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OpenAlex Citation Counts

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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:

Gaining insight through case-based explanation
Conor Nugent, Dónal Doyle, Pádraig Cunningham
Journal of Intelligent Information Systems (2008) Vol. 32, Iss. 3, pp. 267-295
Closed Access | Times Cited: 48

Showing 26-50 of 48 citing articles:

“Better” Counterfactuals, Ones People Can Understand: Psychologically-Plausible Case-Based Counterfactuals Using Categorical Features for Explainable AI (XAI)
Greta Warren, Barry Smyth, Mark T. Keane
Lecture notes in computer science (2022), pp. 63-78
Closed Access | Times Cited: 9
An English-Language Argumentation Interface for Explanation Generation with Markov Decision Processes in the Domain of Academic Advising
Thomas B. Dodson, Nicholas Mattei, Joshua T. Guerin, et al.
ACM Transactions on Interactive Intelligent Systems (2013) Vol. 3, Iss. 3, pp. 1-30
Open Access | Times Cited: 16
Applying Class-to-Class Siamese Networks to Explain Classifications with Supportive and Contrastive Cases
Xiaomeng Ye, David Leake, William H. Huibregtse, et al.
Lecture notes in computer science (2020), pp. 245-260
Closed Access | Times Cited: 12
Real-Time, Model-Agnostic and User-Driven Counterfactual Explanations Using Autoencoders
Jokin Labaien, Ekhi Zugasti, Xabier De Carlos
Applied Sciences (2023) Vol. 13, Iss. 5, pp. 2912-2912
Open Access | Times Cited: 4
Interpretable Regional Descriptors: Hyperbox-Based Local Explanations
Susanne Dandl, Giuseppe Casalicchio, Bernd Bischl, et al.
Lecture notes in computer science (2023), pp. 479-495
Closed Access | Times Cited: 4
Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI)
Mark T. Keane, Barry Smyth
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 9
Learning Adaptations for Case-Based Classification: A Neural Network Approach
Xiaomeng Ye, David Leake, Vahid Jalali, et al.
Lecture notes in computer science (2021), pp. 279-293
Closed Access | Times Cited: 9
Case-Based Reasoning for Explaining Probabilistic Machine Learning
Tomas Olsson, Daniel Gillblad, Peter Funk, et al.
International Journal of Computer Science and Information Technology (2014) Vol. 6, Iss. 2, pp. 87-101
Open Access | Times Cited: 6
INVESTIGATING THE IMPACT OF EXPLANATION ON REPAIRING TRUST IN AI DIAGNOSTIC SYSTEMS FOR RE-DIAGNOSIS
Lamia Alam
(2020)
Open Access | Times Cited: 6
On the Pros and Cons of Explanation-Based Ranking
Khalil Muhammad, Aonghus Lawlor, Barry Smyth
Lecture notes in computer science (2017), pp. 227-241
Closed Access | Times Cited: 5
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques
Mark T. Keane, Eoin M. Kenny, Eoin Delaney, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 5
Handling Climate Change Using Counterfactuals: Using Counterfactuals in Data Augmentation to Predict Crop Growth in an Uncertain Climate Future
Mohammed Temraz, Eoin M. Kenny, E. Ruelle, et al.
Lecture notes in computer science (2021), pp. 216-231
Closed Access | Times Cited: 5
Lessons learned from development of a software tool to support academic advising
Nicholas Mattei, Thomas B. Dodson, Joshua T. Guerin, et al.
(2014), pp. 1-8
Open Access | Times Cited: 4
Case-Based Reasoning for Explaining Probabilistic Machine Learning
Tomas Olsson, Daniel Gillblad, Peter Funk, et al.
arXiv (Cornell University) (2014) Vol. 6, Iss. 2, pp. 87-101
Open Access | Times Cited: 4
Even-Ifs from If-Onlys: Are the Best Semi-factual Explanations Found Using Counterfactuals as Guides?
Saugat Aryal, Mark T. Keane
Lecture notes in computer science (2024), pp. 33-49
Closed Access
Semifactual Explanations for Reinforcement Learning
Jasmina Gajcin, Jovan Jeromela, Ivana Dusparić
(2024), pp. 167-175
Open Access
Explaining Black Box Models Through Twin Systems
Federico Maria Cau
(2020), pp. 27-28
Closed Access | Times Cited: 1
Instance-Based Counterfactual Explanations for Time Series Classification
Eoin Delaney, Derek Greene, Mark T. Keane
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 1
K-Nearest Neighbour algorithm coupled with logistic regression in medical case-based reasoning systems. Application to prediction of access to the renal transplant waiting list in Brittany
Boris Campillo‐Gimenez, Wassim Jouini, Sahar Bayat, et al.
arXiv (Cornell University) (2013)
Open Access
Lessons Learned from Creating a Course Advising Tool
Nicholas Mattei, Thomas B. Dodson, Joshua T. Guerin, et al.
arXiv (Cornell University) (2013)
Closed Access
User tests & techniques for the post-hoc explanation of deep learning
Eoin Delaney, Eoin M. Kenny, Derek Greene, et al.
Elsevier eBooks (2023), pp. 263-291
Closed Access
Medical Critiquing Systems
Ian Douglas
Advances in medical technologies and clinical practice book series (2012), pp. 209-222
Closed Access
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