CVNLP PPI: Residência em TIC 13 - Heterogeneous Computing for Computational Vision and Natural Language Processing - Programas e Projetos Prioritários (PPI) - MCTI, Softex
Mateus Espadoto
Doutor em Ciência da Computação pelo Instituto de Matemática e Estatística, Universidade de São Paulo (IME-USP) e pela Universidade de Groningen. Pesquisador nas áreas de Machine Learning, Redução de Dimensionalidade e Visualização de Dados. (Texto informado pelo autor)
APPLEBY, G. ; ESPADOTO, M. ; CHEN, R. ; GOREE, S. ; TELEA, A. C. ; ANDERSON, E. W. ; CHANG, R.. HyperNP: Interactive Visual Exploration of Multidimensional Projection Hyperparameters. COMPUTER GRAPHICS FORUM. v. 41, p. 169-181, issn: 0167-7055, 2022.
TIAN, Z. ; ZHAI, X. ; STEENPAAL, G. V. ; YU, L. ; DIMARA, E. ; ESPADOTO, M. ; TELEA, A. C.. Quantitative and Qualitative Comparison of 2D and 3D Projection Techniques for High-Dimensional Data. INFORMATION. v. 12, p. 239, issn: 2078-2489, 2021.
ESPADOTO, MATEUS; APPLEBY, GABRIEL ; SUH, ASHLEY ; CASHMAN, DYLAN ; LI, MINGWEI ; SCHEIDEGGER, CARLOS E ; ANDERSON, ERIK WESLEY ; CHANG, REMCO ; TELEA, ALEXANDRU CRISTIAN. UnProjection: Leveraging Inverse-Projections for Visual Analytics of High-Dimensional Data. Ieee Transactions On Visualization And Computer Graphics. v. 1, p. 1-1, issn: 1941-0506, 2021.
TIAN, ZONGLIN ; ZHAI, XIAORUI ; VAN DRIEL, DAAN ; VAN STEENPAAL, GIJS ; ESPADOTO, MATEUS ; TELEA, ALEXANDRU. Using multiple attribute-based explanations of multidimensional projections to explore high-dimensional data. COMPUTERS & GRAPHICS-UK. v. 98, p. 93-104, issn: 0097-8493, 2021.
NAKAZONO, L ; DE OLIVEIRA, C MENDES ; HIRATA, N S T ; JERAM, S ; QUEIROZ, C ; EIKENBERRY, STEPHEN S ; GONZALEZ, A H ; ABRAMO, R ; OVERZIER, R ; ESPADOTO, M ; MARTINAZZO, A ; SAMPEDRO, L ; HERPICH, F R ; ALMEIDA-FERNANDES, F ; WERLE, A ; BARBOSA, C E ; SODRÉ, L ; LIMA, E V ; BUZZO, M L ; CORTESI, A ; et.al. On the discovery of stars, quasars, and galaxies in the Southern Hemisphere with S-PLUS DR2. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY. v. 507, p. 5847-5868, issn: 1365-2966, 2021.
ESPADOTO, MATEUS ; HIRATA, NINA SUMIKO TOMITA ; TELEA, ALEXANDRU C. Deep learning multidimensional projections. Information Visualization. v. 19, p. 147387162090948, issn: 1473-8716, 2020.
ESPADOTO, MATEUS; KERREN, ANDREAS ; HIRATA, NINA S. T. ; TELEA, ALEXANDRU CRISTIAN. Towards a Quantitative Survey of Dimension Reduction Techniques. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS. v. 1, p. 1-1, issn: 1077-2626, 2019.
RODRIGUES, FRANCISCO C. M. ; ESPADOTO, MATEUS ; HIRATA, ROBERTO ; TELEA, ALEXANDRU C.. Constructing and Visualizing High-Quality Classifier Decision Boundary Maps. INFORMATION. v. 10, p. 280-301, issn: 2078-2489, 2019.
Livros publicados/organizados ou edições (1)
Modrakowski, Terri S. ; ESPADOTO, MATEUS ; FALCÃO, ALEXANDRE ; HIRATA, NINA S. T. ; TELEA, ALEXANDRU C.. Computer Vision, Imaging and Computer Graphics Theory and Applications. 1 ed. Springer International Publishing, 2022. .
Capítulos de livros publicados (0)
Textos em jornais de notícias/revistas (0)
Trabalhos completos publicados em anais de congressos (10)
KIM, YOUNGJOO ; ESPADOTO, MATEUS ; TRAGER, SCOTT ; ROERDINK, JOS ; TELEA, ALEXANDRU. SDR-NNP: Sharpened Dimensionality Reduction with Neural Networks. Em: 13th International Conference on Information Visualization Theory and Applications, p. 63, 2022.
OLIVEIRA, ARTUR ; ESPADOTO, MATEUS ; HIRATA JR., ROBERTO ; TELEA, ALEXANDRU. SDBM: Supervised Decision Boundary Maps for Machine Learning Classifiers. Em: 13th International Conference on Information Visualization Theory and Applications IVAPP, p. 77-87, 2022.
MARTINAZZO, ANA ; ESPADOTO, MATEUS ; HIRATA, NINA S. T.. Self-supervised Learning for Astronomical Image Classification. Em: 2020 25th International Conference on Pattern Recognition (ICPR), p. 4176, 2021.
ESPADOTO, MATEUS ; HIRATA, NINA ; TELEA, ALEXANDRU. Self-supervised Dimensionality Reduction with Neural Networks and Pseudo-labeling. Em: 12th International Conference on Information Visualization Theory and Applications, p. 27, 2021.
ESPADOTO, MATEUS ; RODRIGUES, FRANCISCO ; HIRATA, NINA ; TELEA, ALEXANDRU. OptMap: Using Dense Maps for Visualizing Multidimensional Optimization Problems. Em: 12th International Conference on Information Visualization Theory and Applications, p. 123, 2021.
TELEA, ALEXANDRU ; ESPADOTO, MATEUS ; FALCÃO, ALEXANDRE ; HIRATA, NINA. Improving Neural Network-based Multidimensional Projections. Em: 11th International Conference on Information Visualization Theory and Applications, p. 29-41, 2020.
MARTINAZZO, ANA ; ESPADOTO, MATEUS ; HIRATA, NINA. Deep Learning for Astronomical Object Classification: A Case Study. Em: 15th International Conference on Computer Vision Theory and Applications, p. 87-95, 2020.
ESPADOTO, M.; VERNIER, E. F. ; TELEA, ALEXANDRU CRISTIAN. Selecting and Sharing Multidimensional Projection Algorithms: A Practical View. Em: VisGap - The Gap between Visualization Research and Visualization Software, 2020.
ESPADOTO, M. ; RODRIGUES, FRANCISCO CAIO MAIA ; HIRATA JR., R. ; TELEA, ALEXANDRU CRISTIAN. Deep Learning Inverse Multidimensional Projections. Em: EuroVA: International Workshop on Visual Analytics, v. 1, p. 1-10, 2019.
ESPADOTO, MATEUS; RODRIGUES, FRANCISCO ; TELEA, ALEXANDRU. Visual Analytics of Multidimensional Projections for Constructing Classifier Decision Boundary Maps. Em: 10th International Conference on Information Visualization Theory and Applications, p. 28, 2019.
Resumos expandidos publicados em anais de congressos (0)
Resumos publicados em anais de congressos (0)
Artigos aceitos para publicação (0)
Apresentações de trabalho (0)
Demais tipos de produção bibliográfica (0)
Produção técnica
Programas de computador com registro (0)
Programas de computador sem registro (0)
Produtos tecnológicos (0)
Processos ou técnicas (0)
Trabalhos técnicos (0)
Demais tipos de produção técnica (0)
Produção artística
Total de produção artística (0)
Orientações em andamento
Supervisão de pós-doutorado (0)
Tese de doutorado (0)
Dissertação de mestrado (0)
Monografia de conclusão de curso de aperfeiçoamento/especialização (0)
Trabalho de conclusão de curso de graduação (0)
Iniciação científica (0)
Orientações de outra natureza (0)
Supervisões e orientações concluídas
Supervisão de pós-doutorado (0)
Tese de doutorado (0)
Dissertação de mestrado (1)
Terri S. Modrakowski. Visual Analytics for Improving Deep Learning Multidimensional Projections. Dissertação (Mestrado em Computer Science) - Utrecht University, . 2020. Supervisor: Mateus Espadoto.
Monografia de conclusão de curso de aperfeiçoamento/especialização (0)
Trabalho de conclusão de curso de graduação (1)
Jonas Arilho Levy. Using Deep Learning to Detect Galaxy Mergers. (Graduação em Ciências de Computação) - Universidade de São Paulo, . 2019. Orientador: Mateus Espadoto.
Iniciação científica (0)
Orientações de outra natureza (0)
Projetos de pesquisa
Total de projetos de pesquisa (0)
Prêmios e títulos
Total de prêmios e títulos (8)
IVAPP 2022 Best Paper Award - SDR-NNP: Sharpened Dimensionality Reduction with Neural Networks, INSTICC.. 2022. Membro: Mateus Espadoto.
IVAPP 2022 Best Student Paper Award - SDBM: Supervised Decision Boundary Maps for Machine Learning Classifiers, INSTICC.. 2022. Membro: Mateus Espadoto.
Indicado para o Prêmio CAPES Teses 2022, Comissão Coordenadora de Programa (CCP) - Ciência da Computação, IME-USP.. 2022. Membro: Mateus Espadoto.
Indicado para o Prêmio Teses Destaque USP 2022, Comissão Coordenadora de Programa (CCP) - Ciência da Computação, IME-USP.. 2022. Membro: Mateus Espadoto.
IVAPP 2021 Best Student Paper Award - OptMap: Using Dense Maps for Visualizing Multidimensional Optimization Problems, INSTICC.. 2021. Membro: Mateus Espadoto.
Finalista IVAPP 2021 Best Student Paper Award: Self-Supervised Dimensionality Reduction with Neural Networks and Pseudo-Labeling, INSTICC.. 2021. Membro: Mateus Espadoto.
Finalista IVAPP 2020 Best Paper Award - Improving Neural Network-based Multidimensional Projections, INSTICC.. 2020. Membro: Mateus Espadoto.
IVAPP 2019 Best Paper Award - Visual Analytics of Multidimensional Projections for Constructing Classifier Decision Boundary Maps, INSTICC.. 2019. Membro: Mateus Espadoto.
Participação em eventos
Total de participação em eventos (7)
12th International Conference on Information Visualization Theory and Applications. Self-Supervised Dimensionality Reduction with Neural Networks and Pseudo-Labeling. 2021. (Congresso).
12th International Conference on Information Visualization Theory and Applications. OptMap: Using Dense Maps for Visualizing Multidimensional Optimization Problems. 2021. (Congresso).
11th International Conference on Information Visualization Theory and Applications. Improving Neural Network-based Multidimensional Projections. 2020. (Congresso).
15th International Conference on Computer Vision Theory and Applications. Deep Learning for Astronomical Object Classification: A Case Study. 2020. (Congresso).
VisGap - The Gap between Visualization Research and Visualization Software. Selecting and Sharing Multidimensional Projection Algorithms: A Practical View. 2020. (Congresso).
10th International Conference on Information Visualization Theory and Applications. Visual Analytics of Multidimensional Projections for Constructing Classifier Decision Boundary Maps. 2019. (Congresso).
EuroVA: International Workshop on Visual Analytics. Deep Learning Inverse Multidimensional Projections. 2019. (Congresso).
NAKAZONO, L ; DE OLIVEIRA, C MENDES ; HIRATA, N S T ; JERAM, S ; QUEIROZ, C ; EIKENBERRY, STEPHEN S ; GONZALEZ, A H ; ABRAMO, R ; OVERZIER, R ; ESPADOTO, M ; MARTINAZZO, A ; SAMPEDRO, L ; HERPICH, F R ; ALMEIDA-FERNANDES, F ; WERLE, A ; BARBOSA, C E ; SODRÉ, L ; LIMA, E V ; BUZZO, M L ; CORTESI, A ; et.al. On the discovery of stars, quasars, and galaxies in the Southern Hemisphere with S-PLUS DR2. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY. v. 507, p. 5847-5868, issn: 1365-2966, 2021.
ESPADOTO, MATEUS ; HIRATA, NINA SUMIKO TOMITA ; TELEA, ALEXANDRU C. Deep learning multidimensional projections. Information Visualization. v. 19, p. 147387162090948, issn: 1473-8716, 2020.
ESPADOTO, MATEUS ; HIRATA, NINA ; TELEA, ALEXANDRU. Self-supervised Dimensionality Reduction with Neural Networks and Pseudo-labeling. Em: 12th International Conference on Information Visualization Theory and Applications, p. 27, 2021.
ESPADOTO, MATEUS ; RODRIGUES, FRANCISCO ; HIRATA, NINA ; TELEA, ALEXANDRU. OptMap: Using Dense Maps for Visualizing Multidimensional Optimization Problems. Em: 12th International Conference on Information Visualization Theory and Applications, p. 123, 2021.
MARTINAZZO, ANA ; ESPADOTO, MATEUS ; HIRATA, NINA S. T.. Self-supervised Learning for Astronomical Image Classification. Em: 2020 25th International Conference on Pattern Recognition (ICPR), p. 4176, 2021.
MARTINAZZO, ANA ; ESPADOTO, MATEUS ; HIRATA, NINA. Deep Learning for Astronomical Object Classification: A Case Study. Em: 15th International Conference on Computer Vision Theory and Applications, p. 87-95, 2020.
TELEA, ALEXANDRU ; ESPADOTO, MATEUS ; FALCÃO, ALEXANDRE ; HIRATA, NINA. Improving Neural Network-based Multidimensional Projections. Em: 11th International Conference on Information Visualization Theory and Applications, p. 29-41, 2020.
ESPADOTO, M. ; RODRIGUES, FRANCISCO CAIO MAIA ; HIRATA JR., R. ; TELEA, ALEXANDRU CRISTIAN. Deep Learning Inverse Multidimensional Projections. Em: EuroVA: International Workshop on Visual Analytics, v. 1, p. 1-10, 2019.
RODRIGUES, FRANCISCO C. M. ; ESPADOTO, MATEUS ; HIRATA, ROBERTO ; TELEA, ALEXANDRU C.. Constructing and Visualizing High-Quality Classifier Decision Boundary Maps. INFORMATION. v. 10, p. 280-301, issn: 2078-2489, 2019.
OLIVEIRA, ARTUR ; ESPADOTO, MATEUS ; HIRATA JR., ROBERTO ; TELEA, ALEXANDRU. SDBM: Supervised Decision Boundary Maps for Machine Learning Classifiers. Em: 13th International Conference on Information Visualization Theory and Applications IVAPP, p. 77-87, 2022.
ESPADOTO, M. ; RODRIGUES, FRANCISCO CAIO MAIA ; HIRATA JR., R. ; TELEA, ALEXANDRU CRISTIAN. Deep Learning Inverse Multidimensional Projections. Em: EuroVA: International Workshop on Visual Analytics, v. 1, p. 1-10, 2019.