3 papers
cs.LG2020
Background Knowledge Injection for Interpretable Sequence Classification
Severin Gsponer, Luca Costabello, Chan Le Van +4
Sequence classification is the supervised learning task of building models that predict class labels of unseen sequences of symbols. Although accuracy is paramount, in certain scen…
cs.LG2020
Interpretable Time Series Classification using Linear Models and Multi-resolution Multi-domain Symbolic Representations
Thach Le Nguyen, Severin Gsponer, Iulia Ilie +2
The time series classification literature has expanded rapidly over the last decade, with many new classification approaches published each year. Prior research has mostly focused…
cs.LG2018
Interpretable Time Series Classification using All-Subsequence Learning and Symbolic Representations in Time and Frequency Domains
Thach Le Nguyen, Severin Gsponer, Iulia Ilie +1
The time series classification literature has expanded rapidly over the last decade, with many new classification approaches published each year. The research focus has mostly been…