Leandro Takeshi F. Hattori

According to our database, Leandro Takeshi F. Hattori authored at least 10 papers between 2017 and 2021.

Collaborative distances:

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

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

Predictive Maintenance 4.0 Applied in Electrical Power Systems.

Sophia Boing Righetto, Marcos Aurelio Izumida Martins, Edgar Gerevini Carvalho, Leandro Takeshi Hattori, Silvia de Francisci

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2021

2020

PathMolD-AB: Spatiotemporal pathways of protein folding using parallel molecular dynamics with a coarse-grained model.

Leandro Takeshi Hattori, Bruna Araujo Pinheiro, Rafael Bertolini Frigori, César Manuel Vargas Benítez, Heitor Silvério Lopes

Comput. Biol. Chem., 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

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 deep bidirectional long short-term memory approach applied to the protein secondary structure prediction problem.

Leandro Takeshi F. Hattori, César Manuel Vargas Benítez, Heitor Silvério Lopes

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