Matheus Gutoski

According to our database, Matheus Gutoski authored at least 14 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2023

Unsupervised open-world human action recognition.

Matheus Gutoski, André Eugênio Lazzaretti, Heitor Silvério Lopes

Pattern Anal. Appl., November, 2023

2021

Deep metric learning for open-set human action recognition in videos.

Matheus Gutoski, André Eugênio Lazzaretti, Heitor Silvério Lopes

Neural Comput. Appl., 2021

Incremental human action recognition with dual memory.

Matheus Gutoski, André Eugênio Lazzaretti, Heitor Silvério Lopes

Image Vis. Comput., 2021

A Comparative Study of Transfer Learning Approaches for Video Anomaly Detection.

Matheus Gutoski, Manassés Ribeiro, Leandro Takeshi Hattori, Nelson Marcelo Romero Aquino, André Eugênio Lazzaretti, Heitor S. Lopes

Int. J. Pattern Recognit. Artif. Intell., 2021

OSVidCap: A Framework for the Simultaneous Recognition and Description of Concurrent Actions in Videos in an Open-Set Scenario.

Andrei de Souza Inácio, Matheus Gutoski, André Eugênio Lazzaretti, Heitor Silvério Lopes

IEEE Access, 2021

2020

A benchmark of optimally folded protein structures using integer programming and the 3D-HP-SC model.

Leandro Takeshi F. Hattori, Matheus Gutoski, César Manuel Vargas Benítez, Luiz Fernando Nunes, Heitor Silvério Lopes

Comput. Biol. Chem., 2020

One-Class Classification in Images and Videos Using a Convolutional Autoencoder With Compact Embedding.

Manassés Ribeiro, Matheus Gutoski, André Eugênio Lazzaretti, Heitor S. Lopes

IEEE Access, 2020

2019

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.

Ademir Cristiano Gabardo, Leandro Takeshi F. Hattori, Brenda Cinthya Solari Berno, Matheus Gutoski, Wagner Rodrigues Ulian Agostinho, Heitor Silvério Lopes

CoRR, 2019

Classification of Weeds and Crops at the Pixel-Level Using Convolutional Neural Networks and Data Augmentation.

Anderson Brilhador, Matheus Gutoski, Leandro Takeshi Hattori, Andrei de Souza Inácio, André Eugênio Lazzaretti, Heitor Silvério Lopes

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2019

A Framework for Analyzing Book Covers and Co-purchases using Object Detection and Data Mining Methods.

Brenda Cinthya Solari Berno, Ademir Cristiano Gabardo, Leandro Takeshi Hattori, Matheus Gutoski, Andrei de Souza Inácio, Heitor Silvério Lopes

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2019

2018

A Novel Approach to Protein Folding Prediction based on Long Short-Term Memory Networks: A Preliminary Investigation and Analysis.

Leandro Takeshi F. Hattori, César Manuel Vargas Benítez, Matheus Gutoski, Nelson Marcelo Romero Aquino, Heitor Silvério Lopes

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Feature Selection Using Differential Evolution for Unsupervised Image Clustering.

Matheus Gutoski, Manassés Ribeiro, Nelson Marcelo Romero Aquino, Leandro Takeshi F. Hattori, André Eugênio Lazzaretti, Heitor Silvério Lopes

Proceedings of the Artificial Intelligence and Soft Computing, 2018

2017

A clustering-based deep autoencoder for one-class image classification.

Matheus Gutoski, Manassés Ribeiro, Nelson Marcelo Romero Aquino, André Eugênio Lazzaretti, Heitor Silvério Lopes

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2017

A gene expression programming approach for evolving multi-class image classifiers.

Nelson Marcelo Romero Aquino, Manassés Ribeiro, Matheus Gutoski, César Manuel Vargas Benítez, Heitor Silvério Lopes

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2017