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 2021-11-01 to 2025-11-01.)
ArticleCitations
Online learning in sequential Bayesian persuasion: Handling unknown priors209
Knowledge-driven profile dynamics184
A computational model of Ostrom's Institutional Analysis and Development framework152
Primarily about primaries97
Transfer learning for collaborative recommendation with biased and unbiased data88
Polynomial combined first-order rewritings for linear and guarded existential rules84
Diagnosis of intermittent faults in Multi-Agent Systems: An SFL approach79
Iterative voting with partial preferences71
Drawing a map of elections58
Editorial Board57
(1+1) genetic programming with functionally complete instruction sets can evolve Boolean conjunctions and disjunctions with arbitrarily small error54
Mitigating robust overfitting via self-residual-calibration regularization54
Accurate parameter estimation for safety-critical systems with unmodeled dynamics53
An efficient algorithm for counting Markov equivalent DAGs52
Fair allocation of indivisible goods: Beyond additive valuations52
The distortion of distributed metric social choice52
Manipulation and peer mechanisms: A survey50
Hyper-heuristics for personnel scheduling domains44
An α-regret analysis of adversarial bilateral trade43
Weighted EF1 allocations for indivisible chores41
Estimating possible causal effects with latent variables via adjustment and novel rule orientation41
No free lunch theorem for privacy-preserving LLM inference40
Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control40
GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems36
Defense coordination in security games: Equilibrium analysis and mechanism design35
Learning MAX-SAT from contextual examples for combinatorial optimisation34
Epistemic planning: Perspectives on the special issue33
SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes33
CBS-Budget (CBSB): A complete and bounded suboptimal search for multi-agent path finding32
The complexity landscape of claim-augmented argumentation frameworks31
Approximate weighted model integration on DNF structures31
Editorial Board31
Editorial Board30
Corrigendum to “Accurate parameter estimation for safety-critical systems with unmodeled dynamics” [Artif. Intell. 316 (2023) 103857]30
A complete classification of the complexity and rewritability of ontology-mediated queries based on the description logic 27
Introduction to open-world AI26
Learning optimal contracts with small action spaces25
Spectral clustering with robust self-learning constraints25
End-to-end neural event coreference resolution23
Certified reinforcement learning with logic guidance22
Editorial Board22
CureGraph: Contrastive multi-modal graph representation learning for urban living circle health profiling and prediction22
Editorial Board22
Temporal inductive path neural network for temporal knowledge graph reasoning21
Editorial Board21
From statistical relational to neurosymbolic artificial intelligence: A survey21
Propositional and predicate logics of incomplete information21
Automatically designing counterfactual regret minimization algorithms for solving imperfect-information games20
Acquiring and modeling abstract commonsense knowledge via conceptualization20
Integrating symbolic reasoning into neural generative models for design generation20
Editorial Board20
Editorial Board20
Unsupervised sentence selection for creating a representative corpus in Turkish: An active learning approach19
Sequential model-based diagnosis by systematic search19
A multi-graph representation for event extraction19
Atlas of AI – Book review19
Is it possible to find the single nearest neighbor of a query in high dimensions?19
Self-adjusting offspring population sizes outperform fixed parameters on the cliff function18
On the disjunctive rational closure of a conditional knowledge base18
Logical separability of labeled data examples under ontologies18
Exploratory machine learning with unknown unknowns18
Approximating problems in abstract argumentation with graph convolutional networks17
Editorial Board17
Lifted action models learning from partial traces17
Abstracting situation calculus action theories16
Emotional conversation generation with heterogeneous graph neural network16
The notion of Abstraction in Ontology-based Data Management16
Multi-view graph convolutional networks with attention mechanism15
Functional Relation Field: A Model-Agnostic Framework for Multivariate Time Series Forecasting15
An abstract and structured account of dialectical argument strength15
Syntactic ASP forgetting with forks15
Editorial Board14
Temporal logic explanations for dynamic decision systems using anchors and Monte Carlo Tree Search14
Gradient-based mixed planning with symbolic and numeric action parameters14
A claim-centric perspective on abstract argumentation semantics: Claim-defeat, principles, and expressiveness14
Committing to correlated strategies with multiple leaders14
Privacy-preserving graph convolution network for federated item recommendation13
Editorial Board13
Logic Tensor Networks13
Editorial Board13
Reward-respecting subtasks for model-based reinforcement learning12
Pessimistic value iteration for multi-task data sharing in Offline Reinforcement Learning12
Corrigendum to “Learning constraints through partial queries” [Artificial Intelligence 319 (2023) 103896]12
Coalitional permutation manipulations in the Gale-Shapley algorithm12
Argus: Programming with communication protocols in a belief-desire-intention architecture12
Risk-aware controller for autonomous vehicles using model-based collision prediction and reinforcement learning12
Editorial Board12
Safe, learning-based MPC for highway driving under lane-change uncertainty: A distributionally robust approach12
Adversarial analysis of similarity-based sign prediction11
(Re)Conceptualizing trustworthy AI: A foundation for change11
Matching papers and reviewers at large conferences11
The influence of dimensions on the complexity of computing decision trees11
Reinforcement learning in convergently non-stationary environments: Feudal hierarchies and learned representations11
Discrete preference games with logic-based agents: Formal framework, complexity, and islands of tractability11
Investigating the properties of neural network representations in reinforcement learning10
Optimizing the computation of overriding in DL<10
Credulous acceptance in high-order argumentation frameworks with necessities: An incremental approach10
A framework for step-wise explaining how to solve constraint satisfaction problems10
Almost proportional allocations of indivisible chores: Computation, approximation and efficiency10
On measuring inconsistency in graph databases with regular path constraints10
Fine-tuning transformers: Vocabulary transfer10
Adversarially robust unsupervised domain adaptation10
Improved metric distortion via threshold approvals10
On the design of truthful mechanisms for the capacitated facility location problem with two and more facilities10
Editorial Board10
DEED: DEep Evidential Doctor10
Integrating multi-armed bandit with local search for MaxSAT10
Maximum Likelihood Evidential Reasoning10
Generative models for grid-based and image-based pathfinding9
Search-engine-augmented dialogue response generation with cheaply supervised query production9
Budget-feasible mechanisms for proportionally selecting agents from groups9
Taking into account “who said what” in abstract argumentation: Complexity results9
Evolving interpretable decision trees for reinforcement learning9
The complexity of optimizing atomic congestion9
A polynomial reduction of forks into logic programs9
FedHM: Efficient federated learning for heterogeneous models via low-rank factorization9
Bisimulation between base argumentation and premise-conclusion argumentation8
Non-deterministic approximation fixpoint theory and its application in disjunctive logic programming8
On the computation of mixed strategies for security games with general defending requirements8
Saliency-aware regularized graph neural network8
A tetrachotomy of ontology-mediated queries with a covering axiom8
Multi resource allocation with partial preferences8
Picking sequences and monotonicity in weighted fair division8
Knowledge-based strategies for multi-agent teams playing against Nature8
Learning a fast 3D spectral approach to object segmentation and tracking over space and time8
Reward (Mis)design for autonomous driving8
Sound and relatively complete belief Hoare logic for statistical hypothesis testing programs8
Entropy estimation via uniformization8
Integration of memory systems supporting non-symbolic representations in an architecture for lifelong development of artificial agents8
Truthful aggregation of budget proposals with proportionality guarantees8
Natural language watermarking via paraphraser-based lexical substitution8
AI-driven transcriptome profile-guided hit molecule generation8
Editorial Board8
Sound and complete causal identification with latent variables given local background knowledge7
A general framework for preferences in answer set programming7
Online joint bid/daily budget optimization of Internet advertising campaigns7
Hierarchical clustering optimizes the tradeoff between compositionality and expressivity of task structures for flexible reinforcement learning7
Active legibility in multiagent reinforcement learning7
Bayesian auctions with efficient queries7
Data-informed knowledge and strategies7
Class fairness in online matching7
Relaxed core stability in hedonic games7
Editorial Board7
Privacy preserving solution of DCOPs by mediation7
Adaptive large-neighbourhood search for optimisation in answer-set programming7
A neurosymbolic cognitive architecture framework for handling novelties in open worlds7
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