OOIR: Observatory of International Research

Papers

(The H4-Index of Artificial Intelligence is 29. 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 2020-11-01 to 2024-11-01.)

Article	Citations
Multiple object tracking: A literature review	411
Explaining individual predictions when features are dependent: More accurate approximations to Shapley values	260
What do we want from Explainable Artificial Intelligence (XAI)? – A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research	255
A survey of inverse reinforcement learning: Challenges, methods and progress	248
Reward is enough	228
Evaluating XAI: A comparison of rule-based and example-based explanations	178
Knowledge graphs as tools for explainable machine learning: A survey	120
Explaining black-box classifiers using post-hoc explanations-by-example: The effect of explanations and error-rates in XAI user studies	117
Logic Tensor Networks	82
Explanation in AI and law: Past, present and future	77
Relation between prognostics predictor evaluation metrics and local interpretability SHAP values	76
Using ontologies to enhance human understandability of global post-hoc explanations of black-box models	72
GLocalX - From Local to Global Explanations of Black Box AI Models	66
Toward personalized XAI: A case study in intelligent tutoring systems	59
Levels of explainable artificial intelligence for human-aligned conversational explanations	59
Interestingness elements for explainable reinforcement learning: Understanding agents' capabilities and limitations	57
A review of possible effects of cognitive biases on interpretation of rule-based machine learning models	54
Analyzing Differentiable Fuzzy Logic Operators	52
Evaluating local explanation methods on ground truth	52
Swarm intelligence for self-organized clustering	47
Multi-agent pathfinding with continuous time	41
Multi-view graph convolutional networks with attention mechanism	40
Enhanced aspect-based sentiment analysis models with progressive self-supervised attention learning	39
Sensitive loss: Improving accuracy and fairness of face representations with discrimination-aware deep learning	36
Neural probabilistic logic programming in DeepProbLog	35

Pairwise symmetry reasoning for multi-agent path finding search	33
Assessing the communication gap between AI models and healthcare professionals: Explainability, utility and trust in AI-driven clinical decision-making	33
Dissecting scientific explanation in AI (sXAI): A case for medicine and healthcare	30
Counterfactual state explanations for reinforcement learning agents via generative deep learning	29
SAT Competition 2020	29
“That's (not) the output I expected!” On the role of end user expectations in creating explanations of AI systems	29
Q-Learning-based model predictive variable impedance control for physical human-robot collaboration	29