Stéfano Frizzo Stefenon
Orcid: 0000-0002-3723-616X
According to our database1,
Stéfano Frizzo Stefenon authored at least 41 papers
between 2019 and 2026.
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Collaborative distances:
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Bibliography
2026
Diffusion-augmented YOLO26-Swin cascaded framework with hybrid SHAP-CAM for autonomous power grid inspection.
Auton. Intell. Syst., December, 2026
A novel YOLO26-MoE optimized by an LLM agent for insulator fault detection considering UAV images.
CoRR, May, 2026
Hybrid Kalman Filter-Kolmogorov-Arnold Network Using Local Interpretable Model-Agnostic Explanations for Photovoltaic Power Forecasting.
SN Comput. Sci., April, 2026
Fourier-enhanced sequence-to-sequence latent graph neural networks for multi-node spatiotemporal forecasting in a hydroelectric reservoir.
Eng. Appl. Artif. Intell., 2026
Multi-Scale Convolutional Chebyshev Kolmogorov-Arnold Networks Using Conformal Prediction for Photovoltaic Power Forecasting.
IEEE Access, 2026
End-to-End Decomposition-Aware Neural Architecture Search With Sparse Expert Transformers for Thermal Energy Forecasting.
IEEE Access, 2026
Patch-Based Transformer With Mixture of Experts and Conformal Inference for Curtailment Time Series Forecasting.
IEEE Access, 2026
Proceedings of the 22nd International Conference on Intelligent Environments, 2026
2025
CNN-TFT explained by SHAP with multi-head attention weights for time series forecasting.
CoRR, October, 2025
Conditional diffusion to enhance performance of object detection in unbalanced data engineering drawings.
Neural Comput. Appl., August, 2025
Time series forecasting based on optimized LLM for fault prediction in distribution power grid insulators.
CoRR, February, 2025
Automatic digitalization of railway interlocking systems engineering drawings based on hybrid machine learning methods.
Expert Syst. Appl., 2025
Neural Hierarchical Interpolation Time Series (NHITS) for Reservoir Level Multi-Horizon Forecasting in Hydroelectric Power Plants.
IEEE Access, 2025
Spatiotemporal Wind Energy Forecasting: A Comprehensive Survey and a Deep Equilibrium-Based Case Study With StemGNN.
IEEE Access, 2025
Enhanced Random Vector Functional Link Networks With Bayesian-Based Hyperparameter Optimization for Wind Speed Forecasting.
IEEE Access, 2025
2024
Enhanced multi-step streamflow series forecasting using hybrid signal decomposition and optimized reservoir computing models.
Expert Syst. Appl., 2024
Variational mode decomposition and bagging extreme learning machine with multi-objective optimization for wind power forecasting.
Appl. Intell., 2024
2023
Sensors, July, 2023
Group Method of Data Handling Using Christiano-Fitzgerald Random Walk Filter for Insulator Fault Prediction.
Sensors, July, 2023
Interpretable visual transmission lines inspections using pseudo-prototypical part network.
Mach. Vis. Appl., May, 2023
Sensors, March, 2023
J. Intell. Fuzzy Syst., 2023
Recency, Frequency, Monetary Value, Clustering, and Internal and External Indices for Customer Segmentation from Retail Data.
Algorithms, 2023
Practical Validation of a New Analytical Method for the Analysis of Power Transmission Lines at Steady State.
IEEE Access, 2023
Proceedings of the AIxIA 2023 - Advances in Artificial Intelligence, 2023
2022
Semi-ProtoPNet Deep Neural Network for the Classification of Defective Power Grid Distribution Structures.
Sensors, 2022
Fault Prediction Based on Leakage Current in Contaminated Insulators Using Enhanced Time Series Forecasting Models.
Sensors, 2022
Comparison of artificial intelligence techniques to failure prediction in contaminated insulators based on leakage current.
J. Intell. Fuzzy Syst., 2022
Long short-term memory stacking model to predict the number of cases and deaths caused by COVID-19.
J. Intell. Fuzzy Syst., 2022
IEEE Access, 2022
Analysis of the Ultrasonic Signal in Polymeric Contaminated Insulators Through Ensemble Learning Methods.
IEEE Access, 2022
2021
Dataset, December, 2021
J. Intell. Fuzzy Syst., 2021
Classification of Contaminated Insulators Using k-Nearest Neighbors Based on Computer Vision.
Comput., 2021
IEEE Access, 2021
IEEE Access, 2021
2020
Optimized Ensemble Extreme Learning Machine for Classification of Electrical Insulators Conditions.
IEEE Trans. Ind. Electron., 2020
2019
J. Intell. Fuzzy Syst., 2019