AAAI Spring Symposium: MAKE

Publications

2023

Maaike H. T. de Boer, Linda Oosterheert, Roos M. Bakker
Dynamic Ontology Matching Challenge. 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)
Maria Lymperaiou, Giorgos Stamou
The Contribution of Knowledge in Visiolinguistic Learning: A Survey on Tasks and Challenges. 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)
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)
Thomas Schmid
A Systematic and Efficient Approach to the Design of Modular Hybrid AI Systems. 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)
Maria Lymperaiou, Giorgos Filandrianos, Konstantinos Thomas, Giorgos Stamou
Counterfactual Edits for Generative Evaluation. 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)
Charuta Pande, Andreas Martin, Christoph Pimmer
Towards Hybrid Dialog Management Strategies for a Health Coach Chatbot. 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)
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)
Paulo Shakarian, Abhinav Koyyalamudi, Noel Ngu, Lakshmivihari Mareedu
An Independent Evaluation of ChatGPT on Mathematical Word Problems (MWP). 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)
Theodoti Stoikou, Maria Lymperaiou, Giorgos Stamou
Knowledge-Based Counterfactual Queries for Visual Question Answering. AAAI Spring Symposium: MAKE (2023)
Maria Lymperaiou, Konstantinos Thomas, Giorgos Stamou
Fine-Grained ImageNet Classification in the Wild. 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)
Alessandro Oltramari
Cognitive Neuro-Symbolic Reasoning Systems. 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)
Kexin Gu Baugh, Nuri Cingillioglu, Alessandra Russo
Neuro-symbolic Rule Learning in Real-world Classification Tasks. AAAI Spring Symposium: MAKE (2023)
Andreas Martin
Preface. AAAI Spring Symposium: MAKE (2023)
Christian Muck, Wilfrid Utz
A Recognition Service for Haptic Modelling in Scene2Model. 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)
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)
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)

volume 3433, 2023

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. AAAI Spring Symposium: MAKE 3433 (2023)

2022

volume 3121, 2022

Proceedings of the AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022), Stanford University, Palo Alto, California, USA, March 21-23, 2022. AAAI Spring Symposium: MAKE 3121 (2022)