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Antonio Rafael Sabino Parmezan
Antonio Rafael Sabino Parmezan
Andere namenAntonio R. S. Parmezan, Antonio Parmezan
Postdoctoral Researcher, Institute of Mathematics and Computer Science, University of São Paulo
Geverifieerd e-mailadres voor usp.br - Homepage
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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
ARS Parmezan, VMA Souza, GE Batista
Information Sciences 484, 302-337, 2019
2472019
Metalearning for choosing feature selection algorithms in data mining: Proposal of a new framework
ARS Parmezan, HD Lee, FC Wu
Expert Systems with Applications 75, 1-24, 2017
552017
Dermoscopic assisted diagnosis in melanoma: Reviewing results, optimizing methodologies and quantifying empirical guidelines
HD Lee, AI Mendes, N Spolaor, JT Oliva, ARS Parmezan, FC Wu, ...
Knowledge-Based Systems 158, 9-24, 2018
312018
A study of the use of complexity measures in the similarity search process adopted by kNN algorithm for time series prediction
ARS Parmezan, GEAPA Batista
Machine Learning and Applications (ICMLA), 2015 IEEE 14th International …, 2015
282015
Automatic recommendation of feature selection algorithms based on dataset characteristics
ARS Parmezan, HD Lee, N Spolaôr, FC Wu
Expert Systems with Applications 185, 115589, 2021
242021
Towards Hierarchical Classification of Data Streams
ARS Parmezan, VMA Souza, GE Batista
Iberoamerican Congress on Pattern Recognition, 314-322, 2018
172018
Changes in the wing-beat frequency of bees and wasps depending on environmental conditions: a study with optical sensors
ARS Parmezan, V Souza, I Žliobaitė, GE Batista
Apidologie 52 (4), 731-748, 2021
152021
ICMC-USP Time Series Prediction Repository
ARS Parmezan, GEAPA Batista
Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo …, 2014
142014
Efficient unsupervised drift detector for fast and high-dimensional data streams
VMA Souza, ARS Parmezan, FA Chowdhury, A Mueen
Knowledge and Information Systems 63 (6), 1497-1527, 2021
112021
Descrição de Modelos Estatísticos e de Aprendizado de Máquina para Predição de Séries Temporais
ARS Parmezan, GEAPA Batista
Relatório Técnico, Universidade de São Paulo, São Carlos, 1-96, 2016
72016
Predição de séries temporais por similaridade
ARS Parmezan
Dissertação (Mestrado em Ciências de Computação e Matemática Computacional …, 2016
72016
A video indexing and retrieval computational prototype based on transcribed speech
N Spolaôr, HD Lee, WSR Takaki, LA Ensina, ARS Parmezan, JT Oliva, ...
Multimedia Tools and Applications 80 (25), 33971-34017, 2021
62021
A Combination of Local Approaches for Hierarchical Music Genre Classification
ARS Parmezan, DF Silva, GE Batista
International Society for Music Information Retrieval Conference, 740-747, 2020
62020
Estudo de Medidas de Importância e Algoritmos para Seleção de Atributos para Mineração de Dados
ARS Parmezan, FC Wu, HD Lee
XX Encontro Anual de Iniciação Científica (EAIC), 1-4, 2011
52011
Time Series Prediction via Similarity Search: Exploring Invariances, Distance Measures and Ensemble Functions
ARS Parmezan, VMA Souza, GE Batista
IEEE Access 10, 78022-78043, 2022
42022
Analyzing spatio-temporal voting patterns in Brazilian elections through a simple data science pipeline
LHM Jacintho, TP da Silva, ARS Parmezan, G Batista
Journal of Information and Data Management 12 (1), 31-47, 2021
42021
Avaliação de Métodos para Seleção de Atributos Importantes para Aprendizado de Máquina Supervisionado no Processo de Mineração de Dados
ARS Parmezan, HD Lee, N Spolaôr, FC Wu
Relatório Técnico, Universidade Estadual do Oeste do Paraná, Foz do Iguaçu, 1-58, 2012
42012
Estudo Preliminar da Construção de um Modelo de Recomendação de Algoritmos de Seleção de Atributos utilizando Meta-Aprendizado
ARS Parmezan, HD Lee, FC Wu
XX Simpósio Internacional de Iniciação Científica da Universidade de São …, 2012
42012
Hierarchical classification of pollinating flying insects under changing environments
ARS Parmezan, VMA Souza, A Seth, I Žliobaitė, GE Batista
Ecological Informatics 70, 101751, 2022
32022
A Graph-Based Spatial Cross-Validation Approach for Assessing Models Learned with Selected Features to Understand Election Results
TP Da Silva, ARS Parmezan, GE Batista
2021 20th IEEE International Conference on Machine Learning and Applications …, 2021
32021
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Artikelen 1–20