Leopoldo Lusquino Filho

According to our database, Leopoldo Lusquino Filho authored at least 20 papers between 2018 and 2026.

Collaborative distances:

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

2026

METBRA25Y: Brazil Surface Meteorology Archive with Harmonized Variables and Quality Control.

Matheus Lima Castro, William Dantas Vichete, Leopoldo Lusquino Filho

CoRR, May, 2026

Brazilian Social Media Anti-vaccine Information Disorder Dataset - Telegram (2020-2025).

João Phillipe Cardenuto, Ana Carolina Monari, Michelle Diniz Lopes, Leopoldo Lusquino Filho, Anderson Rocha

CoRR, January, 2026

A Dataset of Dengue Hospitalizations in Brazil (1999 to 2021) with Weekly Disaggregation from Monthly Counts.

Lucas M. Morello, Matheus Lima Castro, Pedro Cesar M. G. Camargo, Liliane Moreira Nery, Darllan Collins da Cunha e Silva, Leopoldo Lusquino Filho

CoRR, January, 2026

Ensemble machine learning-based stopping rule for greedy randomized adaptive search procedure.

Guilherme Caeiro de Mattos, Leopoldo A. D. Lusquino Filho, Luidi Gelabert Simonetti, Priscila Machado Vieira Lima

RAIRO Oper. Res., 2026

Multi-Scenario Causal Discovery for Time-Series Analysis in Dynamic Systems.

Ahmed Esmin, Manuel Castro, Bruno César De Oliveira Souza, Augusto Lustosa, Pedro Ribeiro Mendes Júnior, Rafael de Oliveira Werneck, Maiara Moreira Gonçalves, Leopoldo Lusquino Filho, Marcelo Ferreira Zampieri, Oscar Linares, Valdir Estevam, Elayne Morais, Denis José Schiozer, Leonardo Machado, Alexandre Ferreira, Alessandra Davólio, Anderson Rocha

IEEE Access, 2026

2025

Time series forecasting for multidimensional telemetry data using GAN and BiLSTM in a Digital Twin.

Joao Carmo de Almeida Neto, Claudio Miceli de Farias, Leandro Santiago de Araújo, Leopoldo A. D. Lusquino Filho

CoRR, January, 2025

Time series forecasting for multidimensional telemetry data based on Generative Adversarial Network in a Digital Twin.

Joao Carmo de Almeida Neto, Leandro Santiago de Araújo, Leopoldo A. D. Lusquino Filho, Claudio Miceli de Farias

J. Comput. Sci., 2025

Gait Phase Classification using Deep Neural Networks with Weighted Cross-Entropy Loss for handling Imbalanced Classes.

Cesar A. M. Da Silva, Amanda B. Camilotti, Elisa G. Vergamini, Thiago Boaventura, Leopoldo Lusquino Filho, Felix M. Escalante Ortega

Proceedings of the IEEE International Conference on Advanced Robotics, 2025

2024

A multi-modal approach for mixed-frequency time series forecasting.

Leopoldo Lusquino Filho, Rafael de Oliveira Werneck, Manuel Castro, Pedro Ribeiro Mendes Júnior, Augusto Lustosa, Marcelo Ferreira Zampieri, Oscar Linares, Renato Moura, Elayne Morais, Murilo Amaral, Soroor Salavati, Ashish Loomba, Ahmed Esmin, Maiara Moreira Gonçalves, Denis José Schiozer, Alexandre Ferreira, Alessandra Davólio, Anderson Rocha

Neural Comput. Appl., December, 2024

2023

WiSARD-based Ensemble Learning.

Leopoldo Lusquino Filho, Felipe M. G. França, Priscila Lima

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

2021

LCAD - UFES at FakeDeS 2021: Fake News Detection Using Named Entity Recognition and Part-of-Speech Sequences.

Marcos A. Spalenza, Leopoldo Lusquino Filho, Felipe M. G. França, Priscila M. V. Lima, Elias de Oliveira

Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2021) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2021), 2021

2020

Extending the weightless WiSARD classifier for regression.

Leopoldo Lusquino Filho, Luiz F. R. Oliveira, Aluizio Lima Filho, Gabriel P. Guarisa, Lucca M. Felix, Priscila M. V. Lima, Felipe M. G. França

Neurocomputing, 2020

wisardpkg - A library for WiSARD-based models.

Aluizio S. Lima Filho, Gabriel P. Guarisa, Leopoldo Lusquino Filho, Luiz F. R. Oliveira, Felipe M. G. França, Priscila M. V. Lima

CoRR, 2020

Using NER + ML to Automatically Detect Fake News.

Marcos A. Spalenza, Elias de Oliveira, Leopoldo Lusquino Filho, Priscila M. V. Lima, Felipe M. G. França

Proceedings of the Intelligent Systems Design and Applications, 2020

Regression WiSARD application of controller on DC STATCOM converter under fault conditions.

Raphael N. C. B. Rocha, Leopoldo Lusquino Filho, Mauricio Aredes, Felipe M. G. França, Priscila M. V. Lima

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

A weightless regression system for predicting multi-modal empathy.

Leopoldo A. D. Lusquino Filho, Luiz F. R. Oliveira, Hugo C. C. Carneiro, Gabriel P. Guarisa, Aluizio Lima Filho, Felipe M. G. França, Priscila M. V. Lima

Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020

Interpretation of Model Agnostic Classifiers via Local Mental Images.

Aluizio Lima Filho, Gabriel P. Guarisa, Leopoldo Lusquino Filho, Luiz F. R. Oliveira, Carlos Alberto Nunes Cosenza, Felipe M. G. França, Priscila M. V. Lima

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

Action Units Classification Using ClusWiSARD.

Leopoldo Lusquino Filho, Gabriel Antoine Louis Paillard, Luiz F. R. Oliveira, Aluizio Lima Filho, Felipe M. G. França, Priscila M. V. Lima

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

Prediction of palm oil production with an enhanced n-Tuple Regression Network.

Leopoldo Lusquino Filho, Luiz F. R. Oliveira, Aluizio S. Lima Filho, Gabriel P. Guarisa, Priscila Machado Vieira Lima, Felipe Maia Galvão França

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2018

Near-optimal facial emotion classification using a WiSARD-based weightless system.

Leopoldo Lusquino Filho, Felipe M. G. França, Priscila M. V. Lima

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018