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ORCIDAAAI Spring Symposium 2023 - Machine Learning and Knowledge Engineering: San Francisco Airport, CA, USA
- Andreas Martin, Hans-Georg Fill, Aurona Gerber, Knut Hinkelmann, Doug Lenat, Reinhard Stolle, Frank van Harmelen:
Proceedings of the AAAI 2023 Spring Symposium on Challenges Requiring the Combination of Machine Learning and Knowledge Engineering (AAAI-MAKE 2023), Hyatt Regency, San Francisco Airport, California, USA, March 27-29, 2023. CEUR Workshop Proceedings 3433, CEUR-WS.org 2023 - Andreas Martin:
Preface.
Regular Papers
- Thomas Schmid:
A Systematic and Efficient Approach to the Design of Modular Hybrid AI Systems. - Asara Senaratne
, Leelanga Seneviratne:
Embedded to Interpretive: A Paradigm Shift in Knowledge Discovery to Represent Dynamic Knowledge. - Sergei Nirenburg, Nikhil Krishnaswamy, Marjorie McShane:
Hybrid Machine Learning/Knowledge Base Systems Learning through Natural Language Dialogue with Deep Learning Models. - Yue Cao, C. S. George Lee:
Robot Behavior-Tree-Based Task Generation with Large Language Models. - Yuta Tsuchiya, Yasuhide Mori, Masashi Egi:
Explainable Reinforcement Learning Based on Q-Value Decomposition by Expected State Transitions. - Garima Agrawal, Kuntal Pal, Yuli Deng, Huan Liu, Chitta Baral:
AISecKG: Knowledge Graph Dataset for Cybersecurity Education. - Hans Friedrich Witschel, Emanuele Laurenzi, Stephan Jüngling, Y. Kadvany, A. Trojan:
An Early Warning System that combines Machine Learning and a Rule-Based Approach for the Prediction of Cancer Patients' Unplanned Visits. - Paulo Shakarian, Abhinav Koyyalamudi, Noel Ngu, Lakshmivihari Mareedu:
An Independent Evaluation of ChatGPT on Mathematical Word Problems (MWP). - Maaike H. T. de Boer, Linda Oosterheert, Roos M. Bakker:
Dynamic Ontology Matching Challenge. - Simon Eichele, Knut Hinkelmann, Maja Spahic-Bogdanovic:
Ontology-Driven Enhancement of Process Mining With Domain Knowledge. - Charuta Pande, Andreas Martin, Christoph Pimmer:
Towards Hybrid Dialog Management Strategies for a Health Coach Chatbot. - Kexin Gu Baugh, Nuri Cingillioglu, Alessandra Russo:
Neuro-symbolic Rule Learning in Real-world Classification Tasks. - Asara Senaratne, Peter Christen, Graham J. Williams, Pouya Ghiasnezhad Omran:
Rule-Based Knowledge Discovery via Anomaly Detection in Tabular Data. - Robert Andrei Buchmann, Maira Ussenbayeva, Wilfrid Utz, Dimitris Karagiannis:
Leveraging RDF Graphs, Similarity Metrics and Network Analysis for Business Process Management. - Dietrich Rordorf, Josua Käser, Alfredo Crego, Emanuele Laurenzi:
A Hybrid Intelligent Approach Combining Machine Learning and a Knowledge Graph to Support Academic Journal Publishers Addressing the Reviewer Assignment Problem (RAP). - Carsten Maletzki, Lisa Grumbach, Eric Rietzke, Ralph Bergmann:
Towards Hybrid Intelligent Support Systems for Emergency Call Handling. - Dyuman Aditya, Kaustuv Mukherji, Srikar Balasubramanian, Abhiraj Chaudhary, Paulo Shakarian:
PyReason: Software for Open World Temporal Logic. - Maria Lymperaiou, Giorgos Stamou:
The Contribution of Knowledge in Visiolinguistic Learning: A Survey on Tasks and Challenges. - Maria Lymperaiou, Giorgos Filandrianos, Konstantinos Thomas, Giorgos Stamou:
Counterfactual Edits for Generative Evaluation. - Theodoti Stoikou, Maria Lymperaiou, Giorgos Stamou:
Knowledge-Based Counterfactual Queries for Visual Question Answering. - Maria Lymperaiou, Konstantinos Thomas, Giorgos Stamou:
Fine-Grained ImageNet Classification in the Wild.
Short Papers
- Aritran Piplai, Anupam Joshi, Tim Finin:
Offline RL+CKG: A hybrid AI model for cybersecurity tasks. - Maaike H. T. de Boer, Roos M. Bakker, Maaike Burghoorn:
Creating Dynamically Evolving Ontologies: A Use Case from the Labour Market Domain. - Alessandro Oltramari:
Cognitive Neuro-Symbolic Reasoning Systems. - Christian Muck, Wilfrid Utz:
A Recognition Service for Haptic Modelling in Scene2Model.
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