OOIR: Observatory of International Research

Papers

(The TQCC of Artificial Intelligence is 7. 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 2020-09-01 to 2024-09-01.)

Article	Citations
Multiple object tracking: A literature review	402
Explaining individual predictions when features are dependent: More accurate approximations to Shapley values	254
What do we want from Explainable Artificial Intelligence (XAI)? – A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research	251
A survey of inverse reinforcement learning: Challenges, methods and progress	234
Reward is enough	221
Evaluating XAI: A comparison of rule-based and example-based explanations	172
Knowledge graphs as tools for explainable machine learning: A survey	119
Explaining black-box classifiers using post-hoc explanations-by-example: The effect of explanations and error-rates in XAI user studies	114
Explanation in AI and law: Past, present and future	76
Relation between prognostics predictor evaluation metrics and local interpretability SHAP values	69
Using ontologies to enhance human understandability of global post-hoc explanations of black-box models	68
Logic Tensor Networks	66
GLocalX - From Local to Global Explanations of Black Box AI Models	65
Levels of explainable artificial intelligence for human-aligned conversational explanations	59
Toward personalized XAI: A case study in intelligent tutoring systems	58
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
Evaluating local explanation methods on ground truth	49
Swarm intelligence for self-organized clustering	47
Analyzing Differentiable Fuzzy Logic Operators	46
Multi-view graph convolutional networks with attention mechanism	38
Multi-agent pathfinding with continuous time	38
Enhanced aspect-based sentiment analysis models with progressive self-supervised attention learning	36
Sensitive loss: Improving accuracy and fairness of face representations with discrimination-aware deep learning	35
Neural probabilistic logic programming in DeepProbLog	33

Assessing the communication gap between AI models and healthcare professionals: Explainability, utility and trust in AI-driven clinical decision-making	32
Pairwise symmetry reasoning for multi-agent path finding search	31
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
“That's (not) the output I expected!” On the role of end user expectations in creating explanations of AI systems	28
SAT Competition 2020	28
Designing normative theories for ethical and legal reasoning: LogiKEy framework, methodology, and tool support	27
Local and global explanations of agent behavior: Integrating strategy summaries with saliency maps	27
Memetic algorithms outperform evolutionary algorithms in multimodal optimisation	27
Q-Learning-based model predictive variable impedance control for physical human-robot collaboration	27
Hard choices in artificial intelligence	26
Argumentative explanations for interactive recommendations	25
PopMNet: Generating structured pop music melodies using neural networks	25
The quest of parsimonious XAI: A human-agent architecture for explanation formulation	22
Towards convergence rate analysis of random forests for classification	22
CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions	21
Reward (Mis)design for autonomous driving	20
Priority inheritance with backtracking for iterative multi-agent path finding	20
Acceptance in incomplete argumentation frameworks	20
A technical survey on statistical modelling and design methods for crowdsourcing quality control	19
Pareto optimization for subset selection with dynamic cost constraints	19
Evaluation of argument strength in attack graphs: Foundations and semantics	19
Old techniques in new ways: Clause weighting, unit propagation and hybridization for maximum satisfiability	18
SAT-based explicit LTLf	18
Foundations of explanations as model reconciliation	18
Boolean algebras of conditionals, probability and logic	18
Path-length analysis for grid-based path planning	17
Commonsense visual sensemaking for autonomous driving – On generalised neurosymbolic online abduction integrating vision and semantics	17
Quantifying and alleviating political bias in language models	17
Explainable AI tools for legal reasoning about cases: A study on the European Court of Human Rights	16
Bayesian feature interaction selection for factorization machines	16
An approach for combining ethical principles with public opinion to guide public policy	15
Mathematical runtime analysis for the non-dominated sorting genetic algorithm II (NSGA-II)	15
Kandinsky Patterns	15
Dependency-based syntax-aware word representations	15
Fair division of indivisible goods: Recent progress and open questions	15
G-LIME: Statistical learning for local interpretations of deep neural network	14
Making sense of sensory input	14
Peeking behind the ordinal curtain: Improving distortion via cardinal queries	14
Making sense of raw input	14
Real-time reasoning in OWL2 for GDPR compliance	14
DEL-based epistemic planning: Decidability and complexity	14
Logic Explained Networks	14
Weakly-supervised sensor-based activity segmentation and recognition via learning from distributions	14
Safe multi-agent reinforcement learning for multi-robot control	14
Expanding the prediction capacity in long sequence time-series forecasting	13
Negotiating team formation using deep reinforcement learning	13
Online joint bid/daily budget optimization of Internet advertising campaigns	13
The distortion of distributed voting	13
Emotional conversation generation with heterogeneous graph neural network	12

Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control	12
Mis- and disinformation in a bounded confidence model	12
Exploration-exploitation in multi-agent learning: Catastrophe theory meets game theory	12
Special issue on Explainable Artificial Intelligence (XAI)	12
Spatial relation learning for explainable image classification and annotation in critical applications	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	12
Integrating social influence modeling and user modeling for trust prediction in signed networks	11
ASER: Towards large-scale commonsense knowledge acquisition via higher-order selectional preference over eventualities	11
An improved approximation algorithm for maximin shares	11
Imperfect ImaGANation: Implications of GANs exacerbating biases on facial data augmentation and snapchat face lenses	11
Price of Pareto Optimality in hedonic games	11
On the robustness of sparse counterfactual explanations to adverse perturbations	11
Embedding deep networks into visual explanations	11
Why bad coffee? Explaining BDI agent behaviour with valuings	11
Automated temporal equilibrium analysis: Verification and synthesis of multi-player games	10
End-to-end neural event coreference resolution	10
An action language for multi-agent domains	10
The logic of gossiping	10
Multi-agent path finding with mutex propagation	10
Picking sequences and monotonicity in weighted fair division	10
Rethinking formal models of partially observable multiagent decision making	10
Dynamic term-modal logics for first-order epistemic planning	10
Show or suppress? Managing input uncertainty in machine learning model explanations	10
On the equivalence of optimal recommendation sets and myopically optimal query sets	10
Overlapping communities and roles in networks with node attributes: Probabilistic graphical modeling, Bayesian formulation and variational inference	9
Utilitarian welfare and representation guarantees of approval-based multiwinner rules	9
When move acceptance selection hyper-heuristics outperform Metropolis and elitist evolutionary algorithms and when not	9
Envy-free allocations respecting social networks	9
Monitoring of perception systems: Deterministic, probabilistic, and learning-based fault detection and identification	9
Using state abstractions to compute personalized contrastive explanations for AI agent behavior	9
A k-additive Choquet integral-based approach to approximate the SHAP values for local interpretability in machine learning	9
The defeat of the Winograd Schema Challenge	9
Evaluation of the moral permissibility of action plans	9
Schelling games on graphs	9
A reconstruction of multipreference closure	9
X*: Anytime Multi-Agent Path Finding for Sparse Domains using Window-Based Iterative Repairs	8
Deliberative acting, planning and learning with hierarchical operational models	8
Dashed strings for string constraint solving	8
Using POMDPs for learning cost sensitive decision trees	8
Preference-based inconsistency-tolerant query answering under existential rules	8
Differential privacy of hierarchical Census data: An optimization approach	8
On fair selection in the presence of implicit and differential variance	8
Mitigating robust overfitting via self-residual-calibration regularization	8
Robustness among multiwinner voting rules	8
Open-world probabilistic databases: Semantics, algorithms, complexity	8
AutoSTG+: An automatic framework to discover the optimal network for spatio-temporal graph prediction	8
A framework for step-wise explaining how to solve constraint satisfaction problems	8
A semantics for Hybrid Probabilistic Logic programs with function symbols	8
Planning-based knowing how: A unified approach	8
An abstraction-refinement framework for verifying strategic properties in multi-agent systems with imperfect information	7
Efficient multi-agent epistemic planning: Teaching planners about nested belief	7
On the noise estimation statistics	7
Result diversification by multi-objective evolutionary algorithms with theoretical guarantees	7
Safe, learning-based MPC for highway driving under lane-change uncertainty: A distributionally robust approach	7
Spectral clustering with robust self-learning constraints	7
The distortion of distributed metric social choice	7
VoCSK: Verb-oriented commonsense knowledge mining with taxonomy-guided induction	7
Improved local search for the minimum weight dominating set problem in massive graphs by using a deep optimization mechanism	7
Artificial Intelligence requires more than deep learning — but what, exactly?	7
DivGAN: A diversity enforcing generative adversarial network for mode collapse reduction	7