research
∙
10/05/2022
Transformer-based conditional generative adversarial network for multivariate time series generation
Conditional generation of time-dependent data is a task that has much in...
share
research
∙
11/11/2020
A Survey and Implementation of Performance Metrics for Self-Organized Maps
Self-Organizing Map algorithms have been used for almost 40 years across...
research
∙
10/14/2020
Anomaly Detection for Bivariate Signals
The anomaly detection problem for univariate or multivariate time series...
research
∙
06/15/2020
Selecting the Number of Clusters K with a Stability Trade-off: an Internal Validation Criterion
Model selection is a major challenge in non-parametric clustering. There...
research
∙
06/12/2015
Search Strategies for Binary Feature Selection for a Naive Bayes Classifier
We compare in this paper several feature selection methods for the Naive...
research
∙
03/18/2015
Interpretable Aircraft Engine Diagnostic via Expert Indicator Aggregation
Detecting early signs of failures (anomalies) in complex systems is one ...
research
∙
07/03/2014
