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Publication search results
found 27 matches
- 2023
- Andreas Martin:
Preface. AAAI Spring Symposium: MAKE 2023 - Yue Cao, C. S. George Lee:
Robot Behavior-Tree-Based Task Generation with Large Language Models. AAAI Spring Symposium: MAKE 2023 - Dyuman Aditya, Kaustuv Mukherji, Srikar Balasubramanian, Abhiraj Chaudhary, Paulo Shakarian:
PyReason: Software for Open World Temporal Logic. AAAI Spring Symposium: MAKE 2023 - Garima Agrawal, Kuntal Pal, Yuli Deng, Huan Liu, Chitta Baral:
AISecKG: Knowledge Graph Dataset for Cybersecurity Education. AAAI Spring Symposium: MAKE 2023 - Kexin Gu Baugh, Nuri Cingillioglu, Alessandra Russo:
Neuro-symbolic Rule Learning in Real-world Classification Tasks. AAAI Spring Symposium: MAKE 2023 - Maaike H. T. de Boer, Roos M. Bakker, Maaike Burghoorn:
Creating Dynamically Evolving Ontologies: A Use Case from the Labour Market Domain. AAAI Spring Symposium: MAKE 2023 - Maaike H. T. de Boer, Linda Oosterheert, Roos M. Bakker:
Dynamic Ontology Matching Challenge. AAAI Spring Symposium: MAKE 2023 - Robert Andrei Buchmann, Maira Ussenbayeva, Wilfrid Utz, Dimitris Karagiannis:
Leveraging RDF Graphs, Similarity Metrics and Network Analysis for Business Process Management. AAAI Spring Symposium: MAKE 2023 - Simon Eichele, Knut Hinkelmann, Maja Spahic-Bogdanovic:
Ontology-Driven Enhancement of Process Mining With Domain Knowledge. AAAI Spring Symposium: MAKE 2023 - Maria Lymperaiou, Giorgos Filandrianos, Konstantinos Thomas, Giorgos Stamou:
Counterfactual Edits for Generative Evaluation. AAAI Spring Symposium: MAKE 2023 - Maria Lymperaiou, Giorgos Stamou:
The Contribution of Knowledge in Visiolinguistic Learning: A Survey on Tasks and Challenges. AAAI Spring Symposium: MAKE 2023 - Maria Lymperaiou, Konstantinos Thomas, Giorgos Stamou:
Fine-Grained ImageNet Classification in the Wild. AAAI Spring Symposium: MAKE 2023 - Carsten Maletzki, Lisa Grumbach, Eric Rietzke, Ralph Bergmann:
Towards Hybrid Intelligent Support Systems for Emergency Call Handling. AAAI Spring Symposium: MAKE 2023 - Christian Muck, Wilfrid Utz:
A Recognition Service for Haptic Modelling in Scene2Model. AAAI Spring Symposium: MAKE 2023 - Sergei Nirenburg, Nikhil Krishnaswamy, Marjorie McShane:
Hybrid Machine Learning/Knowledge Base Systems Learning through Natural Language Dialogue with Deep Learning Models. AAAI Spring Symposium: MAKE 2023 - Alessandro Oltramari:
Cognitive Neuro-Symbolic Reasoning Systems. AAAI Spring Symposium: MAKE 2023 - Charuta Pande, Andreas Martin, Christoph Pimmer:
Towards Hybrid Dialog Management Strategies for a Health Coach Chatbot. AAAI Spring Symposium: MAKE 2023 - Aritran Piplai, Anupam Joshi, Tim Finin:
Offline RL+CKG: A hybrid AI model for cybersecurity tasks. AAAI Spring Symposium: MAKE 2023 - 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). AAAI Spring Symposium: MAKE 2023 - Thomas Schmid:
A Systematic and Efficient Approach to the Design of Modular Hybrid AI Systems. AAAI Spring Symposium: MAKE 2023 - Asara Senaratne, Peter Christen, Graham J. Williams, Pouya Ghiasnezhad Omran:
Rule-Based Knowledge Discovery via Anomaly Detection in Tabular Data. AAAI Spring Symposium: MAKE 2023 - Asara Senaratne, Leelanga Seneviratne:
Embedded to Interpretive: A Paradigm Shift in Knowledge Discovery to Represent Dynamic Knowledge. AAAI Spring Symposium: MAKE 2023 - Paulo Shakarian, Abhinav Koyyalamudi, Noel Ngu, Lakshmivihari Mareedu:
An Independent Evaluation of ChatGPT on Mathematical Word Problems (MWP). AAAI Spring Symposium: MAKE 2023 - Theodoti Stoikou, Maria Lymperaiou, Giorgos Stamou:
Knowledge-Based Counterfactual Queries for Visual Question Answering. AAAI Spring Symposium: MAKE 2023 - Yuta Tsuchiya, Yasuhide Mori, Masashi Egi:
Explainable Reinforcement Learning Based on Q-Value Decomposition by Expected State Transitions. AAAI Spring Symposium: MAKE 2023 - 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. AAAI Spring Symposium: MAKE 2023 - 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 [contents]
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