Fault diagnosis of insulators from ultrasound detection using neural networks. - Stéfano Frizzo Stefenon; Marcelo Campos Silva; Douglas Wildgrube Bertol; Luiz Henrique Meyer; Ademir Nied (J. Intell. Fuzzy Syst., 2019)

Optimized Ensemble Extreme Learning Machine for Classification of Electrical Insulators Conditions. - Stéfano Frizzo Stefenon; Rafael Bartnik Grebogi; Roberto Zanetti Freire; Ademir Nied; Luiz Henrique Meyer (IEEE Trans. Ind. Electron., 2020)

Practical Aspects of the Skin Effect in Low Frequencies in Rectangular Conductors. - Sérgio Henrique Lopes Cabral; Sávio L. Bertoli; Alessandro Medeiros; Crisleine Regina Hillesheim; Carolina K. De Souza; Stéfano Frizzo Stefenon; Ademir Nied; Valderi Reis Quietinho Leithardt; Gabriel Villarrubia-González (IEEE Access, 2021)

Hybrid Wavelet Stacking Ensemble Model for Insulators Contamination Forecasting. - Stéfano Frizzo Stefenon; Matheus Henrique Dal Molin Ribeiro; Ademir Nied; Viviana Cocco Mariani; Leandro dos Santos Coelho; Valderi Reis Quietinho Leithardt; Luis Augusto Silva; Laio Oriel Seman (IEEE Access, 2021)

Classification of Contaminated Insulators Using k-Nearest Neighbors Based on Computer Vision. - Marcelo Picolotto Corso; Fábio Luis Perez; Stéfano Frizzo Stefenon; Kin-Choong Yow 001; Raúl García Ovejero; Valderi Reis Quietinho Leithardt (Comput., 2021)

Photovoltaic power forecasting using wavelet Neuro-Fuzzy for active solar trackers. - Stéfano Frizzo Stefenon; Christopher Kasburg; Roberto Zanetti Freire; Fernanda Cristina Silva Ferreira; Douglas Wildgrube Bertol; Ademir Nied (J. Intell. Fuzzy Syst., 2021)

Static Attitude Determination Using Convolutional Neural Networks. - Guilherme Henrique dos Santos; Laio Oriel Seman; Eduardo Augusto Bezerra; Valderi Reis Quietinho Leithardt; André Sales Mendes; Stéfano Frizzo Stefenon (Sensors, 2021)

Inspection of Electrical Power Distribution Grid (South of Brazil). - Stéfano Frizzo Stefenon (IEEE DataPort, 2021)

Analysis of the Ultrasonic Signal in Polymeric Contaminated Insulators Through Ensemble Learning Methods. - Stéfano Frizzo Stefenon; Rafael Bruns; Andreza Sartori; Luiz Henrique Meyer; Raúl García Ovejero; Valderi Reis Quietinho Leithardt (IEEE Access, 2022)

Low-Cost CNN for Automatic Violence Recognition on Embedded System. - Joelton Cezar Vieira; Andreza Sartori; Stéfano Frizzo Stefenon; Fábio Luis Perez; Gabriel Schneider de Jesus; Valderi Reis Quietinho Leithardt (IEEE Access, 2022)

Long short-term memory stacking model to predict the number of cases and deaths caused by COVID-19. - Filipe Fernandes; Stéfano Frizzo Stefenon; Laio Oriel Seman; Ademir Nied; Fernanda Cristina Silva Ferreira; Maria Cristina Mazzetti Subtil; Anne Carolina Rodrigues Klaar; Valderi Reis Quietinho Leithardt (J. Intell. Fuzzy Syst., 2022)

Comparison of artificial intelligence techniques to failure prediction in contaminated insulators based on leakage current. - Alessandro Medeiros; Andreza Sartori; Stéfano Frizzo Stefenon; Luiz Henrique Meyer; Ademir Nied (J. Intell. Fuzzy Syst., 2022)

Wavelet LSTM for Fault Forecasting in Electrical Power Grids. - Nathielle Waldrigues Branco; Mariana Santos Matos Cavalca; Stéfano Frizzo Stefenon; Valderi Reis Quietinho Leithardt (Sensors, 2022)

Fault Prediction Based on Leakage Current in Contaminated Insulators Using Enhanced Time Series Forecasting Models. - Nemesio Fava Sopelsa Neto; Stéfano Frizzo Stefenon; Luiz Henrique Meyer; Raúl García Ovejero; Valderi Reis Quietinho Leithardt (Sensors, 2022)

Semi-ProtoPNet Deep Neural Network for the Classification of Defective Power Grid Distribution Structures. - Stéfano Frizzo Stefenon; Gurmail Singh; Kin Choong Yow 001; Alessandro Cimatti (Sensors, 2022)

Towards Automatic Digitalization of Railway Engineering Schematics. - Stéfano Frizzo Stefenon; Marco Cristoforetti; Alessandro Cimatti (AI*IA, 2023)

Practical Validation of a New Analytical Method for the Analysis of Power Transmission Lines at Steady State. - Sérgio Henrique Lopes Cabral; Stéfano Frizzo Stefenon; Raúl García Ovejero; Valderi Reis Quietinho Leithardt (IEEE Access, 2023)

Recency, Frequency, Monetary Value, Clustering, and Internal and External Indices for Customer Segmentation from Retail Data. - Henrique José Wilbert; Aurélio Faustino Hoppe; Andreza Sartori; Stéfano Frizzo Stefenon; Luis Augusto Silva (Algorithms, 2023)

Complex graph neural networks for medication interaction verification. - Gustavo Westarb; Stéfano Frizzo Stefenon; Aurélio Faustino Hoppe; Andreza Sartori; Anne Carolina Rodrigues Klaar; Valderi Reis Quietinho Leithardt (J. Intell. Fuzzy Syst., 2023)

Machine Fault Detection Using a Hybrid CNN-LSTM Attention-Based Model. - Andressa Borré; Laio Oriel Seman; Eduardo Camponogara; Stéfano Frizzo Stefenon; Viviana Cocco Mariani; Leandro dos Santos Coelho (Sensors, 2023)

Optimized EWT-Seq2Seq-LSTM with Attention Mechanism to Insulators Fault Prediction. - Anne Carolina Rodrigues Klaar; Stéfano Frizzo Stefenon; Laio Oriel Seman; Viviana Cocco Mariani; Leandro dos Santos Coelho (Sensors, 2023)

Interpretable visual transmission lines inspections using pseudo-prototypical part network. - Gurmail Singh; Stéfano Frizzo Stefenon; Kin Choong Yow 001 (Mach. Vis. Appl., 2023)

Group Method of Data Handling Using Christiano-Fitzgerald Random Walk Filter for Insulator Fault Prediction. - Stéfano Frizzo Stefenon; Laio Oriel Seman; Nemesio Fava Sopelsa Neto; Luiz Henrique Meyer; Viviana Cocco Mariani; Leandro dos Santos Coelho (Sensors, 2023)

Video-Based Human Activity Recognition Using Deep Learning Approaches. - Guilherme Augusto Silva Surek; Laio Oriel Seman; Stéfano Frizzo Stefenon; Viviana Cocco Mariani; Leandro dos Santos Coelho (Sensors, 2023)

Variational mode decomposition and bagging extreme learning machine with multi-objective optimization for wind power forecasting. - Matheus Henrique Dal Molin Ribeiro; Ramon Gomes da Silva; Sinvaldo Rodrigues Moreno; Cristiane Canton; José Henrique Kleinübing Larcher; Stéfano Frizzo Stefenon; Viviana Cocco Mariani; Leandro dos Santos Coelho (Appl. Intell., 2024)

Enhanced multi-step streamflow series forecasting using hybrid signal decomposition and optimized reservoir computing models. - José Henrique Kleinübing Larcher; Stéfano Frizzo Stefenon; Leandro dos Santos Coelho; Viviana Cocco Mariani (Expert Syst. Appl., 2024)

Spatiotemporal Wind Energy Forecasting: A Comprehensive Survey and a Deep Equilibrium-Based Case Study With StemGNN. - Luiza Scapinello Aquino da Silva; Laio Oriel Seman; Viviana Cocco Mariani; Leandro dos Santos Coelho; Stéfano Frizzo Stefenon; Gabriel Villarrubia González (IEEE Access, 2025)

Neural Hierarchical Interpolation Time Series (NHITS) for Reservoir Level Multi-Horizon Forecasting in Hydroelectric Power Plants. - Stéfano Frizzo Stefenon; Laio Oriel Seman; Cristina Keiko Yamaguchi; Leandro dos Santos Coelho; Viviana Cocco Mariani; João Pedro Matos-Carvalho; Valderi Reis Quietinho Leithardt (IEEE Access, 2025)

Automatic digitalization of railway interlocking systems engineering drawings based on hybrid machine learning methods. - Stéfano Frizzo Stefenon; Marco Cristoforetti; Alessandro Cimatti (Expert Syst. Appl., 2025)

Time series forecasting based on optimized LLM for fault prediction in distribution power grid insulators. - João Pedro Matos-Carvalho; Stéfano Frizzo Stefenon; Valderi Reis Quietinho Leithardt; Kin Choong Yow 001 (CoRR, 2025)

Conditional diffusion to enhance performance of object detection in unbalanced data engineering drawings. - Stéfano Frizzo Stefenon; Marco Cristoforetti; Alessandro Cimatti (Neural Comput. Appl., 2025)