Vinícius M. A. de Souza

发表

Time Series Transductive Classification on Imbalanced Data Sets: An Experimental Study

Celso André R. de Sousa, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista, 2014, 2014 22nd International Conference on Pattern Recognition.

Unsupervised active learning techniques for labeling training sets: An experimental evaluation on sequential data

Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista, Rafael Geraldeli Rossi, 2017, Intell. Data Anal..

Exploring Low Cost Laser Sensors to Identify Flying Insect Species

Daniel P. W. Ellis, Eamonn J. Keogh, Vinícius M. A. de Souza, 2015, J. Intell. Robotic Syst..

A Fuzzy Classifier for Data Streams with Infinitely Delayed Labels

Heloisa A. Camargo, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista, 2018, CIARP.

Classification of Evolving Data Streams with Infinitely Delayed Labels

João Gama, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

Automatic classification of drum sounds with indefinite pitch

Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista, Nilson E. Souza-Filho, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Data Stream Classification Guided by Clustering on Nonstationary Environments and Extreme Verification Latency

João Gama, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista, 2015, SDM.

Extracting Texture Features for Time Series Classification

Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista, Diego Furtado Silva, 2014, 2014 22nd International Conference on Pattern Recognition.

Análise automática de aspectos relacionados a coerência semântica em resumos acadêmicos (Automatic Analysis of Semantic Coherence Aspects in Academic Abstracts) [in Portuguese]

Vinícius M. A. de Souza, Valéria Delisandra Feltrim, 2011, STIL.

Uma Investigação sobre Algoritmos de Diferentes Abordagens de Aprendizado Supervisionado na Classificação de Papéis Retóricos em Resumos Científicos (Investigating Algorithms from Different Approaches of Supervised Learning for the Classification of Rhetorical Roles in Scientific Abstracts) [in Port

Vinícius M. A. de Souza, Valéria Delisandra Feltrim, 2013, STIL.

Towards Automatic Evaluation of Asphalt Irregularity Using Smartphone's Sensors

Vinícius M. A. de Souza, Everton Alvares Cherman, Rafael Geraldeli Rossi, 2017, IDA.

An experimental analysis on time series transductive classification on graphs

Celso André R. de Sousa, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Asfault: A low-cost system to evaluate pavement conditions in real-time using smartphones and machine learning

Vinícius M. A. de Souza, Rafael Giusti, Antonio J. L. Batista, 2018, Pervasive Mob. Comput..

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

Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista, Antonio Rafael Sabino Parmezan, 2019, Inf. Sci..

A coherence analysis module for SciPo: providing suggestions for scientific abstracts written in Portuguese

Vinícius M. A. de Souza, Valéria Delisandra Feltrim, 2012, Journal of the Brazilian Computer Society.

Classification of Data Streams Applied to Insect Recognition: Initial Results

Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista, Diego Furtado Silva, 2013, 2013 Brazilian Conference on Intelligent Systems.

Effective insect recognition using a stacked autoencoder with maximum correntropy criterion

José Carlos Príncipe, Yu Qi, Yueming Wang, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

EmbML Tool: Supporting the use of Supervised Learning Algorithms in Low-Cost Embedded Systems

Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista, Lucas Tsutsui da Silva, 2019, ICTAI.

Time Series Classification Using Compression Distance of Recurrence Plots

Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista, Diego Furtado Silva, 2013, 2013 IEEE 13th International Conference on Data Mining.

Towards Hierarchical Classification of Data Streams

Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista, Antonio Rafael Sabino Parmezan, 2018, CIARP.

Music Shapelets for Fast Cover Song Recognition

Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista, Diego Furtado Silva, 2015, ISMIR.

Identifying Aedes aegypti Mosquitoes by Sensors and One-Class Classifiers

Vinícius M. A. de Souza, Vinicius M. A. Souza, 2016, CIARP.

Automatic Analysis of Semantic Coherence in Academic Abstracts Written in Portuguese

Vinícius M. A. de Souza, Valéria Delisandra Feltrim, 2011, IJCNLP.

Spoken Digit Recognition in Portuguese Using Line Spectral Frequencies

Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista, Diego Furtado Silva, 2012, IBERAMIA.

Classification of non-stationary data stream with application in sensors for insect identification

Vinícius M. A. de Souza, 2016 .

Applying Machine Learning and Audio Analysis Techniques to Insect Recognition in Intelligent Traps

Daniel P. W. Ellis, Eamonn J. Keogh, Vinícius M. A. de Souza, 2013, 2013 12th International Conference on Machine Learning and Applications.

CID: an efficient complexity-invariant distance for time series

Eamonn J. Keogh, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista, 2013, Data Mining and Knowledge Discovery.

Asphalt pavement classification using smartphone accelerometer and Complexity Invariant Distance

Vinícius M. A. de Souza, Vinicius M. A. Souza, 2018, Eng. Appl. Artif. Intell..