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05/17/2023
A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data
Predictive Maintenance (PdM) methods aim to facilitate the scheduling of...
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05/16/2023
A Dictionary-based approach to Time Series Ordinal Classification
Time Series Classification (TSC) is an extensively researched field from...
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05/27/2019
Deep ordinal classification based on cumulative link models
This paper proposes a deep convolutional neural network model for ordina...
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11/17/2018
Monotonic classification: an overview on algorithms, performance measures and data sets
Currently, knowledge discovery in databases is an essential step to iden...
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10/27/2018
Time series clustering based on the characterisation of segment typologies
Time series clustering is the process of grouping time series with respe...
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10/23/2018