Pascal Hitzler

2017
K. Hammar, Hitzler, P., Lawrynowicz, A., Krisnadhi, A., Nuzzolese, A., and Solanki, M., Advances in Ontology Design and Patterns, vol. 32. Amsterdam: IOS Press, 2017.
M. Cheatham, Vardeman, C., Karima, N., and Hitzler, P., Computational Environment: An ODP to Support Finding and Recreating Computational Analyses, in 8th Workshop on Ontology Design and Patterns - WOP2017, 2017.PDF icon wop2017-comp-env.pdf (1.05 MB)
A. A. Krisnadhi and Hitzler, P., A Core Pattern for Events, in Advances in Ontology Design and Patterns, Amsterdam: IOS Press, 2017.PDF icon 2016-wop-events.pdf (252.85 KB)
S. Md Kamruzzaman, 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)
T. R. Besold, Garcez, A. S. d'Avila, Bader, S., Bowman, H., Domingos, P., Hitzler, P., Kühnberger, K. - U., Lamb, L. C., Lowd, D., Lima, P. Machado Vi, de Penning, L., Pinkas, G., Poon, H., and Zaverucha, G., Neural-Symbolic Learning and Reasoning: A Survey and Interpretation. 2017.PDF icon 2017-nesy-survey(4).pdf (635.26 KB)
D. Carral, Hitzler, P., Lapp, H., and Rudolph, S., On the Ontological Modeling of Trees, in 8th Workshop on Ontology Design and Patterns - WOP2017, 2017.PDF icon wop2017-trees.pdf (495.86 KB)
C. Vardeman, Krisnadhi, A., Cheatham, M., Janowicz, K., Ferguson, H., Hitzler, P., and Buccellato, A., An Ontology Design Pattern and Its Use Case for Modeling Material Transformation, Semantic Web, vol. 8, no. 5, p. 731, 2017.
M. Labaf, Hitzler, P., and Evans, A. B., Propositional Rule Extraction from Neural Networks under Background Knowledge, 2017.PDF icon MastreThesis.pdf (587.2 KB)
M. Labaf, Propositional rule extraction from neural networks under background knowledge, in Twelfth International Workshop on Neural-Symbolic Learning and Reasoning, 2017.PDF icon main.pdf (270.11 KB)
N. Xie, Kamruzzaman, S. Md, 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)

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