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 2021-08-01 to 2025-08-01.)
ArticleCitations
Online learning in sequential Bayesian persuasion: Handling unknown priors433
Diagnosis of intermittent faults in Multi-Agent Systems: An SFL approach357
Knowledge-driven profile dynamics290
Primarily about primaries187
Polynomial combined first-order rewritings for linear and guarded existential rules152
Transfer learning for collaborative recommendation with biased and unbiased data132
Drawing a map of elections111
Mitigating robust overfitting via self-residual-calibration regularization84
Iterative voting with partial preferences78
A computational model of Ostrom's Institutional Analysis and Development framework76
“That's (not) the output I expected!” On the role of end user expectations in creating explanations of AI systems74
An α-regret analysis of adversarial bilateral trade67
Accurate parameter estimation for safety-critical systems with unmodeled dynamics62
Learning MAX-SAT from contextual examples for combinatorial optimisation52
An efficient algorithm for counting Markov equivalent DAGs52
(1+1) genetic programming with functionally complete instruction sets can evolve Boolean conjunctions and disjunctions with arbitrarily small error50
Hyper-heuristics for personnel scheduling domains47
Manipulation and peer mechanisms: A survey47
SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes45
Fair allocation of indivisible goods: Beyond additive valuations44
GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems42
Defense coordination in security games: Equilibrium analysis and mechanism design40
The distortion of distributed metric social choice39
No free lunch theorem for privacy-preserving LLM inference39
Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control38
Epistemic planning: Perspectives on the special issue37
Reward is enough36
CureGraph: Contrastive multi-modal graph representation learning for urban living circle health profiling and prediction34
Certified reinforcement learning with logic guidance33
End-to-end neural event coreference resolution30
From statistical relational to neurosymbolic artificial intelligence: A survey30
Propositional and predicate logics of incomplete information30
Approximate weighted model integration on DNF structures30
Editorial Board29
Editorial Board29
Corrigendum to “Accurate parameter estimation for safety-critical systems with unmodeled dynamics” [Artif. Intell. 316 (2023) 103857]29
Editorial Board29
Editorial Board28
The complexity landscape of claim-augmented argumentation frameworks27
Learning optimal contracts with small action spaces26
A complete classification of the complexity and rewritability of ontology-mediated queries based on the description logic 25
Spectral clustering with robust self-learning constraints25
Temporal inductive path neural network for temporal knowledge graph reasoning22
Introduction to open-world AI22
Editorial Board22
Editorial Board21
Atlas of AI – Book review21
Logical separability of labeled data examples under ontologies20
Automatically designing counterfactual regret minimization algorithms for solving imperfect-information games20
Acquiring and modeling abstract commonsense knowledge via conceptualization20
Self-adjusting offspring population sizes outperform fixed parameters on the cliff function20
Editorial Board20
Integrating symbolic reasoning into neural generative models for design generation20
Sequential model-based diagnosis by systematic search20
Lifted action models learning from partial traces20
Approximating problems in abstract argumentation with graph convolutional networks19
Is it possible to find the single nearest neighbor of a query in high dimensions?19
Exploratory machine learning with unknown unknowns18
Editorial Board18
A multi-graph representation for event extraction18
Editorial Board17
Editorial Board17
Logic Tensor Networks17
Editorial Board17
Temporal logic explanations for dynamic decision systems using anchors and Monte Carlo Tree Search16
Syntactic ASP forgetting with forks16
The notion of Abstraction in Ontology-based Data Management16
Emotional conversation generation with heterogeneous graph neural network15
Gradient-based mixed planning with symbolic and numeric action parameters15
A claim-centric perspective on abstract argumentation semantics: Claim-defeat, principles, and expressiveness15
An abstract and structured account of dialectical argument strength15
Committing to correlated strategies with multiple leaders15
Functional Relation Field: A Model-Agnostic Framework for Multivariate Time Series Forecasting15
Commonsense visual sensemaking for autonomous driving – On generalised neurosymbolic online abduction integrating vision and semantics15
Corrigendum to “Learning constraints through partial queries” [Artificial Intelligence 319 (2023) 103896]14
Multi-view graph convolutional networks with attention mechanism14
Editorial Board14
Privacy-preserving graph convolution network for federated item recommendation13
Reward-respecting subtasks for model-based reinforcement learning13
Risk-aware controller for autonomous vehicles using model-based collision prediction and reinforcement learning13
Pessimistic value iteration for multi-task data sharing in Offline Reinforcement Learning13
Safe, learning-based MPC for highway driving under lane-change uncertainty: A distributionally robust approach13
Coalitional permutation manipulations in the Gale-Shapley algorithm12
Adversarial analysis of similarity-based sign prediction12
The influence of dimensions on the complexity of computing decision trees12
Editorial Board12
Discrete preference games with logic-based agents: Formal framework, complexity, and islands of tractability12
Fine-tuning transformers: Vocabulary transfer12
On measuring inconsistency in graph databases with regular path constraints12
Optimizing the computation of overriding in DL<12
Almost proportional allocations of indivisible chores: Computation, approximation and efficiency11
Investigating the properties of neural network representations in reinforcement learning11
DEED: DEep Evidential Doctor11
Matching papers and reviewers at large conferences11
(Re)Conceptualizing trustworthy AI: A foundation for change11
Maximum Likelihood Evidential Reasoning11
The complexity of optimizing atomic congestion10
Taking into account “who said what” in abstract argumentation: Complexity results10
Integrating multi-armed bandit with local search for MaxSAT10
Natural language watermarking via paraphraser-based lexical substitution10
A polynomial reduction of forks into logic programs10
A framework for step-wise explaining how to solve constraint satisfaction problems9
Credulous acceptance in high-order argumentation frameworks with necessities: An incremental approach9
Learning a fast 3D spectral approach to object segmentation and tracking over space and time9
Saliency-aware regularized graph neural network9
Budget-feasible mechanisms for proportionally selecting agents from groups9
Algorithms and conditional lower bounds for planning problems9
Sound and relatively complete belief Hoare logic for statistical hypothesis testing programs9
Truthful aggregation of budget proposals with proportionality guarantees9
Search-engine-augmented dialogue response generation with cheaply supervised query production9
Generative models for grid-based and image-based pathfinding9
Reward (Mis)design for autonomous driving9
Improved metric distortion via threshold approvals8
AI-driven transcriptome profile-guided hit molecule generation8
Neural probabilistic logic programming in DeepProbLog8
Knowledge-based strategies for multi-agent teams playing against Nature8
Editorial Board8
Bisimulation between base argumentation and premise-conclusion argumentation8
On the computation of mixed strategies for security games with general defending requirements8
A tetrachotomy of ontology-mediated queries with a covering axiom8
Picking sequences and monotonicity in weighted fair division8
Entropy estimation via uniformization8
Editorial Board8
Evolving interpretable decision trees for reinforcement learning8
Editorial Board8
FedHM: Efficient federated learning for heterogeneous models via low-rank factorization8
Multi resource allocation with partial preferences8
A general framework for preferences in answer set programming8
Data-informed knowledge and strategies7
Editorial Board7
Editorial Board7
Sound and complete causal identification with latent variables given local background knowledge7
Integration of memory systems supporting non-symbolic representations in an architecture for lifelong development of artificial agents7
Online joint bid/daily budget optimization of Internet advertising campaigns7
Editorial Board7
Bayesian auctions with efficient queries7
Non-deterministic approximation fixpoint theory and its application in disjunctive logic programming7
A neurosymbolic cognitive architecture framework for handling novelties in open worlds7
Adaptive large-neighbourhood search for optimisation in answer-set programming7
Privacy preserving solution of DCOPs by mediation7
Hierarchical clustering optimizes the tradeoff between compositionality and expressivity of task structures for flexible reinforcement learning7
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