Vinícius M. A. de Souza

Orcid: 0000-0003-3175-7922

Affiliations:
  • 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 44 papers between 2011 and 2023.

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Bibliography

2023
A Large Comparison of Normalization Methods on Time Series.
Big Data Res., November, 2023

Online Few-Shot Time Series Classification for Aftershock Detection.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
Combining Filtering and Cross-Correlation Efficiently for Streaming Time Series.
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

Septor: Seismic Depth Estimation Using Hierarchical Neural Networks.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

TS-DENSE: Time Series Data Augmentation by Subclass Clustering.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021
Efficient unsupervised drift detector for fast and high-dimensional data streams.
Knowl. Inf. Syst., 2021

An Open-Source Tool for Classification Models in Resource-Constrained Hardware.
CoRR, 2021

Multi-way Time Series Join on Multi-length Patterns.
Proceedings of the IEEE International Conference on Data Mining, 2021

2020
Challenges in benchmarking stream learning algorithms with real-world data.
Data Min. Knowl. Discov., 2020

FilCorr: Filtered and Lagged Correlation on Streaming Time Series.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Unsupervised Drift Detection on High-speed Data Streams.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Analysis of Spectral Sensing Using Angle-Time Cyclostationarity.
Sensors, 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

A Fuzzy Classifier for Data Streams with Infinitely Delayed Labels.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

Towards Hierarchical Classification of Data Streams.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

Evaluating Stream Classifiers with Delayed Labels Information.
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

Towards Automatic Evaluation of Asphalt Irregularity Using Smartphone's Sensors.
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

Identifying Aedes aegypti Mosquitoes by Sensors and One-Class Classifiers.
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

Music Shapelets for Fast Cover Song Recognition.
Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015

Automatic classification of drum sounds with indefinite pitch.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

An experimental analysis on time series transductive classification on graphs.
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

Classification of Evolving Data Streams with Infinitely Delayed Labels.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

2014
CID: an efficient complexity-invariant distance for time series.
Data Min. Knowl. Discov., 2014

Extracting Texture Features for Time Series Classification.
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

Time Series Classification Using Compression Distance of Recurrence Plots.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Classification of Data Streams Applied to Insect Recognition: Initial Results.
Proceedings of the Brazilian Conference on Intelligent Systems, 2013

2012
Spoken Digit Recognition in Portuguese Using Line Spectral Frequencies.
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


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