Automatic Analysis of Semantic Coherence in Academic Abstracts Written in Portuguese. - Vinícius Mourão Alves de Souza; Valéria Delisandra Feltrim (IJCNLP, 2011)

Análise automática de aspectos relacionados a coerência semântica em resumos acadêmicos (Automatic Analysis of Semantic Coherence Aspects in Academic Abstracts) [in Portuguese]. - Vinícius Mourão Alves de Souza; Valéria Delisandra Feltrim (STIL, 2011)

Spoken Digit Recognition in Portuguese Using Line Spectral Frequencies. - Diego Furtado Silva; Vinícius M. A. de Souza; Gustavo E. A. P. A. Batista; Rafael Giusti (IBERAMIA, 2012)

Classification of Data Streams Applied to Insect Recognition: Initial Results. - Vinícius M. A. de Souza; Diego Furtado Silva; Gustavo E. A. P. A. Batista (BRACIS, 2013)

Time Series Classification Using Compression Distance of Recurrence Plots. - Diego Furtado Silva; Vinícius M. A. de Souza; Gustavo E. A. P. A. Batista (ICDM, 2013)

Applying Machine Learning and Audio Analysis Techniques to Insect Recognition in Intelligent Traps. - Diego Furtado Silva; Vinícius M. A. de Souza; Gustavo E. A. P. A. Batista; Eamonn J. Keogh; Daniel P. W. Ellis (ICMLA (1), 2013)

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 Portuguese]. - Vinícius M. A. de Souza; Valéria Delisandra Feltrim (STIL, 2013)

A coherence analysis module for SciPo: providing suggestions for scientific abstracts written in Portuguese. - Vinícius Mourão Alves de Souza; Valéria Delisandra Feltrim (J. Braz. Comput. Soc., 2013)

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 (ICPR, 2014)

Extracting Texture Features for Time Series Classification. - Vinícius M. A. de Souza; Diego Furtado Silva; Gustavo E. A. P. A. Batista (ICPR, 2014)

CID: an efficient complexity-invariant distance for time series. - Gustavo E. A. P. A. Batista; Eamonn J. Keogh; Oben Moses Tataw; Vinícius M. A. de Souza (Data Min. Knowl. Discov., 2014)

Classification of Evolving Data Streams with Infinitely Delayed Labels. - Vinícius M. A. de Souza; Diego Furtado Silva; Gustavo E. A. P. A. Batista; João Gama 001 (ICMLA, 2015)

Effective insect recognition using a stacked autoencoder with maximum correntropy criterion. - Yu Qi; Goktug T. Cinar; Vinícius M. A. de Souza; Gustavo E. A. P. A. Batista; Yueming Wang 001; José C. Príncipe (IJCNN, 2015)

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 (IJCNN, 2015)

Automatic classification of drum sounds with indefinite pitch. - Vinícius M. A. de Souza; Gustavo E. A. P. A. Batista; Nilson E. Souza-Filho (IJCNN, 2015)

Music Shapelets for Fast Cover Song Recognition. - Diego Furtado Silva; Vinícius M. A. de Souza; Gustavo E. A. P. A. Batista (ISMIR, 2015)

Data Stream Classification Guided by Clustering on Nonstationary Environments and Extreme Verification Latency. - Vinícius M. A. de Souza; Diego Furtado Silva; João Gama 001; Gustavo E. A. P. A. Batista (SDM, 2015)

Exploring Low Cost Laser Sensors to Identify Flying Insect Species - Evaluation of Machine Learning and Signal Processing Methods. - Diego Furtado Silva; Vinícius M. A. de Souza; Daniel P. W. Ellis; Eamonn J. Keogh; Gustavo E. A. P. A. Batista (J. Intell. Robotic Syst., 2015)

Identifying Aedes aegypti Mosquitoes by Sensors and One-Class Classifiers. - Vinícius M. A. de Souza (CIARP, 2016)

Classification of non-stationary data stream with application in sensors for insect identification. - Vinícius Mourão Alves de Souza (2016)

Towards Automatic Evaluation of Asphalt Irregularity Using Smartphone's Sensors. - Vinícius M. A. de Souza; Everton Alvares Cherman; Rafael Geraldeli Rossi; Rafael A. Souza (IDA, 2017)

Unsupervised active learning techniques for labeling training sets: An experimental evaluation on sequential data. - Vinícius Mourão Alves de Souza; Rafael Geraldeli Rossi; Gustavo E. A. P. A. Batista; Solange O. Rezende (Intell. Data Anal., 2017)

Evaluating Stream Classifiers with Delayed Labels Information. - Vinícius M. A. de Souza; Tiago Pinho da Silva; Gustavo E. A. P. A. Batista (BRACIS, 2018)

Towards Hierarchical Classification of Data Streams. - Antonio Rafael Sabino Parmezan; Vinícius M. A. de Souza; Gustavo E. A. P. A. Batista (CIARP, 2018)

A Fuzzy Classifier for Data Streams with Infinitely Delayed Labels. - Tiago Pinho da Silva; Vinícius Mourão Alves de Souza; Gustavo Enrique De Almeida Prado Alves Batista; Heloisa de Arruda Camargo (CIARP, 2018)

Asphalt pavement classification using smartphone accelerometer and Complexity Invariant Distance. - Vinícius M. A. de Souza (Eng. Appl. Artif. Intell., 2018)

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 (Pervasive Mob. Comput., 2018)

EmbML Tool: Supporting the use of Supervised Learning Algorithms in Low-Cost Embedded Systems. - Lucas Tsutsui da Silva; Vinícius M. A. de Souza; Gustavo E. A. P. A. Batista (ICTAI, 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. - Antonio Rafael Sabino Parmezan; Vinícius M. A. de Souza; Gustavo E. A. P. A. Batista (Inf. Sci., 2019)

Unsupervised Drift Detection on High-speed Data Streams. - Vinícius M. A. de Souza; Farhan Asif Chowdhury; Abdullah Mueen (IEEE BigData, 2020)

FilCorr: Filtered and Lagged Correlation on Streaming Time Series. - Sheng Zhong 005; Vinícius M. A. de Souza; Abdullah Mueen (ICDM, 2020)

Challenges in benchmarking stream learning algorithms with real-world data. - Vinícius M. A. de Souza; Denis Moreira dos Reis; André Gustavo Maletzke; Gustavo E. A. P. A. Batista (Data Min. Knowl. Discov., 2020)

Multi-way Time Series Join on Multi-length Patterns. - Md. Parvez Mollah; Vinícius M. A. de Souza; Abdullah Mueen (ICDM, 2021)

An Open-Source Tool for Classification Models in Resource-Constrained Hardware. - Lucas Tsutsui da Silva; Vinícius M. A. de Souza; Gustavo E. A. P. A. Batista (CoRR, 2021)

Efficient unsupervised drift detector for fast and high-dimensional data streams. - Vinícius M. A. de Souza; Antonio Rafael Sabino Parmezan; Farhan Asif Chowdhury; Abdullah Mueen (Knowl. Inf. Syst., 2021)

TS-DENSE: Time Series Data Augmentation by Subclass Clustering. - Rodrigo H. Zanella; Lucas A. de Castro Coelho; Vinícius M. A. de Souza (ICPR, 2022)

Septor: Seismic Depth Estimation Using Hierarchical Neural Networks. - M. Ashraf Siddiquee; Vinícius M. A. de Souza; Glenn Eli Baker; Abdullah Mueen (KDD, 2022)

Time Series Prediction via Similarity Search: Exploring Invariances, Distance Measures and Ensemble Functions. - Antonio Rafael Sabino Parmezan; Vinícius M. A. de Souza; Gustavo E. A. P. A. Batista (IEEE Access, 2022)

Hierarchical classification of pollinating flying insects under changing environments. - Antonio Rafael Sabino Parmezan; Vinícius M. A. de Souza; Arpita Seth; Indre Zliobaite; Gustavo E. A. P. A. Batista (Ecol. Informatics, 2022)

Combining Filtering and Cross-Correlation Efficiently for Streaming Time Series. - Sheng Zhong 005; Vinícius M. A. de Souza; Abdullah Mueen (ACM Trans. Knowl. Discov. Data, 2022)

Online Few-Shot Time Series Classification for Aftershock Detection. - Sheng Zhong 005; Vinícius M. A. de Souza; Glenn Eli Baker; Abdullah Mueen (KDD, 2023)

A Large Comparison of Normalization Methods on Time Series. - Felipe Tomazelli Lima; Vinícius M. A. de Souza (Big Data Res., 2023)

Fusion of Image Representations for Time Series Classification with Deep Learning. - Henrique V. Costa; André G. R. Ribeiro; Vinícius M. A. de Souza (ICANN (6), 2024)

Fuels Demand Forecasting: Identifying Leading Feature Sets, Prediction Strategy, and Regressors. - Jonas Krause; Alexandre C. A. Beiruth; Jean Paul Barddal; Alceu S. Britto Jr.; Vinícius M. A. de Souza (ICMLA, 2024)

Peak Prediction in Time Series: Comparing Approaches for Energy High-Load Prediction. - Rodrigo Kruger; Abdullah Mueen; Vinícius M. A. de Souza (IJCNN, 2024)

Time-Series Mining Approaches for Malaria Vector Prediction On Mid-Infrared Spectroscopy Data. - Lucas G. M. Castro; Henrique V. Costa; Vinícius M. A. de Souza (Data Sci. J., 2024)

Visemble: A fast ensemble approach for time series classification with multiple visual representations. - Vinícius M. A. de Souza; Patrickerson S. Veiga; André G. R. Ribeiro (Knowl. Based Syst., 2025)