Gradient-free decoding parameter optimization on automatic speech recognition. - Thach Le Nguyen; Daniel Stein; Michael Stadtschnitzer (ICASSP, 2014)

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

A Model-Agnostic Approach to Quantifying the Informativeness of Explanation Methods for Time Series Classification. - Thu Trang Nguyen; Thach Le Nguyen; Georgiana Ifrim (AALTD@PKDD/ECML, 2020)

Ranking by Aggregating Referees: Evaluating the Informativeness of Explanation Methods for Time Series Classification. - Surabhi Agarwal; Trang Thu Nguyen; Thach Le Nguyen; Georgiana Ifrim (AALTD@ECML/PKDD, 2021)

Fast Channel Selection for Scalable Multivariate Time Series Classification. - Bhaskar Dhariyal; Thach Le Nguyen; Georgiana Ifrim (AALTD@ECML/PKDD, 2021)

MrSQM: Fast Time Series Classification with Symbolic Representations. - Thach Le Nguyen; Georgiana Ifrim (CoRR, 2021)

Fast Time Series Classification with Random Symbolic Subsequences. - Thach Le Nguyen; Georgiana Ifrim (AALTD@ECML/PKDD, 2022)

Scalable Classifier-Agnostic Channel Selection for MTSC. - Bhaskar Dhariyal; Thach Le Nguyen; Georgiana Ifrim (CoRR, 2022)

A short tutorial for time series classification and explanation with MrSQM. - Thach Le Nguyen; Georgiana Ifrim (Softw. Impacts, 2022)

Back to Basics: A Sanity Check on Modern Time Series Classification Algorithms. - Bhaskar Dhariyal; Thach Le Nguyen; Georgiana Ifrim (AALTD@ECML/PKDD, 2023)

Evaluating Explanation Methods for Multivariate Time Series Classification. - Davide Italo Serramazza; Thu Trang Nguyen; Thach Le Nguyen; Georgiana Ifrim (AALTD@ECML/PKDD, 2023)

An Examination of Wearable Sensors and Video Data Capture for Human Exercise Classification. - Ashish Singh; Antonio Bevilacqua; Timilehin B. Aderinola; Thach Le Nguyen; Darragh Whelan; Martin O'Reilly 001; Brian Caulfield 001; Georgiana Ifrim (ECML/PKDD (6), 2023)

AMEE: A Robust Framework for Explanation Evaluation in Time Series Classification. - Thu Trang Nguyen; Thach Le Nguyen; Georgiana Ifrim (CoRR, 2023)

Scalable classifier-agnostic channel selection for multivariate time series classification. - Bhaskar Dhariyal; Thach Le Nguyen; Georgiana Ifrim (Data Min. Knowl. Discov., 2023)

Fast and robust video-based exercise classification via body pose tracking and scalable multivariate time series classifiers. - Ashish Singh; Antonio Bevilacqua; Thach Le Nguyen; Feiyan Hu; Kevin McGuinness; Martin O'Reilly 001; Darragh Whelan; Brian Caulfield 001; Georgiana Ifrim (Data Min. Knowl. Discov., 2023)

Improving the Evaluation and Actionability of Explanation Methods for Multivariate Time Series Classification. - Davide Italo Serramazza; Thach Le Nguyen; Georgiana Ifrim (ECML/PKDD (4), 2024)

A short tutorial for multivariate time series explanation using tsCaptum. - Davide Italo Serramazza; Thach Le Nguyen; Georgiana Ifrim (Softw. Impacts, 2024)

Robust explainer recommendation for time series classification. - Thu Trang Nguyen; Thach Le Nguyen; Georgiana Ifrim (Data Min. Knowl. Discov., 2024)