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ORCIDAntonio Rafael Sabino Parmezan
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2020 – today
- 2024
[j10]Newton Spolaôr
, Huei Diana Lee, Ana Isabel Mendes, Conceição Veloso Nogueira, Antonio Rafael Sabino Parmezan, Weber Shoity Resende Takaki, Cláudio Saddy Rodrigues Coy, Feng Chung Wu, Rui Fonseca-Pinto:
Fine-tuning pre-trained neural networks for medical image classification in small clinical datasets. Multim. Tools Appl. 83(9): 27305-27329 (2024)- 2023
- [c8]Diego Minatel, Antonio Rafael Sabino Parmezan, Mariana Curi, Alneu de Andrade Lopes:
DIF-SR: A Differential Item Functioning-Based Sample Reweighting Method. CIARP 2023: 630-645 - [c7]Diego Minatel, Antonio Rafael Sabino Parmezan, Mariana Curi, Alneu de Andrade Lopes:
Fairness-Aware Model Selection Using Differential Item Functioning. ICMLA 2023: 1971-1978 - 2022
- [j9]Antonio Rafael Sabino Parmezan, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista:
Time Series Prediction via Similarity Search: Exploring Invariances, Distance Measures and Ensemble Functions. IEEE Access 10: 78022-78043 (2022) - [j8]Antonio Rafael Sabino Parmezan, Vinícius M. A. de Souza, Arpita Seth, Indre Zliobaite, Gustavo E. A. P. A. Batista:
Hierarchical classification of pollinating flying insects under changing environments. Ecol. Informatics 70: 101751 (2022) - [c6]Ivan J. Reis Filho, Luiz H. D. Martins, Antonio Rafael Sabino Parmezan, Ricardo M. Marcacini, Solange O. Rezende:
Sequential Short-Text Classification from Multiple Textual Representations with Weak Supervision. BRACIS (1) 2022: 165-179 - [c5]Tiago Pinho da Silva, Antonio Rafael Sabino Parmezan, Gustavo E. A. P. A. Batista:
Geographic Context-Based Stacking Learning for Election Prediction from Socio-economic Data. BRACIS (1) 2022: 641-656 - 2021
- [j7]Antonio Rafael Sabino Parmezan, Huei Diana Lee, Newton Spolaôr, Feng Chung Wu:
Automatic recommendation of feature selection algorithms based on dataset characteristics. Expert Syst. Appl. 185: 115589 (2021) - [j6]L. H. M. Jacintho, Tiago Pinho da Silva, Antonio Rafael Sabino Parmezan, Gustavo E. A. P. A. Batista:
Analysing Spatio-Temporal Voting Patterns in Brazilian Elections Through a Simple Data Science Pipeline. J. Inf. Data Manag. 12(1) (2021) - [j5]Vinícius M. A. de Souza, Antonio Rafael Sabino Parmezan, Farhan Asif Chowdhury, Abdullah Mueen:
Efficient unsupervised drift detector for fast and high-dimensional data streams. Knowl. Inf. Syst. 63(6): 1497-1527 (2021) - [j4]Newton Spolaôr, Huei Diana Lee, Weber Shoity Resende Takaki, Leandro Augusto Ensina, Antonio Rafael Sabino Parmezan, Jefferson Tales Oliva, Cláudio Saddy Rodrigues Coy, Feng Chung Wu:
A video indexing and retrieval computational prototype based on transcribed speech. Multim. Tools Appl. 80(25): 33971-34017 (2021) - [c4]Tiago Pinho da Silva, Antonio Rafael Sabino Parmezan, Gustavo E. A. P. A. Batista:
A Graph-Based Spatial Cross-Validation Approach for Assessing Models Learned with Selected Features to Understand Election Results. ICMLA 2021: 909-915 - 2020
- [c3]Antonio Rafael Sabino Parmezan, Diego Furtado Silva, Gustavo E. A. P. A. Batista:
A Combination of Local Approaches for Hierarchical Music Genre Classification. ISMIR 2020: 740-747
2010 – 2019
- 2019
- [j3]Antonio Rafael Sabino Parmezan, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista:
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. 484: 302-337 (2019) - 2018
- [j2]Huei Diana Lee, Ana Isabel Mendes, Newton Spolaôr, Jefferson Tales Oliva, Antonio Rafael Sabino Parmezan, Feng Chung Wu, Rui Fonseca-Pinto:
Dermoscopic assisted diagnosis in melanoma: Reviewing results, optimizing methodologies and quantifying empirical guidelines. Knowl. Based Syst. 158: 9-24 (2018) - [c2]Antonio Rafael Sabino Parmezan, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista:
Towards Hierarchical Classification of Data Streams. CIARP 2018: 314-322 - 2017
- [j1]Antonio Rafael Sabino Parmezan, Huei Diana Lee, Feng Chung Wu:
Metalearning for choosing feature selection algorithms in data mining: Proposal of a new framework. Expert Syst. Appl. 75: 1-24 (2017) - 2015
- [c1]Antonio Rafael Sabino Parmezan, Gustavo E. A. P. A. Batista:
A Study of the Use of Complexity Measures in the Similarity Search Process Adopted by kNN Algorithm for Time Series Prediction. ICMLA 2015: 45-51
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