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ORCIDThe Knowledge Engineering Review, Volume 37
Volume 37, 2022
- María E. Pérez-Pons
, Javier Parra-Domínguez, Guillermo Hernández, Enrique Herrera-Viedma, Juan M. Corchado:
Evaluation metrics and dimensional reduction for binary classification algorithms: a case study on bankruptcy prediction. e1
- Christina Antoniou, Nick Bassiliades:
A survey on semantic question answering systems. e2
- Giorgia Nadizar, Eric Medvet, Ola Huse Ramstad, Stefano Nichele, Felice Andrea Pellegrino, Marco Zullich:
Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots. e3
- Giorgia Nadizar, Eric Medvet, Ola Huse Ramstad, Stefano Nichele, Felice Andrea Pellegrino, Marco Zullich:
Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots - Corrigendum. e4
- William Blanzeisky, Pádraig Cunningham:
Using Pareto simulated annealing to address algorithmic bias in machine learning. e5
- Joanna Isabelle Olszewska, Julita Bermejo-Alonso, Ricardo Sanz:
Special issue on ontologies and standards for intelligent systems: editorial. e6
- Mohammad Mirzanejad, Morteza Ebrahimi, Peter Vamplew, Hadi Veisi:
An online scalarization multi-objective reinforcement learning algorithm: TOPSIS Q-learning. e7 - Zhiguo Long, Hua Meng, Tianrui Li, Heng-Chao Li, Michael Sioutis:
A framework for belief revision under restrictions. e8 - Anirudh Seth, Alexandros Nikou, Marios Daoutis:
A scalable species-based genetic algorithm for reinforcement learning problems. e9 - Viviane Torres da Silva, Jéssica Soares dos Santos, Raphael Thiago, Elton F. S. Soares, Leonardo Guerreiro Azevedo:
OWL ontology evolution: understanding and unifying the complex changes. e10
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