6 papers
A Canonical Positive Definite Kernel Associated with the -Bergman Kernel
Sahil Gehlawat, Aakanksha Jain, Amar Deep Sarkar
Let and . The -Bergman kernel , introduced by Bao and Guan, generalizes the classical Bergman kernel by replacing the point ev…
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.…
Watch Your Step: A Cost-Sensitive Framework for Accelerometer-Based Fall Detection in Real-World Streaming Scenarios
Timilehin B. Aderinola, Luca Palmerini, Ilaria D'Ascanio +5
Real-time fall detection is crucial for enabling timely interventions and mitigating the severe health consequences of falls, particularly in older adults. However, existing method…
An Empirical Evaluation of Factors Affecting SHAP Explanation of Time Series Classification
Davide Italo Serramazza, Nikos Papadeas, Zahraa Abdallah +1
Explainable AI (XAI) has become an increasingly important topic for understanding and attributing the predictions made by complex Time Series Classification (TSC) models. Among att…
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…
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…