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 2021-10-01 to 2025-10-01.)
ArticleCitations
Online learning in sequential Bayesian persuasion: Handling unknown priors307
Knowledge-driven profile dynamics195
Drawing a map of elections168
A computational model of Ostrom's Institutional Analysis and Development framework144
Iterative voting with partial preferences89
Diagnosis of intermittent faults in Multi-Agent Systems: An SFL approach86
Polynomial combined first-order rewritings for linear and guarded existential rules84
Mitigating robust overfitting via self-residual-calibration regularization82
Transfer learning for collaborative recommendation with biased and unbiased data75
Primarily about primaries69
Manipulation and peer mechanisms: A survey56
An α-regret analysis of adversarial bilateral trade56
Hyper-heuristics for personnel scheduling domains53
GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems52
Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control51
Fair allocation of indivisible goods: Beyond additive valuations51
Defense coordination in security games: Equilibrium analysis and mechanism design50
Learning MAX-SAT from contextual examples for combinatorial optimisation50
The distortion of distributed metric social choice45
Weighted EF1 allocations for indivisible chores40
Estimating possible causal effects with latent variables via adjustment and novel rule orientation40
No free lunch theorem for privacy-preserving LLM inference40
Epistemic planning: Perspectives on the special issue37
An efficient algorithm for counting Markov equivalent DAGs36
(1+1) genetic programming with functionally complete instruction sets can evolve Boolean conjunctions and disjunctions with arbitrarily small error36
Accurate parameter estimation for safety-critical systems with unmodeled dynamics35
SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes34
CBS-Budget (CBSB): A complete and bounded suboptimal search for multi-agent path finding32
Reward is enough32
Certified reinforcement learning with logic guidance31
The complexity landscape of claim-augmented argumentation frameworks31
Editorial Board30
Propositional and predicate logics of incomplete information30
Approximate weighted model integration on DNF structures30
Editorial Board29
Spectral clustering with robust self-learning constraints27
Introduction to open-world AI25
Corrigendum to “Accurate parameter estimation for safety-critical systems with unmodeled dynamics” [Artif. Intell. 316 (2023) 103857]25
A complete classification of the complexity and rewritability of ontology-mediated queries based on the description logic 25
Editorial Board23
Learning optimal contracts with small action spaces22
From statistical relational to neurosymbolic artificial intelligence: A survey22
End-to-end neural event coreference resolution22
Editorial Board22
Temporal inductive path neural network for temporal knowledge graph reasoning22
Editorial Board21
CureGraph: Contrastive multi-modal graph representation learning for urban living circle health profiling and prediction21
Editorial Board21
Exploratory machine learning with unknown unknowns20
Atlas of AI – Book review20
Sequential model-based diagnosis by systematic search20
Editorial Board20
Logical separability of labeled data examples under ontologies19
Lifted action models learning from partial traces19
Acquiring and modeling abstract commonsense knowledge via conceptualization19
Integrating symbolic reasoning into neural generative models for design generation19
Is it possible to find the single nearest neighbor of a query in high dimensions?18
A multi-graph representation for event extraction18
Automatically designing counterfactual regret minimization algorithms for solving imperfect-information games18
Editorial Board17
Approximating problems in abstract argumentation with graph convolutional networks17
Self-adjusting offspring population sizes outperform fixed parameters on the cliff function17
Editorial Board16
Syntactic ASP forgetting with forks16
Editorial Board16
A claim-centric perspective on abstract argumentation semantics: Claim-defeat, principles, and expressiveness16
Functional Relation Field: A Model-Agnostic Framework for Multivariate Time Series Forecasting16
Temporal logic explanations for dynamic decision systems using anchors and Monte Carlo Tree Search16
Gradient-based mixed planning with symbolic and numeric action parameters15
An abstract and structured account of dialectical argument strength15
Committing to correlated strategies with multiple leaders15
Emotional conversation generation with heterogeneous graph neural network15
Editorial Board15
The notion of Abstraction in Ontology-based Data Management15
Logic Tensor Networks14
Corrigendum to “Learning constraints through partial queries” [Artificial Intelligence 319 (2023) 103896]14
Commonsense visual sensemaking for autonomous driving – On generalised neurosymbolic online abduction integrating vision and semantics14
Multi-view graph convolutional networks with attention mechanism14
Safe, learning-based MPC for highway driving under lane-change uncertainty: A distributionally robust approach13
Editorial Board13
Coalitional permutation manipulations in the Gale-Shapley algorithm13
Pessimistic value iteration for multi-task data sharing in Offline Reinforcement Learning13
Reward-respecting subtasks for model-based reinforcement learning13
Risk-aware controller for autonomous vehicles using model-based collision prediction and reinforcement learning13
Privacy-preserving graph convolution network for federated item recommendation13
Adversarial analysis of similarity-based sign prediction12
Matching papers and reviewers at large conferences12
On measuring inconsistency in graph databases with regular path constraints12
Discrete preference games with logic-based agents: Formal framework, complexity, and islands of tractability12
DEED: DEep Evidential Doctor11
Fine-tuning transformers: Vocabulary transfer11
Editorial Board11
Investigating the properties of neural network representations in reinforcement learning11
The influence of dimensions on the complexity of computing decision trees11
Optimizing the computation of overriding in DL<11
(Re)Conceptualizing trustworthy AI: A foundation for change11
Reinforcement learning in convergently non-stationary environments: Feudal hierarchies and learned representations10
FedHM: Efficient federated learning for heterogeneous models via low-rank factorization10
Generative models for grid-based and image-based pathfinding10
Improved metric distortion via threshold approvals10
Maximum Likelihood Evidential Reasoning10
Adversarially robust unsupervised domain adaptation10
The complexity of optimizing atomic congestion10
Integrating multi-armed bandit with local search for MaxSAT10
Almost proportional allocations of indivisible chores: Computation, approximation and efficiency10
Learning a fast 3D spectral approach to object segmentation and tracking over space and time10
Credulous acceptance in high-order argumentation frameworks with necessities: An incremental approach10
A polynomial reduction of forks into logic programs9
A framework for step-wise explaining how to solve constraint satisfaction problems9
Evolving interpretable decision trees for reinforcement learning9
Reward (Mis)design for autonomous driving9
Search-engine-augmented dialogue response generation with cheaply supervised query production9
Natural language watermarking via paraphraser-based lexical substitution9
Truthful aggregation of budget proposals with proportionality guarantees9
Saliency-aware regularized graph neural network9
On the computation of mixed strategies for security games with general defending requirements9
Budget-feasible mechanisms for proportionally selecting agents from groups9
Taking into account “who said what” in abstract argumentation: Complexity results9
Sound and relatively complete belief Hoare logic for statistical hypothesis testing programs9
Picking sequences and monotonicity in weighted fair division8
Non-deterministic approximation fixpoint theory and its application in disjunctive logic programming8
Hierarchical clustering optimizes the tradeoff between compositionality and expressivity of task structures for flexible reinforcement learning8
Bisimulation between base argumentation and premise-conclusion argumentation8
Multi resource allocation with partial preferences8
AI-driven transcriptome profile-guided hit molecule generation8
Online joint bid/daily budget optimization of Internet advertising campaigns8
Entropy estimation via uniformization8
Knowledge-based strategies for multi-agent teams playing against Nature8
A tetrachotomy of ontology-mediated queries with a covering axiom8
Integration of memory systems supporting non-symbolic representations in an architecture for lifelong development of artificial agents8
Bayesian auctions with efficient queries8
Editorial Board8
Editorial Board7
Data-informed knowledge and strategies7
A general framework for preferences in answer set programming7
Editorial Board7
Are the BERT family zero-shot learners? A study on their potential and limitations7
Adaptive large-neighbourhood search for optimisation in answer-set programming7
Privacy preserving solution of DCOPs by mediation7
A neurosymbolic cognitive architecture framework for handling novelties in open worlds7
A theory of synaptic neural balance: From local to global order7
Editorial Board7
Active legibility in multiagent reinforcement learning7
Sound and complete causal identification with latent variables given local background knowledge7
A differentiable first-order rule learner for inductive logic programming7
Knowledge is power: Open-world knowledge representation learning for knowledge-based visual reasoning7
Class fairness in online matching7
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