Fernando Rezende Zagatti

Orcid: 0000-0002-7083-5789

According to our database1, Fernando Rezende Zagatti authored at least 12 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
An Unsupervised Learning Approach to Validate the Robustness of Octagonal MOSFETs in X-Ray Environments.
IEEE Access, 2026

Software for Automatic Speech Recognition via Whisper models applied to Oral History interviews in the Portuguese language.
Proceedings of the 17th International Conference on Computational Processing of Portuguese, 2026

2025
Investigating the Relationship Between Text Vectorization Cosine Similarity and Classification Performance.
IEEE Access, 2025

Leveraging Large Language Models for Semantic Evaluation of RDF Triples.
Proceedings of the 17th International Joint Conference on Knowledge Discovery, 2025

Suggesting Product Prices in Automotive E-Commerce: A Study Assessing Regression Models and Explicability.
Proceedings of the 17th International Joint Conference on Knowledge Discovery, 2025

2024
Brazilian Portuguese Product Reviews Moderation with AutoML.
Proceedings of the 16th International Conference on Computational Processing of Portuguese, 2024

Unsupervised Statistical Keyword Extraction Pipeline: Is LLM All You Need?
Proceedings of the Intelligent Systems - 34th Brazilian Conference, 2024

2022
mwetoolkit-lib: Adaptation of the mwetoolkit as a Python Library and an Application to MWE-based Document Clustering.
Proceedings of the 18th Workshop on Multiword Expressions, 2022

2021
Committee of NAS-based models.
Proceedings of the International Joint Conference on Neural Networks, 2021

MetaPrep: Data preparation pipelines recommendation via meta-learning.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

CurL-AutoML: Curriculum Learning-based AutoML.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020
Benchmarking Machine Learning Solutions in Production.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020


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