|
779-1770 |
Student Performance Prediction Model Based on Course Description and Student Similarity |
Reject |
Guest Editors Neuro-Symbolic AI and Conceptual Modeling 2024 |
|
777-1768 |
Artificial Intelligence and Internet of Things: A Neuro-Symbolic Approach for Automated Platform Configuration |
Minor Revision |
Guest Editors Neuro-Symbolic AI and Conceptual Modeling 2024 |
|
776-1767 |
Student Performance Prediction Model Based on Course Description and Student Similarity |
Reject (Pre-Screening) |
Guest Editors Neuro-Symbolic AI and Conceptual Modeling 2024 |
|
775-1766 |
Neuro-Symbolic Reasoning in the Traffic Domain |
Accept |
Eleonora Giunchiglia |
|
774-1765 |
Benchmarking Neuro-Symbolic Description Logic Reasoners: Existing Challenges and A Way Forward |
Accept |
Francesca Rossi |
|
771-1761 |
Leveraging LLMs for Collaborative Ontology Engineering in Parkinson Disease Monitoring and alerting |
Reject (Pre-Screening) |
Pascal Hitzler |
|
770-1760 |
Texture Analysis-based Makeup Removal for Imposture Identification in Individual Biometric Validation |
Reject (Pre-Screening) |
|
|
768-1757 |
Knowledge graph extraction in a practical context |
Reject |
Guest Editors Knowledge Graphs and Neurosymbolic AI 2024 |
|
767-1756 |
Machine Learning with Requirements: A Manifesto |
Accept |
Annette ten Teije |
|
763-1752 |
On the relevance of logic for AI: misunderstandings in social media, and the promise of neuro-symbolic learning |
Major Revision |
Frank van Harmelen |
|
760-1749 |
LitKGE: Improving numeric LITerals based Knowledge Graph Embedding models |
Major Revision |
Guest Editors Knowledge Graphs and Neurosymbolic AI 2024 |
|
754-1743 |
On the Multiple Roles of Ontologies in Explanations for Neuro-symbolic Artificial Intelligence |
Accept |
Alessandra Mileo |
|
753-1741 |
Coupling Machine Learning with Ontology for Robotics Applications |
Reject (Pre-Screening) |
|
|
748-1735 |
A General Neural-symbolic Architecture for Knowledge-intensive Complex Question Answering |
Major Revision |
Claudia d'Amato |
|
743-1729 |
From Neural Activations to Concepts: A Survey on Explaining Concepts in Neural Networks |
Accept |
Filip Ilievski |
|
740-1725 |
Towards a Neuro-Symbolic Cycle for Human-centered Explainability |
Accept |
Benedikt Wagner |
|
737-1721 |
Knowledge Engineering in the Age of Neurosymbolic Systems |
Accept |
Dagmar Gromann |
|
736-1720 |
Semi-Automated Synthesis of Driving Rules |
Major Revision |
Eleonora Giunchiglia |
|
734-1718 |
Graph-ic Improvements: Adding Explicit Syntactic Graphs to Neural Machine Translation |
Minor Revision |
Luis Lamb |
|
732-1716 |
On the Potential of Logic and Reasoning in Neurosymbolic Systems using OWL-based Knowledge Graphs |
Accept |
Roberto Confalonieri |
|
731-1714 |
Towards Semantically Enriched Embeddings for Knowledge Graph Completion |
Accept |
Ernesto Jimenez-Ruiz |
|
730-1713 |
Neuro-Symbolic Reasoning in the Traffic Domain |
Accept |
Eleonora Giunchiglia |
|
729-1712 |
A Neurosymbolic Approach to AI Alignment |
Accept |
Luc De Raedt |
|
728-1711 |
A General Neural-symbolic Architecture for Knowledge-intensive Complex Reasoning |
Minor Revision |
Claudia d'Amato |
|
726-1708 |
Neuro-Symbolic methods for Trustworthy AI: a systematic review |
Major Revision |
Guest Editors Trustworthy Neurosymbolic AI 2024 |
|
720-1701 |
Dual-Process Theories, Cognitive Architectures, and Hybrid Neural-Symbolic Models |
Accept |
Alessandro Oltramari |
|
719-1699 |
A Survey of Neurosymbolic Visual Reasoning with Scene Graphs and Common Sense Knowledge |
Accept |
Md Kamruzzaman Sarker |
|
718-1698 |
PSYCHIC: A Neuro-Symbolic Framework for Knowledge Graph Question-Answering Grounding |
Reject |
Marta Sabou |
|
713-1693 |
Factorizers for Distributed Sparse Block Codes |
Accept |
Qingxing Cao |
