OOIR: Observatory of International Research

Papers

(The TQCC of Artificial Intelligence is 6. 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 2020-05-01 to 2024-05-01.)

Article	Citations
Multiple object tracking: A literature review	356
What do we want from Explainable Artificial Intelligence (XAI)? – A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research	206
A survey of inverse reinforcement learning: Challenges, methods and progress	200
Reward is enough	199
Explaining individual predictions when features are dependent: More accurate approximations to Shapley values	195
Evaluating XAI: A comparison of rule-based and example-based explanations	142
Explaining black-box classifiers using post-hoc explanations-by-example: The effect of explanations and error-rates in XAI user studies	94
Knowledge graphs as tools for explainable machine learning: A survey	87
Explanation in AI and law: Past, present and future	67
Using ontologies to enhance human understandability of global post-hoc explanations of black-box models	62
GLocalX - From Local to Global Explanations of Black Box AI Models	57
Logic Tensor Networks	57
Relation between prognostics predictor evaluation metrics and local interpretability SHAP values	53
Levels of explainable artificial intelligence for human-aligned conversational explanations	48
A review of possible effects of cognitive biases on interpretation of rule-based machine learning models	47
Interestingness elements for explainable reinforcement learning: Understanding agents' capabilities and limitations	46
Analyzing Differentiable Fuzzy Logic Operators	43
Swarm intelligence for self-organized clustering	43
Evaluating local explanation methods on ground truth	43
Toward personalized XAI: A case study in intelligent tutoring systems	43
Enhanced aspect-based sentiment analysis models with progressive self-supervised attention learning	33
Sensitive loss: Improving accuracy and fairness of face representations with discrimination-aware deep learning	31
Multi-view graph convolutional networks with attention mechanism	30
Neural probabilistic logic programming in DeepProbLog	29
Combining gaze and AI planning for online human intention recognition	29

Multi-agent pathfinding with continuous time	29
Pairwise symmetry reasoning for multi-agent path finding search	28
Qualitative case-based reasoning and learning	26
Robust learning with imperfect privileged information	26
Dissecting scientific explanation in AI (sXAI): A case for medicine and healthcare	25
Memetic algorithms outperform evolutionary algorithms in multimodal optimisation	25
Counterfactual state explanations for reinforcement learning agents via generative deep learning	23
Designing normative theories for ethical and legal reasoning: LogiKEy framework, methodology, and tool support	23
PopMNet: Generating structured pop music melodies using neural networks	23
Local and global explanations of agent behavior: Integrating strategy summaries with saliency maps	23
Q-Learning-based model predictive variable impedance control for physical human-robot collaboration	23
Argumentative explanations for interactive recommendations	22
SAT Competition 2020	22
How do fairness definitions fare? Testing public attitudes towards three algorithmic definitions of fairness in loan allocations	22
Adapting a kidney exchange algorithm to align with human values	20
“That's (not) the output I expected!” On the role of end user expectations in creating explanations of AI systems	20
Fair navigation planning: A resource for characterizing and designing fairness in mobile robots	19
Towards convergence rate analysis of random forests for classification	18
Acceptance in incomplete argumentation frameworks	18
Boolean algebras of conditionals, probability and logic	18
Old techniques in new ways: Clause weighting, unit propagation and hybridization for maximum satisfiability	18
The quest of parsimonious XAI: A human-agent architecture for explanation formulation	18
Hard choices in artificial intelligence	18
CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions	18
Assessing the communication gap between AI models and healthcare professionals: Explainability, utility and trust in AI-driven clinical decision-making	17
A technical survey on statistical modelling and design methods for crowdsourcing quality control	17
Evaluation of argument strength in attack graphs: Foundations and semantics	17
SAT-based explicit LTLf	16
Priority inheritance with backtracking for iterative multi-agent path finding	15
Rethinking epistemic logic with belief bases	15
An approach for combining ethical principles with public opinion to guide public policy	14
Foundations of explanations as model reconciliation	14
Quantifying and alleviating political bias in language models	14
Making sense of sensory input	14
Peeking behind the ordinal curtain: Improving distortion via cardinal queries	14
Path-length analysis for grid-based path planning	13
DEL-based epistemic planning: Decidability and complexity	13
Commonsense visual sensemaking for autonomous driving – On generalised neurosymbolic online abduction integrating vision and semantics	13
Bayesian feature interaction selection for factorization machines	13
Kandinsky Patterns	13
The distortion of distributed voting	13
Mis- and disinformation in a bounded confidence model	12
Negotiating team formation using deep reinforcement learning	12
Spatial relation learning for explainable image classification and annotation in critical applications	12
Making sense of raw input	12
Fair division of mixed divisible and indivisible goods	12
Properties and interrelationships of skeptical, weakly skeptical, and credulous inference induced by classes of minimal models	11
Real-time reasoning in OWL2 for GDPR compliance	11
Dependency-based syntax-aware word representations	11
G-LIME: Statistical learning for local interpretations of deep neural network	11

Pareto optimization for subset selection with dynamic cost constraints	11
Fair division of indivisible goods: Recent progress and open questions	11
Automated temporal equilibrium analysis: Verification and synthesis of multi-player games	10
The logic of gossiping	10
Embedding deep networks into visual explanations	10
Logic Explained Networks	10
On the equivalence of optimal recommendation sets and myopically optimal query sets	10
Reward (Mis)design for autonomous driving	9
Imperfect ImaGANation: Implications of GANs exacerbating biases on facial data augmentation and snapchat face lenses	9
ASER: Towards large-scale commonsense knowledge acquisition via higher-order selectional preference over eventualities	9
Weakly-supervised sensor-based activity segmentation and recognition via learning from distributions	9
Dynamic term-modal logics for first-order epistemic planning	9
An action language for multi-agent domains	9
Evaluation of the moral permissibility of action plans	9
A reconstruction of multipreference closure	9
Exploration-exploitation in multi-agent learning: Catastrophe theory meets game theory	9
Special issue on Explainable Artificial Intelligence (XAI)	9
Using state abstractions to compute personalized contrastive explanations for AI agent behavior	9
Price of Pareto Optimality in hedonic games	9
Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control	9
Integrating social influence modeling and user modeling for trust prediction in signed networks	9
End-to-end neural event coreference resolution	9
Envy-free allocations respecting social networks	8
Multi-agent path finding with mutex propagation	8
Online joint bid/daily budget optimization of Internet advertising campaigns	8
Utilitarian welfare and representation guarantees of approval-based multiwinner rules	8
Rethinking formal models of partially observable multiagent decision making	8
Schelling games on graphs	8
The defeat of the Winograd Schema Challenge	8
Expanding the prediction capacity in long sequence time-series forecasting	8
Why bad coffee? Explaining BDI agent behaviour with valuings	8
An improved approximation algorithm for maximin shares	8
Dashed strings for string constraint solving	8
A semantics for Hybrid Probabilistic Logic programs with function symbols	8
Using POMDPs for learning cost sensitive decision trees	8
Overlapping communities and roles in networks with node attributes: Probabilistic graphical modeling, Bayesian formulation and variational inference	8
Emotional conversation generation with heterogeneous graph neural network	8
Open-world probabilistic databases: Semantics, algorithms, complexity	8
On fair selection in the presence of implicit and differential variance	8
Explainable AI tools for legal reasoning about cases: A study on the European Court of Human Rights	8
Planning-based knowing how: A unified approach	8
Robustness among multiwinner voting rules	7
Deliberative acting, planning and learning with hierarchical operational models	7
Show or suppress? Managing input uncertainty in machine learning model explanations	7
Artificial Intelligence requires more than deep learning — but what, exactly?	7
On the robustness of sparse counterfactual explanations to adverse perturbations	7
An epistemic logic of blameworthiness	7
On the noise estimation statistics	7
When move acceptance selection hyper-heuristics outperform Metropolis and elitist evolutionary algorithms and when not	7
X*: Anytime Multi-Agent Path Finding for Sparse Domains using Window-Based Iterative Repairs	7
Picking sequences and monotonicity in weighted fair division	7
The distortion of distributed metric social choice	7
Computational complexity of flat and generic Assumption-Based Argumentation, with and without probabilities	6
Preference-based inconsistency-tolerant query answering under existential rules	6
Efficient multi-agent epistemic planning: Teaching planners about nested belief	6
Safe multi-agent reinforcement learning for multi-robot control	6
Diffusion auction design	6
Verification of multi-agent systems with public actions against strategy logic	6
Complexity of abstract argumentation under a claim-centric view	6
Differential privacy of hierarchical Census data: An optimization approach	6
Mitigating robust overfitting via self-residual-calibration regularization	6
An abstraction-refinement framework for verifying strategic properties in multi-agent systems with imperfect information	6
PC-SyncBB: A privacy preserving collusion secure DCOP algorithm	6
Diversity of solutions: An exploration through the lens of fixed-parameter tractability theory	6
A framework for step-wise explaining how to solve constraint satisfaction problems	6
Compatibility, desirability, and the running intersection property	6