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 2022-06-01 to 2026-06-01.)
ArticleCitations
Online learning in sequential Bayesian persuasion: Handling unknown priors119
Polynomial combined first-order rewritings for linear and guarded existential rules116
Diagnosis of intermittent faults in Multi-Agent Systems: An SFL approach113
Editorial Board102
Mitigating robust overfitting via self-residual-calibration regularization96
Editorial Board72
Primarily about primaries67
Drawing a map of elections66
Iterative voting with partial preferences65
Knowledge-driven profile dynamics63
Transfer learning for collaborative recommendation with biased and unbiased data62
A computational model of Ostrom's Institutional Analysis and Development framework61
No free lunch theorem for privacy-preserving LLM inference59
Manipulation and peer mechanisms: A survey57
Defense coordination in security games: Equilibrium analysis and mechanism design54
Learning MAX-SAT from contextual examples for combinatorial optimisation51
Weighted EF1 allocations for indivisible chores49
Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control48
Epistemic planning: Perspectives on the special issue38
Estimating possible causal effects with latent variables via adjustment and novel rule orientation37
Hyper-heuristics for personnel scheduling domains36
Multi-objective reinforcement learning for provably incentivising alignment with value systems34
(1+1) genetic programming with functionally complete instruction sets can evolve Boolean conjunctions and disjunctions with arbitrarily small error32
SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes30
Accurate parameter estimation for safety-critical systems with unmodeled dynamics28
An α-regret analysis of adversarial bilateral trade28
The distortion of distributed metric social choice28
The complexity landscape of claim-augmented argumentation frameworks27
GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems27
Editorial Board26
A complete classification of the complexity and rewritability of ontology-mediated queries based on the description logic 25
Introduction to open-world AI25
Settling the score: Portioning with cardinal preferences24
CBS-Budget (CBSB): A complete and bounded suboptimal search for multi-agent path finding23
Editorial Board22
Approximate weighted model integration on DNF structures22
From statistical relational to neurosymbolic artificial intelligence: A survey22
Editorial Board22
Learning optimal contracts with small action spaces21
Corrigendum to “Accurate parameter estimation for safety-critical systems with unmodeled dynamics” [Artif. Intell. 316 (2023) 103857]21
Certified reinforcement learning with logic guidance20
Spectral clustering with robust self-learning constraints20
CureGraph: Contrastive multi-modal graph representation learning for urban living circle health profiling and prediction20
Editorial Board18
Temporal inductive path neural network for temporal knowledge graph reasoning18
Contra2: A one-step active learning method for imbalanced graphs18
Acquiring and modeling abstract commonsense knowledge via conceptualization17
Editorial Board17
Editorial Board17
Is it possible to find the single nearest neighbor of a query in high dimensions?16
Editorial Board16
Lifted action models learning from partial traces16
Atlas of AI – Book review16
Unsupervised sentence selection for creating a representative corpus in Turkish: An active learning approach15
Exploratory machine learning with unknown unknowns14
A multi-graph representation for event extraction14
Integrating symbolic reasoning into neural generative models for design generation14
Sequential model-based diagnosis by systematic search14
Multi-excitation projective simulation with a many-body physics-inspired inductive bias14
On the disjunctive rational closure of a conditional knowledge base14
Automatically designing counterfactual regret minimization algorithms for solving imperfect-information games13
Gradient-based mixed planning with symbolic and numeric action parameters13
Approximating problems in abstract argumentation with graph convolutional networks13
Self-adjusting offspring population sizes outperform fixed parameters on the cliff function13
Logical separability of labeled data examples under ontologies13
Editorial Board13
Pandora's box problem with time constraints12
Syntactic ASP forgetting with forks12
A claim-centric perspective on abstract argumentation semantics: Claim-defeat, principles, and expressiveness12
Editorial Board12
An abstract and structured account of dialectical argument strength12
Abstracting situation calculus action theories12
Functional Relation Field: A Model-Agnostic Framework for Multivariate Time Series Forecasting12
The notion of Abstraction in Ontology-based Data Management12
Environment promoted invariant information learning for graph out-of-distribution generalization12
Temporal logic explanations for dynamic decision systems using anchors and Monte Carlo Tree Search12
Multi-view graph convolutional networks with attention mechanism11
Safe, learning-based MPC for highway driving under lane-change uncertainty: A distributionally robust approach11
Privacy-preserving graph convolution network for federated item recommendation11
Almost proportional allocations of indivisible chores: Computation, approximation and efficiency11
Pessimistic value iteration for multi-task data sharing in Offline Reinforcement Learning11
Argus: Programming with communication protocols in a belief-desire-intention architecture11
One mind, many tongues: A deep dive into language-agnostic knowledge neurons in large language models11
Discrete preference games with logic-based agents: Formal framework, complexity, and islands of tractability11
Emotional conversation generation with heterogeneous graph neural network11
Reward-respecting subtasks for model-based reinforcement learning11
Corrigendum to “Learning constraints through partial queries” [Artificial Intelligence 319 (2023) 103896]11
Risk-aware controller for autonomous vehicles using model-based collision prediction and reinforcement learning11
Editorial Board11
DEED: DEep Evidential Doctor10
Optimizing the computation of overriding in DL<10
Adversarial analysis of similarity-based sign prediction10
On measuring inconsistency in graph databases with regular path constraints10
Editorial Board10
On the design of truthful mechanisms for the capacitated facility location problem with two and more facilities10
Maximum Likelihood Evidential Reasoning10
Reinforcement learning in convergently non-stationary environments: Feudal hierarchies and learned representations10
The influence of dimensions on the complexity of computing decision trees10
Fine-tuning transformers: Vocabulary transfer10
Matching papers and reviewers at large conferences9
Credulous acceptance in high-order argumentation frameworks with necessities: An incremental approach9
The complexity of optimizing atomic congestion9
Learning a fast 3D spectral approach to object segmentation and tracking over space and time9
(Re)Conceptualizing trustworthy AI: A foundation for change9
Search-engine-augmented dialogue response generation with cheaply supervised query production9
Many-objective problems where crossover is provably essential9
Sound and relatively complete belief Hoare logic for statistical hypothesis testing programs9
Investigating the properties of neural network representations in reinforcement learning9
Saliency-aware regularized graph neural network9
Taking into account “who said what” in abstract argumentation: Complexity results9
A polynomial reduction of forks into logic programs9
Reward (Mis)design for autonomous driving8
A tetrachotomy of ontology-mediated queries with a covering axiom8
On the computation of mixed strategies for security games with general defending requirements8
Generative models for grid-based and image-based pathfinding8
Adversarially robust unsupervised domain adaptation8
Knowledge-based strategies for multi-agent teams playing against Nature8
Truthful aggregation of budget proposals with proportionality guarantees8
Budget-feasible mechanisms for proportionally selecting agents from groups8
Integrating multi-armed bandit with local search for MaxSAT8
Evolving interpretable decision trees for reinforcement learning8
FedHM: Efficient federated learning for heterogeneous models via low-rank factorization8
Natural language watermarking via paraphraser-based lexical substitution8
Improved metric distortion via threshold approvals8
Neural knowledge graph reasoning with relational digraph7
Editorial Board7
Entropy estimation via uniformization7
Editorial Board7
An offline risk-aware policy selection method for Bayesian Markov decision processes7
LAD2025, A constraint-based solver for the subgraph isomorphism problem7
Multi resource allocation with partial preferences7
Privacy preserving solution of DCOPs by mediation7
Relaxed core stability in hedonic games7
Bisimulation between base argumentation and premise-conclusion argumentation7
AI-driven transcriptome profile-guided hit molecule generation7
Integration of memory systems supporting non-symbolic representations in an architecture for lifelong development of artificial agents7
Data-informed knowledge and strategies7
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