Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Instance-Based Counterfactual Explanations for Time Series Classification
Eoin Delaney, Derek Greene, Mark T. Keane
Lecture notes in computer science (2021), pp. 32-47
Closed Access | Times Cited: 71

Showing 51-75 of 71 citing articles:

Counterfactual Explanation for Multivariate Times Series Using A Contrastive Variational Autoencoder
William Todo, Merwann Selmani, Béatrice Laurent, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
Closed Access | Times Cited: 1
Counterfactual explanations for machine learning models on heterogeneous data
Yongjie Wang
(2023)
Open Access | Times Cited: 1
Counterfactual Explanations for Remote Sensing Time Series Data: An Application to Land Cover Classification
Cássio F. Dantas, Thalita Firmo Drumond, Diego Marcos, et al.
Lecture notes in computer science (2023), pp. 20-36
Closed Access | Times Cited: 1
Sub-SpaCE: Subsequence-based Sparse Counterfactual Explanations for Time Series Classification Problems
Mario Refoyo, David Luengo
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Machine Learning Classifiers Explanations with Prototype Counterfactual
A. Sasi Kumar, Shivam Dwivedi, Aditya Mehta, et al.
Communications in computer and information science (2024), pp. 157-169
Closed Access
Investigating the Quality of Explainable Artificial Intelligence: A Survey on Various Techniques of Post hoc
Tasleem Nizam, Sherin Zafar, Siddhartha Sankar Biswas, et al.
Lecture notes in networks and systems (2024), pp. 147-163
Closed Access
Interpretable ML Model for Quality Control of Locks Using Counterfactual Explanations
Tim Andersson, Markus Bohlin, Mats Ahlskog, et al.
(2024), pp. 161-166
Open Access
Using Case-Based Causal Reasoning to Provide Explainable Counterfactual Diagnosis in Personalized Sprint Training
Dandan Cui, Jianwei Guo, Ping Liu, et al.
Lecture notes in computer science (2024), pp. 418-429
Closed Access
COMET: Constrained Counterfactual Explanations for Patient Glucose Multivariate Forecasting
Zhendong Wang, Isak Samsten, Ioanna Miliou, et al.
(2024), pp. 502-507
Closed Access
Unraveling Block Maxima Forecasting Models with Counterfactual Explanation
Yue Deng, Asadullah Hill Galib, Pang‐Ning Tan, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 562-573
Open Access
An Interactive Tool for Interpretability of Time Series Classification
Brigt Håvardstun, Cèsar Ferri, Jan Arne Telle
Lecture notes in computer science (2024), pp. 399-403
Closed Access
Denoising Optimization-Based Counterfactual Explanations for Time Series Classification
Omar Bahri, Peiyu Li, Pouya Hosseinzadeh, et al.
Lecture notes in computer science (2024), pp. 162-179
Closed Access
Matching the Expert’s Knowledge via a Counterfactual-Based Feature Importance Measure
Antonio Luca Alfeo, Mario G. C. A. Cimino, Guido Gagliardi
Communications in computer and information science (2024), pp. 71-86
Closed Access
Reliable Time Series Counterfactual Explanations Guided by ShapeDBA
Peiyu Li, Pouya Hosseinzadeh, Omar Bahri, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 1574-1579
Closed Access
Explaining Time Series Predictions via Relevant Shapelets
Tameem Adel
(2024), pp. 212-217
Closed Access
M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency Maps
Peiyu Li, Omar Bahri, Soukaïna Filali Boubrahimi, et al.
(2024), pp. 713-718
Closed Access
Instance-Based Counterfactual Explanations for Time Series Classification
Eoin Delaney, Derek Greene, Mark T. Keane
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 1
Robust Framework for Explanation Evaluation in Time Series Classification
Nguyễn Thu Trang, Thach Le Nguyen, Georgiana Ifrim
arXiv (Cornell University) (2023)
Open Access
MIPCE: Generating Multiple Patches Counterfactual-Changing Explanations for Time Series Classification
Hiroyuki Okumura, Tomoharu Nagao
Lecture notes in computer science (2023), pp. 231-242
Closed Access
XTSC-Bench: Quantitative Benchmarking for Explainers on Time Series Classification
Jacqueline Höllig, Steffen Thoma, Florian Grimm
(2023), pp. 1126-1131
Open Access
Twin Systems for DeepCBR: A Menagerie of Deep Learning and Case-Based Reasoning Pairings for Explanation and Data Augmentation.
Mark T. Keane, Eoin M. Kenny, Mohammed Temraz, et al.
arXiv (Cornell University) (2021)
Closed Access
Causal Inference in Non-linear Time-series using Deep Networks and Knockoff Counterfactuals.
Wasim Ahmad, Maha Shadaydeh, Joachim Denzler
arXiv (Cornell University) (2021)
Closed Access
Previous Page - Page 3

Scroll to top