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20182022
most citedInterpretable Time Series Classification using All-Subsequence Learning and Symbolic Representations in Time and Frequency Domains

8 citations · 16 across the 6 of their papers we have counts for

collaborators

6 papers

q-bio.QM2022

Classification of cow diet based on milk mid infrared spectra: a data analysis competition at the "International workshop of spectroscopy and chemometrics 2022"

Maria Frizzarin, Giulio Visentin, Alessandro Ferragina +14

In April 2022, the Vistamilk SFI Research Centre organized the second edition of the "International Workshop on Spectroscopy and Chemometrics - Applications in Food and Agriculture…

cs.CV2022★ 1 cited

Fast and Robust Video-Based Exercise Classification via Body Pose Tracking and Scalable Multivariate Time Series Classifiers

Ashish Singh, Antonio Bevilacqua, Thach Le Nguyen +6

Technological advancements have spurred the usage of machine learning based applications in sports science. Physiotherapists, sports coaches and athletes actively look to incorpora…

cs.LG2021★ 7 cited

MrSQM: Fast Time Series Classification with Symbolic Representations

Thach Le Nguyen, Georgiana Ifrim

Symbolic representations of time series have proven to be effective for time series classification, with many recent approaches including SAX-VSM, BOSS, WEASEL, and MrSEQL. The key…

q-bio.QM2021

Mid infrared spectroscopy and milk quality traits: a data analysis competition at the "International Workshop on Spectroscopy and Chemometrics 2021"

Maria Frizzarin, Antonio Bevilacqua, Bhaskar Dhariyal +11

A chemometric data analysis challenge has been arranged during the first edition of the "International Workshop on Spectroscopy and Chemometrics", organized by the Vistamilk SFI Re…

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★ 8 cited

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…