OOIR: Observatory of International Research

Papers

(The median citation count of Knowledge Engineering Review is 1. 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
Argumentation and explainable artificial intelligence: a survey	67
Contrastive explanation: a structural-model approach	40
A survey on semantic question answering systems	13
Safe option-critic: learning safety in the option-critic architecture	8
A survey of evolutionary algorithms for supervised ensemble learning	6
Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots	6
An online scalarization multi-objective reinforcement learning algorithm: TOPSIS Q-learning	6
Evaluation metrics and dimensional reduction for binary classification algorithms: a case study on bankruptcy prediction	5
Adversarial agent-learning for cybersecurity: a comparison of algorithms	4
A generic model for representing openness in multi-agent systems	4
Enhancing RFID system configuration through semantic modelling	4
Using Pareto simulated annealing to address algorithmic bias in machine learning	4
Special issue on ontologies and standards for intelligent systems: editorial	3
Agent mining approaches: an ontological view	3
Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots – Corrigendum	3
A comprehensive overview of RDF for spatial and spatiotemporal data management	3
Effective grounding for hybrid planning problems represented in PDDL+	2
OWL ontology evolution: understanding and unifying the complex changes	2
Fully distributed actor-critic architecture for multitask deep reinforcement learning	2
Selecting and ranking leading cases in Brazilian Supreme Court decisions	1
An agent-based model of COVID-19 pandemic and its variants using fuzzy subsets and real data applied in an island environment	1
A scalable species-based genetic algorithm for reinforcement learning problems	1
A 3-phase approach based on sequential mining and dependency parsing for enhancing hypernym patterns performance	1
An analysis and review of robot magic shows	1