| 2026 | ICPR | Univariate Channel Fusion for Multivariate Time Series Classification. | Fernando Moro, Vincius M. A. de Souza |
| 2024 | ICANN | Fusion of Image Representations for Time Series Classification with Deep Learning. | Henrique V. Costa, Andr G. R. Ribeiro, Vincius M. A. de Souza |
| 2024 | ICMLA | Fuels Demand Forecasting: Identifying Leading Feature Sets, Prediction Strategy, and Regressors. | Jonas Krause, Alexandre C. A. Beiruth, Jean Paul Barddal, Alceu S. Britto Jr., Vincius M. A. de Souza |
| 2024 | IJCNN | Peak Prediction in Time Series: Comparing Approaches for Energy High-Load Prediction. | Rodrigo Kruger, Abdullah Mueen, Vincius M. A. de Souza |
| 2023 | KDD | Online Few-Shot Time Series Classification for Aftershock Detection. | Sheng Zhong, Vincius M. A. de Souza, Glenn Eli Baker, Abdullah Mueen |
| 2022 | ICPR | TS-DENSE: Time Series Data Augmentation by Subclass Clustering. | Rodrigo H. Zanella, Lucas A. de Castro Coelho, Vincius M. A. de Souza |
| 2022 | KDD | Septor: Seismic Depth Estimation Using Hierarchical Neural Networks. | M. Ashraf Siddiquee, Vincius M. A. de Souza, Glenn Eli Baker, Abdullah Mueen |
| 2021 | ICDM | Multi-way Time Series Join on Multi-length Patterns. | Md. Parvez Mollah, Vincius M. A. de Souza, Abdullah Mueen |
| 2020 | ICDM | FilCorr: Filtered and Lagged Correlation on Streaming Time Series. | Sheng Zhong, Vincius M. A. de Souza, Abdullah Mueen |
| 2019 | ICTAI | EmbML Tool: Supporting the use of Supervised Learning Algorithms in Low-Cost Embedded Systems. | Lucas Tsutsui da Silva, Vincius M. A. de Souza, Gustavo E. A. P. A. Batista |
| 2018 | CIARP | Towards Hierarchical Classification of Data Streams. | Antonio Rafael Sabino Parmezan, Vincius M. A. de Souza, Gustavo E. A. P. A. Batista |
| 2017 | IDA | Towards Automatic Evaluation of Asphalt Irregularity Using Smartphone's Sensors. | Vincius M. A. de Souza, Everton Alvares Cherman, Rafael Geraldeli Rossi, Rafael A. Souza |
| 2016 | CIARP | Identifying Aedes aegypti Mosquitoes by Sensors and One-Class Classifiers. | Vincius M. A. de Souza |
| 2015 | ICMLA | Classification of Evolving Data Streams with Infinitely Delayed Labels. | Vincius M. A. de Souza, Diego Furtado Silva, Gustavo E. A. P. A. Batista, Joo Gama |
| 2015 | IJCNN | Effective insect recognition using a stacked autoencoder with maximum correntropy criterion. | Yu Qi, Goktug T. Cinar, Vincius M. A. de Souza, Gustavo E. A. P. A. Batista, Yueming Wang, Jos C. Prncipe |
| 2015 | IJCNN | An experimental analysis on time series transductive classification on graphs. | Celso Andr R. de Sousa, Vincius M. A. de Souza, Gustavo E. A. P. A. Batista |
| 2015 | IJCNN | Automatic classification of drum sounds with indefinite pitch. | Vincius M. A. de Souza, Gustavo E. A. P. A. Batista, Nilson E. Souza-Filho |
| 2015 | SDM | Data Stream Classification Guided by Clustering on Nonstationary Environments and Extreme Verification Latency. | Vincius M. A. de Souza, Diego Furtado Silva, Joo Gama, Gustavo E. A. P. A. Batista |
| 2014 | ICPR | Time Series Transductive Classification on Imbalanced Data Sets: An Experimental Study. | Celso Andr R. de Sousa, Vincius M. A. de Souza, Gustavo E. A. P. A. Batista |
| 2014 | ICPR | Extracting Texture Features for Time Series Classification. | Vincius M. A. de Souza, Diego Furtado Silva, Gustavo E. A. P. A. Batista |
| 2013 | ICDM | Time Series Classification Using Compression Distance of Recurrence Plots. | Diego Furtado Silva, Vincius M. A. de Souza, Gustavo E. A. P. A. Batista |
| 2013 | ICMLA | Applying Machine Learning and Audio Analysis Techniques to Insect Recognition in Intelligent Traps. | Diego Furtado Silva, Vincius M. A. de Souza, Gustavo E. A. P. A. Batista, Eamonn J. Keogh, Daniel P. W. Ellis |