Thach Le Nguyen

According to our database, Thach Le Nguyen authored at least 18 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Darragh Whelan, Brian Caulfield, Georgiana Ifrim

Data Min. Knowl. Discov., March, 2023

Scalable classifier-agnostic channel selection for multivariate time series classification.

Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim

Data Min. Knowl. Discov., March, 2023

AMEE: A Robust Framework for Explanation Evaluation in Time Series Classification.

Thu Trang Nguyen, Thach Le Nguyen, Georgiana Ifrim

CoRR, 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, Brian Caulfield, Georgiana Ifrim

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Evaluating Explanation Methods for Multivariate Time Series Classification.

Davide Italo Serramazza, Thu Trang Nguyen, Thach Le Nguyen, Georgiana Ifrim

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023

Back to Basics: A Sanity Check on Modern Time Series Classification Algorithms.

Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023

2022

A short tutorial for time series classification and explanation with MrSQM.

Thach Le Nguyen, Georgiana Ifrim

Softw. Impacts, 2022

Scalable Classifier-Agnostic Channel Selection for MTSC.

Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim

CoRR, 2022

Fast Time Series Classification with Random Symbolic Subsequences.

Thach Le Nguyen, Georgiana Ifrim

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2022

2021

MrSQM: Fast Time Series Classification with Symbolic Representations.

Thach Le Nguyen, Georgiana Ifrim

CoRR, 2021

Fast Channel Selection for Scalable Multivariate Time Series Classification.

Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2021

Ranking by Aggregating Referees: Evaluating the Informativeness of Explanation Methods for Time Series Classification.

Surabhi Agarwal, Trang Thu Nguyen, Thach Le Nguyen, Georgiana Ifrim

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2021

2020

A Model-Agnostic Approach to Quantifying the Informativeness of Explanation Methods for Time Series Classification.

Thu Trang Nguyen, Thach Le Nguyen, Georgiana Ifrim

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2020

An Examination of the State-of-the-Art for Multivariate Time Series Classification.

Bhaskar Dhariyal, Thach Le Nguyen, Severin Gsponer, Georgiana Ifrim

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

2019

Interpretable time series classification using linear models and multi-resolution multi-domain symbolic representations.

Thach Le Nguyen, Severin Gsponer, Iulia Ilie, Martin O'Reilly, Georgiana Ifrim

Data Min. Knowl. Discov., 2019

2018

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

2017

Time Series Classification by Sequence Learning in All-Subsequence Space.

Thach Le Nguyen, Severin Gsponer, Georgiana Ifrim

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2014

Gradient-free decoding parameter optimization on automatic speech recognition.

Thach Le Nguyen, Daniel Stein, Michael Stadtschnitzer

Proceedings of the IEEE International Conference on Acoustics, 2014