Special Issue on Explainable and Interpretable Machine Learning and Data Mining

ISSN: 1384-5810 (Print) 1573-756X (Online)

In this topical collection (25 articles)

previous disabled Page of 2

  1. OriginalPaper

    Interpretable representations in explainable AI: from theory to practice

    Kacper Sokol, Peter Flach Pages 1-39
    Download PDF (4147KB) View Article

  2. No Access

    OriginalPaper

    Preventing deception with explanation methods using focused sampling

    Domen Vreš, Marko Robnik-Šikonja Pages 1-46

  3. OriginalPaper

    Explaining deep convolutional models by measuring the influence of interpretable features in image classification

    Francesco Ventura, Salvatore Greco, Daniele Apiletti… Pages 1-58
    Download PDF (8597KB) View Article

  4. No Access

    OriginalPaper

    Counterfactual explanations as interventions in latent space

    Riccardo Crupi, Alessandro Castelnovo… Pages 1-37

  5. OriginalPaper

    Explanatory artificial intelligence (YAI): human-centered explanations of explainable AI and complex data

    Francesco Sovrano, Fabio Vitali Pages 1-28
    Download PDF (1564KB) View Article

  6. OriginalPaper

    Shapley values for cluster importance

    Andreas Brandsæter, Ingrid K. Glad Pages 1-32
    Download PDF (3133KB) View Article

  7. OriginalPaper

    A case study of improving a non-technical losses detection system through explainability

    Bernat Coma-Puig, Albert Calvo, Josep Carmona… Pages 1-29
    Download PDF (1227KB) View Article

  8. OriginalPaper

    Marginal effects for non-linear prediction functions

    Christian A. Scholbeck, Giuseppe Casalicchio… Pages 1-46
    Download PDF (10284KB) View Article

  9. OriginalPaper

    Reflective-net: learning from explanations

    Johannes Schneider, Michalis Vlachos Pages 1-22
    Download PDF (1314KB) View Article

  10. No Access

    OriginalPaper

    On GNN explainability with activation rules

    Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner… Pages 1-35

  11. No Access

    OriginalPaper

    Mining Pareto-optimal counterfactual antecedents with a branch-and-bound model-agnostic algorithm

    Marcos M. Raimundo, Luis Gustavo Nonato, Jorge Poco Pages 1-33

  12. OriginalPaper

    Stable and actionable explanations of black-box models through factual and counterfactual rules

    Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri… Pages 1-38
    Download PDF (2226KB) View Article

  13. OriginalPaper

    Model-agnostic feature importance and effects with dependent features: a conditional subgroup approach

    Christoph Molnar, Gunnar König, Bernd Bischl… Pages 1-39
    Download PDF (1462KB) View Article

  14. No Access

    OriginalPaper

    NICE: an algorithm for nearest instance counterfactual explanations

    Dieter Brughmans, Pieter Leyman, David Martens Pages 1-39

  15. No Access

    OriginalPaper

    Sparse oblique decision trees: a tool to understand and manipulate neural net features

    Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán… Pages 1-40

  16. OriginalPaper

    Counterfactual explanations and how to find them: literature review and benchmarking

    Riccardo Guidotti Pages 1-55
    Download PDF (2204KB) View Article

  17. No Access

    OriginalPaper

    Approximation trees: statistical reproducibility in model distillation

    Yichen Zhou, Zhengze Zhou, Giles Hooker Pages 1-39

  18. OriginalPaper

    The grammar of interactive explanatory model analysis

    Hubert Baniecki, Dariusz Parzych, Przemyslaw Biecek Pages 1-37
    Download PDF (3360KB) View Article

  19. OriginalPaper

    A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts

    Gesina Schwalbe, Bettina Finzel Pages 1-59
    Download PDF (3125KB) View Article

  20. No Access

    OriginalPaper

    Interpretability, personalization and reliability of a machine learning based clinical decision support system

    F. Valente, S. Paredes, J. Henriques, T. Rocha… Pages 1140-1173
previous disabled Page of 2