Time Series Classification by Sequence Learning in All-Subsequence Space. - Thach Le Nguyen; Severin Gsponer; Georgiana Ifrim (ICDE, 2017)

Efficient Sequence Regression by Learning Linear Models in All-Subsequence Space. - Severin Gsponer; Barry Smyth; Georgiana Ifrim (ECML/PKDD (2), 2017)

Interpretable Time Series Classification using All-Subsequence Learning and Symbolic Representations in Time and Frequency Domains. - Thach Le Nguyen; Severin Gsponer; Iulia Ilie; Georgiana Ifrim (CoRR, 2018)

Interpretable time series classification using linear models and multi-resolution multi-domain symbolic representations. - Thach Le Nguyen; Severin Gsponer; Iulia Ilie; Martin O'Reilly 001; Georgiana Ifrim (Data Min. Knowl. Discov., 2019)

An Examination of the State-of-the-Art for Multivariate Time Series Classification. - Bhaskar Dhariyal; Thach Le Nguyen; Severin Gsponer; Georgiana Ifrim (ICDM (Workshops), 2020)

Background Knowledge Injection for Interpretable Sequence Classification. - Severin Gsponer; Luca Costabello; Chan Le Van; Sumit Pai; Christophe Guéret; Georgiana Ifrim; Freddy Lécué (CoRR, 2020)