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2012.00073
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TimeSHAP: Explaining Recurrent Models through Sequence Perturbations
Knowledge Discovery and Data Mining (KDD), 2020
30 November 2020
João Bento
Pedro Saleiro
André F. Cruz
Mário A. T. Figueiredo
P. Bizarro
FAtt
AI4TS
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Papers citing
"TimeSHAP: Explaining Recurrent Models through Sequence Perturbations"
46 / 46 papers shown
Delta-XAI: A Unified Framework for Explaining Prediction Changes in Online Time Series Monitoring
Changhun Kim
Yechan Mun
Hyeongwon Jang
Eunseo Lee
Sangchul Hahn
Eunho Yang
AI4TS
172
0
0
28 Nov 2025
Lightweight Time Series Data Valuation on Time Series Foundation Models via In-Context Finetuning
Shunyu Wu
Tianyue Li
Yixuan Leng
Jingyi Suo
Jian Lou
Dan Li
See-Kiong Ng
AI4TS
142
0
0
10 Nov 2025
Counterfactual Explanation for Multivariate Time Series Forecasting with Exogenous Variables
Keita Kinjo
AI4TS
CML
732
0
0
10 Nov 2025
AXIS: Explainable Time Series Anomaly Detection with Large Language Models
Tian-Shing Lan
Hao Duong Le
Jinbo Li
Wenjun He
Meng Wang
Chenghao Liu
Chen Zhang
AI4TS
316
0
0
29 Sep 2025
HyMaTE: A Hybrid Mamba and Transformer Model for EHR Representation Learning
Md Mozaharul Mottalib
T. Phan
Rahmatollah Beheshti
Mamba
236
2
0
28 Sep 2025
Multi-Hazard Early Warning Systems for Agriculture with Featural-Temporal Explanations
Boyuan Zheng
Victor W. Chu
171
0
0
30 Jul 2025
OrdShap: Feature Position Importance for Sequential Black-Box Models
Davin Hill
Brian L. Hill
A. Masoomi
Vijay S. Nori
Robert E. Tillman
Jennifer Dy
FAtt
370
0
0
16 Jul 2025
Few Labels are all you need: A Weakly Supervised Framework for Appliance Localization in Smart-Meter Series
IEEE International Conference on Data Engineering (ICDE), 2025
Adrien Petralia
Paul Boniol
Philippe Charpentier
Themis Palpanas
272
3
0
06 Jun 2025
Benchmarking Time-localized Explanations for Audio Classification Models
Cecilia Bolaños
L. Pepino
Martin Meza
Luciana Ferrer
335
2
0
04 Jun 2025
Rating Quality of Diverse Time Series Data by Meta-learning from LLM Judgment
Shunyu Wu
Dan Li
Haozheng Ye
Zhuomin Chen
Jiahui Zhou
Jian Lou
AI4TS
246
0
0
02 Jun 2025
C-SHAP for time series: An approach to high-level temporal explanations
Annemarie Jutte
Faizan Ahmed
Jeroen Linssen
Maurice van Keulen
AI4TS
220
8
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
269
3
0
14 Apr 2025
Unifying Prediction and Explanation in Time-Series Transformers via Shapley-based Pretraining
International Colloquium on Signal Processing and Its Applications (CSPIA), 2025
Qisen Cheng
Jinming Xing
Chang Xue
Xiaoran Yang
AI4TS
364
10
0
28 Jan 2025
Explainable Reinforcement Learning for Formula One Race Strategy
ACM Symposium on Applied Computing (SAC), 2025
Devin Thomas
Junqi Jiang
Avinash Kori
Aaron Russo
Steffen Winkler
Stuart Sale
Joseph McMillan
Francesco Belardinelli
Antonio Rago
LRM
316
3
0
07 Jan 2025
A Comprehensive Study of Shapley Value in Data Analytics
Proceedings of the VLDB Endowment (PVLDB), 2024
Hong Lin
Shixin Wan
Zhongle Xie
Ke Chen
Meihui Zhang
Lidan Shou
Gang Chen
884
4
0
02 Dec 2024
Feature Importance in Pedestrian Intention Prediction: A Context-Aware Review
Mohsen Azarmi
Mahdi Rezaei
He Wang
Ali Arabian
257
4
0
11 Sep 2024
TimeInf: Time Series Data Contribution via Influence Functions
Yizi Zhang
Jingyan Shen
Xiaoxue Xiong
Yongchan Kwon
AI4TS
TDI
572
4
0
21 Jul 2024
CAFO: Feature-Centric Explanation on Time Series Classification
Jaeho Kim
S. Hahn
Yoontae Hwang
Junghye Lee
Seulki Lee
AI4TS
299
3
0
03 Jun 2024
TimeX++: Learning Time-Series Explanations with Information Bottleneck
International Conference on Machine Learning (ICML), 2024
Zichuan Liu
Tianchun Wang
Jimeng Shi
Xu Zheng
Zhuomin Chen
Lei Song
Wenqian Dong
J. Obeysekera
Farhad Shirani
Dongsheng Luo
AI4TS
305
33
0
15 May 2024
Explaining Clustering of Ecological Momentary Assessment Data Through Temporal and Feature Attention
Mandani Ntekouli
Gerasimos Spanakis
L. Waldorp
A. Roefs
228
1
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
219
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
464
0
0
29 Jan 2024
Explaining Time Series via Contrastive and Locally Sparse Perturbations
International Conference on Learning Representations (ICLR), 2024
Zichuan Liu
Yingying Zhang
Tianchun Wang
Zefan Wang
Dongsheng Luo
...
Min Wu
Yi Wang
Chunlin Chen
Lunting Fan
Qingsong Wen
423
25
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
187
1
0
18 Dec 2023
XAI for time-series classification leveraging image highlight methods
International ACM Conference on Management of Emergent Digital EcoSystems (MEDES), 2023
Georgios Makridis
G. Fatouros
Vasileios Koukos
Dimitrios Kotios
D. Kyriazis
Ioannis Soldatos
AI4TS
260
3
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
464
29
0
16 Nov 2023
Towards Faithful Neural Network Intrinsic Interpretation with Shapley Additive Self-Attribution
Ying Sun
Hengshu Zhu
Huixia Xiong
TDI
FAtt
MILM
378
2
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
252
2
0
04 Sep 2023
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency
Neural Information Processing Systems (NeurIPS), 2023
Owen Queen
Thomas Hartvigsen
Teddy Koker
Huan He
Theodoros Tsiligkaridis
Marinka Zitnik
AI4TS
393
40
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
330
22
0
23 May 2023
A Comparative Study of Methods for Estimating Conditional Shapley Values and When to Use Them
Data mining and knowledge discovery (DMKD), 2023
Lars Henry Berge Olsen
I. Glad
Martin Jullum
K. Aas
FAtt
244
31
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
157
2
0
27 Mar 2023
Improving Prediction Performance and Model Interpretability through Attention Mechanisms from Basic and Applied Research Perspectives
Shunsuke Kitada
FaML
HAI
AI4CE
198
1
0
24 Mar 2023
Interpretable Ensembles of Hyper-Rectangles as Base Models
A. Konstantinov
Lev V. Utkin
407
4
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
312
15
0
08 Mar 2023
TemporAI: Facilitating Machine Learning Innovation in Time Domain Tasks for Medicine
Evgeny S. Saveliev
M. Schaar
262
7
0
28 Jan 2023
WindowSHAP: An Efficient Framework for Explaining Time-series Classifiers based on Shapley Values
Journal of Biomedical Informatics (JBI), 2022
Amin Nayebi
Sindhu Tipirneni
Chandan K. Reddy
Brandon Foreman
V. Subbian
FAtt
AI4TS
284
54
0
11 Nov 2022
Class-Specific Explainability for Deep Time Series Classifiers
Industrial Conference on Data Mining (IDM), 2022
Ramesh Doddaiah
Prathyush S. Parvatharaju
Elke A. Rundensteiner
Thomas Hartvigsen
FAtt
AI4TS
242
5
0
11 Oct 2022
Feature Importance for Time Series Data: Improving KernelSHAP
M. Villani
J. Lockhart
Daniele Magazzeni
FAtt
AI4TS
242
13
0
05 Oct 2022
SurvSHAP(t): Time-dependent explanations of machine learning survival models
Knowledge-Based Systems (KBS), 2022
Mateusz Krzyzinski
Mikolaj Spytek
Hubert Baniecki
P. Biecek
FAtt
AI4TS
319
100
0
23 Aug 2022
Neural Additive Models for Nowcasting
Wonkeun Jo
Dongil Kim
292
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
289
21
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
308
12
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
432
9
0
16 Jun 2021
Ensembles of Random SHAPs
Lev V. Utkin
A. Konstantinov
FAtt
241
22
0
04 Mar 2021
Feature Importance Explanations for Temporal Black-Box Models
AAAI Conference on Artificial Intelligence (AAAI), 2021
Akshay Sood
M. Craven
FAtt
OOD
337
24
0
23 Feb 2021
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