Publications

DAMI2024

Robust Explainer Recommendation for Time Series Classification [PDF] [Code]

Thu Trang Nguyen, Thach Le Nguyen, Georgiana Ifrim
In Data Mining and Knowledge Discovery, 2024


AALTD2023-1

Explaining Fatigue in Runners using Time Series Analysis on Wearable Sensor Data [PDF]

Bahavathy Kathirgamanathan, Thu Trang Nguyen, Brian Caulfield, Georgiana Ifrim, and Padraig Cunningham
n XKDD 2023: 5th International Workshop on eXplainable Knowledge Discovery in Data Mining, ECML PKDD 2023.


AALTD2023-2

Evaluating Explanation Methods for Multivariate Time Series Classification [PDF] [Code]

Davide Italo Serramazza, Thu Trang Nguyen, Thach Le Nguyen, Georgiana Ifrim
In In AALTD 2023: Advanced Analytics and Learning on Temporal Data, ECML PKDD 2023. Lecture Notes in Computer Science, vol 14343, pp 159–175. Springer, Cham.


AALTD2021

Ranking by Aggregating Referees: Evaluating the Informativeness of Explanation Methods for Time Series Classification [PDF]

Surabhi Agarwal, Thu Trang Nguyen, Thach Le Nguyen, Georgiana Ifrim
In In AALTD 2021: Advanced Analytics and Learning on Temporal Data, ECML PKDD 2021. Lecture Notes in Computer Science, vol 13114, pp 3–20. Springer, Cham.


AALTD2020

A Model-Agnostic Approach to Quantifying the Informativeness of Explanation Methods for Time Series Classification [PDF] [Slides] [Code]

Thu Trang Nguyen, Thach Le Nguyen, Georgiana Ifrim
AALTD 2020: Advanced Analytics and Learning on Temporal Data, ECML PKDD 2020. Lecture Notes in Computer Science, vol 12588, pp 77–94. Springer, Cham.