Artificial Intelligence

Papers
(The H4-Index of Artificial Intelligence is 26. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
ArticleCitations
Multiple object tracking: A literature review336
A survey of inverse reinforcement learning: Challenges, methods and progress194
What do we want from Explainable Artificial Intelligence (XAI)? – A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research192
Reward is enough190
Explaining individual predictions when features are dependent: More accurate approximations to Shapley values187
Evaluating XAI: A comparison of rule-based and example-based explanations135
Explaining black-box classifiers using post-hoc explanations-by-example: The effect of explanations and error-rates in XAI user studies92
Knowledge graphs as tools for explainable machine learning: A survey83
Explanation in AI and law: Past, present and future65
Using ontologies to enhance human understandability of global post-hoc explanations of black-box models58
Logic Tensor Networks54
GLocalX - From Local to Global Explanations of Black Box AI Models53
Relation between prognostics predictor evaluation metrics and local interpretability SHAP values50
Interestingness elements for explainable reinforcement learning: Understanding agents' capabilities and limitations45
Levels of explainable artificial intelligence for human-aligned conversational explanations45
A review of possible effects of cognitive biases on interpretation of rule-based machine learning models44
Evaluating local explanation methods on ground truth43
Swarm intelligence for self-organized clustering42
Analyzing Differentiable Fuzzy Logic Operators40
Toward personalized XAI: A case study in intelligent tutoring systems39
Enhanced aspect-based sentiment analysis models with progressive self-supervised attention learning32
Combining gaze and AI planning for online human intention recognition29
Sensitive loss: Improving accuracy and fairness of face representations with discrimination-aware deep learning29
Neural probabilistic logic programming in DeepProbLog28
Robust learning with imperfect privileged information26
Multi-view graph convolutional networks with attention mechanism26
Multi-agent pathfinding with continuous time26
Qualitative case-based reasoning and learning26
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