Who Cited It

Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)

2018 · IEEE Access · 6,166 citations · 5 from inside this corpus

Amina Adadi, Mohammed Berrada

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI) (2018)Peeking Inside the Black-Box:…Distributed Representations of Words and Phrases and their Compositionality (2013)Distributed Representations o…"Why Should I Trust You?" (2016)"Why Should I Trust You?"Distilling the Knowledge in a Neural Network (2015)Distilling the Knowledge in a…On a Method to Measure Supervised Multiclass Model’s Interpretability: Application to Deg… (2024)On a Method to Measure Superv…Mastering the game of Go without human knowledge (2017)Mastering the game of Go with…A survey of methods for explaining black box models (2019)A survey of methods for expla…Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author) (2001)Statistical Modeling: The Two…Towards A Rigorous Science of Interpretable Machine Learning (2017)Towards A Rigorous Science of…Axiomatic Attribution for Deep Networks (2017)Axiomatic Attribution for Dee…Anchors: High-Precision Model-Agnostic Explanations (2018)Anchors: High-Precision Model…Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual C… (2014)Peeking Inside the Black Box:…Intelligible Models for HealthCare (2015)Intelligible Models for Healt…Explaining nonlinear classification decisions with deep Taylor decomposition (2016)Explaining nonlinear classifi…Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe… (2019)Explainable Artificial Intell…Explainable AI: A Review of Machine Learning Interpretability Methods (2020)Explainable AI: A Review of M…Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence (2023)Interpreting Black-Box Models…Machine Learning Interpretability: A Survey on Methods and Metrics (2019)Machine Learning Interpretabi…Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustw… (2023)Explainable Artificial Intell…
18 of 18 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
Distributed Representations of Words and Phrases and their Compositionality201318,054
"Why Should I Trust You?"201616,210
Distilling the Knowledge in a Neural Network201514,099
On a Method to Measure Supervised Multiclass Model’s Interpretability: Application to Deg…202413,528
Mastering the game of Go without human knowledge20179,313
A survey of methods for explaining black box models20194,992
Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)20014,362
Towards A Rigorous Science of Interpretable Machine Learning20173,190
Axiomatic Attribution for Deep Networks20172,650
Anchors: High-Precision Model-Agnostic Explanations20182,124
Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual C…20141,838
Intelligible Models for HealthCare20151,693
Explaining nonlinear classification decisions with deep Taylor decomposition20161,413

What cites it, inside the corpus

PaperYearCited
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe…20199,796
Explainable AI: A Review of Machine Learning Interpretability Methods20202,907
Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence20231,981
Machine Learning Interpretability: A Survey on Methods and Metrics20191,822
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustw…20231,679

Links

DOI · Open access copy · OpenAlex record

Topics

Explainable Artificial Intelligence (XAI)Computer Science
Adversarial Robustness in Machine LearningComputer Science
Artificial Intelligence in Healthcare and EducationMedicine

Is this record sound?

complete

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  • supports2 author record(s) attached.
  • supports201 reference(s) recorded.
  • supportsThe DOI's year agrees with the publication year.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:43+00:00.

sha256 5cad55ac5d4d41e1…