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 2021-05-01 to 2025-05-01.)

Article	Citations
A computational model of Ostrom's Institutional Analysis and Development framework	387
Iterative voting with partial preferences	352
Ballooning multi-armed bandits	326
Mitigating robust overfitting via self-residual-calibration regularization	274
Online learning in sequential Bayesian persuasion: Handling unknown priors	165
Diagnosis of intermittent faults in Multi-Agent Systems: An SFL approach	154
Knowledge-driven profile dynamics	130
Planning-based knowing how: A unified approach	112
Primarily about primaries	97
Polynomial combined first-order rewritings for linear and guarded existential rules	85
“That's (not) the output I expected!” On the role of end user expectations in creating explanations of AI systems	82
Transfer learning for collaborative recommendation with biased and unbiased data	78
The distortion of distributed metric social choice	70
An efficient algorithm for counting Markov equivalent DAGs	67
Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control	64
GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems	62
Epistemic planning: Perspectives on the special issue	61
Manipulation and peer mechanisms: A survey	51
Defense coordination in security games: Equilibrium analysis and mechanism design	48
An α-regret analysis of adversarial bilateral trade	47
Hyper-heuristics for personnel scheduling domains	45
Fair allocation of indivisible goods: Beyond additive valuations	44
Learning MAX-SAT from contextual examples for combinatorial optimisation	43
Accurate parameter estimation for safety-critical systems with unmodeled dynamics	42
Reward is enough	37

(1+1) genetic programming with functionally complete instruction sets can evolve Boolean conjunctions and disjunctions with arbitrarily small error	37
SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes	36
No free lunch theorem for privacy-preserving LLM inference	36
Acceptance in incomplete argumentation frameworks	35
CureGraph: Contrastive multi-modal graph representation learning for urban living circle health profiling and prediction	32
Temporal inductive path neural network for temporal knowledge graph reasoning	31
Spectral clustering with robust self-learning constraints	31
Certified reinforcement learning with logic guidance	31
End-to-end neural event coreference resolution	30
Corrigendum to “Accurate parameter estimation for safety-critical systems with unmodeled dynamics” [Artif. Intell. 316 (2023) 103857]	30
Counterfactual state explanations for reinforcement learning agents via generative deep learning	30
Editorial Board	29
Editorial Board	29
Propositional and predicate logics of incomplete information	28
Editorial Board	27
Editorial Board	27
A complete classification of the complexity and rewritability of ontology-mediated queries based on the description logic	25
Approximate weighted model integration on DNF structures	25
The complexity landscape of claim-augmented argumentation frameworks	24
Exploratory machine learning with unknown unknowns	24
From statistical relational to neurosymbolic artificial intelligence: A survey	24
Lifted action models learning from partial traces	23
Editorial Board	21
Atlas of AI – Book review	21
Editorial Board	21
Editorial Board	20
Is it possible to find the single nearest neighbor of a query in high dimensions?	20
Logical separability of labeled data examples under ontologies	20
Sequential model-based diagnosis by systematic search	19
Automatically designing counterfactual regret minimization algorithms for solving imperfect-information games	19
A multi-graph representation for event extraction	18
Acquiring and modeling abstract commonsense knowledge via conceptualization	18
Self-adjusting offspring population sizes outperform fixed parameters on the cliff function	18
Integrating symbolic reasoning into neural generative models for design generation	18
Approximating problems in abstract argumentation with graph convolutional networks	18
Editorial Board	17
Functional Relation Field: A Model-Agnostic Framework for Multivariate Time Series Forecasting	17
Editorial Board	17
Editorial Board	16
Gradient-based mixed planning with symbolic and numeric action parameters	16
Emotional conversation generation with heterogeneous graph neural network	16
Editorial Board	15
Syntactic ASP forgetting with forks	15
Temporal logic explanations for dynamic decision systems using anchors and Monte Carlo Tree Search	15
An abstract and structured account of dialectical argument strength	15
Committing to correlated strategies with multiple leaders	15
Commonsense visual sensemaking for autonomous driving – On generalised neurosymbolic online abduction integrating vision and semantics	14
Logic Tensor Networks	14
The notion of Abstraction in Ontology-based Data Management	14
A claim-centric perspective on abstract argumentation semantics: Claim-defeat, principles, and expressiveness	14

Corrigendum to “Learning constraints through partial queries” [Artificial Intelligence 319 (2023) 103896]	13
Coalitional permutation manipulations in the Gale-Shapley algorithm	13
Reward-respecting subtasks for model-based reinforcement learning	13
Editorial Board	13
Pessimistic value iteration for multi-task data sharing in Offline Reinforcement Learning	13
Multi-view graph convolutional networks with attention mechanism	13
New width parameters for SAT and #SAT	13
Risk-aware controller for autonomous vehicles using model-based collision prediction and reinforcement learning	13
Privacy-preserving graph convolution network for federated item recommendation	12
Safe, learning-based MPC for highway driving under lane-change uncertainty: A distributionally robust approach	12
Editorial Board	12
(Re)Conceptualizing trustworthy AI: A foundation for change	11
Optimizing the computation of overriding in DL<	11
Discrete preference games with logic-based agents: Formal framework, complexity, and islands of tractability	11
Almost proportional allocations of indivisible chores: Computation, approximation and efficiency	11
On measuring inconsistency in graph databases with regular path constraints	11
Adversarial analysis of similarity-based sign prediction	10
Using ontologies to enhance human understandability of global post-hoc explanations of black-box models	10
Maximum Likelihood Evidential Reasoning	10
Improved metric distortion via threshold approvals	10
Matching papers and reviewers at large conferences	10
DEED: DEep Evidential Doctor	10
Truthful aggregation of budget proposals with proportionality guarantees	10
A framework for step-wise explaining how to solve constraint satisfaction problems	10
Investigating the properties of neural network representations in reinforcement learning	10
Fine-tuning transformers: Vocabulary transfer	10
Credulous acceptance in high-order argumentation frameworks with necessities: An incremental approach	10
Algorithms and conditional lower bounds for planning problems	9
Taking into account “who said what” in abstract argumentation: Complexity results	9
Budget-feasible mechanisms for proportionally selecting agents from groups	9
Generative models for grid-based and image-based pathfinding	9
The complexity of optimizing atomic congestion	9
Search-engine-augmented dialogue response generation with cheaply supervised query production	9
A polynomial reduction of forks into logic programs	9
Integrating multi-armed bandit with local search for MaxSAT	9
On the computation of mixed strategies for security games with general defending requirements	9
Saliency-aware regularized graph neural network	9
Evolving interpretable decision trees for reinforcement learning	8
Natural language watermarking via paraphraser-based lexical substitution	8
Explaining black-box classifiers using post-hoc explanations-by-example: The effect of explanations and error-rates in XAI user studies	8
Reward (Mis)design for autonomous driving	8
Learning a fast 3D spectral approach to object segmentation and tracking over space and time	8
Bisimulation between base argumentation and premise-conclusion argumentation	8
Sound and relatively complete belief Hoare logic for statistical hypothesis testing programs	8
Argumentative explanations for interactive recommendations	8
Entropy estimation via uniformization	8
Multi resource allocation with partial preferences	7
Knowledge-based strategies for multi-agent teams playing against Nature	7
An integrated approach to solving influence diagrams and finite-horizon partially observable decision processes	7
Picking sequences and monotonicity in weighted fair division	7
Acyclic orders, partition schemes and CSPs: Unified hardness proofs and improved algorithms	7
A tetrachotomy of ontology-mediated queries with a covering axiom	7
Privacy preserving solution of DCOPs by mediation	7
AI-driven transcriptome profile-guided hit molecule generation	7
Editorial Board	7
Neural probabilistic logic programming in DeepProbLog	7
Editorial Board	7
Editorial Board	6
Class fairness in online matching	6
Online joint bid/daily budget optimization of Internet advertising campaigns	6
Sound and complete causal identification with latent variables given local background knowledge	6
Bayesian auctions with efficient queries	6
GLocalX - From Local to Global Explanations of Black Box AI Models	6
A differentiable first-order rule learner for inductive logic programming	6
Integration of memory systems supporting non-symbolic representations in an architecture for lifelong development of artificial agents	6
Open-world probabilistic databases: Semantics, algorithms, complexity	6
Adaptive large-neighbourhood search for optimisation in answer-set programming	6
Data-informed knowledge and strategies	6
Editorial Board	6
Editorial Board	6
Knowledge is power: Open-world knowledge representation learning for knowledge-based visual reasoning	6
A general framework for preferences in answer set programming	6
Non-deterministic approximation fixpoint theory and its application in disjunctive logic programming	6
A neurosymbolic cognitive architecture framework for handling novelties in open worlds	6
Hierarchical clustering optimizes the tradeoff between compositionality and expressivity of task structures for flexible reinforcement learning	6