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2020 – today
- 2024
[j5]Thu Trang Nguyen, Thach Le Nguyen, Georgiana Ifrim:
Robust explainer recommendation for time series classification. Data Min. Knowl. Discov. 38(6): 3372-3413 (2024)- [c11]Davide Italo Serramazza, Thach Le Nguyen, Georgiana Ifrim:
Improving the Evaluation and Actionability of Explanation Methods for Multivariate Time Series Classification. ECML/PKDD (4) 2024: 177-195 - [i10]Davide Italo Serramazza, Thach Le Nguyen, Georgiana Ifrim:
Improving the Evaluation and Actionability of Explanation Methods for Multivariate Time Series Classification. CoRR abs/2406.12507 (2024) - 2023
- [j4]Ashish Singh
, Antonio Bevilacqua, Thach Le Nguyen, Feiyan Hu, Kevin McGuinness, Martin O'Reilly, Darragh Whelan, Brian Caulfield, Georgiana Ifrim:
Fast and robust video-based exercise classification via body pose tracking and scalable multivariate time series classifiers. Data Min. Knowl. Discov. 37(2): 873-912 (2023) - [j3]Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim:
Scalable classifier-agnostic channel selection for multivariate time series classification. Data Min. Knowl. Discov. 37(2): 1010-1054 (2023) - [c10]Davide Italo Serramazza, Thu Trang Nguyen, Thach Le Nguyen, Georgiana Ifrim:
Evaluating Explanation Methods for Multivariate Time Series Classification. AALTD@ECML/PKDD 2023: 159-175 - [c9]Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim:
Back to Basics: A Sanity Check on Modern Time Series Classification Algorithms. AALTD@ECML/PKDD 2023: 205-229 - [c8]Ashish Singh, Antonio Bevilacqua, Timilehin B. Aderinola, Thach Le Nguyen, Darragh Whelan, Martin O'Reilly, Brian Caulfield, Georgiana Ifrim:
An Examination of Wearable Sensors and Video Data Capture for Human Exercise Classification. ECML/PKDD (6) 2023: 312-329 - [i9]Thu Trang Nguyen, Thach Le Nguyen, Georgiana Ifrim:
AMEE: A Robust Framework for Explanation Evaluation in Time Series Classification. CoRR abs/2306.05501 (2023) - [i8]Ashish Singh, Antonio Bevilacqua, Timilehin B. Aderinola, Thach Le Nguyen, Darragh Whelan, Martin O'Reilly, Brian Caulfield, Georgiana Ifrim:
An Examination of Wearable Sensors and Video Data Capture for Human Exercise Classification. CoRR abs/2307.04516 (2023) - [i7]Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim:
Back to Basics: A Sanity Check on Modern Time Series Classification Algorithms. CoRR abs/2308.07886 (2023) - [i6]Davide Italo Serramazza, Thu Trang Nguyen, Thach Le Nguyen, Georgiana Ifrim:
Evaluating Explanation Methods for Multivariate Time Series Classification. CoRR abs/2308.15223 (2023) - 2022
- [j2]Thach Le Nguyen, Georgiana Ifrim:
A short tutorial for time series classification and explanation with MrSQM. Softw. Impacts 11: 100197 (2022) - [c7]Thach Le Nguyen, Georgiana Ifrim:
Fast Time Series Classification with Random Symbolic Subsequences. AALTD@ECML/PKDD 2022: 50-65 - [i5]Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim:
Scalable Classifier-Agnostic Channel Selection for MTSC. CoRR abs/2206.09274 (2022) - [i4]Ashish Singh, Antonio Bevilacqua, Thach Le Nguyen, Feiyan Hu, Kevin McGuinness, Martin O'Reilly, Darragh Whelan, Brian Caulfield, Georgiana Ifrim:
Fast and Robust Video-Based Exercise Classification via Body Pose Tracking and Scalable Multivariate Time Series Classifiers. CoRR abs/2210.00507 (2022) - 2021
- [c6]Surabhi Agarwal, Trang Thu Nguyen, Thach Le Nguyen, Georgiana Ifrim:
Ranking by Aggregating Referees: Evaluating the Informativeness of Explanation Methods for Time Series Classification. AALTD@ECML/PKDD 2021: 3-20 - [c5]Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim:
Fast Channel Selection for Scalable Multivariate Time Series Classification. AALTD@ECML/PKDD 2021: 36-54 - [i3]Thach Le Nguyen, Georgiana Ifrim:
MrSQM: Fast Time Series Classification with Symbolic Representations. CoRR abs/2109.01036 (2021) - 2020
- [c4]Bhaskar Dhariyal, Thach Le Nguyen, Severin Gsponer, Georgiana Ifrim:
An Examination of the State-of-the-Art for Multivariate Time Series Classification. ICDM (Workshops) 2020: 243-250 - [c3]Thu Trang Nguyen, Thach Le Nguyen, Georgiana Ifrim:
A Model-Agnostic Approach to Quantifying the Informativeness of Explanation Methods for Time Series Classification. AALTD@PKDD/ECML 2020: 77-94 - [i2]Thach Le Nguyen, Severin Gsponer, Iulia Ilie, Martin O'Reilly, Georgiana Ifrim:
Interpretable Time Series Classification using Linear Models and Multi-resolution Multi-domain Symbolic Representations. CoRR abs/2006.01667 (2020)
2010 – 2019
- 2019
- [j1]Thach Le Nguyen, Severin Gsponer, Iulia Ilie, Martin O'Reilly, Georgiana Ifrim:
Interpretable time series classification using linear models and multi-resolution multi-domain symbolic representations. Data Min. Knowl. Discov. 33(4): 1183-1222 (2019) - 2018
- [i1]Thach Le Nguyen, Severin Gsponer, Iulia Ilie, Georgiana Ifrim:
Interpretable Time Series Classification using All-Subsequence Learning and Symbolic Representations in Time and Frequency Domains. CoRR abs/1808.04022 (2018) - 2017
- [c2]Thach Le Nguyen, Severin Gsponer, Georgiana Ifrim:
Time Series Classification by Sequence Learning in All-Subsequence Space. ICDE 2017: 947-958 - 2014
- [c1]Thach Le Nguyen, Daniel Stein, Michael Stadtschnitzer:
Gradient-free decoding parameter optimization on automatic speech recognition. ICASSP 2014: 3261-3265
Coauthor Index
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