OOIR: Observatory of International Research

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 2021-07-01 to 2025-07-01.)

Article	Citations
Online learning in sequential Bayesian persuasion: Handling unknown priors	410
Diagnosis of intermittent faults in Multi-Agent Systems: An SFL approach	387
Knowledge-driven profile dynamics	347
Planning-based knowing how: A unified approach	284
Primarily about primaries	179
Polynomial combined first-order rewritings for linear and guarded existential rules	140
Drawing a map of elections	127
Mitigating robust overfitting via self-residual-calibration regularization	102
Iterative voting with partial preferences	88
A computational model of Ostrom's Institutional Analysis and Development framework	81
Transfer learning for collaborative recommendation with biased and unbiased data	75
“That's (not) the output I expected!” On the role of end user expectations in creating explanations of AI systems	71
Ballooning multi-armed bandits	70
Epistemic planning: Perspectives on the special issue	64
An α-regret analysis of adversarial bilateral trade	60
Hyper-heuristics for personnel scheduling domains	52
Accurate parameter estimation for safety-critical systems with unmodeled dynamics	51
An efficient algorithm for counting Markov equivalent DAGs	47
Learning MAX-SAT from contextual examples for combinatorial optimisation	46
(1+1) genetic programming with functionally complete instruction sets can evolve Boolean conjunctions and disjunctions with arbitrarily small error	45
Manipulation and peer mechanisms: A survey	44
GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems	40
The distortion of distributed metric social choice	40
Defense coordination in security games: Equilibrium analysis and mechanism design	39
No free lunch theorem for privacy-preserving LLM inference	38

Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control	38
SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes	37
Reward is enough	35
Fair allocation of indivisible goods: Beyond additive valuations	35
CureGraph: Contrastive multi-modal graph representation learning for urban living circle health profiling and prediction	34
Certified reinforcement learning with logic guidance	33
Propositional and predicate logics of incomplete information	33
End-to-end neural event coreference resolution	32
Approximate weighted model integration on DNF structures	30
Corrigendum to “Accurate parameter estimation for safety-critical systems with unmodeled dynamics” [Artif. Intell. 316 (2023) 103857]	30
Editorial Board	28
Editorial Board	28
Editorial Board	28
Editorial Board	28
Learning optimal contracts with small action spaces	27
The complexity landscape of claim-augmented argumentation frameworks	27
A complete classification of the complexity and rewritability of ontology-mediated queries based on the description logic	25
From statistical relational to neurosymbolic artificial intelligence: A survey	25
Spectral clustering with robust self-learning constraints	24
Temporal inductive path neural network for temporal knowledge graph reasoning	24
Atlas of AI – Book review	22
Editorial Board	22
Editorial Board	21
Editorial Board	20
Self-adjusting offspring population sizes outperform fixed parameters on the cliff function	20
Logical separability of labeled data examples under ontologies	20
Sequential model-based diagnosis by systematic search	20
A multi-graph representation for event extraction	20
Automatically designing counterfactual regret minimization algorithms for solving imperfect-information games	20
Lifted action models learning from partial traces	19
Integrating symbolic reasoning into neural generative models for design generation	19
Exploratory machine learning with unknown unknowns	19
Approximating problems in abstract argumentation with graph convolutional networks	18
Editorial Board	18
Is it possible to find the single nearest neighbor of a query in high dimensions?	18
Editorial Board	18
Acquiring and modeling abstract commonsense knowledge via conceptualization	18
Editorial Board	17
Temporal logic explanations for dynamic decision systems using anchors and Monte Carlo Tree Search	17
Editorial Board	17
Syntactic ASP forgetting with forks	16
The notion of Abstraction in Ontology-based Data Management	16
Commonsense visual sensemaking for autonomous driving – On generalised neurosymbolic online abduction integrating vision and semantics	16
Gradient-based mixed planning with symbolic and numeric action parameters	15
A claim-centric perspective on abstract argumentation semantics: Claim-defeat, principles, and expressiveness	15
An abstract and structured account of dialectical argument strength	15
Functional Relation Field: A Model-Agnostic Framework for Multivariate Time Series Forecasting	15
Committing to correlated strategies with multiple leaders	15
Multi-view graph convolutional networks with attention mechanism	14
Logic Tensor Networks	14

Editorial Board	14
Emotional conversation generation with heterogeneous graph neural network	14
Reward-respecting subtasks for model-based reinforcement learning	14
Corrigendum to “Learning constraints through partial queries” [Artificial Intelligence 319 (2023) 103896]	14
Pessimistic value iteration for multi-task data sharing in Offline Reinforcement Learning	14
Coalitional permutation manipulations in the Gale-Shapley algorithm	13
(Re)Conceptualizing trustworthy AI: A foundation for change	12
Fine-tuning transformers: Vocabulary transfer	12
Privacy-preserving graph convolution network for federated item recommendation	12
Safe, learning-based MPC for highway driving under lane-change uncertainty: A distributionally robust approach	12
On measuring inconsistency in graph databases with regular path constraints	12
Risk-aware controller for autonomous vehicles using model-based collision prediction and reinforcement learning	12
Editorial Board	12
Adversarial analysis of similarity-based sign prediction	12
Discrete preference games with logic-based agents: Formal framework, complexity, and islands of tractability	11
Almost proportional allocations of indivisible chores: Computation, approximation and efficiency	11
Using ontologies to enhance human understandability of global post-hoc explanations of black-box models	11
Matching papers and reviewers at large conferences	11
Optimizing the computation of overriding in DL<	11
Taking into account “who said what” in abstract argumentation: Complexity results	11
Maximum Likelihood Evidential Reasoning	11
DEED: DEep Evidential Doctor	11
Investigating the properties of neural network representations in reinforcement learning	11
The influence of dimensions on the complexity of computing decision trees	11
A framework for step-wise explaining how to solve constraint satisfaction problems	10
Credulous acceptance in high-order argumentation frameworks with necessities: An incremental approach	10
Truthful aggregation of budget proposals with proportionality guarantees	10
The complexity of optimizing atomic congestion	10
Integrating multi-armed bandit with local search for MaxSAT	9
Generative models for grid-based and image-based pathfinding	9
Budget-feasible mechanisms for proportionally selecting agents from groups	9
Improved metric distortion via threshold approvals	9
A polynomial reduction of forks into logic programs	9
Learning a fast 3D spectral approach to object segmentation and tracking over space and time	9
Search-engine-augmented dialogue response generation with cheaply supervised query production	9
Sound and relatively complete belief Hoare logic for statistical hypothesis testing programs	9
Algorithms and conditional lower bounds for planning problems	9
FedHM: Efficient federated learning for heterogeneous models via low-rank factorization	9
Evolving interpretable decision trees for reinforcement learning	9
Argumentative explanations for interactive recommendations	8
On the computation of mixed strategies for security games with general defending requirements	8
Bisimulation between base argumentation and premise-conclusion argumentation	8
Natural language watermarking via paraphraser-based lexical substitution	8
AI-driven transcriptome profile-guided hit molecule generation	8
Acyclic orders, partition schemes and CSPs: Unified hardness proofs and improved algorithms	8
Knowledge-based strategies for multi-agent teams playing against Nature	8
Reward (Mis)design for autonomous driving	8
Multi resource allocation with partial preferences	8
Editorial Board	8
A tetrachotomy of ontology-mediated queries with a covering axiom	8
Saliency-aware regularized graph neural network	8
Adaptive large-neighbourhood search for optimisation in answer-set programming	7
Neural probabilistic logic programming in DeepProbLog	7
Online joint bid/daily budget optimization of Internet advertising campaigns	7
A neurosymbolic cognitive architecture framework for handling novelties in open worlds	7
Hierarchical clustering optimizes the tradeoff between compositionality and expressivity of task structures for flexible reinforcement learning	7
Picking sequences and monotonicity in weighted fair division	7
Editorial Board	7
Integration of memory systems supporting non-symbolic representations in an architecture for lifelong development of artificial agents	7
Data-informed knowledge and strategies	7
Non-deterministic approximation fixpoint theory and its application in disjunctive logic programming	7
Entropy estimation via uniformization	7
Editorial Board	7
Sound and complete causal identification with latent variables given local background knowledge	7
A general framework for preferences in answer set programming	7