L. D. S. Coelho

Video-Based Human Activity Recognition Using Deep Learning Approaches

L. O. Seman, V. Mariani, S. Stefenon, 2023, Sensors.

Machine Fault Detection Using a Hybrid CNN-LSTM Attention-Based Model

L. O. Seman, E. Camponogara, V. Mariani, 2023, Sensors.

Group Method of Data Handling Using Christiano–Fitzgerald Random Walk Filter for Insulator Fault Prediction

L. O. Seman, Nemesio Fava Sopelsa Neto, V. Mariani, 2023, Sensors.

Clinical Deterioration Prediction in Brazilian Hospitals Based on Artificial Neural Networks and Tree Decision Models

Augusto Silva, M. Guedes, Hugo M. P. Morales, 2022, Proceedings of the 15th International Conference on ICT, Society and Human Beings (ICT 2022), the 19th International Conference Web Based Communities and Social Media (WBCSM 2022) and 14th International Conference on e-Health (EH 2022).

Deep reinforcement learning applied to a sparse-reward trading environment with intraday data

V. Mariani, L. D. S. Coelho, Lucas de Azevedo Takara, 2023, Expert Syst. Appl..

Manta Ray Foraging Optimization Approaches on Multivariable PID Controller Tuning

V. Mariani, L. D. S. Coelho, Luiz Eduardo Soares Emidio da Silva, 2023, 2023 IEEE Congress on Evolutionary Computation (CEC).

Random Convolutional Kernel Transform with Empirical Mode Decomposition for Classification of Insulators from Power Grid

L. O. Seman, V. Mariani, Anne Carolina Rodrigues Klaar, 2024, Sensors.

Decoding Electroencephalography Signal Response by Stacking Ensemble Learning and Adaptive Differential Evolution

Ramon Gomes da Silva, José Henrique Kleinübing Larcher, V. Mariani, 2023, Sensors.

Chaos, Solitons and Fractals

Ramon Gomes da Silva, V. Mariani, M. Ribeiro, 2022 .