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Trabalho de evento-anais periodico
A network-based visual analytics approach for performance evaluation of swarms of robots in the surveillance task (2022)
Linhares, Claudio Douglas Gouveia ; Tinoco, Claudiney Ramos ; Ponciano, Jean Roberto ; Oliveira, Gina Maira Barbosa de; Travençolo, Bruno Augusto Nassif
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: ROBÓTICA, VISÃO COMPUTACIONAL, VISUALIZAÇÃO, REDES COMPLEXAS
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ABNT
LINHARES, Claudio Douglas Gouveia et al. A network-based visual analytics approach for performance evaluation of swarms of robots in the surveillance task. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-21686-2_5. Acesso em: 09 nov. 2024. , 2022
APA
Linhares, C. D. G., Tinoco, C. R., Ponciano, J. R., Oliveira, G. M. B. de, & Travençolo, B. A. N. (2022). A network-based visual analytics approach for performance evaluation of swarms of robots in the surveillance task. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-21686-2_5
NLM
Linhares CDG, Tinoco CR, Ponciano JR, Oliveira GMB de, Travençolo BAN. A network-based visual analytics approach for performance evaluation of swarms of robots in the surveillance task [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13653 61-76.[citado 2024 nov. 09 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_5
Vancouver
Linhares CDG, Tinoco CR, Ponciano JR, Oliveira GMB de, Travençolo BAN. A network-based visual analytics approach for performance evaluation of swarms of robots in the surveillance task [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13653 61-76.[citado 2024 nov. 09 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_5
Trabalho de evento-anais periodico
The use of digital reports to support the visualization and identification of university dropout data (2022)
Santos, Rodolfo Sanches Saraiva dos ; Ponti, Moacir Antonelli ; Rodrigues, Kamila Rios da Hora
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Human-Computer Interaction - HCII. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, VISUALIZAÇÃO, EVASÃO ESCOLAR, SAÚDE MENTAL, UNIVERSIDADE PÚBLICA
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ABNT
SANTOS, Rodolfo Sanches Saraiva dos e PONTI, Moacir Antonelli e RODRIGUES, Kamila Rios da Hora. The use of digital reports to support the visualization and identification of university dropout data. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-06424-1_23. Acesso em: 09 nov. 2024. , 2022
APA
Santos, R. S. S. dos, Ponti, M. A., & Rodrigues, K. R. da H. (2022). The use of digital reports to support the visualization and identification of university dropout data. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-06424-1_23
NLM
Santos RSS dos, Ponti MA, Rodrigues KR da H. The use of digital reports to support the visualization and identification of university dropout data [Internet]. Lecture Notes in Computer Science. 2022 ; 13305 308-323.[citado 2024 nov. 09 ] Available from: https://doi.org/10.1007/978-3-031-06424-1_23
Vancouver
Santos RSS dos, Ponti MA, Rodrigues KR da H. The use of digital reports to support the visualization and identification of university dropout data [Internet]. Lecture Notes in Computer Science. 2022 ; 13305 308-323.[citado 2024 nov. 09 ] Available from: https://doi.org/10.1007/978-3-031-06424-1_23
Artigo de periodico
Getting over high-dimensionality: how multidimensional projection methods can assist data science (2022)
Ortigossa, Evandro Scudeleti ; Dias, Fabio Felix ; Nascimento, Diego Carvalho do
Source: Applied Sciences. Unidade: ICMC
Subjects: DESCOBERTA DE CONHECIMENTO, VISUALIZAÇÃO
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ABNT
ORTIGOSSA, Evandro Scudeleti e DIAS, Fabio Felix e NASCIMENTO, Diego Carvalho do. Getting over high-dimensionality: how multidimensional projection methods can assist data science. Applied Sciences, v. 12, n. 13, p. 1-36, 2022Tradução . . Disponível em: https://doi.org/10.3390/app12136799. Acesso em: 09 nov. 2024.
APA
Ortigossa, E. S., Dias, F. F., & Nascimento, D. C. do. (2022). Getting over high-dimensionality: how multidimensional projection methods can assist data science. Applied Sciences, 12( 13), 1-36. doi:10.3390/app12136799
NLM
Ortigossa ES, Dias FF, Nascimento DC do. Getting over high-dimensionality: how multidimensional projection methods can assist data science [Internet]. Applied Sciences. 2022 ; 12( 13): 1-36.[citado 2024 nov. 09 ] Available from: https://doi.org/10.3390/app12136799
Vancouver
Ortigossa ES, Dias FF, Nascimento DC do. Getting over high-dimensionality: how multidimensional projection methods can assist data science [Internet]. Applied Sciences. 2022 ; 12( 13): 1-36.[citado 2024 nov. 09 ] Available from: https://doi.org/10.3390/app12136799
Artigo de periodico
Multilevel coarsening for interactive visualization of large bipartite networks (2022)
Valejo, Alan Demetrius Baria ; Fabbri, Renato ; Lopes, Alneu de Andrade ; Liang, Zhao; Oliveira, Maria Cristina Ferreira de
Source: Frontiers in Research Metrics and Analytics. Unidades: ICMC, FFCLRP
Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, VISUALIZAÇÃO
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ABNT
VALEJO, Alan Demetrius Baria et al. Multilevel coarsening for interactive visualization of large bipartite networks. Frontiers in Research Metrics and Analytics, v. 7, p. 1-18, 2022Tradução . . Disponível em: https://doi.org/10.3389/frma.2022.855165. Acesso em: 09 nov. 2024.
APA
Valejo, A. D. B., Fabbri, R., Lopes, A. de A., Liang, Z., & Oliveira, M. C. F. de. (2022). Multilevel coarsening for interactive visualization of large bipartite networks. Frontiers in Research Metrics and Analytics, 7, 1-18. doi:10.3389/frma.2022.855165
NLM
Valejo ADB, Fabbri R, Lopes A de A, Liang Z, Oliveira MCF de. Multilevel coarsening for interactive visualization of large bipartite networks [Internet]. Frontiers in Research Metrics and Analytics. 2022 ; 7 1-18.[citado 2024 nov. 09 ] Available from: https://doi.org/10.3389/frma.2022.855165
Vancouver
Valejo ADB, Fabbri R, Lopes A de A, Liang Z, Oliveira MCF de. Multilevel coarsening for interactive visualization of large bipartite networks [Internet]. Frontiers in Research Metrics and Analytics. 2022 ; 7 1-18.[citado 2024 nov. 09 ] Available from: https://doi.org/10.3389/frma.2022.855165
Artigo de periodico
Visual active learning for labeling: a case for soundscape ecology data (2021)
Huancapaza, Liz ; Ribeiro, Milton Cezar ; Minghim, Rosane
Source: Information. Unidade: ICMC
Subjects: VISUALIZAÇÃO, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, SOM, MONITORAMENTO BIOLÓGICO
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ABNT
HUANCAPAZA, Liz e RIBEIRO, Milton Cezar e MINGHIM, Rosane. Visual active learning for labeling: a case for soundscape ecology data. Information, v. 12, n. 7, p. 1-17, 2021Tradução . . Disponível em: https://doi.org/10.3390/info12070265. Acesso em: 09 nov. 2024.
APA
Huancapaza, L., Ribeiro, M. C., & Minghim, R. (2021). Visual active learning for labeling: a case for soundscape ecology data. Information, 12( 7), 1-17. doi:10.3390/info12070265
NLM
Huancapaza L, Ribeiro MC, Minghim R. Visual active learning for labeling: a case for soundscape ecology data [Internet]. Information. 2021 ; 12( 7): 1-17.[citado 2024 nov. 09 ] Available from: https://doi.org/10.3390/info12070265
Vancouver
Huancapaza L, Ribeiro MC, Minghim R. Visual active learning for labeling: a case for soundscape ecology data [Internet]. Information. 2021 ; 12( 7): 1-17.[citado 2024 nov. 09 ] Available from: https://doi.org/10.3390/info12070265
Artigo de periodico
NE-Motion: visual analysis of stroke patients using motion sensor networks (2021)
Contreras, Rodrigo Colnago ; Parnandi, Avinash ; Coelho, Bruno Gomes ; Silva, Claudio ; Schambra, Heidi ; Nonato, Luis Gustavo
Source: Sensors. Unidade: ICMC
Subjects: TEORIA DOS CONJUNTOS, VISUALIZAÇÃO, ACIDENTE VASCULAR CEREBRAL
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ABNT
CONTRERAS, Rodrigo Colnago et al. NE-Motion: visual analysis of stroke patients using motion sensor networks. Sensors, v. 21, p. 1-22, 2021Tradução . . Disponível em: https://doi.org/10.3390/s21134482. Acesso em: 09 nov. 2024.
APA
Contreras, R. C., Parnandi, A., Coelho, B. G., Silva, C., Schambra, H., & Nonato, L. G. (2021). NE-Motion: visual analysis of stroke patients using motion sensor networks. Sensors, 21, 1-22. doi:10.3390/s21134482
NLM
Contreras RC, Parnandi A, Coelho BG, Silva C, Schambra H, Nonato LG. NE-Motion: visual analysis of stroke patients using motion sensor networks [Internet]. Sensors. 2021 ; 21 1-22.[citado 2024 nov. 09 ] Available from: https://doi.org/10.3390/s21134482
Vancouver
Contreras RC, Parnandi A, Coelho BG, Silva C, Schambra H, Nonato LG. NE-Motion: visual analysis of stroke patients using motion sensor networks [Internet]. Sensors. 2021 ; 21 1-22.[citado 2024 nov. 09 ] Available from: https://doi.org/10.3390/s21134482
Artigo de periodico
Random forest similarity maps: a scalable visual representation for global and local interpretation (2021)
Mazumdar, Dipankar ; Popolin Neto, Mário ; Paulovich, Fernando Vieira
Source: Electronics. Unidade: ICMC
Subjects: VISUALIZAÇÃO, APRENDIZADO COMPUTACIONAL
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ABNT
MAZUMDAR, Dipankar e POPOLIN NETO, Mário e PAULOVICH, Fernando Vieira. Random forest similarity maps: a scalable visual representation for global and local interpretation. Electronics, v. 10, p. 1-20, 2021Tradução . . Disponível em: https://doi.org/10.3390/electronics10222862. Acesso em: 09 nov. 2024.
APA
Mazumdar, D., Popolin Neto, M., & Paulovich, F. V. (2021). Random forest similarity maps: a scalable visual representation for global and local interpretation. Electronics, 10, 1-20. doi:10.3390/electronics10222862
NLM
Mazumdar D, Popolin Neto M, Paulovich FV. Random forest similarity maps: a scalable visual representation for global and local interpretation [Internet]. Electronics. 2021 ; 10 1-20.[citado 2024 nov. 09 ] Available from: https://doi.org/10.3390/electronics10222862
Vancouver
Mazumdar D, Popolin Neto M, Paulovich FV. Random forest similarity maps: a scalable visual representation for global and local interpretation [Internet]. Electronics. 2021 ; 10 1-20.[citado 2024 nov. 09 ] Available from: https://doi.org/10.3390/electronics10222862
Artigo de periodico
An improved local search genetic algorithm with a new mapped adaptive operator applied to pseudo-coloring problem (2020)
Viana, Monique Simplicio ; Morandin Junior, Orides ; Contreras, Rodrigo Colnago
Source: Symmetry. Unidade: ICMC
Subjects: ALGORITMOS GENÉTICOS, VISUALIZAÇÃO, HEURÍSTICA
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ABNT
VIANA, Monique Simplicio e MORANDIN JUNIOR, Orides e CONTRERAS, Rodrigo Colnago. An improved local search genetic algorithm with a new mapped adaptive operator applied to pseudo-coloring problem. Symmetry, v. 12, n. 10, p. 1-36, 2020Tradução . . Disponível em: https://doi.org/10.3390/sym12101684. Acesso em: 09 nov. 2024.
APA
Viana, M. S., Morandin Junior, O., & Contreras, R. C. (2020). An improved local search genetic algorithm with a new mapped adaptive operator applied to pseudo-coloring problem. Symmetry, 12( 10), 1-36. doi:10.3390/sym12101684
NLM
Viana MS, Morandin Junior O, Contreras RC. An improved local search genetic algorithm with a new mapped adaptive operator applied to pseudo-coloring problem [Internet]. Symmetry. 2020 ; 12( 10): 1-36.[citado 2024 nov. 09 ] Available from: https://doi.org/10.3390/sym12101684
Vancouver
Viana MS, Morandin Junior O, Contreras RC. An improved local search genetic algorithm with a new mapped adaptive operator applied to pseudo-coloring problem [Internet]. Symmetry. 2020 ; 12( 10): 1-36.[citado 2024 nov. 09 ] Available from: https://doi.org/10.3390/sym12101684
Trabalho de evento-anais periodico
A new local search adaptive genetic algorithm for the pseudo-coloring problem (2020)
Contreras, Rodrigo Colnago ; Morandin Junior, Orides ; Viana, Monique Simplicio
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Swarm Intelligence - ICSI. Unidade: ICMC
Subjects: ALGORITMOS GENÉTICOS, VISUALIZAÇÃO, PROCESSAMENTO DE IMAGENS
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ABNT
CONTRERAS, Rodrigo Colnago e MORANDIN JUNIOR, Orides e VIANA, Monique Simplicio. A new local search adaptive genetic algorithm for the pseudo-coloring problem. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-53956-6_31. Acesso em: 09 nov. 2024. , 2020
APA
Contreras, R. C., Morandin Junior, O., & Viana, M. S. (2020). A new local search adaptive genetic algorithm for the pseudo-coloring problem. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-53956-6_31
NLM
Contreras RC, Morandin Junior O, Viana MS. A new local search adaptive genetic algorithm for the pseudo-coloring problem [Internet]. Lecture Notes in Computer Science. 2020 ; 12145 349-361.[citado 2024 nov. 09 ] Available from: https://doi.org/10.1007/978-3-030-53956-6_31
Vancouver
Contreras RC, Morandin Junior O, Viana MS. A new local search adaptive genetic algorithm for the pseudo-coloring problem [Internet]. Lecture Notes in Computer Science. 2020 ; 12145 349-361.[citado 2024 nov. 09 ] Available from: https://doi.org/10.1007/978-3-030-53956-6_31
Artigo de periodico
Exploring neural network hidden layer activity using vector fields (2020)
Cantareira, Gabriel Dias ; Etemad, Elham; Paulovich, Fernando Vieira
Source: Information. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, VISUALIZAÇÃO
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ABNT
CANTAREIRA, Gabriel Dias e ETEMAD, Elham e PAULOVICH, Fernando Vieira. Exploring neural network hidden layer activity using vector fields. Information, v. 11, n. 9, p. Se 2020, 2020Tradução . . Disponível em: https://doi.org/10.3390/info11090426. Acesso em: 09 nov. 2024.
APA
Cantareira, G. D., Etemad, E., & Paulovich, F. V. (2020). Exploring neural network hidden layer activity using vector fields. Information, 11( 9), Se 2020. doi:10.3390/info11090426
NLM
Cantareira GD, Etemad E, Paulovich FV. Exploring neural network hidden layer activity using vector fields [Internet]. Information. 2020 ; 11( 9): Se 2020.[citado 2024 nov. 09 ] Available from: https://doi.org/10.3390/info11090426
Vancouver
Cantareira GD, Etemad E, Paulovich FV. Exploring neural network hidden layer activity using vector fields [Internet]. Information. 2020 ; 11( 9): Se 2020.[citado 2024 nov. 09 ] Available from: https://doi.org/10.3390/info11090426
Trabalho de evento-anais periodico
Topological street-network characterization through feature-vector and cluster analysis (2018)
Spadon, Gabriel; Gimenes, Gabriel; Rodrigues Junior, José Fernando
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Computational Science - ICCS. Unidade: ICMC
Subjects: REDES COMPLEXAS, VISUALIZAÇÃO, RECONHECIMENTO DE PADRÕES, RUAS E AVENIDAS
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ABNT
SPADON, Gabriel e GIMENES, Gabriel e RODRIGUES JUNIOR, José Fernando. Topological street-network characterization through feature-vector and cluster analysis. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-93698-7_21. Acesso em: 09 nov. 2024. , 2018
APA
Spadon, G., Gimenes, G., & Rodrigues Junior, J. F. (2018). Topological street-network characterization through feature-vector and cluster analysis. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-319-93698-7_21
NLM
Spadon G, Gimenes G, Rodrigues Junior JF. Topological street-network characterization through feature-vector and cluster analysis [Internet]. Lecture Notes in Computer Science. 2018 ; 10860 274-287.[citado 2024 nov. 09 ] Available from: https://doi.org/10.1007/978-3-319-93698-7_21
Vancouver
Spadon G, Gimenes G, Rodrigues Junior JF. Topological street-network characterization through feature-vector and cluster analysis [Internet]. Lecture Notes in Computer Science. 2018 ; 10860 274-287.[citado 2024 nov. 09 ] Available from: https://doi.org/10.1007/978-3-319-93698-7_21
Trabalho de evento-anais periodico
A distance-based tool-set to track inconsistent urban structures through complex-networks (2018)
Spadon, Gabriel; Machado, Bruno Brandoli; Eler, Danilo Medeiros; Rodrigues Junior, José Fernando
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Computational Science - ICCS. Unidade: ICMC
Subjects: REDES COMPLEXAS, VISUALIZAÇÃO, RECONHECIMENTO DE PADRÕES, PLANEJAMENTO TERRITORIAL URBANO
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ABNT
SPADON, Gabriel et al. A distance-based tool-set to track inconsistent urban structures through complex-networks. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-93698-7_22. Acesso em: 09 nov. 2024. , 2018
APA
Spadon, G., Machado, B. B., Eler, D. M., & Rodrigues Junior, J. F. (2018). A distance-based tool-set to track inconsistent urban structures through complex-networks. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-319-93698-7_22
NLM
Spadon G, Machado BB, Eler DM, Rodrigues Junior JF. A distance-based tool-set to track inconsistent urban structures through complex-networks [Internet]. Lecture Notes in Computer Science. 2018 ; 10860 288-301.[citado 2024 nov. 09 ] Available from: https://doi.org/10.1007/978-3-319-93698-7_22
Vancouver
Spadon G, Machado BB, Eler DM, Rodrigues Junior JF. A distance-based tool-set to track inconsistent urban structures through complex-networks [Internet]. Lecture Notes in Computer Science. 2018 ; 10860 288-301.[citado 2024 nov. 09 ] Available from: https://doi.org/10.1007/978-3-319-93698-7_22
Parte de monografia/livro
An offline–online visual framework for clustering memes in social media (2017)
Dang, Anh; Moh'd, Abidalrahman; Gruzd, Anatoliy; Milios, Evangelos; Minghim, Rosane
Source: From social data mining and analysis to prediction and community detection. Unidade: ICMC
Subjects: COMPUTAÇÃO GRÁFICA, VISUALIZAÇÃO, MÍDIAS SOCIAIS
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ABNT
DANG, Anh et al. An offline–online visual framework for clustering memes in social media. From social data mining and analysis to prediction and community detection. Tradução . Cham: Springer, 2017. . Disponível em: https://doi.org/10.1007/978-3-319-51367-6_1. Acesso em: 09 nov. 2024.
APA
Dang, A., Moh'd, A., Gruzd, A., Milios, E., & Minghim, R. (2017). An offline–online visual framework for clustering memes in social media. In From social data mining and analysis to prediction and community detection. Cham: Springer. doi:10.1007/978-3-319-51367-6_1
NLM
Dang A, Moh'd A, Gruzd A, Milios E, Minghim R. An offline–online visual framework for clustering memes in social media [Internet]. In: From social data mining and analysis to prediction and community detection. Cham: Springer; 2017. [citado 2024 nov. 09 ] Available from: https://doi.org/10.1007/978-3-319-51367-6_1
Vancouver
Dang A, Moh'd A, Gruzd A, Milios E, Minghim R. An offline–online visual framework for clustering memes in social media [Internet]. In: From social data mining and analysis to prediction and community detection. Cham: Springer; 2017. [citado 2024 nov. 09 ] Available from: https://doi.org/10.1007/978-3-319-51367-6_1

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