15 citations · 15 across the 6 of their papers we have counts for
6 papers
Scaling Time Series Classification via XAI-Driven Data Reduction
Davide Italo Serramazza, Thach Le Nguyen, Georgiana Ifrim
Explainable AI (XAI) for time series has seen significant algorithmic growth, but its utility in providing measurable performance gains for downstream tasks remains under-explored.…
Improving the Evaluation and Actionability of Explanation Methods for Multivariate Time Series Classification
Davide Italo Serramazza, Thach Le Nguyen, Georgiana Ifrim
Explanation for Multivariate Time Series Classification (MTSC) is an important topic that is under explored. There are very few quantitative evaluation methodologies and even fewer…
Evaluating Explanation Methods for Multivariate Time Series Classification
Davide Italo Serramazza, Thu Trang Nguyen, Thach Le Nguyen +1
Multivariate time series classification is an important computational task arising in applications where data is recorded over time and over multiple channels. For example, a smart…
An Examination of Wearable Sensors and Video Data Capture for Human Exercise Classification
Ashish Singh, Antonio Bevilacqua, Timilehin B. Aderinola +5
Wearable sensors such as Inertial Measurement Units (IMUs) are often used to assess the performance of human exercise. Common approaches use handcrafted features based on domain ex…
Robust Explainer Recommendation for Time Series Classification
Thu Trang Nguyen, Thach Le Nguyen, Georgiana Ifrim
Time series classification is a task which deals with temporal sequences, a prevalent data type common in domains such as human activity recognition, sports analytics and general s…
Scalable Classifier-Agnostic Channel Selection for Multivariate Time Series Classification
Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim
Accuracy is a key focus of current work in time series classification. However, speed and data reduction in many applications is equally important, especially when the data scale a…