Exploring time-series motifs through DTW-SOM
MI Silva, R Henriques - 2020 International Joint Conference on …, 2020 - ieeexplore.ieee.org
Motif discovery is a fundamental step in data mining tasks for time-series data such as
clustering, classification and anomaly detection. Even though many papers have addressed …
clustering, classification and anomaly detection. Even though many papers have addressed …
[图书][B] Discovery of Ill-Known Motifs in Time Series Data
S Deppe, S Deppe - 2022 - Springer
By continuous advancements in several fields of science and technology during the last
decades, data mining and machine learning tasks have gained noticeable interest. The goal …
decades, data mining and machine learning tasks have gained noticeable interest. The goal …
[PDF][PDF] DOCTORATE PROGRAM
MIPP da Silva - 2021 - core.ac.uk
Processing driving data and investigating driving behavior has been receiving an increasing
interest in the last decades, with applications ranging from car insurance pricing to policy …
interest in the last decades, with applications ranging from car insurance pricing to policy …
Applications of High-Frequency Telematics for Driving Behavior Analysis
MIPP da Silva - 2021 - search.proquest.com
Processing driving data and investigating driving behavior has been receiving an increasing
interest in the last decades, with applications ranging from car insurance pricing to policy …
interest in the last decades, with applications ranging from car insurance pricing to policy …
[图书][B] Unsupervised Image Feature Learning for Convolutional Neural Networks
R Hankins - 2019 - search.proquest.com
Robust solutions to image classification is a challenging task since approaches should be
able to successfully discriminate between the different classes, whilst being able to …
able to successfully discriminate between the different classes, whilst being able to …