A convolutional neural network with feature fusion for real-time hand posture recognition SF Chevtchenko, RF Vale, V Macario, FR Cordeiro Applied Soft Computing 73, 748-766, 2018 | 110 | 2018 |
Mechanism of KCl enhancement in detection of nonionic polymers by nanopore sensors CG Rodrigues, DC Machado, SF Chevtchenko, OV Krasilnikov Biophysical journal 95 (11), 5186-5192, 2008 | 99 | 2008 |
Multi-objective optimization for hand posture recognition SF Chevtchenko, RF Vale, V Macario Expert Systems with Applications 92, 170-181, 2018 | 53 | 2018 |
Anomaly Detection in Industrial Machinery using IoT Devices and Machine Learning: a Systematic Mapping SF Chevtchenko, ES Rocha, MCMD Santos, RL Mota, DM Vieira, ... IEEE Access 11, 128288-128305, 2023 | 16 | 2023 |
Combining STDP and binary networks for reinforcement learning from images and sparse rewards SF Chevtchenko, TB Ludermir Neural Networks 144, 496-506, 2021 | 13 | 2021 |
Combining PPO and incremental conductance for MPPT under dynamic shading and temperature SF Chevtchenko, EJ Barbosa, MC Cavalcanti, GMS Azevedo, ... Applied Soft Computing 131, 109748, 2022 | 12 | 2022 |
Detecting people from beach images RL da Silva, S Chevtchenko, AA de Moura, FR Cordeiro, V Macario 2017 IEEE 29th International Conference on Tools with Artificial …, 2017 | 9 | 2017 |
Learning from sparse and delayed rewards with a multilayer spiking neural network SF Chevtchenko, TB Ludermir 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 7 | 2020 |
Deep learning for people detection on beach images S Chevtchenko, R Vale, F Cordeiro, V Macario 2018 7th Brazilian Conference on Intelligent Systems (BRACIS), 218-223, 2018 | 6 | 2018 |
Recognizing handwritten mathematical expressions of vertical addition and subtraction D Rosa, FR Cordeiro, R Carvalho, E Souza, S Chevtchenko, L Rodrigues, ... 2023 36th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 1-6, 2023 | 5 | 2023 |
A neuromorphic architecture for reinforcement learning from real-valued observations SF Chevtchenko, Y Bethi, TB Ludermir, S Afshar 2024 International Joint Conference on Neural Networks (IJCNN), 1-10, 2024 | 3 | 2024 |
Algoritmos de reconhecimento de dígitos para integração de equações manuscritas em sistemas tutores inteligentes S Chevtchenko, LAL Rodrigues, D Rosa, F Cordeiro, R Carvalho, ... Anais, 2023 | 2 | 2023 |
A comparison of RISC and CISC architectures SF Chevtchenko, RF Vale resource 2, 4, 2013 | 2 | 2013 |
Predictive Maintenance Model Based on Anomaly Detection in Induction Motors: A Machine Learning Approach Using Real-Time IoT Data SF Chevtchenko, MCM dos Santos, DM Vieira, RL Mota, E Rocha, ... The 33rd European Safety and Reliability Conference (ESREL 2023), 2023 | 1 | 2023 |
Optimized Pallet Localization Using RGB-D Camera and Deep Learning Models ES Rocha, SF Chevtchenko, LFS Cambuim, RM Macieira 2023 IEEE 19th International Conference on Intelligent Computer …, 2023 | 1 | 2023 |
A study of swimmers detection in beach images RL da Silva, S Chevtchenko, AA de Moura, V Macario, FR Cordeiro rn 2, 2, 2017 | 1 | 2017 |
Handwritten Equation Detection in Disconnected, Low-Cost Mobile Devices E Souza, EL Santos, L Rodrigues, D Rosa, F Cordeiro, C Pereira, ... International Conference on Artificial Intelligence in Education, 132-139, 2024 | | 2024 |
An Optimization Approach for Elementary School Handwritten Mathematical Expression Recognition SF Chevtchenko, R Carvalho, L Rodrigues, E Souza, D Rosa, F Cordeiro, ... International Conference on Artificial Intelligence in Education, 234-241, 2024 | | 2024 |
A Mapping Study of Machine Learning Methods for Remaining Useful Life Estimation of Lead-Acid Batteries SF Chevtchenko, ES Rocha, B Cruz, EC de Andrade, DRB de Araújo arXiv preprint arXiv:2307.05163, 2023 | | 2023 |
Reinforcement learning with spiking neural networks SF CHEVTCHENKO | | 2023 |