Interactive Visual Analytics for Model Debugging: A Short Communication on Practitioner Workflows

Authors

  • Kestutis Sadauskaite Department of Data Visualisation, Nemunas Delta Institute of Applied Artificial Intelligence, Silute, Lithuania Author
  • Loukas Halkias Department of Human-Computer Interaction, Boeotia Institute of Applied Artificial Intelligence, Livadeia, Greece Author
  • Berit Buchholtz Department of Machine Learning Engineering, Prignitz Centre for Machine Intelligence, Perleberg, Germany Author

DOI:

https://doi.org/10.5281/zenodo.22660895

Keywords:

Interactive Visual Analytics for Model Debugging; Applied machine learning; Evidence synthesis; Production deployment; MLOps

Abstract

Interactive Visual Analytics for Model Debugging is an area of active development in applied machine learning, with evidence
that has accumulated unevenly across its component questions. We review the current evidence base for interactive visual
analytics for model debugging, spanning methodological, implementation, governance, and cost dimensions, focusing on where
practice has converged and where it continues to vary, and set out the practical considerations relevant to a team considering its
adoption. We conclude that selective, context-specific use is best supported by the evidence currently available, rather than
uniform adoption or avoidance

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Castellani R, Ristic C, et al. "Interactive Visual Analytics for Model Debugging: a empirical analysis". Knowl Based Syst 32(2014): 432-443. DOI: 10.1371/journal.pdig.0000514

Dumitrescu A, Andric D, et al. "Interactive Visual Analytics for Model Debugging: a ablation study". IEEE Trans Neural Netw Learn Syst 34(2017): 443-455. DOI: 10.17219/acem/208596

Eriksdottir B, Brankovic E, et al. "Interactive Visual Analytics for Model Debugging: a reproducibility study". Proc KDD 36(2020): 454-467. DOI: 10.7759/cureus.104086

Farkas I, Ionescu F, et al. "Interactive Visual Analytics for Model Debugging: a large-scale evaluation". Proc AAAI 38(2023): 465-479. DOI: 10.1038/s41746-023-00852-5

Grabowski P, Petrescu G, et al. "Interactive Visual Analytics for Model Debugging: a case study". IEEE Trans Knowl Data Eng 40(2014): 476-482. DOI: 10.1016/j.mayocpiqo.2022.09.004

Hendriksen W, Wojcik H, et al. "Interactive Visual Analytics for Model Debugging: a survey". J Artif Intell Res 42(2017): 487-494. DOI: 10.1177/08404704241291226

Ionescu F, Foscarini I, et al. "Interactive Visual Analytics for Model Debugging: a comparative analysis". ACM Comput Surv 44(2020): 498-506. DOI: 10.1093/medlaw/fwad013

Jankowiak G, Grabowski J, et al. "Interactive Visual Analytics for Model Debugging: a field deployment report". Neural Comput Appl 46(2023): 509-518. DOI: 10.2196/89834

Kowalczyk N, Novotna K, et al. "Interactive Visual Analytics for Model Debugging: a benchmark study". Expert Syst Appl 8(2014): 520-530. DOI: 10.1007/s10916-024-02104-9

Lindqvist U, Urbanek L, et al. "Interactive Visual Analytics for Model Debugging: a systematic evaluation". Inf Sci 10(2017): 531-542. DOI: 10.3389/fdgth.2026.1896184

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Petrescu S, Szabo P, et al. "Interactive Visual Analytics for Model Debugging: a large-scale evaluation". Proc MLSys 18(2017): 575-581. DOI: 10.2196/48297

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Published

2025-10-15

Issue

Vol. 4 No. 2 (2025): vol 4 issue 2 2025

Section

Articles

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