Artificial Intelligence

Article	Citations
Multiple object tracking: A literature review	411
Explaining individual predictions when features are dependent: More accurate approximations to Shapley values	260
What do we want from Explainable Artificial Intelligence (XAI)? – A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research	255
A survey of inverse reinforcement learning: Challenges, methods and progress	248
Reward is enough	228
Evaluating XAI: A comparison of rule-based and example-based explanations	178
Knowledge graphs as tools for explainable machine learning: A survey	120
Explaining black-box classifiers using post-hoc explanations-by-example: The effect of explanations and error-rates in XAI user studies	117
Logic Tensor Networks	82
Explanation in AI and law: Past, present and future	77
Relation between prognostics predictor evaluation metrics and local interpretability SHAP values	76
Using ontologies to enhance human understandability of global post-hoc explanations of black-box models	72
GLocalX - From Local to Global Explanations of Black Box AI Models	66
Levels of explainable artificial intelligence for human-aligned conversational explanations	59
Toward personalized XAI: A case study in intelligent tutoring systems	59
Interestingness elements for explainable reinforcement learning: Understanding agents' capabilities and limitations	57
A review of possible effects of cognitive biases on interpretation of rule-based machine learning models	54
Analyzing Differentiable Fuzzy Logic Operators	52
Evaluating local explanation methods on ground truth	52
Swarm intelligence for self-organized clustering	47
Multi-agent pathfinding with continuous time	41
Multi-view graph convolutional networks with attention mechanism	40
Enhanced aspect-based sentiment analysis models with progressive self-supervised attention learning	39
Sensitive loss: Improving accuracy and fairness of face representations with discrimination-aware deep learning	36
Neural probabilistic logic programming in DeepProbLog	35

Assessing the communication gap between AI models and healthcare professionals: Explainability, utility and trust in AI-driven clinical decision-making	33
Pairwise symmetry reasoning for multi-agent path finding search	33
Dissecting scientific explanation in AI (sXAI): A case for medicine and healthcare	30
“That's (not) the output I expected!” On the role of end user expectations in creating explanations of AI systems	29
Q-Learning-based model predictive variable impedance control for physical human-robot collaboration	29
Counterfactual state explanations for reinforcement learning agents via generative deep learning	29
SAT Competition 2020	29
Local and global explanations of agent behavior: Integrating strategy summaries with saliency maps	28
Argumentative explanations for interactive recommendations	27
Hard choices in artificial intelligence	26
Pareto optimization for subset selection with dynamic cost constraints	24
CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions	23
Reward (Mis)design for autonomous driving	22
The quest of parsimonious XAI: A human-agent architecture for explanation formulation	22
Towards convergence rate analysis of random forests for classification	22
Acceptance in incomplete argumentation frameworks	21
Mathematical runtime analysis for the non-dominated sorting genetic algorithm II (NSGA-II)	20
Priority inheritance with backtracking for iterative multi-agent path finding	20
SAT-based explicit LTLf	19
Safe multi-agent reinforcement learning for multi-robot control	19
Evaluation of argument strength in attack graphs: Foundations and semantics	19
Foundations of explanations as model reconciliation	18
Commonsense visual sensemaking for autonomous driving – On generalised neurosymbolic online abduction integrating vision and semantics	17
Quantifying and alleviating political bias in language models	17
Logic Explained Networks	17
Kandinsky Patterns	17
Path-length analysis for grid-based path planning	17
Fair division of indivisible goods: Recent progress and open questions	17
Explainable AI tools for legal reasoning about cases: A study on the European Court of Human Rights	16
Making sense of raw input	16
Bayesian feature interaction selection for factorization machines	16
G-LIME: Statistical learning for local interpretations of deep neural network	15
Dependency-based syntax-aware word representations	15
Making sense of sensory input	15
Special issue on Explainable Artificial Intelligence (XAI)	15
Weakly-supervised sensor-based activity segmentation and recognition via learning from distributions	14
Expanding the prediction capacity in long sequence time-series forecasting	14
Properties and interrelationships of skeptical, weakly skeptical, and credulous inference induced by classes of minimal models	14
Spatial relation learning for explainable image classification and annotation in critical applications	14
On the robustness of sparse counterfactual explanations to adverse perturbations	14
Peeking behind the ordinal curtain: Improving distortion via cardinal queries	14
Real-time reasoning in OWL2 for GDPR compliance	14
Online joint bid/daily budget optimization of Internet advertising campaigns	13
Negotiating team formation using deep reinforcement learning	13
Mis- and disinformation in a bounded confidence model	13
Fair division of mixed divisible and indivisible goods	13
Emotional conversation generation with heterogeneous graph neural network	13
Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control	13
Embedding deep networks into visual explanations	12
Imperfect ImaGANation: Implications of GANs exacerbating biases on facial data augmentation and snapchat face lenses	12

Exploration-exploitation in multi-agent learning: Catastrophe theory meets game theory	12
An improved approximation algorithm for maximin shares	11
Picking sequences and monotonicity in weighted fair division	11
ASER: Towards large-scale commonsense knowledge acquisition via higher-order selectional preference over eventualities	11
The defeat of the Winograd Schema Challenge	11
Integrating social influence modeling and user modeling for trust prediction in signed networks	11
Show or suppress? Managing input uncertainty in machine learning model explanations	11
Price of Pareto Optimality in hedonic games	11
Why bad coffee? Explaining BDI agent behaviour with valuings	11
Rethinking formal models of partially observable multiagent decision making	11
A k-additive Choquet integral-based approach to approximate the SHAP values for local interpretability in machine learning	10
Multi-agent path finding with mutex propagation	10
An action language for multi-agent domains	10
Improved local search for the minimum weight dominating set problem in massive graphs by using a deep optimization mechanism	10
End-to-end neural event coreference resolution	10
A reconstruction of multipreference closure	10
Monitoring of perception systems: Deterministic, probabilistic, and learning-based fault detection and identification	10
Overlapping communities and roles in networks with node attributes: Probabilistic graphical modeling, Bayesian formulation and variational inference	9
Utilitarian welfare and representation guarantees of approval-based multiwinner rules	9
DivGAN: A diversity enforcing generative adversarial network for mode collapse reduction	9
Mitigating robust overfitting via self-residual-calibration regularization	9
Diversity of solutions: An exploration through the lens of fixed-parameter tractability theory	9
AutoSTG+: An automatic framework to discover the optimal network for spatio-temporal graph prediction	9
When move acceptance selection hyper-heuristics outperform Metropolis and elitist evolutionary algorithms and when not	9
Envy-free allocations respecting social networks	9
From statistical relational to neurosymbolic artificial intelligence: A survey	9
Using state abstractions to compute personalized contrastive explanations for AI agent behavior	9
Schelling games on graphs	9
Planning-based knowing how: A unified approach	8
Preference-based inconsistency-tolerant query answering under existential rules	8
Differential privacy of hierarchical Census data: An optimization approach	8
Dashed strings for string constraint solving	8
Using POMDPs for learning cost sensitive decision trees	8
A semantics for Hybrid Probabilistic Logic programs with function symbols	8
Open-world probabilistic databases: Semantics, algorithms, complexity	8
On fair selection in the presence of implicit and differential variance	8
A framework for step-wise explaining how to solve constraint satisfaction problems	8
Robustness among multiwinner voting rules	8
X*: Anytime Multi-Agent Path Finding for Sparse Domains using Window-Based Iterative Repairs	8
Deliberative acting, planning and learning with hierarchical operational models	8
Result diversification by multi-objective evolutionary algorithms with theoretical guarantees	8
Safe, learning-based MPC for highway driving under lane-change uncertainty: A distributionally robust approach	7
Spectral clustering with robust self-learning constraints	7
How to find a good explanation for clustering?	7
An abstraction-refinement framework for verifying strategic properties in multi-agent systems with imperfect information	7
Artificial Intelligence requires more than deep learning — but what, exactly?	7
On the noise estimation statistics	7
VoCSK: Verb-oriented commonsense knowledge mining with taxonomy-guided induction	7
Efficient multi-agent epistemic planning: Teaching planners about nested belief	7
Natural language watermarking via paraphraser-based lexical substitution	7
The distortion of distributed metric social choice	7
The metric distortion of multiwinner voting	6
Shedding new light on the foundations of abstract argumentation: Modularization and weak admissibility	6
Fair allocation of indivisible goods: Beyond additive valuations	6
Sim-to-Lab-to-Real: Safe reinforcement learning with shielding and generalization guarantees	6
Control complexity in Borda elections: Solving all open cases of offline control and some cases of online control	6
A local method for identifying causal relations under Markov equivalence	6
PC-SyncBB: A privacy preserving collusion secure DCOP algorithm	6
Propositional and predicate logics of incomplete information	6
Fine-tuning transformers: Vocabulary transfer	6
Incremental computation for structured argumentation over dynamic DeLP knowledge bases	6
Expecting the unexpected: Goal recognition for rational and irrational agents	6
Risk-aware controller for autonomous vehicles using model-based collision prediction and reinforcement learning	6
Probabilistic modelling of general noisy multi-manifold data sets	6
Solving simultaneous target assignment and path planning efficiently with time-independent execution	6
LMMS reloaded: Transformer-based sense embeddings for disambiguation and beyond	6
Diffusion auction design	6
Computational complexity of flat and generic Assumption-Based Argumentation, with and without probabilities	6
A Bayesian approach to (online) transfer learning: Theory and algorithms	6
Tractability of explaining classifier decisions	5
The quarks of attention: Structure and capacity of neural attention building blocks	5
Propositional proof systems based on maximum satisfiability	5
The effects of explanations on automation bias	5
Discovering agents	5
A lightweight epistemic logic and its application to planning	5
Simple and efficient bi-objective search algorithms via fast dominance checks	5
A computational model of Ostrom's Institutional Analysis and Development framework	5
Abstraction for non-ground answer set programs	5
Verification of agent navigation in partially-known environments	5
Axiomatic characterization of PageRank	5

Knowledge-based programs as succinct policies for partially observable domains	5
Fast optimal and bounded suboptimal Euclidean pathfinding	5
Crossover can guarantee exponential speed-ups in evolutionary multi-objective optimisation	5
Credibility Dynamics: A belief-revision-based trust model with pairwise comparisons	5
Language, common sense, and the Winograd schema challenge	5
Margin of victory for tournament solutions	5
An abstract, logical approach to characterizing strong equivalence in non-monotonic knowledge representation formalisms	5
Game description language and dynamic epistemic logic compared	5
Counterfactual explanations for misclassified images: How human and machine explanations differ	5
Treewidth-aware reductions of normal ASP to SAT – Is normal ASP harder than SAT after all?	5
Competence-aware systems	5
PredDiff: Explanations and interactions from conditional expectations	4
Understanding the power of Max-SAT resolution through UP-resilience	4
Bayesian agency: Linear versus tractable contracts	4
Better bounds on the adaptivity gap of influence maximization under full-adoption feedback	4
Hierarchical clustering optimizes the tradeoff between compositionality and expressivity of task structures for flexible reinforcement learning	4
Online learning of energy consumption for navigation of electric vehicles	4
Choice logics and their computational properties	4
Risk-averse policy optimization via risk-neutral policy optimization	4
The complexity landscape of decompositional parameters for ILP: Programs with few global variables and constraints	4
Predicting winner and estimating margin of victory in elections using sampling	4
Quantifying controllability in temporal networks with uncertainty	4
Inconsistency-tolerant query answering for existential rules	4
When security games hit traffic: A deployed optimal traffic enforcement system	4
On measuring inconsistency in definite and indefinite databases with denial constraints	4
Paracoherent answer set computation	4
Data-informed knowledge and strategies	4
Search-engine-augmented dialogue response generation with cheaply supervised query production	4
Portioning using ordinal preferences: Fairness and efficiency	4
Epistemic planning: Perspectives on the special issue	4
Privacy-preserving graph convolution network for federated item recommendation	4
A unifying look at sequence submodularity	4
Autoepistemic answer set programming	4
Recursive reasoning-based training-time adversarial machine learning	4
Risk bounded nonlinear robot motion planning with integrated perception & control	4
A kinematics principle for iterated revision	4
Approximation and hardness of Shift-Bribery	4
Memory-limited model-based diagnosis	4
Towards well-generalizing meta-learning via adversarial task augmentation	4
Reasoning about causality in games	4
A budget-limited mechanism for category-aware crowdsourcing of multiple-choice tasks	4
Accurate parameter estimation for safety-critical systems with unmodeled dynamics	4
Popularity-similarity random SAT formulas	4
An integrated approach to solving influence diagrams and finite-horizon partially observable decision processes	3
Epistemic GDL: A logic for representing and reasoning about imperfect information games	3
PeerNomination: A novel peer selection algorithm to handle strategic and noisy assessments	3
On the impact of the performance metric on efficient algorithm configuration	3
Certified reinforcement learning with logic guidance	3
Intrinsic approaches to prioritizing diagnoses in multi-context systems	3
Conjure: Automatic Generation of Constraint Models from Problem Specifications	3
Predicting voting outcomes in the presence of communities, echo chambers and multiple parties	3
Evolving interpretable decision trees for reinforcement learning	3
Chaos game representation for authorship attribution	3
Diagnosis of intermittent faults in Multi-Agent Systems: An SFL approach	3
Reasoning about general preference relations	3
Strategyproof Mechanism for Two-Sided Matching with Resource Allocation	3
Knowledge-based programs as building blocks for planning	3
Risk-aware shielding of Partially Observable Monte Carlo Planning policies	3
Acquiring and modeling abstract commonsense knowledge via conceptualization	3
Human performance consequences of normative and contrastive explanations: An experiment in machine learning for reliability maintenance	3
The complexity landscape of claim-augmented argumentation frameworks	3
Neural large neighborhood search for routing problems	3
Time-delayed collective flow diffusion models for inferring latent people flow from aggregated data at limited locations	3
Metamodeling and metaquerying in OWL2QL	3
SAT encodings for Pseudo-Boolean constraints together with at-most-one constraints	3
Epistemic uncertainty aware semantic localization and mapping for inference and belief space planning	3
Advanced algorithms for abstract dialectical frameworks based on complexity analysis of subclasses and SAT solving	3
The distortion of distributed facility location	3
Committing to correlated strategies with multiple leaders	3
Online perceptual learning and natural language acquisition for autonomous robots	3
Multi-modal graph contrastive encoding for neural machine translation	3
Abstraction in data-sparse task transfer	3
Deciding Koopman's qualitative probability	3
Logical separability of labeled data examples under ontologies	3
Transfer learning for collaborative recommendation with biased and unbiased data	3
Fast and accurate data-driven goal recognition using process mining techniques	3
Learning reward machines: A study in partially observable reinforcement learning	3
Simplified Risk-aware Decision Making with Belief-dependent Rewards in Partially Observable Domains	3
Risk verification of stochastic systems with neural network controllers	3
Learning constraints through partial queries	3
Dynamically improved bounds bidirectional search	3
Distributed optimization for degenerate loss functions arising from over-parameterization	3
Protecting elections by recounting ballots	3
Cooperative concurrent games	3
On existence of truthful fair cake cutting mechanisms	3
Regret minimization in online Bayesian persuasion: Handling adversarial receiver's types under full and partial feedback models	3
Are the BERT family zero-shot learners? A study on their potential and limitations	3
A general multi-agent epistemic planner based on higher-order belief change	3
Answering regular path queries mediated by unrestricted SQ ontologies	3
Combining experts' causal judgments	3
Sample-based bounds for coherent risk measures: Applications to policy synthesis and verification	3
ASP and subset minimality: Enumeration, cautious reasoning and MUSes	3
On fair price discrimination in multi-unit markets	3
Solving zero-sum one-sided partially observable stochastic games	3
DEED: DEep Evidential Doctor	2