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:
TREPAN Reloaded: A Knowledge-Driven Approach to Explaining Black-Box Models
Roberto Confalonieri, Tillman Weyde, Brosvic Trueman R., et al.
Frontiers in artificial intelligence and applications (2020)
Closed Access | Times Cited: 13
Roberto Confalonieri, Tillman Weyde, Brosvic Trueman R., et al.
Frontiers in artificial intelligence and applications (2020)
Closed Access | Times Cited: 13
Showing 13 citing articles:
A historical perspective of explainable Artificial Intelligence
Roberto Confalonieri, Ludovik Çoba, B.J. Wagner, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 254
Roberto Confalonieri, Ludovik Çoba, B.J. Wagner, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 254
Using ontologies to enhance human understandability of global post-hoc explanations of black-box models
Roberto Confalonieri, Tillman Weyde, Tarek R. Besold, et al.
Artificial Intelligence (2021) Vol. 296, pp. 103471-103471
Open Access | Times Cited: 92
Roberto Confalonieri, Tillman Weyde, Tarek R. Besold, et al.
Artificial Intelligence (2021) Vol. 296, pp. 103471-103471
Open Access | Times Cited: 92
Mitigating Bias in Algorithmic Systems—A Fish-eye View
Kalia Orphanou, Jahna Otterbacher, Styliani Kleanthous, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 5, pp. 1-37
Open Access | Times Cited: 32
Kalia Orphanou, Jahna Otterbacher, Styliani Kleanthous, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 5, pp. 1-37
Open Access | Times Cited: 32
User Perception of Ontology-Based Explanations of AI Models
Anton Agafonov, Andrew Ponomarev, Alexander Smirnov
Communications in computer and information science (2025), pp. 396-414
Closed Access
Anton Agafonov, Andrew Ponomarev, Alexander Smirnov
Communications in computer and information science (2025), pp. 396-414
Closed Access
RecoXplainer: A Library for Development and Offline Evaluation of Explainable Recommender Systems
Ludovik Çoba, Roberto Confalonieri, Markus Zanker
IEEE Computational Intelligence Magazine (2022) Vol. 17, Iss. 1, pp. 46-58
Open Access | Times Cited: 14
Ludovik Çoba, Roberto Confalonieri, Markus Zanker
IEEE Computational Intelligence Magazine (2022) Vol. 17, Iss. 1, pp. 46-58
Open Access | Times Cited: 14
Towards Ontologically Explainable Classifiers
Grégory Bourguin, Arnaud Lewandowski, Mourad Bouneffa, et al.
Lecture notes in computer science (2021), pp. 472-484
Open Access | Times Cited: 16
Grégory Bourguin, Arnaud Lewandowski, Mourad Bouneffa, et al.
Lecture notes in computer science (2021), pp. 472-484
Open Access | Times Cited: 16
Ontology Concept Extraction Algorithm for Deep Neural Networks
Andrew Ponomarev, Anton Agafonov
(2022), pp. 221-226
Closed Access | Times Cited: 9
Andrew Ponomarev, Anton Agafonov
(2022), pp. 221-226
Closed Access | Times Cited: 9
A Framework for Analyzing Fairness, Accountability, Transparency and Ethics: A Use-case in Banking Services
Ettore Mariotti, José M. Alonso, Roberto Confalonieri
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2021), pp. 1-6
Open Access | Times Cited: 7
Ettore Mariotti, José M. Alonso, Roberto Confalonieri
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2021), pp. 1-6
Open Access | Times Cited: 7
FIDES: An ontology-based approach for making machine learning systems accountable
Izaskun Fernández, Cristina Aceta, Eduardo Gilabert, et al.
Journal of Web Semantics (2023) Vol. 79, pp. 100808-100808
Open Access | Times Cited: 2
Izaskun Fernández, Cristina Aceta, Eduardo Gilabert, et al.
Journal of Web Semantics (2023) Vol. 79, pp. 100808-100808
Open Access | Times Cited: 2
RevelioNN: Retrospective Extraction of Visual and Logical Insights for Ontology-Based Interpretation of Neural Networks
Anton Agafonov, Andrew Ponomarev
(2023), pp. 3-9
Closed Access | Times Cited: 2
Anton Agafonov, Andrew Ponomarev
(2023), pp. 3-9
Closed Access | Times Cited: 2
Ontology-Based Neuro-Symbolic AI: Effects on Prediction Quality and Explainability
Alexander Smirnov, Andrew Ponomarev, Anton Agafonov
IEEE Access (2024) Vol. 12, pp. 156609-156626
Open Access
Alexander Smirnov, Andrew Ponomarev, Anton Agafonov
IEEE Access (2024) Vol. 12, pp. 156609-156626
Open Access
A unified framework for managing sex and gender bias in AI models for healthcare
Roberto Confalonieri, Federico Lucchesi, Giovanni Maffei, et al.
Elsevier eBooks (2022), pp. 179-204
Closed Access | Times Cited: 2
Roberto Confalonieri, Federico Lucchesi, Giovanni Maffei, et al.
Elsevier eBooks (2022), pp. 179-204
Closed Access | Times Cited: 2
Ontology-Based Post-Hoc Explanations via Simultaneous Concept Extraction*
Andrew Ponomarev, Anton Agafonov
(2022), pp. 887-890
Closed Access
Andrew Ponomarev, Anton Agafonov
(2022), pp. 887-890
Closed Access
