no code implementations • 25 Jun 2020 • Severin Gsponer, Luca Costabello, Chan Le Van, Sumit Pai, Christophe Gueret, Georgiana Ifrim, Freddy Lecue
Sequence classification is the supervised learning task of building models that predict class labels of unseen sequences of symbols.
1 code implementation • 31 May 2020 • Thach Le Nguyen, Severin Gsponer, Iulia Ilie, Martin O'Reilly, Georgiana Ifrim
In this paper we propose new time series classification algorithms to address these gaps.
1 code implementation • 12 Aug 2018 • Thach Le Nguyen, Severin Gsponer, Iulia Ilie, Georgiana Ifrim
In this work we analyse the state-of-the-art for time series classification, and propose new algorithms that aim to maintain the classifier accuracy and efficiency, but keep interpretability as a key design constraint.