Matheus Gutoski

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 14

Top Topics

Gene Expression Programming

Metric Learning

Protein Folding

Anomaly Detection

Top Venues

Int. J. Pattern Recognit. Artif. Intell.

Publications

Matheus Gutoski, André Eugênio Lazzaretti, Heitor Silvério Lopes
Unsupervised open-world human action recognition. Pattern Anal. Appl. 26 (4) (2023)
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) (2021)
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 (2021)
Matheus Gutoski, André Eugênio Lazzaretti, Heitor Silvério Lopes
Deep metric learning for open-set human action recognition in videos. Neural Comput. Appl. 33 (4) (2021)
Matheus Gutoski, André Eugênio Lazzaretti, Heitor Silvério Lopes
Incremental human action recognition with dual memory. Image Vis. Comput. 116 (2021)
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 (2020)
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 (2020)
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)
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)
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 (2019)
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)
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)
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)
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)