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ORCIDThe Knowledge Engineering Review, Volume 36
Volume 36, 2021
- Nadine M. Neumann, Alexandre Plastino
, Jony A. Pinto Junior, Alex Alves Freitas:
Is p-value $<$ 0.05 enough? A study on the statistical evaluation of classifiers. e1 - Bikramjit Banerjee, Sneha Racharla:
Human-agent transfer from observations. e2 - Sondes Hattab, Wided Lejouad Chaari:
A generic model for representing openness in multi-agent systems. e3 - Arushi Jain, Khimya Khetarpal, Doina Precup:
Safe option-critic: learning safety in the option-critic architecture. e4
- Alexandros Vassiliades, Nick Bassiliades, Theodore Patkos:
Argumentation and explainable artificial intelligence: a survey. e5
- Sergio Valcarcel Macua, Ian Davies, Aleksi Tukiainen, Enrique Munoz de Cote:
Fully distributed actor-critic architecture for multitask deep reinforcement learning. e6
- Patrick Mannion, Anna Harutyunyan, Bei Peng, Kaushik Subramanian:
Special issue on adaptive and learning agents 2018. e7
- Raphael Melo, Kate Revoredo, Aline Paes:
Learning multiple concepts in description logic through three perspectives. e8 - Enrico Scala, Mauro Vallati:
Effective grounding for hybrid planning problems represented in PDDL+. e9
- Fu Zhang, Qingzhe Lu, Zhenjun Du, Xu Chen, Chunhong Cao:
A comprehensive overview of RDF for spatial and spatiotemporal data management. e10
- Eleni Tsalapati, James Tribe, Paul A. Goodall, Robert I. M. Young, Thomas W. Jackson, Andrew A. West:
Enhancing RFID system configuration through semantic modelling. e11
- Emmanuelle Grislin-Le Strugeon, Káthia Marçal de Oliveira, Dorsaf Zekri, Marie Thilliez:
Agent mining approaches: an ontological view. e12
- Ahmad Issa Alaa Aldine, Mounira Harzallah, Giuseppe Berio, Nicolas Béchet, Ahmad Faour:
A 3-phase approach based on sequential mining and dependency parsing for enhancing hypernym patterns performance. e13 - Tim Miller:
Contrastive explanation: a structural-model approach. e14
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