Mateus Espadoto

Pós-doutorado

Idiomas

Áreas de atuação

Participação em eventos

Participação em bancas

Orientou

Produções bibliográficas

• 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, 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, 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, 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, 2021.

• NAKAZONO, L ; MENDES DE OLIVEIRA, C ; 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 JR., L ; LIMA, E V ; BUZZO, M L ; CORTESI, A . On the discovery of stars, quasars, and galaxies in the Southern Hemisphere with S-PLUS DR2. ROYAL ASTRONOMICAL SOCIETY. MONTHLY NOTICES , v. 507, p. 5847-5868, 2021.

• ESPADOTO, MATEUS ; HIRATA, NINA SUMIKO TOMITA ; TELEA, ALEXANDRU C . Deep learning multidimensional projections. Information Visualization , v. 19, p. 247-269, 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, 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, 2019.

• 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.

• KIM, YOUNGJOO ; ESPADOTO, MATEUS ; TRAGER, SCOTT ; ROERDINK, JOS ; TELEA, ALEXANDRU . SDR-NNP: Sharpened Dimensionality Reduction with Neural Networks. In: 13th International Conference on Information Visualization Theory and Applications, 2022, Online Streaming. Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2022. p. 63.

• OLIVEIRA, ARTUR ; ESPADOTO, MATEUS ; HIRATA JR., ROBERTO ; TELEA, ALEXANDRU . SDBM: Supervised Decision Boundary Maps for Machine Learning Classifiers. In: 13th International Conference on Information Visualization Theory and Applications, 2022, Online Streaming. Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2022. p. 77.

• MARTINAZZO, ANA ; ESPADOTO, MATEUS ; HIRATA, NINA S. T. . Self-supervised Learning for Astronomical Image Classification. In: 2020 25th International Conference on Pattern Recognition (ICPR), 2021, Milan. 2020 25th International Conference on Pattern Recognition (ICPR), 2021. p. 4176.

• ESPADOTO, MATEUS ; HIRATA, NINA ; TELEA, ALEXANDRU . Self-supervised Dimensionality Reduction with Neural Networks and Pseudo-labeling. In: 12th International Conference on Information Visualization Theory and Applications, 2021, Online Streaming. Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2021. p. 27.

• ESPADOTO, MATEUS ; TELEA, ALEXANDRU ; HIRATA, NINA ; RODRIGUES, FRANCISCO . OptMap: Using Dense Maps for Visualizing Multidimensional Optimization Problems. In: 12th International Conference on Information Visualization Theory and Applications, 2021, Online Streaming. Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2021. p. 123.

• ESPADOTO, MATEUS ; HIRATA, NINA ; FALCÃO, ALEXANDRE ; TELEA, ALEXANDRU . Improving Neural Network-based Multidimensional Projections. In: 11th International Conference on Information Visualization Theory and Applications, 2020, Valletta. Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2020. p. 29.

• MARTINAZZO, ANA ; ESPADOTO, MATEUS ; HIRATA, NINA . Deep Learning for Astronomical Object Classification: A Case Study. In: 15th International Conference on Computer Vision Theory and Applications, 2020, Valletta. Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2020. p. 87.

• ESPADOTO, M. ; VERNIER, E. F. ; TELEA, ALEXANDRU CRISTIAN . Selecting and Sharing Multidimensional Projection Algorithms: A Practical View. In: VisGap - The Gap between Visualization Research and Visualization Software, 2020, Online. VisGap - The Gap between Visualization Research and Visualization Software, 2020.

• ESPADOTO, M. ; RODRIGUES, F. C. M. ; HIRATA, N. S. T. ; HIRATA JR, R. ; TELEA, A. C. . Deep Learning Inverse Multidimensional Projections. In: EuroVA: International Workshop on Visual Analytics, 2019, Porto. EuroVis Workshop on Visual Analytics: EuroVA, 2019.

• ESPADOTO, MATEUS ; RODRIGUES, FRANCISCO ; TELEA, ALEXANDRU . Visual Analytics of Multidimensional Projections for Constructing Classifier Decision Boundary Maps. In: 10th International Conference on Information Visualization Theory and Applications, 2019, Prague. Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2019. p. 28.

Prêmios