mlsanityData to 7 Oct 2026

The State of the Art in Integrating Machine Learning into Visual Analytics

arXiv 1802.07954 ↗First posted 22 Feb 2018stat.ML cs.HC cs.LGcited by 24

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Abstract (arXiv)

Visual analytics systems combine machine learning or other analytic techniques with interactive data visualization to promote sensemaking and analytical reasoning. It is through such techniques that people can make sense of large, complex data. While progress has been made, the tactful combination of machine learning and data visualization is still under-explored. This state-of-the-art report presents a summary of the progress that has been made by highlighting and synthesizing select research advances. Further, it presents opportunities and challenges to enhance the synergy between machine learning and visual analytics for impactful future research directions.

Key facts. Cited by 24 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 Feb 2018.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 2; 2022: 9; 2023: 6; 2024: 0; 2025: 4; 2026: 3.

24 papers.

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  1. 2021Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safetycited by 35
  2. 2022Going Beyond XAI: A Systematic Survey for Explanation-Guided Learningcited by 35
  3. 2022DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualizationcited by 32
  4. 2022The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizationscited by 29
  5. 2022Visual Knowledge Discovery with Artificial Intelligence: Challenges and Future Directionscited by 3
  6. 2022Learnable Optimal Sequential Grouping for Video Scene Detectioncited by 3
  7. 2023Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Researchcited by 3
  8. 2025Visual Analytics for Explainable and Trustworthy Artificial Intelligencecited by 3
  9. 2021PSEUDo: Interactive Pattern Search in Multivariate Time Series with Locality-Sensitive Hashing and Relevance Feedbackcited by 2
  10. 2023HAiVA: Hybrid AI-assisted Visual Analysis Framework to Study the Effects of Cloud Properties on Climate Patternscited by 2
  11. 2023Visualization for Recommendation Explainability: A Survey and New Perspectivescited by 2
  12. 2023Towards the Visualization of Aggregated Class Activation Maps to Analyse the Global Contribution of Class Featurescited by 2
12 more
  1. 2022Is Medieval Distant Viewing Possible? : Extending and Enriching Annotation of Legacy Image Collections using Visual Analyticscited by 1
  2. 2025SWR-Viz: AI-assisted Interactive Visual Analytics Framework for Ship Weather Routingcited by 1
  3. 2022A Systematic Literature Review about Idea Mining: The Use of Machine-driven Analytics to Generate Ideascited by 0
  4. 2022Trust Calibration as a Function of the Evolution of Uncertainty in Knowledge Generation: A Surveycited by 0
  5. 2022Challenges in anomaly and change point detectioncited by 0
  6. 2023A Comparative Visual Analytics Framework for Evaluating Evolutionary Processes in Multi-objective Optimizationcited by 0
  7. 2023Eliciting Model Steering Interactions from Users via Data and Visual Design Probescited by 0
  8. 2025A Deep User Interface for Exploring LLaMacited by 0
  9. 2025The Human-Data-Model Interaction Canvas for Visual Analyticscited by 0
  10. 2026SemiConLens: Visual Analytics for 2D Semiconductor Discoverycited by 0
  11. 2026Understanding How Humans Inject Knowledge into Machine Learning Workflows through Visual Analyticscited by 0
  12. 2026ImputeViz: A Visual Analytics Dashboard for Diagnosing Missing Data and Comparing Imputation Methodscited by 0