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publications
Neuro-symbolic Rule Learning in Real-world Classification Tasks
Published in AAAI 2023 Spring Symposium on Challenges Requiring the Combination of Machine Learning and Knowledge Engineering (AAAI-MAKE 2023), 2023
Neuro-symbolic rule learning with neural DNF-based models in real-world multi-class and multi-label classification tasks.
Recommended citation: K. G. Baugh, N. Cingillioglu, and A. Russo, “Neuro-symbolic Rule Learning in Real-world Classification Tasks,” in Proceedings of the AAAI 2023 Spring Symposium on Challenges Requiring the Combination of Machine Learning and Knowledge Engineering (AAAI-MAKE 2023), A. Martin, H.-G. Fill, A. Gerber, K. Hinkelmann, D. Lenat, R. Stolle, and F. van Harmelen, Eds., CEUR Workshop Proceedings, 2023. https://ceur-ws.org/Vol-3433/paper12.pdf
talks
teaching
Logic
Undergraduate course, Imperial College London, Department of Computing, 2021
Graduate teaching assistant for Computing first year course Logic, running from autumn term to spring term.
Introduction to Prolog
Undergraduate course, Imperial College London, Department of Computing, 2022
Graduate teaching assistant for Computing second year course Introduction to Prolog, running in spring term.
Introduction to Prolog
Undergraduate course, Imperial College London, Department of Computing, 2023
Graduate teaching assistant for Computing second year course Introduction to Prolog, running in spring term.
Data Structures and Algorithms
Master course, Imperial College Business School, 2023
Graduate teaching assistant for Imperial College Business School’s module Data Structures and Algorithms for MSc students, running from September to October 2023.