|
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 |
|
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 |
|
678-1658 |
A General Neural-symbolic Architecture for Knowledge-oriented Complex Reasoning |
Major Revision |
Claudia d'Amato |
|
676-1656 |
Neuro-Symbolic Reasoning in the Traffic Domain |
Major Revision |
Eleonora Giunchiglia |
|
675-1655 |
The Blessing of Dimensionality: Perspectives of Reasoning and Learning with Hyper-Dimensional Vector-Symbolic Representations |
Accept |
Luis Lamb |
