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ORCIDMatheus Gutoski
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Journal Articles
- 2023
[j7]Matheus Gutoski, André Eugênio Lazzaretti
, Heitor Silvério Lopes:
Unsupervised open-world human action recognition. Pattern Anal. Appl. 26(4): 1753-1770 (2023)- 2021
- [j6]Andrei de Souza Inácio, Matheus Gutoski, André Eugênio Lazzaretti, Heitor Silvério Lopes:
OSVidCap: A Framework for the Simultaneous Recognition and Description of Concurrent Actions in Videos in an Open-Set Scenario. IEEE Access 9: 137029-137041 (2021) - [j5]Matheus Gutoski, Manassés Ribeiro, Leandro Takeshi Hattori, Nelson Marcelo Romero Aquino, André Eugênio Lazzaretti, Heitor S. Lopes:
A Comparative Study of Transfer Learning Approaches for Video Anomaly Detection. Int. J. Pattern Recognit. Artif. Intell. 35(5): 2152003:1-2152003:27 (2021) - [j4]Matheus Gutoski, André Eugênio Lazzaretti, Heitor Silvério Lopes:
Incremental human action recognition with dual memory. Image Vis. Comput. 116: 104313 (2021) - [j3]Matheus Gutoski, André Eugênio Lazzaretti, Heitor Silvério Lopes:
Deep metric learning for open-set human action recognition in videos. Neural Comput. Appl. 33(4): 1207-1220 (2021) - 2020
- [j2]Manassés Ribeiro, Matheus Gutoski, André Eugênio Lazzaretti, Heitor S. Lopes:
One-Class Classification in Images and Videos Using a Convolutional Autoencoder With Compact Embedding. IEEE Access 8: 86520-86535 (2020) - [j1]Leandro Takeshi F. Hattori, Matheus Gutoski, César Manuel Vargas Benítez, Luiz Fernando Nunes, Heitor Silvério Lopes:
A benchmark of optimally folded protein structures using integer programming and the 3D-HP-SC model. Comput. Biol. Chem. 84: 107192 (2020)
Conference and Workshop Papers
- 2019
- [c6]Brenda Cinthya Solari Berno, Ademir Cristiano Gabardo, Leandro Takeshi Hattori, Matheus Gutoski, Andrei de Souza Inácio, Heitor Silvério Lopes:
A Framework for Analyzing Book Covers and Co-purchases using Object Detection and Data Mining Methods. LA-CCI 2019: 1-6 - [c5]Anderson Brilhador, Matheus Gutoski, Leandro Takeshi Hattori, Andrei de Souza Inácio, André Eugênio Lazzaretti, Heitor Silvério Lopes:
Classification of Weeds and Crops at the Pixel-Level Using Convolutional Neural Networks and Data Augmentation. LA-CCI 2019: 1-6 - 2018
- [c4]Matheus Gutoski, Manassés Ribeiro, Nelson Marcelo Romero Aquino, Leandro Takeshi F. Hattori, André Eugênio Lazzaretti, Heitor Silvério Lopes:
Feature Selection Using Differential Evolution for Unsupervised Image Clustering. ICAISC (1) 2018: 376-385 - [c3]Leandro Takeshi F. Hattori, César Manuel Vargas Benítez, Matheus Gutoski, Nelson Marcelo Romero Aquino, Heitor Silvério Lopes:
A Novel Approach to Protein Folding Prediction based on Long Short-Term Memory Networks: A Preliminary Investigation and Analysis. IJCNN 2018: 1-8 - 2017
- [c2]Nelson Marcelo Romero Aquino, Manassés Ribeiro, Matheus Gutoski, César Manuel Vargas Benítez, Heitor Silvério Lopes:
A gene expression programming approach for evolving multi-class image classifiers. LA-CCI 2017: 1-6 - [c1]Matheus Gutoski, Manassés Ribeiro, Nelson Marcelo Romero Aquino, André Eugênio Lazzaretti, Heitor Silvério Lopes:
A clustering-based deep autoencoder for one-class image classification. LA-CCI 2017: 1-6
Informal and Other Publications
- 2019
- [i1]Ademir Cristiano Gabardo, Leandro Takeshi F. Hattori, Brenda Cinthya Solari Berno, Matheus Gutoski, Wagner Rodrigues Ulian Agostinho, Heitor Silvério Lopes:
Como Mensurar a Importância, Influência e a Relevância de Usuários do Twitter? Uma análise da interação dos candidatos à presidência do Brasil nas eleições de 2018. CoRR abs/1902.11197 (2019)
Coauthor Index
aka: Heitor S. Lopes
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