Vinícius M. A. de Souza

43 papers A* 5A 1B 9C 4Journal 15Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ADWIN-U: adaptive windowing for unsupervised drift detection on data streams. Knowl. Inf. Syst. Daniel Nowak Assis, Vinícius M. A. de Souza
2025	—	`conf`	Training and Test Machine Learning Models on Encrypted Data: Initial Results and Challenges. BRACIS (2) Rodrigo Kruger, Jean Paul Barddal, Vinícius M. A. de Souza
2025	J	`jnl`	Visemble: A fast ensemble approach for time series classification with multiple visual representations. Knowl. Based Syst. Vinícius M. A. de Souza, Patrickerson S. Veiga, André G. R. Ribeiro
2024	C	`conf`	Fuels Demand Forecasting: Identifying Leading Feature Sets, Prediction Strategy, and Regressors. ICMLA Jonas Krause, Alexandre C. A. Beiruth, Jean Paul Barddal, Alceu S. Britto Jr., Vinícius M. A. de Souza
2024	—	`conf`	Fusion of Image Representations for Time Series Classification with Deep Learning. ICANN (6) Henrique V. Costa, André G. R. Ribeiro, Vinícius M. A. de Souza
2024	B	`conf`	Peak Prediction in Time Series: Comparing Approaches for Energy High-Load Prediction. IJCNN Rodrigo Kruger, Abdullah Mueen, Vinícius M. A. de Souza
2024	J	`jnl`	Time-Series Mining Approaches for Malaria Vector Prediction On Mid-Infrared Spectroscopy Data. Data Sci. J. Lucas G. M. Castro, Henrique V. Costa, Vinícius M. A. de Souza
2023	J	`jnl`	A Large Comparison of Normalization Methods on Time Series. Big Data Res. Felipe Tomazelli Lima, Vinícius M. A. de Souza
2023	A*	`conf`	Online Few-Shot Time Series Classification for Aftershock Detection. KDD Sheng Zhong, Vinícius M. A. de Souza, Glenn Eli Baker, Abdullah Mueen
2022	J	`jnl`	Combining Filtering and Cross-Correlation Efficiently for Streaming Time Series. ACM Trans. Knowl. Discov. Data Sheng Zhong, Vinícius M. A. de Souza, Abdullah Mueen
2022	J	`jnl`	Hierarchical classification of pollinating flying insects under changing environments. Ecol. Informatics Antonio Rafael Sabino Parmezan, Vinícius M. A. de Souza, Arpita Seth, Indre Zliobaite, Gustavo E. A. P. A. Batista
2022	A*	`conf`	Septor: Seismic Depth Estimation Using Hierarchical Neural Networks. KDD M. Ashraf Siddiquee, Vinícius M. A. de Souza, Glenn Eli Baker, Abdullah Mueen
2022	B	`conf`	TS-DENSE: Time Series Data Augmentation by Subclass Clustering. ICPR Rodrigo H. Zanella, Lucas A. de Castro Coelho, Vinícius M. A. de Souza
2022	J	`jnl`	Time Series Prediction via Similarity Search: Exploring Invariances, Distance Measures and Ensemble Functions. IEEE Access Antonio Rafael Sabino Parmezan, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista
2021	J	`jnl`	An Open-Source Tool for Classification Models in Resource-Constrained Hardware. CoRR Lucas Tsutsui da Silva, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista
2021	J	`jnl`	Efficient unsupervised drift detector for fast and high-dimensional data streams. Knowl. Inf. Syst. Vinícius M. A. de Souza, Antonio Rafael Sabino Parmezan, Farhan Asif Chowdhury, Abdullah Mueen
2021	A*	`conf`	Multi-way Time Series Join on Multi-length Patterns. ICDM Md. Parvez Mollah, Vinícius M. A. de Souza, Abdullah Mueen
2020	J	`jnl`	Challenges in Benchmarking Stream Learning Algorithms with Real-world Data. CoRR Vinícius M. A. de Souza, Denis Moreira dos Reis, André Gustavo Maletzke, Gustavo E. A. P. A. Batista
2020	J	`jnl`	Challenges in benchmarking stream learning algorithms with real-world data. Data Min. Knowl. Discov. Vinícius M. A. de Souza, Denis Moreira dos Reis, André Gustavo Maletzke, Gustavo E. A. P. A. Batista
2020	A*	`conf`	FilCorr: Filtered and Lagged Correlation on Streaming Time Series. ICDM Sheng Zhong, Vinícius M. A. de Souza, Abdullah Mueen
2020	—	`conf`	Unsupervised Drift Detection on High-speed Data Streams. IEEE BigData Vinícius M. A. de Souza, Farhan Asif Chowdhury, Abdullah Mueen
2019	B	`conf`	EmbML Tool: Supporting the use of Supervised Learning Algorithms in Low-Cost Embedded Systems. ICTAI Lucas Tsutsui da Silva, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista
2019	J	`jnl`	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. Antonio Rafael Sabino Parmezan, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista
2018	J	`jnl`	Asphalt pavement classification using smartphone accelerometer and Complexity Invariant Distance. Eng. Appl. Artif. Intell. Vinícius M. A. de Souza
2018	—	`conf`	Evaluating Stream Classifiers with Delayed Labels Information. BRACIS Vinícius M. A. de Souza, Tiago Pinho da Silva, Gustavo E. A. P. A. Batista
2018	C	`conf`	Towards Hierarchical Classification of Data Streams. CIARP Antonio Rafael Sabino Parmezan, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista
2017	B	`conf`	Towards Automatic Evaluation of Asphalt Irregularity Using Smartphone's Sensors. IDA Vinícius M. A. de Souza, Everton Alvares Cherman, Rafael Geraldeli Rossi, Rafael A. Souza
2016	C	`conf`	Identifying Aedes aegypti Mosquitoes by Sensors and One-Class Classifiers. CIARP Vinícius M. A. de Souza
2015	B	`conf`	An experimental analysis on time series transductive classification on graphs. IJCNN Celso André R. de Sousa, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista
2015	B	`conf`	Automatic classification of drum sounds with indefinite pitch. IJCNN Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista, Nilson E. Souza-Filho
2015	C	`conf`	Classification of Evolving Data Streams with Infinitely Delayed Labels. ICMLA Vinícius M. A. de Souza, Diego Furtado Silva, Gustavo E. A. P. A. Batista, João Gama
2015	A	`conf`	Data Stream Classification Guided by Clustering on Nonstationary Environments and Extreme Verification Latency. SDM Vinícius M. A. de Souza, Diego Furtado Silva, João Gama, Gustavo E. A. P. A. Batista
2015	B	`conf`	Effective insect recognition using a stacked autoencoder with maximum correntropy criterion. IJCNN Yu Qi, Goktug T. Cinar, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista, Yueming Wang, José C. Príncipe
2015	J	`jnl`	Exploring Low Cost Laser Sensors to Identify Flying Insect Species - Evaluation of Machine Learning and Signal Processing Methods. J. Intell. Robotic Syst. Diego Furtado Silva, Vinícius M. A. de Souza, Daniel P. W. Ellis, Eamonn J. Keogh, Gustavo E. A. P. A. Batista
2015	—	`conf`	Music Shapelets for Fast Cover Song Recognition. ISMIR Diego Furtado Silva, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista
2014	J	`jnl`	CID: an efficient complexity-invariant distance for time series. Data Min. Knowl. Discov. Gustavo E. A. P. A. Batista, Eamonn J. Keogh, Oben Moses Tataw, Vinícius M. A. de Souza
2014	B	`conf`	Extracting Texture Features for Time Series Classification. ICPR Vinícius M. A. de Souza, Diego Furtado Silva, Gustavo E. A. P. A. Batista
2014	B	`conf`	Time Series Transductive Classification on Imbalanced Data Sets: An Experimental Study. ICPR Celso André R. de Sousa, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista
2013	—	`conf`	Applying Machine Learning and Audio Analysis Techniques to Insect Recognition in Intelligent Traps. ICMLA (1) Diego Furtado Silva, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista, Eamonn J. Keogh, Daniel P. W. Ellis
2013	—	`conf`	Classification of Data Streams Applied to Insect Recognition: Initial Results. BRACIS Vinícius M. A. de Souza, Diego Furtado Silva, Gustavo E. A. P. A. Batista
2013	A*	`conf`	Time Series Classification Using Compression Distance of Recurrence Plots. ICDM Diego Furtado Silva, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista
2013	—	`conf`	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]. STIL Vinícius M. A. de Souza, Valéria Delisandra Feltrim
2012	—	`conf`	Spoken Digit Recognition in Portuguese Using Line Spectral Frequencies. IBERAMIA Diego Furtado Silva, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista, Rafael Giusti