Artificial Intelligence

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 2022-05-01 to 2026-05-01.)
ArticleCitations
Online learning in sequential Bayesian persuasion: Handling unknown priors234
Editorial Board118
Primarily about primaries112
Drawing a map of elections111
A computational model of Ostrom's Institutional Analysis and Development framework100
Polynomial combined first-order rewritings for linear and guarded existential rules93
Diagnosis of intermittent faults in Multi-Agent Systems: An SFL approach69
Editorial Board66
Iterative voting with partial preferences65
Mitigating robust overfitting via self-residual-calibration regularization65
Transfer learning for collaborative recommendation with biased and unbiased data61
Knowledge-driven profile dynamics60
The distortion of distributed metric social choice58
No free lunch theorem for privacy-preserving LLM inference56
An α-regret analysis of adversarial bilateral trade54
Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control49
(1+1) genetic programming with functionally complete instruction sets can evolve Boolean conjunctions and disjunctions with arbitrarily small error48
Epistemic planning: Perspectives on the special issue48
Estimating possible causal effects with latent variables via adjustment and novel rule orientation46
Weighted EF1 allocations for indivisible chores37
Learning MAX-SAT from contextual examples for combinatorial optimisation35
Defense coordination in security games: Equilibrium analysis and mechanism design34
Manipulation and peer mechanisms: A survey34
SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes32
Hyper-heuristics for personnel scheduling domains28
Accurate parameter estimation for safety-critical systems with unmodeled dynamics28
Multi-objective reinforcement learning for provably incentivising alignment with value systems27
GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems27
The complexity landscape of claim-augmented argumentation frameworks26
Editorial Board26
A complete classification of the complexity and rewritability of ontology-mediated queries based on the description logic 25
Editorial Board25
Editorial Board24
Corrigendum to “Accurate parameter estimation for safety-critical systems with unmodeled dynamics” [Artif. Intell. 316 (2023) 103857]22
Editorial Board22
Spectral clustering with robust self-learning constraints21
Learning optimal contracts with small action spaces21
Contra2: A one-step active learning method for imbalanced graphs21
Approximate weighted model integration on DNF structures21
CureGraph: Contrastive multi-modal graph representation learning for urban living circle health profiling and prediction20
Temporal inductive path neural network for temporal knowledge graph reasoning19
Settling the score: Portioning with cardinal preferences19
Certified reinforcement learning with logic guidance19
Introduction to open-world AI19
From statistical relational to neurosymbolic artificial intelligence: A survey18
CBS-Budget (CBSB): A complete and bounded suboptimal search for multi-agent path finding18
Editorial Board17
Editorial Board17
Atlas of AI – Book review16
Unsupervised sentence selection for creating a representative corpus in Turkish: An active learning approach16
Editorial Board16
Is it possible to find the single nearest neighbor of a query in high dimensions?16
Acquiring and modeling abstract commonsense knowledge via conceptualization15
A multi-graph representation for event extraction15
Lifted action models learning from partial traces14
Approximating problems in abstract argumentation with graph convolutional networks14
Multi-excitation projective simulation with a many-body physics-inspired inductive bias14
Self-adjusting offspring population sizes outperform fixed parameters on the cliff function14
On the disjunctive rational closure of a conditional knowledge base14
Exploratory machine learning with unknown unknowns13
Gradient-based mixed planning with symbolic and numeric action parameters13
Sequential model-based diagnosis by systematic search13
Logical separability of labeled data examples under ontologies13
Editorial Board13
Integrating symbolic reasoning into neural generative models for design generation13
Automatically designing counterfactual regret minimization algorithms for solving imperfect-information games13
A claim-centric perspective on abstract argumentation semantics: Claim-defeat, principles, and expressiveness12
Pandora's box problem with time constraints12
Editorial Board12
An abstract and structured account of dialectical argument strength12
Temporal logic explanations for dynamic decision systems using anchors and Monte Carlo Tree Search12
Syntactic ASP forgetting with forks12
Functional Relation Field: A Model-Agnostic Framework for Multivariate Time Series Forecasting12
Abstracting situation calculus action theories11
Argus: Programming with communication protocols in a belief-desire-intention architecture11
Pessimistic value iteration for multi-task data sharing in Offline Reinforcement Learning11
Risk-aware controller for autonomous vehicles using model-based collision prediction and reinforcement learning11
Multi-view graph convolutional networks with attention mechanism11
Reward-respecting subtasks for model-based reinforcement learning11
Corrigendum to “Learning constraints through partial queries” [Artificial Intelligence 319 (2023) 103896]11
Privacy-preserving graph convolution network for federated item recommendation11
The notion of Abstraction in Ontology-based Data Management11
Editorial Board11
Emotional conversation generation with heterogeneous graph neural network11
One mind, many tongues: A deep dive into language-agnostic knowledge neurons in large language models11
Safe, learning-based MPC for highway driving under lane-change uncertainty: A distributionally robust approach11
On the design of truthful mechanisms for the capacitated facility location problem with two and more facilities10
Editorial Board10
Almost proportional allocations of indivisible chores: Computation, approximation and efficiency10
Adversarial analysis of similarity-based sign prediction10
From Monotonic Graph Neural Networks to Datalog and Back: Expressive Power and Practical Applications10
On measuring inconsistency in graph databases with regular path constraints10
Optimizing the computation of overriding in DL<10
Discrete preference games with logic-based agents: Formal framework, complexity, and islands of tractability10
Matching papers and reviewers at large conferences10
The influence of dimensions on the complexity of computing decision trees10
(Re)Conceptualizing trustworthy AI: A foundation for change9
Reinforcement learning in convergently non-stationary environments: Feudal hierarchies and learned representations9
Many-objective problems where crossover is provably essential9
On the computation of mixed strategies for security games with general defending requirements9
Maximum Likelihood Evidential Reasoning9
Investigating the properties of neural network representations in reinforcement learning9
Reward (Mis)design for autonomous driving9
Credulous acceptance in high-order argumentation frameworks with necessities: An incremental approach9
Fine-tuning transformers: Vocabulary transfer9
DEED: DEep Evidential Doctor9
Generative models for grid-based and image-based pathfinding9
Sound and relatively complete belief Hoare logic for statistical hypothesis testing programs8
Improved metric distortion via threshold approvals8
Evolving interpretable decision trees for reinforcement learning8
Saliency-aware regularized graph neural network8
The complexity of optimizing atomic congestion8
Budget-feasible mechanisms for proportionally selecting agents from groups8
Adversarially robust unsupervised domain adaptation8
Search-engine-augmented dialogue response generation with cheaply supervised query production8
A tetrachotomy of ontology-mediated queries with a covering axiom8
Natural language watermarking via paraphraser-based lexical substitution8
A polynomial reduction of forks into logic programs8
Learning a fast 3D spectral approach to object segmentation and tracking over space and time8
Truthful aggregation of budget proposals with proportionality guarantees8
Taking into account “who said what” in abstract argumentation: Complexity results8
Integrating multi-armed bandit with local search for MaxSAT8
FedHM: Efficient federated learning for heterogeneous models via low-rank factorization8
Bisimulation between base argumentation and premise-conclusion argumentation7
Editorial Board7
AI-driven transcriptome profile-guided hit molecule generation7
Multi resource allocation with partial preferences7
LAD2025, A constraint-based solver for the subgraph isomorphism problem7
An offline risk-aware policy selection method for Bayesian Markov decision processes7
Integration of memory systems supporting non-symbolic representations in an architecture for lifelong development of artificial agents7
Entropy estimation via uniformization7
Knowledge-based strategies for multi-agent teams playing against Nature7
Privacy preserving solution of DCOPs by mediation7
Editorial Board7
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