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 2021-06-01 to 2025-06-01.)
ArticleCitations
Online learning in sequential Bayesian persuasion: Handling unknown priors397
Diagnosis of intermittent faults in Multi-Agent Systems: An SFL approach368
Knowledge-driven profile dynamics337
Planning-based knowing how: A unified approach277
Primarily about primaries173
Polynomial combined first-order rewritings for linear and guarded existential rules134
Drawing a map of elections119
Mitigating robust overfitting via self-residual-calibration regularization98
Ballooning multi-armed bandits86
Iterative voting with partial preferences80
A computational model of Ostrom's Institutional Analysis and Development framework72
Transfer learning for collaborative recommendation with biased and unbiased data70
“That's (not) the output I expected!” On the role of end user expectations in creating explanations of AI systems68
Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control65
Epistemic planning: Perspectives on the special issue63
Manipulation and peer mechanisms: A survey57
Defense coordination in security games: Equilibrium analysis and mechanism design50
An α-regret analysis of adversarial bilateral trade49
Hyper-heuristics for personnel scheduling domains47
SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes46
The distortion of distributed metric social choice44
Accurate parameter estimation for safety-critical systems with unmodeled dynamics42
Learning MAX-SAT from contextual examples for combinatorial optimisation39
An efficient algorithm for counting Markov equivalent DAGs39
(1+1) genetic programming with functionally complete instruction sets can evolve Boolean conjunctions and disjunctions with arbitrarily small error38
Fair allocation of indivisible goods: Beyond additive valuations37
No free lunch theorem for privacy-preserving LLM inference37
Reward is enough33
CureGraph: Contrastive multi-modal graph representation learning for urban living circle health profiling and prediction33
GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems33
End-to-end neural event coreference resolution32
Certified reinforcement learning with logic guidance32
Propositional and predicate logics of incomplete information32
Editorial Board30
Corrigendum to “Accurate parameter estimation for safety-critical systems with unmodeled dynamics” [Artif. Intell. 316 (2023) 103857]30
Approximate weighted model integration on DNF structures30
Editorial Board28
Editorial Board28
The complexity landscape of claim-augmented argumentation frameworks27
Editorial Board27
A complete classification of the complexity and rewritability of ontology-mediated queries based on the description logic 26
From statistical relational to neurosymbolic artificial intelligence: A survey25
Acceptance in incomplete argumentation frameworks25
Spectral clustering with robust self-learning constraints24
Temporal inductive path neural network for temporal knowledge graph reasoning24
Counterfactual state explanations for reinforcement learning agents via generative deep learning23
Exploratory machine learning with unknown unknowns22
Lifted action models learning from partial traces22
Editorial Board21
Editorial Board20
Atlas of AI – Book review20
Editorial Board20
Logical separability of labeled data examples under ontologies19
A multi-graph representation for event extraction19
Automatically designing counterfactual regret minimization algorithms for solving imperfect-information games19
Integrating symbolic reasoning into neural generative models for design generation19
Self-adjusting offspring population sizes outperform fixed parameters on the cliff function19
Acquiring and modeling abstract commonsense knowledge via conceptualization18
Is it possible to find the single nearest neighbor of a query in high dimensions?18
Sequential model-based diagnosis by systematic search18
Editorial Board17
Editorial Board17
Approximating problems in abstract argumentation with graph convolutional networks17
Editorial Board16
Temporal logic explanations for dynamic decision systems using anchors and Monte Carlo Tree Search16
Editorial Board16
Syntactic ASP forgetting with forks16
Commonsense visual sensemaking for autonomous driving – On generalised neurosymbolic online abduction integrating vision and semantics15
The notion of Abstraction in Ontology-based Data Management15
A claim-centric perspective on abstract argumentation semantics: Claim-defeat, principles, and expressiveness15
Functional Relation Field: A Model-Agnostic Framework for Multivariate Time Series Forecasting14
Committing to correlated strategies with multiple leaders14
An abstract and structured account of dialectical argument strength14
Logic Tensor Networks14
Multi-view graph convolutional networks with attention mechanism14
Gradient-based mixed planning with symbolic and numeric action parameters14
Emotional conversation generation with heterogeneous graph neural network14
Reward-respecting subtasks for model-based reinforcement learning13
Editorial Board13
Safe, learning-based MPC for highway driving under lane-change uncertainty: A distributionally robust approach13
Corrigendum to “Learning constraints through partial queries” [Artificial Intelligence 319 (2023) 103896]13
New width parameters for SAT and #SAT13
Coalitional permutation manipulations in the Gale-Shapley algorithm12
Privacy-preserving graph convolution network for federated item recommendation12
Pessimistic value iteration for multi-task data sharing in Offline Reinforcement Learning12
(Re)Conceptualizing trustworthy AI: A foundation for change11
Investigating the properties of neural network representations in reinforcement learning11
Discrete preference games with logic-based agents: Formal framework, complexity, and islands of tractability11
The influence of dimensions on the complexity of computing decision trees11
Risk-aware controller for autonomous vehicles using model-based collision prediction and reinforcement learning11
On measuring inconsistency in graph databases with regular path constraints11
Almost proportional allocations of indivisible chores: Computation, approximation and efficiency11
DEED: DEep Evidential Doctor11
Editorial Board11
Adversarial analysis of similarity-based sign prediction11
Optimizing the computation of overriding in DL<11
Fine-tuning transformers: Vocabulary transfer11
Maximum Likelihood Evidential Reasoning10
Credulous acceptance in high-order argumentation frameworks with necessities: An incremental approach10
Improved metric distortion via threshold approvals10
On the computation of mixed strategies for security games with general defending requirements10
Truthful aggregation of budget proposals with proportionality guarantees10
Matching papers and reviewers at large conferences10
Using ontologies to enhance human understandability of global post-hoc explanations of black-box models10
Taking into account “who said what” in abstract argumentation: Complexity results10
A framework for step-wise explaining how to solve constraint satisfaction problems9
A polynomial reduction of forks into logic programs9
Learning a fast 3D spectral approach to object segmentation and tracking over space and time9
Generative models for grid-based and image-based pathfinding9
The complexity of optimizing atomic congestion9
Algorithms and conditional lower bounds for planning problems9
Saliency-aware regularized graph neural network9
Integrating multi-armed bandit with local search for MaxSAT9
Natural language watermarking via paraphraser-based lexical substitution9
Sound and relatively complete belief Hoare logic for statistical hypothesis testing programs9
AI-driven transcriptome profile-guided hit molecule generation8
Search-engine-augmented dialogue response generation with cheaply supervised query production8
A tetrachotomy of ontology-mediated queries with a covering axiom8
Evolving interpretable decision trees for reinforcement learning8
Budget-feasible mechanisms for proportionally selecting agents from groups8
Multi resource allocation with partial preferences8
Reward (Mis)design for autonomous driving8
Argumentative explanations for interactive recommendations8
A general framework for preferences in answer set programming7
Hierarchical clustering optimizes the tradeoff between compositionality and expressivity of task structures for flexible reinforcement learning7
Editorial Board7
Bisimulation between base argumentation and premise-conclusion argumentation7
Editorial Board7
A neurosymbolic cognitive architecture framework for handling novelties in open worlds7
Editorial Board7
Picking sequences and monotonicity in weighted fair division7
Knowledge-based strategies for multi-agent teams playing against Nature7
Non-deterministic approximation fixpoint theory and its application in disjunctive logic programming7
Data-informed knowledge and strategies7
Online joint bid/daily budget optimization of Internet advertising campaigns7
Neural probabilistic logic programming in DeepProbLog7
Acyclic orders, partition schemes and CSPs: Unified hardness proofs and improved algorithms7
Entropy estimation via uniformization7
Adaptive large-neighbourhood search for optimisation in answer-set programming7
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