| 2017 | A Comparison between Deep Q-Networks and Deep Symbolic Reinforcement Learning. Aimore R. R. Dutra, Artur S. d'Avila Garcez |
| 2017 | Category-based Inductive Learning in Shared NeMuS. Ana Carolina Melik Schramm, Edjard de Souza Mota, Jacob M. Howe, Artur S. d'Avila Garcez |
| 2017 | Classical Planning in Deep Latent Space: From Unlabeled Images to PDDL (and back). Masataro Asai, Alex Fukunaga |
| 2017 | Confidence Values and Compact Rule Extraction From Probabilistic Neural Networks. Simon Odense, Artur S. d'Avila Garcez |
| 2017 | Explaining Trained Neural Networks with Semantic Web Technologies: First Steps. Md. Kamruzzaman Sarker, Ning Xie, Derek Doran, Michael L. Raymer, Pascal Hitzler |
| 2017 | Inductive Learning in Shared Neural Multi-Spaces. Edjard de Souza Mota, Jacob M. Howe, Artur S. d'Avila Garcez |
| 2017 | Learning about Actions and Events in Shared NeMuS. Milena Rodrigues Tenorio, Edjard de Souza Mota, Jacob M. Howe, Artur S. d'Avila Garcez |
| 2017 | Learning with Knowledge Graphs. Volker Tresp, Yunpu Ma, Stephan Baier |
| 2017 | Proceedings of the Twelfth International Workshop on Neural-Symbolic Learning and Reasoning, NeSy 2017, London, UK, July 17-18, 2017. Tarek R. Besold, Artur S. d'Avila Garcez, Isaac Noble |
| 2017 | Propositional Rule Extraction from Neural Networks under Background Knowledge. Maryam Labaf, Pascal Hitzler, Anthony B. Evans |
| 2017 | Q-SATyrus: Mapping Neuro-symbolic Reasoning into an Adiabatic Quantum Computer. Priscila M. V. Lima |
| 2017 | Towards Grounding Conceptual Spaces in Neural Representations. Lucas Bechberger, Kai-Uwe Kühnberger |