785-1776 |
Metal Price Spike Prediction via a Neurosymbolic Ensemble Approach |
Reject (Pre-Screening) |
|
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 |
771-1761 |
Leveraging LLMs for Collaborative Ontology Engineering in Parkinson Disease Monitoring and alerting |
Reject (Pre-Screening) |
|
770-1760 |
Texture Analysis-based Makeup Removal for Imposture Identification in Individual Biometric Validation |
Reject (Pre-Screening) |
|
767-1756 |
Machine Learning with Requirements: A Manifesto |
Accept |
Annette ten Teije |
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) |
|
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 |
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 |
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 |
712-1692 |
Neuro-Symbolic Predicate Invention: Learning Relational Concepts from Visual Scenes |
Accept |
Alessandra Russo |
697-1677 |
From Neural Activations to Concepts: A Survey on Explaining Concepts in Neural Networks |
Accept |
Filip Ilievski |
696-1676 |
Butterfly Optimization Algorithm for Model Order Reduction of Linear Section of an Air Core Electrical Transformer |
Reject (Pre-Screening) |
|
695-1675 |
Benchmarking Neuro-Symbolic Reasoners: Existing Challenges and A Way Forward |
Major Revision |
Francesca Rossi |
694-1674 |
What can knowledge graph alignment gain with Neuro-Symbolic learning approaches? |
Major Revision |
Janna Hastings |
691-1671 |
Towards a Neuro-Symbolic Cycle for Human-centered Explainability |
Minor Revision |
Benedikt Wagner |
689-1669 |
A Survey of Neurosymbolic Visual Reasoning with Scene Graphs and Common Sense Knowledge |
Major Revision |
Md Kamruzzaman Sarker |
688-1668 |
A Neurosymbolic Approach to AI Alignment |
Major Revision |
Luc De Raedt |
684-1664 |
Knowledge Engineering in the Age of Neurosymbolic Systems |
Major Revision |
Dagmar Gromann |
683-1663 |
On the Multiple Roles of Ontologies in Explainable AI |
Minor Revision |
Alessandra Mileo |