| Logic Tensor Networks | 0 | 0.34 | 2022 |
| Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective | 1 | 0.34 | 2020 |
| Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases. | 0 | 0.34 | 2020 |
| Probabilistic approaches for music similarity using restricted Boltzmann machines | 0 | 0.34 | 2020 |
| Sequence Classification Restricted Boltzmann Machines With Gated Units | 0 | 0.34 | 2020 |
| Neuro-Symbolic Probabilistic Argumentation Machines. | 0 | 0.34 | 2020 |
| Efficient predicate invention using shared "NeMuS". | 0 | 0.34 | 2019 |
| Editorial: Booming of Neural Networks and Learning Systems. | 0 | 0.34 | 2019 |
| Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning. | 1 | 0.35 | 2019 |
| Towards Symbolic Reinforcement Learning with Common Sense. | 0 | 0.34 | 2018 |
| Continual Learning Augmented Investment Decisions. | 0 | 0.34 | 2018 |
| Speaker recognition with hybrid features from a deep belief network. | 8 | 0.62 | 2018 |
| Deep Logic Networks: Inserting and Extracting Knowledge From Deep Belief Networks. | 4 | 0.38 | 2018 |
| Human-Like Neural-Symbolic Computing (Dagstuhl Seminar 17192). | 0 | 0.34 | 2017 |
| Learning and reasoning in logic tensor networks: theory and application to semantic image interpretation. | 4 | 0.42 | 2017 |
| Confidence Values and Compact Rule Extraction From Probabilistic Neural Networks. | 0 | 0.34 | 2017 |
| Logic Tensor Networks for Semantic Image Interpretation. | 4 | 0.40 | 2017 |
| Reasoning in Non-Probabilistic Uncertainty: Logic Programming and Neural-Symbolic Computing as Examples. | 1 | 0.35 | 2017 |
| The Recurrent Temporal Discriminative Restricted Boltzmann Machines. | 0 | 0.34 | 2017 |
| Inductive Learning in Shared Neural Multi-Spaces. | 0 | 0.34 | 2017 |
| Learning about Actions and Events in Shared NeMuS. | 0 | 0.34 | 2017 |
| Neural-Symbolic Learning and Reasoning: A Survey and Interpretation. | 4 | 0.43 | 2017 |
| A Comparison between Deep Q-Networks and Deep Symbolic Reinforcement Learning. | 0 | 0.34 | 2017 |
| Category-based Inductive Learning in Shared NeMuS. | 0 | 0.34 | 2017 |
| Generalising the Discriminative Restricted Boltzmann Machine. | 2 | 0.38 | 2017 |
| Fat-Fast VG-RAM WNN: A high performance approach. | 0 | 0.34 | 2016 |
| The Need for Knowledge Extraction: Understanding Harmful Gambling Behavior with Neural Networks. | 0 | 0.34 | 2016 |
| Logic Tensor Networks: Deep Learning and Logical Reasoning from Data and Knowledge. | 8 | 0.51 | 2016 |
| Relational Knowledge Extraction from Neural Networks. | 2 | 0.38 | 2015 |
| Neural-Symbolic Monitoring And Adaptation | 0 | 0.34 | 2015 |
| Discriminative Learning And Inference In The Recurrent Temporal Rbm For Melody Modelling | 2 | 0.42 | 2015 |
| Hybrid Long- and Short-Term Models of Folk Melodies. | 0 | 0.34 | 2015 |
| Neural-Symbolic Learning and Reasoning: Contributions and Challenges | 18 | 0.81 | 2015 |
| Modelling clinical diagnostic errors: a system dynamics approach. | 0 | 0.34 | 2015 |
| A Hybrid Recurrent Neural Network For Music Transcription | 10 | 0.61 | 2015 |
| Efficient Representation Ranking For Transfer Learning | 0 | 0.34 | 2015 |
| Neural Relational Learning Through Semi-Propositionalization of Bottom Clauses | 0 | 0.34 | 2015 |
| Anchoring Knowledge in Interaction: Towards a harmonic subsymbolic/symbolic framework and architecture of computational cognition | 1 | 0.40 | 2015 |
| A system dynamics approach to analyze laboratory test errors. | 0 | 0.34 | 2015 |
| A causal loop approach to the study of diagnostic errors. | 1 | 0.63 | 2014 |
| Neural-Symbolic Learning and Reasoning (Dagstuhl Seminar 14381). | 1 | 0.37 | 2014 |
| Applying Neural-Symbolic Cognitive Agents In Intelligent Transport Systems To Reduce Co2 Emissions | 0 | 0.34 | 2014 |
| Fast relational learning using bottom clause propositionalization with artificial neural networks | 19 | 0.82 | 2014 |
| A neural cognitive model of argumentation with application to legal inference and decision making. | 5 | 0.46 | 2014 |
| Multiple Viewpiont Melodic Prediction with Fixed-Context Neural Networks. | 0 | 0.34 | 2014 |
| An RNN-based Music Language Model for Improving Automatic Music Transcription. | 5 | 0.60 | 2014 |
| Feature Preprocessing with Restricted Boltzmann Machines for Music Similarity Learning | 0 | 0.34 | 2014 |
| Scalable Process Monitoring through Rules and Neural Networks. | 0 | 0.34 | 2014 |
| Neural-symbolic cognitive agents: architecture, theory and application | 1 | 0.37 | 2014 |
| A Distributed Model For Multiple-Viewpoint Melodic Prediction. | 4 | 0.46 | 2013 |
