Publications

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Filters: Author is Michael Raymer  [Clear All Filters]
2023
C. Widmer, Sarker, M. K., Nadella, S., Fiechter, J., Juvina, I., Minnery, B., Hitzler, P., Schwartz, J., and Raymer, M., “Towards Human-Compatible XAI: Explaining Data Differentials with Concept Induction over Background Knowledge”, Journal of Web Semantics, vol. 79:100807, 2023.PDF icon Towards_human_compatible_XAI.pdf (1.06 MB)
2020
Z. A. Daniels, Frank, L. D., Menart, C. J., Raymer, M., and Hitzler, P., “A Framework for Explainable Deep Neural Models Using External Knowledge Graphs”, in Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications, SPIE, 2020.
2017
M. K. Sarker, Xie, N., Doran, D., Raymer, M., and Hitzler, P., “Explaining Trained Neural Networks with Semantic Web Technologies: First Steps”, Twelveth International Workshop on Neural-Symbolic Learning and Reasoning, NeSy. London, UK, 2017.PDF icon 2017-nesy-xai.pdf (2.09 MB)
N. Xie, Sarker, M. K., Doran, D., Hitzler, P., and Raymer, M., “Relating Input Concepts to Convolutional Neural Network Decisions”, NIPS 2017 Workshop: Interpreting, Explaining and Visualizing Deep Learning, NIPS IEVDL 2017. NIPS, CA, USA, 2017.PDF icon Relating Input Concepts to Convolutional Neural Network Decisions.pdf (2.35 MB)