Who Cited It

A survey of methods for explaining black box models

2019 · ISTI Open Portal · 4,992 citations · 6 from inside this corpus

Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Franco Turini, Fosca Giannotti, Dino Pedreschi

The source holds an abstract for this work, but its best open-access copy is under other-oa, which does not permit us to republish the text. Read it at the source below.

A survey of methods for explaining black box models (2019)A survey of methods for expla…"Why Should I Trust You?" (2016)"Why Should I Trust You?"Towards A Rigorous Science of Interpretable Machine Learning (2017)Towards A Rigorous Science of…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…Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI) (2018)Peeking Inside the Black-Box:…Explainable AI: A Review of Machine Learning Interpretability Methods (2020)Explainable AI: A Review of M…Definitions, methods, and applications in interpretable machine learning (2019)Definitions, methods, and app…Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustw… (2023)Explainable Artificial Intell…Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications (2021)Explaining Deep Neural Networ…
11 of 11 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
"Why Should I Trust You?"201616,210
Towards A Rigorous Science of Interpretable Machine Learning20173,190
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
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)20186,166
Explainable AI: A Review of Machine Learning Interpretability Methods20202,907
Definitions, methods, and applications in interpretable machine learning20192,161
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustw…20231,679
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications20211,424

Links

DOI · Open access copy · OpenAlex record

Topics

Explainable Artificial Intelligence (XAI)Computer Science
Adversarial Robustness in Machine LearningComputer Science
Bayesian Modeling and Causal InferenceComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports6 author record(s) attached.
  • supports82 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:44+00:00.

sha256 648f8491aaceaa34…