TimeSHAP: Explaining Recurrent Models through Sequence Perturbations

30 November 2020

João Bento

Pedro Saleiro

André F. Cruz

Mário A. T. Figueiredo

Papers citing "TimeSHAP: Explaining Recurrent Models through Sequence Perturbations"

35 / 35 papers shown

Title
C-SHAP for time series: An approach to high-level temporal explanations Annemarie Jutte Faizan Ahmed Jeroen Linssen Maurice van Keulen AI4TS 26 0 0 15 Apr 2025
GlyTwin: Digital Twin for Glucose Control in Type 1 Diabetes Through Optimal Behavioral Modifications Using Patient-Centric Counterfactuals Asiful Arefeen Saman Khamesian Maria Adela Grando Bithika Thompson Hassan Ghasemzadeh 36 0 0 14 Apr 2025
Unifying Prediction and Explanation in Time-Series Transformers via Shapley-based Pretraining Qisen Cheng Jinming Xing Chang Xue Xiaoran Yang AI4TS 33 3 0 28 Jan 2025
Explainable Reinforcement Learning for Formula One Race Strategy Devin Thomas Junqi Jiang Avinash Kori Aaron Russo Steffen Winkler Stuart Sale Joseph McMillan Francesco Belardinelli Antonio Rago LRM 35 0 0 07 Jan 2025
Feature Importance in Pedestrian Intention Prediction: A Context-Aware Review Mohsen Azarmi Mahdi Rezaei He Wang Ali Arabian 37 1 0 11 Sep 2024
TimeInf: Time Series Data Contribution via Influence Functions Yizi Zhang Jingyan Shen Xiaoxue Xiong Yongchan Kwon AI4TS TDI 31 0 0 21 Jul 2024
CAFO: Feature-Centric Explanation on Time Series Classification Jaeho Kim S. Hahn Yoontae Hwang Junghye Lee Seulki Lee AI4TS 31 1 0 03 Jun 2024
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 37 7 0 15 May 2024
Explaining Clustering of Ecological Momentary Assessment Data Through Temporal and Feature Attention Mandani Ntekouli Gerasimos Spanakis L. Waldorp A. Roefs 24 0 0 08 May 2024
Clustering and Data Augmentation to Improve Accuracy of Sleep Assessment and Sleep Individuality Analysis Shintaro Tamai M. Numao Ken-ichi Fukui 28 0 0 16 Apr 2024
Dual feature-based and example-based explanation methods A. Konstantinov Boris V. Kozlov Stanislav R. Kirpichenko Lev V. Utkin FAtt 28 0 0 29 Jan 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 30 10 0 16 Jan 2024
ShuttleSHAP: A Turn-Based Feature Attribution Approach for Analyzing Forecasting Models in Badminton Wei-Yao Wang Wenjie Peng Wei Wang Philip S. Yu 38 0 0 18 Dec 2023
XAI for time-series classification leveraging image highlight methods Georgios Makridis G. Fatouros Vasileios Koukos Dimitrios Kotios D. Kyriazis Ioannis Soldatos AI4TS 33 1 0 28 Nov 2023
Inherently Interpretable Time Series Classification via Multiple Instance Learning Joseph Early Gavin K. C. Cheung Kurt Cutajar Hanting Xie Jas Kandola Niall Twomey AI4TS 30 11 0 16 Nov 2023
Towards Faithful Neural Network Intrinsic Interpretation with Shapley Additive Self-Attribution Ying Sun Hengshu Zhu Huixia Xiong TDI FAtt MILM 22 1 0 27 Sep 2023
On the Consistency and Robustness of Saliency Explanations for Time Series Classification Chiara Balestra Bin Li Emmanuel Muller FAtt XAI AAML AI4TS 11 2 0 04 Sep 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
Interpretation of Time-Series Deep Models: A Survey Ziqi Zhao Yucheng Shi Shushan Wu Fan Yang Wenzhan Song Ninghao Liu AI4TS 34 6 0 23 May 2023
A Comparative Study of Methods for Estimating Conditional Shapley Values and When to Use Them Lars Henry Berge Olsen I. Glad Martin Jullum K. Aas FAtt 54 12 0 16 May 2023
Prediction of Time and Distance of Trips Using Explainable Attention-based LSTMs Ebrahim Balouji J. Sjöblom Nikolce Murgovski M. Chehreghani AI4TS 19 1 0 27 Mar 2023
Improving Prediction Performance and Model Interpretability through Attention Mechanisms from Basic and Applied Research Perspectives Shunsuke Kitada FaML HAI AI4CE 32 0 0 24 Mar 2023
Interpretable Ensembles of Hyper-Rectangles as Base Models A. Konstantinov Lev V. Utkin 30 3 0 15 Mar 2023
Mining the contribution of intensive care clinical course to outcome after traumatic brain injury Shubhayu Bhattacharyay P. Caruso Cecilia Åkerlund L. Wilson R. Stevens D. Menon E. Steyerberg D. Nelson A. Ercole the CENTER-TBI investigators/participants 13 9 0 08 Mar 2023
TemporAI: Facilitating Machine Learning Innovation in Time Domain Tasks for Medicine Evgeny S. Saveliev M. Schaar 24 4 0 28 Jan 2023
WindowSHAP: An Efficient Framework for Explaining Time-series Classifiers based on Shapley Values Amin Nayebi Sindhu Tipirneni Chandan K. Reddy Brandon Foreman V. Subbian FAtt AI4TS 16 18 0 11 Nov 2022
Class-Specific Explainability for Deep Time Series Classifiers Ramesh Doddaiah Prathyush S. Parvatharaju Elke A. Rundensteiner Thomas Hartvigsen FAtt AI4TS 37 4 0 11 Oct 2022
Feature Importance for Time Series Data: Improving KernelSHAP M. Villani J. Lockhart Daniele Magazzeni FAtt AI4TS 40 6 0 05 Oct 2022
SurvSHAP(t): Time-dependent explanations of machine learning survival models Mateusz Krzyzinski Mikolaj Spytek Hubert Baniecki P. Biecek FAtt AI4TS 26 76 0 23 Aug 2022
Neural Additive Models for Nowcasting Wonkeun Jo Dongil Kim 15 4 0 20 May 2022
A Song of (Dis)agreement: Evaluating the Evaluation of Explainable Artificial Intelligence in Natural Language Processing Michael Neely Stefan F. Schouten Maurits J. R. Bleeker Ana Lucic XAI 19 16 0 09 May 2022
Diverse Counterfactual Explanations for Anomaly Detection in Time Series Deborah Sulem Michele Donini Muhammad Bilal Zafar François-Xavier Aubet Jan Gasthaus Tim Januschowski Sanjiv Ranjan Das K. Kenthapadi Cédric Archambeau AAML 32 10 0 21 Mar 2022
An Imprecise SHAP as a Tool for Explaining the Class Probability Distributions under Limited Training Data Lev V. Utkin A. Konstantinov Kirill Vishniakov FAtt 29 5 0 16 Jun 2021
Ensembles of Random SHAPs Lev V. Utkin A. Konstantinov FAtt 16 20 0 04 Mar 2021
Feature Importance Explanations for Temporal Black-Box Models Akshay Sood M. Craven FAtt OOD 25 15 0 23 Feb 2021