Vinícius M. A. de Souza
Orcid: 0000-0003-3175-7922Affiliations:
- University of São Paulo, Institute of Mathematics and Computer Science
- State University of Maringá, Informatics Department
According to our database1,
Vinícius M. A. de Souza
authored at least 46 papers
between 2011 and 2024.
Collaborative distances:
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Bibliography
2024
Time-Series Mining Approaches for Malaria Vector Prediction On Mid-Infrared Spectroscopy Data.
Data Sci. J., 2024
Peak Prediction in Time Series: Comparing Approaches for Energy High-Load Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2024
2023
Big Data Res., November, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
2022
ACM Trans. Knowl. Discov. Data, 2022
Hierarchical classification of pollinating flying insects under changing environments.
Ecol. Informatics, 2022
Time Series Prediction via Similarity Search: Exploring Invariances, Distance Measures and Ensemble Functions.
IEEE Access, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
2021
Knowl. Inf. Syst., 2021
CoRR, 2021
Proceedings of the IEEE International Conference on Data Mining, 2021
2020
Data Min. Knowl. Discov., 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
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.
Inf. Sci., 2019
EmbML Tool: Supporting the use of Supervised Learning Algorithms in Low-Cost Embedded Systems.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
2018
<i>Asfault: </i> A low-cost system to evaluate pavement conditions in real-time using smartphones and machine learning.
Pervasive Mob. Comput., 2018
Asphalt pavement classification using smartphone accelerometer and Complexity Invariant Distance.
Eng. Appl. Artif. Intell., 2018
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018
2017
Unsupervised active learning techniques for labeling training sets: An experimental evaluation on sequential data.
Intell. Data Anal., 2017
A Fuzzy-Based Approach for Selecting Technically Qualified Distributed Software Development Teams.
Proceedings of the Advances in Soft Computing, 2017
Proceedings of the Advances in Intelligent Data Analysis XVI, 2017
2016
Classification of non-stationary data stream with application in sensors for insect identification.
PhD thesis, 2016
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016
2015
Exploring Low Cost Laser Sensors to Identify Flying Insect Species - Evaluation of Machine Learning and Signal Processing Methods.
J. Intell. Robotic Syst., 2015
Data Stream Classification Guided by Clustering on Nonstationary Environments and Extreme Verification Latency.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Effective insect recognition using a stacked autoencoder with maximum correntropy criterion.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
2014
Data Min. Knowl. Discov., 2014
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Time Series Transductive Classification on Imbalanced Data Sets: An Experimental Study.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
2013
A coherence analysis module for SciPo: providing suggestions for scientific abstracts written in Portuguese.
J. Braz. Comput. Soc., 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].
Proceedings of the 9th Brazilian Symposium in Information and Human Language Technology, 2013
Applying Machine Learning and Audio Analysis Techniques to Insect Recognition in Intelligent Traps.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
Proceedings of the Brazilian Conference on Intelligent Systems, 2013
2012
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012
2011
Análise automática de aspectos relacionados a coerência semântica em resumos acadêmicos (Automatic Analysis of Semantic Coherence Aspects in Academic Abstracts) [in Portuguese].
Proceedings of the 8th Brazilian Symposium in Information and Human Language Technology, 2011
Automatic Analysis of Semantic Coherence in Academic Abstracts Written in Portuguese.
Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011