1 code implementation • 29 Aug 2023 • Davide Italo Serramazza, Thu Trang Nguyen, Thach Le Nguyen, Georgiana Ifrim
In many applications classification alone is not enough, we often need to classify but also understand what the model learns (e. g., why was a prediction given, based on what information in the data).
1 code implementation • 15 Aug 2023 • Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim
The state-of-the-art in time series classification has come a long way, from the 1NN-DTW algorithm to the ROCKET family of classifiers.
no code implementations • 10 Jul 2023 • Ashish Singh, Antonio Bevilacqua, Timilehin B. Aderinola, Thach Le Nguyen, Darragh Whelan, Martin O'Reilly, Brian Caulfield, Georgiana Ifrim
Additionally, a minimum of 3 IMUs are required to outperform a single camera.
1 code implementation • 8 Jun 2023 • Thu Trang Nguyen, Thach Le Nguyen, Georgiana Ifrim
This paper provides a framework to quantitatively evaluate and rank explanation methods for time series classification.
1 code implementation • 10 Oct 2022 • Maria Frizzarin, Giulio Visentin, Alessandro Ferragina, Elena Hayes, Antonio Bevilacqua, Bhaskar Dhariyal, Katarina Domijan, Hussain Khan, Georgiana Ifrim, Thach Le Nguyen, Joe Meagher, Laura Menchetti, Ashish Singh, Suzy Whoriskey, Robert Williamson, Martina Zappaterra, Alessandro Casa
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".
1 code implementation • 2 Oct 2022 • Ashish Singh, Antonio Bevilacqua, Thach Le Nguyen, Feiyan Hu, Kevin McGuinness, Martin OReilly, Darragh Whelan, Brian Caulfield, Georgiana Ifrim
We analyze the accuracy and robustness of BodyMTS and show that it is robust to different types of noise caused by either video quality or pose estimation factors.
1 code implementation • 18 Jun 2022 • Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim
Channel selection is applied as a pre-processing step before training state-of-the-art MTSC algorithms and saves about 70\% of computation time and data storage, with preserved accuracy.
1 code implementation • 2 Sep 2021 • Thach Le Nguyen, Georgiana Ifrim
The key idea is to transform numerical time series to symbolic representations in the time or frequency domain, i. e., sequences of symbols, and then extract features from these sequences.
1 code implementation • 5 Jul 2021 • Maria Frizzarin, Antonio Bevilacqua, Bhaskar Dhariyal, Katarina Domijan, Federico Ferraccioli, Elena Hayes, Georgiana Ifrim, Agnieszka Konkolewska, Thach Le Nguyen, Uche Mbaka, Giovanna Ranzato, Ashish Singh, Marco Stefanucci, Alessandro Casa
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 Research Centre and held online in April 2021.
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.