Antonio Rafael Sabino Parmezan

Orcid: 0000-0002-1725-132X

According to our database1, Antonio Rafael Sabino Parmezan authored at least 18 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
Fine-tuning pre-trained neural networks for medical image classification in small clinical datasets.
Multim. Tools Appl., March, 2024

2023
Fairness-Aware Model Selection Using Differential Item Functioning.
Proceedings of the International Conference on Machine Learning and Applications, 2023

DIF-SR: A Differential Item Functioning-Based Sample Reweighting Method.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023

2022
Hierarchical classification of pollinating flying insects under changing environments.
Ecol. Informatics, 2022

Time Series Prediction via Similarity Search: Exploring Invariances, Distance Measures and Ensemble Functions.
IEEE Access, 2022

Geographic Context-Based Stacking Learning for Election Prediction from Socio-economic Data.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

Sequential Short-Text Classification from Multiple Textual Representations with Weak Supervision.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021
A video indexing and retrieval computational prototype based on transcribed speech.
Multim. Tools Appl., 2021

Efficient unsupervised drift detector for fast and high-dimensional data streams.
Knowl. Inf. Syst., 2021

Analysing Spatio-Temporal Voting Patterns in Brazilian Elections Through a Simple Data Science Pipeline.
J. Inf. Data Manag., 2021

Automatic recommendation of feature selection algorithms based on dataset characteristics.
Expert Syst. Appl., 2021

A Graph-Based Spatial Cross-Validation Approach for Assessing Models Learned with Selected Features to Understand Election Results.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020
A Combination of Local Approaches for Hierarchical Music Genre Classification.
Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

2019
Evaluation of statistical and machine learning models for time series prediction: Identifying the state-of-the-art and the best conditions for the use of each model.
Inf. Sci., 2019

2018
Dermoscopic assisted diagnosis in melanoma: Reviewing results, optimizing methodologies and quantifying empirical guidelines.
Knowl. Based Syst., 2018

Towards Hierarchical Classification of Data Streams.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

2017
Metalearning for choosing feature selection algorithms in data mining: Proposal of a new framework.
Expert Syst. Appl., 2017

2015
A Study of the Use of Complexity Measures in the Similarity Search Process Adopted by kNN Algorithm for Time Series Prediction.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015


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