OOIR: Observatory of International Research

Papers

(The TQCC of Journal of Artificial Intelligence Research is 6. 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 2020-11-01 to 2024-11-01.)

Article	Citations
A Survey on the Explainability of Supervised Machine Learning	534
Confident Learning: Estimating Uncertainty in Dataset Labels	303
Mapping the landscape of Artificial Intelligence applications against COVID-19	283
Benchmark and Survey of Automated Machine Learning Frameworks	194
Explainable Deep Learning: A Field Guide for the Uninitiated	141
On the Tractability of SHAP Explanations	92
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges	79
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning	64
Towards Continual Reinforcement Learning: A Review and Perspectives	60
A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems	51
Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods	47
Game Plan: What AI can do for Football, and What Football can do for AI	46
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning	45
Classifier Chains: A Review and Perspectives	45
Efficient Large-Scale Multi-Drone Delivery using Transit Networks	44
Reviewing Autoencoders for Missing Data Imputation: Technical Trends, Applications and Outcomes	42
Multiobjective Tree-Structured Parzen Estimator	42
Survey and Evaluation of Causal Discovery Methods for Time Series	40
A Theoretical Perspective on Hyperdimensional Computing	38
The Application of Machine Learning Techniques for Predicting Match Results in Team Sport: A Review	38
Graph Kernels: A Survey	35
How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy	34
Ethics and Governance of Artificial Intelligence: Evidence from a Survey of Machine Learning Researchers	33
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems	32
Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks	32

Deep Reinforcement Learning: A State-of-the-Art Walkthrough	30
QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer	29
Can We Automate Scientific Reviewing?	29
Learning from Disagreement: A Survey	28
Superintelligence Cannot be Contained: Lessons from Computability Theory	28
HEBO: An Empirical Study of Assumptions in Bayesian Optimisation	27
Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML Fairness Approaches	25
Adaptive Stress Testing: Finding Likely Failure Events with Reinforcement Learning	23
Neural Natural Language Generation: A Survey on Multilinguality, Multimodality, Controllability and Learning	23
Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective	23
On Tackling Explanation Redundancy in Decision Trees	22
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey	22
To Regulate or Not: A Social Dynamics Analysis of an Idealised AI Race	21
A Survey of Methods for Automated Algorithm Configuration	20
Taking Principles Seriously: A Hybrid Approach to Value Alignment in Artificial Intelligence	20
Two-facility Location Games with Minimum Distance Requirement	18
Inductive Logic Programming At 30: A New Introduction	18
Contrasting the Spread of Misinformation in Online Social Networks	18
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: A Short Survey	18
Robust Control for Dynamical Systems with Non-Gaussian Noise via Formal Abstractions	17
The Societal Implications of Deep Reinforcement Learning	17
NLP Methods for Extraction of Symptoms from Unstructured Data for Use in Prognostic COVID-19 Analytic Models	16
Multi-Document Summarization with Determinantal Point Process Attention	15
Towards Green Automated Machine Learning: Status Quo and Future Directions	15
Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text	15
Get out of the BAG! Silos in AI Ethics Education: Unsupervised Topic Modeling Analysis of Global AI Curricula	14
Automated Dynamic Algorithm Configuration	14
An Evaluation of Communication Protocol Languages for Engineering Multiagent Systems	13
A Survey of Opponent Modeling in Adversarial Domains	13
Conceptual Modeling of Explainable Recommender Systems: An Ontological Formalization to Guide Their Design and Development	12
Induction and Exploitation of Subgoal Automata for Reinforcement Learning	12
Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities	12
On Quantifying Literals in Boolean Logic and its Applications to Explainable AI	12
Multi-Label Classification Neural Networks with Hard Logical Constraints	12
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems	11
Liquid Democracy: An Algorithmic Perspective	11
Visually Grounded Models of Spoken Language: A Survey of Datasets, Architectures and Evaluation Techniques	11
Impact of Imputation Strategies on Fairness in Machine Learning	11
Agent-Based Modeling for Predicting Pedestrian Trajectories Around an Autonomous Vehicle	11
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models	11
Quantum Mathematics in Artificial Intelligence	11
Adapting Behavior via Intrinsic Reward: A Survey and Empirical Study	11
Core Challenges in Embodied Vision-Language Planning	11
Learning Optimal Decision Sets and Lists with SAT	10
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge	10
Welfare Guarantees in Schelling Segregation	10
Task-Aware Verifiable RNN-Based Policies for Partially Observable Markov Decision Processes	10
Fairness in Influence Maximization through Randomization	10
Contrastive Explanations of Plans through Model Restrictions	10
MADRaS : Multi Agent Driving Simulator	9

Constrained Multiagent Markov Decision Processes: a Taxonomy of Problems and Algorithms	9
Synthesis and Properties of Optimally Value-Aligned Normative Systems	9
The Computational Complexity of ReLU Network Training Parameterized by Data Dimensionality	9
Integrated Offline and Online Decision Making under Uncertainty	9
A Comprehensive Survey on Deep Graph Representation Learning Methods	9
Objective Bayesian Nets for Integrating Consistent Datasets	8
Better Decision Heuristics in CDCL through Local Search and Target Phases	8
Lilotane: A Lifted SAT-based Approach to Hierarchical Planning	8
Experimental Comparison and Survey of Twelve Time Series Anomaly Detection Algorithms	8
Bribery and Control in Stable Marriage	8
Actor Prioritized Experience Replay	8
Zone pAth Construction (ZAC) based Approaches for Effective Real-Time Ridesharing	7
A Logic-Based Explanation Generation Framework for Classical and Hybrid Planning Problems	7
CASA: Conversational Aspect Sentiment Analysis for Dialogue Understanding	7
Agent-Based Markov Modeling for Improved COVID-19 Mitigation Policies	7
Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges	7
Loss Functions, Axioms, and Peer Review	7
Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization	7
Approximating Perfect Recall when Model Checking Strategic Abilities: Theory and Applications	7
Efficient Local Search based on Dynamic Connectivity Maintenance for Minimum Connected Dominating Set	7
Viewpoint: AI as Author – Bridging the Gap Between Machine Learning and Literary Theory	7
Adaptive Greedy versus Non-adaptive Greedy for Influence Maximization	7
A Few Queries Go a Long Way: Information-Distortion Tradeoffs in Matching	7
Interpretable Local Concept-based Explanation with Human Feedback to Predict All-cause Mortality	6
Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel	6
Constraint Solving Approaches to the Business-to-Business Meeting Scheduling Problem	6
Fine-grained Prediction of Political Leaning on Social Media with Unsupervised Deep Learning	6
sEMG-Based Upper Limb Movement Classifier: Current Scenario and Upcoming Challenges	6
Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework	6
Weighted First-Order Model Counting in the Two-Variable Fragment With Counting Quantifiers	6
A Markov Framework for Learning and Reasoning About Strategies in Professional Soccer	6
An External Knowledge Enhanced Graph-based Neural Network for Sentence Ordering	6
Optimizing for Interpretability in Deep Neural Networks with Tree Regularization	6
The Computational Complexity of Understanding Binary Classifier Decisions	6
Modular Structures and Atomic Decomposition in Ontologies	6
Your Prompt is My Command: On Assessing the Human-Centred Generality of Multimodal Models	6
Intelligence in Strategic Games	6