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 2021-09-01 to 2025-09-01.)
ArticleCitations
Online learning in sequential Bayesian persuasion: Handling unknown priors449
Knowledge-driven profile dynamics299
Primarily about primaries191
Polynomial combined first-order rewritings for linear and guarded existential rules163
Drawing a map of elections139
Mitigating robust overfitting via self-residual-calibration regularization113
Iterative voting with partial preferences85
Transfer learning for collaborative recommendation with biased and unbiased data83
A computational model of Ostrom's Institutional Analysis and Development framework79
Diagnosis of intermittent faults in Multi-Agent Systems: An SFL approach78
“That's (not) the output I expected!” On the role of end user expectations in creating explanations of AI systems68
An α-regret analysis of adversarial bilateral trade67
Accurate parameter estimation for safety-critical systems with unmodeled dynamics59
An efficient algorithm for counting Markov equivalent DAGs55
Learning MAX-SAT from contextual examples for combinatorial optimisation53
(1+1) genetic programming with functionally complete instruction sets can evolve Boolean conjunctions and disjunctions with arbitrarily small error50
Hyper-heuristics for personnel scheduling domains49
Manipulation and peer mechanisms: A survey49
Epistemic planning: Perspectives on the special issue48
Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control48
Reward is enough47
No free lunch theorem for privacy-preserving LLM inference43
GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems42
Defense coordination in security games: Equilibrium analysis and mechanism design40
Fair allocation of indivisible goods: Beyond additive valuations37
CureGraph: Contrastive multi-modal graph representation learning for urban living circle health profiling and prediction34
The distortion of distributed metric social choice34
SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes34
Certified reinforcement learning with logic guidance33
Approximate weighted model integration on DNF structures32
End-to-end neural event coreference resolution32
CBS-Budget (CBSB): A complete and bounded suboptimal search for multi-agent path finding30
Corrigendum to “Accurate parameter estimation for safety-critical systems with unmodeled dynamics” [Artif. Intell. 316 (2023) 103857]30
Editorial Board29
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The complexity landscape of claim-augmented argumentation frameworks27
Learning optimal contracts with small action spaces27
A complete classification of the complexity and rewritability of ontology-mediated queries based on the description logic 26
Introduction to open-world AI24
Spectral clustering with robust self-learning constraints22
Propositional and predicate logics of incomplete information22
Automatically designing counterfactual regret minimization algorithms for solving imperfect-information games21
Editorial Board21
From statistical relational to neurosymbolic artificial intelligence: A survey21
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Atlas of AI – Book review21
Logical separability of labeled data examples under ontologies21
Temporal inductive path neural network for temporal knowledge graph reasoning21
Integrating symbolic reasoning into neural generative models for design generation20
Is it possible to find the single nearest neighbor of a query in high dimensions?20
Acquiring and modeling abstract commonsense knowledge via conceptualization20
Lifted action models learning from partial traces20
Exploratory machine learning with unknown unknowns19
Approximating problems in abstract argumentation with graph convolutional networks19
Sequential model-based diagnosis by systematic search18
Self-adjusting offspring population sizes outperform fixed parameters on the cliff function18
Editorial Board17
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A multi-graph representation for event extraction17
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Temporal logic explanations for dynamic decision systems using anchors and Monte Carlo Tree Search16
The notion of Abstraction in Ontology-based Data Management15
Committing to correlated strategies with multiple leaders15
Functional Relation Field: A Model-Agnostic Framework for Multivariate Time Series Forecasting15
Syntactic ASP forgetting with forks15
A claim-centric perspective on abstract argumentation semantics: Claim-defeat, principles, and expressiveness15
Emotional conversation generation with heterogeneous graph neural network15
An abstract and structured account of dialectical argument strength15
Gradient-based mixed planning with symbolic and numeric action parameters15
Commonsense visual sensemaking for autonomous driving – On generalised neurosymbolic online abduction integrating vision and semantics15
Multi-view graph convolutional networks with attention mechanism14
Logic Tensor Networks14
Corrigendum to “Learning constraints through partial queries” [Artificial Intelligence 319 (2023) 103896]14
Risk-aware controller for autonomous vehicles using model-based collision prediction and reinforcement learning13
Safe, learning-based MPC for highway driving under lane-change uncertainty: A distributionally robust approach13
Reward-respecting subtasks for model-based reinforcement learning13
Editorial Board13
Privacy-preserving graph convolution network for federated item recommendation13
Pessimistic value iteration for multi-task data sharing in Offline Reinforcement Learning13
Coalitional permutation manipulations in the Gale-Shapley algorithm13
Almost proportional allocations of indivisible chores: Computation, approximation and efficiency12
Discrete preference games with logic-based agents: Formal framework, complexity, and islands of tractability12
Editorial Board12
Investigating the properties of neural network representations in reinforcement learning12
On measuring inconsistency in graph databases with regular path constraints12
Adversarial analysis of similarity-based sign prediction12
Optimizing the computation of overriding in DL<12
Fine-tuning transformers: Vocabulary transfer11
DEED: DEep Evidential Doctor11
(Re)Conceptualizing trustworthy AI: A foundation for change11
Matching papers and reviewers at large conferences11
Maximum Likelihood Evidential Reasoning11
The influence of dimensions on the complexity of computing decision trees11
Taking into account “who said what” in abstract argumentation: Complexity results11
The complexity of optimizing atomic congestion10
Learning a fast 3D spectral approach to object segmentation and tracking over space and time10
Generative models for grid-based and image-based pathfinding10
Sound and relatively complete belief Hoare logic for statistical hypothesis testing programs10
Truthful aggregation of budget proposals with proportionality guarantees9
Search-engine-augmented dialogue response generation with cheaply supervised query production9
Evolving interpretable decision trees for reinforcement learning9
Integrating multi-armed bandit with local search for MaxSAT9
Reward (Mis)design for autonomous driving9
A framework for step-wise explaining how to solve constraint satisfaction problems9
Improved metric distortion via threshold approvals9
Credulous acceptance in high-order argumentation frameworks with necessities: An incremental approach9
Natural language watermarking via paraphraser-based lexical substitution9
Saliency-aware regularized graph neural network9
Budget-feasible mechanisms for proportionally selecting agents from groups9
On the computation of mixed strategies for security games with general defending requirements9
FedHM: Efficient federated learning for heterogeneous models via low-rank factorization9
A polynomial reduction of forks into logic programs9
A tetrachotomy of ontology-mediated queries with a covering axiom8
Knowledge-based strategies for multi-agent teams playing against Nature8
Picking sequences and monotonicity in weighted fair division8
A general framework for preferences in answer set programming8
Editorial Board8
Multi resource allocation with partial preferences8
Neural probabilistic logic programming in DeepProbLog8
Sound and complete causal identification with latent variables given local background knowledge8
AI-driven transcriptome profile-guided hit molecule generation8
Bisimulation between base argumentation and premise-conclusion argumentation8
Entropy estimation via uniformization8
Editorial Board8
Data-informed knowledge and strategies8
A differentiable first-order rule learner for inductive logic programming7
Privacy preserving solution of DCOPs by mediation7
Adaptive large-neighbourhood search for optimisation in answer-set programming7
Editorial Board7
Addressing maximization bias in reinforcement learning with two-sample testing7
Hierarchical clustering optimizes the tradeoff between compositionality and expressivity of task structures for flexible reinforcement learning7
A neurosymbolic cognitive architecture framework for handling novelties in open worlds7
Online joint bid/daily budget optimization of Internet advertising campaigns7
Bayesian auctions with efficient queries7
Editorial Board7
Class fairness in online matching7
Active legibility in multiagent reinforcement learning7
Integration of memory systems supporting non-symbolic representations in an architecture for lifelong development of artificial agents7
Non-deterministic approximation fixpoint theory and its application in disjunctive logic programming7
Editorial Board7
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