Detecting People from Beach Images. - Ricardo Luna da Silva; Sérgio F. Chevtchenko; Allan Alves de Moura; Filipe Rolim Cordeiro; Valmir Macario (ICTAI, 2017)

Deep Learning for People Detection on Beach Images. - Sérgio F. Chevtchenko; Rafaella F. Vale; Filipe R. Cordeiro; Valmir Macario (BRACIS, 2018)

A convolutional neural network with feature fusion for real-time hand posture recognition. - Sérgio F. Chevtchenko; Rafaella F. Vale; Valmir Macario; Filipe R. Cordeiro (Appl. Soft Comput., 2018)

Multi-objective optimization for hand posture recognition. - Sérgio F. Chevtchenko; Rafaella F. Vale; Valmir Macario (Expert Syst. Appl., 2018)

Learning from Sparse and Delayed Rewards with a Multilayer Spiking Neural Network. - Sérgio F. Chevtchenko; Teresa Bernarda Ludermir (IJCNN, 2020)

Combining STDP and binary networks for reinforcement learning from images and sparse rewards. - Sérgio F. Chevtchenko; Teresa Bernarda Ludermir (Neural Networks, 2021)

Combining PPO and incremental conductance for MPPT under dynamic shading and temperature. - Sérgio F. Chevtchenko; Eduardo J. Barbosa; Marcelo Cabral Cavalcanti; Gustavo Medeiros de Souza Azevedo; Teresa Bernarda Ludermir (Appl. Soft Comput., 2022)

Optimized Pallet Localization Using RGB-D Camera and Deep Learning Models. - Élisson da Silva Rocha; Sérgio F. Chevtchenko; Lucas F. S. Cambuim; Rafael M. Macieira (ICCP, 2023)

Recognizing Handwritten Mathematical Expressions of Vertical Addition and Subtraction. - Daniel Carneiro Rosa; Filipe R. Cordeiro; Ruan Carvalho; Everton Souza; Sérgio F. Chevtchenko; Luiz Rodrigues 001; Marcelo Marinho; Thales Vieira; Valmir Macario (SIBGRAPI, 2023)

Anomaly Detection in Industrial Machinery Using IoT Devices and Machine Learning: A Systematic Mapping. - Sérgio F. Chevtchenko; Élisson da Silva Rocha; Monalisa Cristina Moura dos Santos; Ricardo Lins Mota; Diego Moura Vieira; Ermeson Carneiro de Andrade; Danilo Ricardo Barbosa de Araújo (IEEE Access, 2023)

A Mapping Study of Machine Learning Methods for Remaining Useful Life Estimation of Lead-Acid Batteries. - Sérgio F. Chevtchenko; Élisson da Silva Rocha; Bruna V. Cruz; Ermeson Carneiro de Andrade; Danilo Ricardo Barbosa de Araújo (CoRR, 2023)

Predictive Maintenance Model Based on Anomaly Detection in Induction Motors: A Machine Learning Approach Using Real-Time IoT Data. - Sérgio F. Chevtchenko; Monalisa Cristina Moura dos Santos; Diego Moura Vieira; Ricardo Lins Mota; Élisson Rocha; Bruna V. Cruz; Danilo Araújo; Ermeson Carneiro de Andrade (CoRR, 2023)

An Optimization Approach for Elementary School Handwritten Mathematical Expression Recognition. - Sérgio F. Chevtchenko; Ruan Carvalho; Luiz A. L. Rodrigues; Everton Souza; Daniel Carneiro Rosa; Filipe R. Cordeiro; Cicero Pereira; Thales Vieira; Marcelo Marinho; Diego Dermeval; Ig Ibert Bittencourt; Seiji Isotani; et al. (AIED Companion (2), 2024)

Handwritten Equation Detection in Disconnected, Low-Cost Mobile Devices. - Everton Souza; Ermesson L. dos Santos; Luiz A. L. Rodrigues; Daniel Carneiro Rosa; Filipe R. Cordeiro; Cicero Pereira; Sérgio F. Chevtchenko; Ruan Carvalho; Thales Vieira; Marcelo Marinho; Diego Dermeval; Ig Ibert Bittencourt; et al. (AIED Companion (2), 2024)

A Neuromorphic Architecture for Reinforcement Learning from Real-Valued Observations. - Sérgio F. Chevtchenko; Yeshwanth Bethi; Teresa Bernarda Ludermir; Saeed Afshar (IJCNN, 2024)

An End-to-End Approach for Child Reading Assessment in the Xhosa Language. - Sérgio F. Chevtchenko; Nikhil Navas; Rafaella Vale; Franco Ubaudi; Sipumelele Lucwaba; Cally Ardington; Soheil Afshar; Mark Antoniou; Saeed Afshar (AIED (1), 2025)

Drone-Based Sound Source Localization: A Systematic Literature Review. - Sérgio F. Chevtchenko; Belman Jahir Rodríguez; Rafaella Vale; Abishek Soti; Yeshwanth Bethi; Naqib Ibnul; Alexandre Marcireau; Mostafa Rahimi Azghadi; Andrew Wabnitz; Saeed Afshar (IEEE Access, 2025)