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 2020-11-01 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
Levels of explainable artificial intelligence for human-aligned conversational explanations	59
Toward personalized XAI: A case study in intelligent tutoring systems	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

Assessing the communication gap between AI models and healthcare professionals: Explainability, utility and trust in AI-driven clinical decision-making	33
Pairwise symmetry reasoning for multi-agent path finding search	33
Dissecting scientific explanation in AI (sXAI): A case for medicine and healthcare	30
“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
Counterfactual state explanations for reinforcement learning agents via generative deep learning	29
SAT Competition 2020	29
Local and global explanations of agent behavior: Integrating strategy summaries with saliency maps	28
Argumentative explanations for interactive recommendations	27
Hard choices in artificial intelligence	26
Pareto optimization for subset selection with dynamic cost constraints	24
CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions	23
Towards convergence rate analysis of random forests for classification	22
Reward (Mis)design for autonomous driving	22
The quest of parsimonious XAI: A human-agent architecture for explanation formulation	22
Acceptance in incomplete argumentation frameworks	21
Priority inheritance with backtracking for iterative multi-agent path finding	20
Mathematical runtime analysis for the non-dominated sorting genetic algorithm II (NSGA-II)	20
SAT-based explicit LTLf	19
Safe multi-agent reinforcement learning for multi-robot control	19
Evaluation of argument strength in attack graphs: Foundations and semantics	19
Foundations of explanations as model reconciliation	18
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
Logic Explained Networks	17
Kandinsky Patterns	17
Path-length analysis for grid-based path planning	17
Fair division of indivisible goods: Recent progress and open questions	17
Explainable AI tools for legal reasoning about cases: A study on the European Court of Human Rights	16
Making sense of raw input	16
Bayesian feature interaction selection for factorization machines	16
G-LIME: Statistical learning for local interpretations of deep neural network	15
Dependency-based syntax-aware word representations	15
Making sense of sensory input	15
Special issue on Explainable Artificial Intelligence (XAI)	15
Real-time reasoning in OWL2 for GDPR compliance	14
Weakly-supervised sensor-based activity segmentation and recognition via learning from distributions	14
Expanding the prediction capacity in long sequence time-series forecasting	14
Properties and interrelationships of skeptical, weakly skeptical, and credulous inference induced by classes of minimal models	14
Spatial relation learning for explainable image classification and annotation in critical applications	14
On the robustness of sparse counterfactual explanations to adverse perturbations	14
Peeking behind the ordinal curtain: Improving distortion via cardinal queries	14
Emotional conversation generation with heterogeneous graph neural network	13
Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control	13
Online joint bid/daily budget optimization of Internet advertising campaigns	13
Negotiating team formation using deep reinforcement learning	13
Mis- and disinformation in a bounded confidence model	13
Fair division of mixed divisible and indivisible goods	13
Exploration-exploitation in multi-agent learning: Catastrophe theory meets game theory	12
Embedding deep networks into visual explanations	12

Imperfect ImaGANation: Implications of GANs exacerbating biases on facial data augmentation and snapchat face lenses	12
An improved approximation algorithm for maximin shares	11
Picking sequences and monotonicity in weighted fair division	11
ASER: Towards large-scale commonsense knowledge acquisition via higher-order selectional preference over eventualities	11
The defeat of the Winograd Schema Challenge	11
Integrating social influence modeling and user modeling for trust prediction in signed networks	11
Show or suppress? Managing input uncertainty in machine learning model explanations	11
Price of Pareto Optimality in hedonic games	11
Why bad coffee? Explaining BDI agent behaviour with valuings	11
Rethinking formal models of partially observable multiagent decision making	11
Improved local search for the minimum weight dominating set problem in massive graphs by using a deep optimization mechanism	10
End-to-end neural event coreference resolution	10
A k-additive Choquet integral-based approach to approximate the SHAP values for local interpretability in machine learning	10
Monitoring of perception systems: Deterministic, probabilistic, and learning-based fault detection and identification	10
An action language for multi-agent domains	10
Multi-agent path finding with mutex propagation	10
A reconstruction of multipreference closure	10
Diversity of solutions: An exploration through the lens of fixed-parameter tractability theory	9
AutoSTG+: An automatic framework to discover the optimal network for spatio-temporal graph prediction	9
When move acceptance selection hyper-heuristics outperform Metropolis and elitist evolutionary algorithms and when not	9
Envy-free allocations respecting social networks	9
From statistical relational to neurosymbolic artificial intelligence: A survey	9
Using state abstractions to compute personalized contrastive explanations for AI agent behavior	9
Schelling games on graphs	9
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
DivGAN: A diversity enforcing generative adversarial network for mode collapse reduction	9
Mitigating robust overfitting via self-residual-calibration regularization	9
Using POMDPs for learning cost sensitive decision trees	8
A semantics for Hybrid Probabilistic Logic programs with function symbols	8
Open-world probabilistic databases: Semantics, algorithms, complexity	8
On fair selection in the presence of implicit and differential variance	8
A framework for step-wise explaining how to solve constraint satisfaction problems	8
Robustness among multiwinner voting rules	8
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
Result diversification by multi-objective evolutionary algorithms with theoretical guarantees	8
Planning-based knowing how: A unified approach	8
Preference-based inconsistency-tolerant query answering under existential rules	8
Differential privacy of hierarchical Census data: An optimization approach	8
Dashed strings for string constraint solving	8
An abstraction-refinement framework for verifying strategic properties in multi-agent systems with imperfect information	7
Artificial Intelligence requires more than deep learning — but what, exactly?	7
On the noise estimation statistics	7
VoCSK: Verb-oriented commonsense knowledge mining with taxonomy-guided induction	7
Efficient multi-agent epistemic planning: Teaching planners about nested belief	7
Natural language watermarking via paraphraser-based lexical substitution	7
The distortion of distributed metric social choice	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
How to find a good explanation for clustering?	7
A local method for identifying causal relations under Markov equivalence	6
PC-SyncBB: A privacy preserving collusion secure DCOP algorithm	6
Propositional and predicate logics of incomplete information	6
Fine-tuning transformers: Vocabulary transfer	6
Incremental computation for structured argumentation over dynamic DeLP knowledge bases	6
Expecting the unexpected: Goal recognition for rational and irrational agents	6
Risk-aware controller for autonomous vehicles using model-based collision prediction and reinforcement learning	6
Probabilistic modelling of general noisy multi-manifold data sets	6
Solving simultaneous target assignment and path planning efficiently with time-independent execution	6
LMMS reloaded: Transformer-based sense embeddings for disambiguation and beyond	6
Diffusion auction design	6
Computational complexity of flat and generic Assumption-Based Argumentation, with and without probabilities	6
A Bayesian approach to (online) transfer learning: Theory and algorithms	6
The metric distortion of multiwinner voting	6
Shedding new light on the foundations of abstract argumentation: Modularization and weak admissibility	6
Fair allocation of indivisible goods: Beyond additive valuations	6
Sim-to-Lab-to-Real: Safe reinforcement learning with shielding and generalization guarantees	6
Control complexity in Borda elections: Solving all open cases of offline control and some cases of online control	6