| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
A case study of improving a non-technical losses detection system through explainability
|
Coma-Puig, Bernat
|
|
|
38 |
5 |
p. 2704-2732
|
article
|
| 2 |
A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts
|
Schwalbe, Gesina
|
|
|
38 |
5 |
p. 3043-3101
|
article
|
| 3 |
Approximation trees: statistical reproducibility in model distillation
|
Zhou, Yichen
|
|
|
38 |
5 |
p. 3308-3346
|
article
|
| 4 |
Counterfactual explanations and how to find them: literature review and benchmarking
|
Guidotti, Riccardo
|
|
|
38 |
5 |
p. 2770-2824
|
article
|
| 5 |
Counterfactual explanations as interventions in latent space
|
Crupi, Riccardo
|
|
|
38 |
5 |
p. 2733-2769
|
article
|
| 6 |
Explainable and interpretable machine learning and data mining
|
Atzmueller, Martin
|
|
|
38 |
5 |
p. 2571-2595
|
article
|
| 7 |
Explaining deep convolutional models by measuring the influence of interpretable features in image classification
|
Ventura, Francesco
|
|
|
38 |
5 |
p. 3169-3226
|
article
|
| 8 |
Explanatory artificial intelligence (YAI): human-centered explanations of explainable AI and complex data
|
Sovrano, Francesco
|
|
|
38 |
5 |
p. 3141-3168
|
article
|
| 9 |
Interpretable representations in explainable AI: from theory to practice
|
Sokol, Kacper
|
|
|
38 |
5 |
p. 3102-3140
|
article
|
| 10 |
Marginal effects for non-linear prediction functions
|
Scholbeck, Christian A.
|
|
|
38 |
5 |
p. 2997-3042
|
article
|
| 11 |
Mining Pareto-optimal counterfactual antecedents with a branch-and-bound model-agnostic algorithm
|
Raimundo, Marcos M.
|
|
|
38 |
5 |
p. 2942-2974
|
article
|
| 12 |
Model-agnostic feature importance and effects with dependent features: a conditional subgroup approach
|
Molnar, Christoph
|
|
|
38 |
5 |
p. 2903-2941
|
article
|
| 13 |
NICE: an algorithm for nearest instance counterfactual explanations
|
Brughmans, Dieter
|
|
|
38 |
5 |
p. 2665-2703
|
article
|
| 14 |
On GNN explainability with activation rules
|
Veyrin-Forrer, Luca
|
|
|
38 |
5 |
p. 3227-3261
|
article
|
| 15 |
Preventing deception with explanation methods using focused sampling
|
Vreš, Domen
|
|
|
38 |
5 |
p. 3262-3307
|
article
|
| 16 |
Reflective-net: learning from explanations
|
Schneider, Johannes
|
|
|
38 |
5 |
p. 2975-2996
|
article
|
| 17 |
Shapley values for cluster importance
|
Brandsæter, Andreas
|
|
|
38 |
5 |
p. 2633-2664
|
article
|
| 18 |
Sparse oblique decision trees: a tool to understand and manipulate neural net features
|
Hada, Suryabhan Singh
|
|
|
38 |
5 |
p. 2863-2902
|
article
|
| 19 |
Stable and actionable explanations of black-box models through factual and counterfactual rules
|
Guidotti, Riccardo
|
|
|
38 |
5 |
p. 2825-2862
|
article
|
| 20 |
The grammar of interactive explanatory model analysis
|
Baniecki, Hubert
|
|
|
38 |
5 |
p. 2596-2632
|
article
|
Journal description