnior, C. G., Santos, J. S. dos, Kemp, R., Sankarankutty, A. K., & Tirapelli, D. P. da C. (2018). Machine learning identifies stemness features associated with oncogenic dedifferentiation. Cell, 173( 2), 338-354.e1-e5. doi:10.1016/j.cell.2018.03.034
NLM
Malta TM, Noushmehr H, Carlotti Júnior CG, Santos JS dos, Kemp R, Sankarankutty AK, Tirapelli DP da C. Machine learning identifies stemness features associated with oncogenic dedifferentiation [Internet]. Cell. 2018 ; 173( 2): 338-354.e1-e5.[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.cell.2018.03.034
Vancouver
Malta TM, Noushmehr H, Carlotti Júnior CG, Santos JS dos, Kemp R, Sankarankutty AK, Tirapelli DP da C. Machine learning identifies stemness features associated with oncogenic dedifferentiation [Internet]. Cell. 2018 ; 173( 2): 338-354.e1-e5.[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.cell.2018.03.034
Artigo de periodico
Comprehensive characterization of cancer driver genes and mutations (2018)
Bailey, Matthew H.; Noushmehr, Houtan; Carlotti Júnior, Carlos Gilberto; Santos, José Sebastião dos; Kemp, Rafael; Sankarankutty, Ajith Kumar; Tirapelli, Daniela Pretti da Cunha
Source: Cell. Unidade: FMRP
Subjects: NEOPLASIAS, MUTAÇÃO, GENOMAS, BIOINFORMÁTICA, ENTROPIA, ALGORITMOS
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ABNT
BAILEY, Matthew H. et al. Comprehensive characterization of cancer driver genes and mutations. Cell, v. 173, n. 2, p. 371-385.e1-e9, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.cell.2018.02.060. Acesso em: 26 set. 2024.
APA
Bailey, M. H., Noushmehr, H., Carlotti Júnior, C. G., Santos, J. S. dos, Kemp, R., Sankarankutty, A. K., & Tirapelli, D. P. da C. (2018). Comprehensive characterization of cancer driver genes and mutations. Cell, 173( 2), 371-385.e1-e9. doi:10.1016/j.cell.2018.02.060
NLM
Bailey MH, Noushmehr H, Carlotti Júnior CG, Santos JS dos, Kemp R, Sankarankutty AK, Tirapelli DP da C. Comprehensive characterization of cancer driver genes and mutations [Internet]. Cell. 2018 ; 173( 2): 371-385.e1-e9.[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.cell.2018.02.060
Vancouver
Bailey MH, Noushmehr H, Carlotti Júnior CG, Santos JS dos, Kemp R, Sankarankutty AK, Tirapelli DP da C. Comprehensive characterization of cancer driver genes and mutations [Internet]. Cell. 2018 ; 173( 2): 371-385.e1-e9.[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.cell.2018.02.060
Artigo de periodico
Time series clustering via community detection in networks (2016)
Ferreira, Leonardo N
Source: Information Sciences. Unidade: FFCLRP
Subjects: RECONHECIMENTO DE PADRÕES, REDES COMPLEXAS, ALGORITMOS
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ABNT
FERREIRA, Leonardo N. Time series clustering via community detection in networks. Information Sciences, v. 326, p. 227-242, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2015.07.046. Acesso em: 26 set. 2024.
APA
Ferreira, L. N. (2016). Time series clustering via community detection in networks. Information Sciences, 326, 227-242. doi:10.1016/j.ins.2015.07.046
NLM
Ferreira LN. Time series clustering via community detection in networks [Internet]. Information Sciences. 2016 ; 326 227-242.[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.ins.2015.07.046
Vancouver
Ferreira LN. Time series clustering via community detection in networks [Internet]. Information Sciences. 2016 ; 326 227-242.[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.ins.2015.07.046
Artigo de periodico
Analysis of fitness landscape modifications in evolutionary dynamic optimization (2014)
Tinós, Renato; Yang, Shengxiang
Source: Information Sciences. Unidade: FFCLRP
Subjects: INTELIGÊNCIA ARTIFICIAL, ALGORITMOS, SISTEMAS DINÂMICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TINÓS, Renato e YANG, Shengxiang. Analysis of fitness landscape modifications in evolutionary dynamic optimization. Information Sciences, v. 282, p. 214-236, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2014.05.053. Acesso em: 26 set. 2024.
APA
Tinós, R., & Yang, S. (2014). Analysis of fitness landscape modifications in evolutionary dynamic optimization. Information Sciences, 282, 214-236. doi:10.1016/j.ins.2014.05.053
NLM
Tinós R, Yang S. Analysis of fitness landscape modifications in evolutionary dynamic optimization [Internet]. Information Sciences. 2014 ; 282 214-236.[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.ins.2014.05.053
Vancouver
Tinós R, Yang S. Analysis of fitness landscape modifications in evolutionary dynamic optimization [Internet]. Information Sciences. 2014 ; 282 214-236.[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.ins.2014.05.053

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