Antonio Rafael Sabino Parmezan

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 18

Top Topics

Hierarchical Classification

Top Venues

Multim. Tools Appl.

Expert Syst. Appl.

Publications

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) (2024)
Diego Minatel, Antonio Rafael Sabino Parmezan, Mariana Curi, Alneu de Andrade Lopes
DIF-SR: A Differential Item Functioning-Based Sample Reweighting Method. CIARP (2023)
Diego Minatel, Antonio Rafael Sabino Parmezan, Mariana Curi, Alneu de Andrade Lopes
Fairness-Aware Model Selection Using Differential Item Functioning. ICMLA (2023)
Antonio Rafael Sabino Parmezan, Vinicius M. A. Souza, Arpita Seth, Indre Zliobaite, Gustavo E. A. P. A. Batista
Hierarchical classification of pollinating flying insects under changing environments. Ecol. Informatics 70 (2022)
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)
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)
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 (2022)
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) (2021)
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)
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)
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) (2021)
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 (2021)
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)
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 (2019)
Antonio Rafael Sabino Parmezan, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista
Towards Hierarchical Classification of Data Streams. CIARP (2018)
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 (2018)
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 (2017)
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)