Temporal Dependencies in Feature Importance for Time Series Predictions

Temporal Dependencies in Feature Importance for Time Series Predictions

29 July 2021

Papers citing "Temporal Dependencies in Feature Importance for Time Series Predictions"

9 / 9 papers shown

Title
Time-series attribution maps with regularized contrastive learning Steffen Schneider Rodrigo González Laiz Anastasiia Filippova Markus Frey Mackenzie W. Mathis BDL FAtt CML AI4TS 76 0 0 17 Feb 2025
TimeX++: Learning Time-Series Explanations with Information Bottleneck Zichuan Liu Tianchun Wang Jimeng Shi Xu Zheng Zhuomin Chen Lei Song Wenqian Dong J. Obeysekera Farhad Shirani Dongsheng Luo AI4TS 24 7 0 15 May 2024
A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model Jiexia Ye Weiqi Zhang Ke Yi Yongzi Yu Ziyue Li Jia Li Fugee Tsung AI4TS AI4CE 43 22 0 03 May 2024
Explaining Time Series via Contrastive and Locally Sparse Perturbations Zichuan Liu Yingying Zhang Tianchun Wang Zefan Wang Dongsheng Luo ... Min Wu Yi Wang Chunlin Chen Lunting Fan Qingsong Wen 25 10 0 16 Jan 2024
Inherently Interpretable Time Series Classification via Multiple Instance Learning Joseph Early Gavin K. C. Cheung Kurt Cutajar Hanting Xie Jas Kandola Niall Twomey AI4TS 25 11 0 16 Nov 2023
Robust Explainer Recommendation for Time Series Classification Thu Trang Nguyen Thach le Nguyen Georgiana Ifrim AI4TS 29 5 0 08 Jun 2023
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency Owen Queen Thomas Hartvigsen Teddy Koker Huan He Theodoros Tsiligkaridis Marinka Zitnik AI4TS 37 17 0 03 Jun 2023
Latent Temporal Flows for Multivariate Analysis of Wearables Data Magda Amiridi Gregory Darnell S. Jewell AI4TS 17 2 0 14 Oct 2022
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 230 3,681 0 28 Feb 2017