Stebėti
Vinícius Mourão Alves de Souza
Vinícius Mourão Alves de Souza
Kiti vardaiVinicius M. A. Souza
Associate Professor, Pontifical Catholic University of Parana (PPGIa/PUCPR)
Patvirtintas el. paštas ppgia.pucpr.br - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
CID: an efficient complexity-invariant distance for time series
GE Batista, EJ Keogh, OM Tataw, VMA Souza
Data Mining and Knowledge Discovery 28 (3), 634-669, 2014
4652014
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
ARS Parmezan, VMA Souza, GE Batista
Information sciences 484, 302-337, 2019
3582019
Challenges in Benchmarking Stream Learning Algorithms with Real-world Data
VMA Souza, DM Reis, AG Maletzke, GE Batista
Data Mining and Knowledge Discovery 34, 1805-1858, 2020
1632020
Time Series Classification Using Compression Distance of Recurrence Plots
DF Silva, VMA Souza, GEAPA Batista
International Conference on Data Mining (ICDM), 687-696, 2013
1382013
Data Stream Classification Guided by Clustering on Nonstationary Environments and Extreme Verification Latency
VMA Souza, DF Silva, J Gama, GEAPA Batista
SIAM International Conference on Data Mining (SDM), 873-881, 2015
1262015
Exploring low cost laser sensors to identify flying insect species
DF Silva, VMA Souza, DPW Ellis, EJ Keogh, GEAPA Batista
Journal of Intelligent & Robotic Systems 80, 313, 2015
912015
Asfault: A low-cost system to evaluate pavement conditions in real-time using smartphones and machine learning
VMA Souza, R Giusti, AJL Batista
Pervasive and Mobile Computing, 2018
772018
Applying Machine Learning and Audio Analysis Techniques to Insect Recognition in Intelligent Traps
DF Silva, VMA Souza, GE Batista, E Keogh, DPW Ellis
12th International Conference on Machine Learning and Applications (ICMLA) 1 …, 2013
692013
Extracting Texture Features for Time Series Classification
VMA Souza, DF Silva, GEAPA Batista
22nd International Conference on Pattern Recognition (ICPR), 1425-1430, 2014
642014
A Large Comparison of Normalization Methods on Time Series
FT Lima, VMA Souza
Big Data Research 34, 100407, 2023
632023
Classification of Evolving Data Streams with Infinitely Delayed Labels
VMA Souza, DF Silva, GEAPA Batista, J Gama
2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015
602015
Asphalt pavement classification using smartphone accelerometer and Complexity Invariant Distance
VMA Souza
Engineering Applications of Artificial Intelligence 74, 198 - 211, 2018
592018
Classification of Data Streams Applied to Insect Recognition: Initial Results
VMA Souza, DF Silva, GE Batista
2013 Brazilian Conference on Intelligent Systems (BRACIS), 76-81, 2013
48*2013
Spoken Digit Recognition in Portuguese Using Line Spectral Frequencies
DF Silva, VMA Souza, GEAPA Batista, R Giusti
13th Ibero-American Conference on Artificial Inteligence, 241-250, 2012
352012
Music Shapelets for Fast Cover Song Recognition
DF Silva, VMA Souza, GEAPA Batista
International Society for Music Information Retrieval Conference (ISMIR …, 2015
312015
Automatic classification of drum sounds with indefinite pitch
VMA Souza, GEAPA Batista, NE Souza-Filho
International Joint Conference on Neural Networks (IJCNN), 1-8, 2015
282015
Changes in the wing-beat frequency of bees and wasps depending on environmental conditions: a study with optical sensors
ARS Parmezan, VMA Souza, I Zliobaite, GEAPA Batista
Apidologie 52, 731–748, 2021
242021
Image processing in mobile devices to classify pressure injuries
CM Tibes, EA Cherman, VMA Souza, YDM Évora, SH Zem-Mascarenhas
Journal of Nursing UFPE on line 10 (11), 3840-3847, 2016
21*2016
Effective Insect Recognition Using a Stacked Autoencoder with Maximum Correntropy Criterion
Y Qi, GT Cinar, VMA Souza, GEAPA Batista, Y Wang, JC Principe
International Joint Conference on Neural Networks (IJCNN), 2015
202015
An experimental analysis on time series transductive classification on graphs
CAR de Sousa, VMA Souza, GEAPA Batista
International Joint Conference on Neural Networks (IJCNN), 1-8, 2015
192015
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Straipsniai 1–20