Publications

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Report
A. Dalal, Sarker, M. K., Barua, A., and Hitzler, P., “Explaining Deep Learning Hidden Neuron Activations using Concept Induction”, 2023.PDF icon Explaining_Deep_Learning_Hidden_Neuron_Activations_using_Concept_Induction (2).pdf (7.89 MB)
Posters
I. Juvina, Aue, W. R., Minnery, B., Hitzler, P., Nadella, S., and Sarker, M. K., “Counterfactual reasoning over large-scale human performance optimization experiments”, Virtual poster presented at the annual meeting of the Psychonomic Society, November 2020. 2020.
Patent
G. T. Amariucai, Hitzler, P., Jana, A., Ebrahimi, M., and Sarker, M. K., “Secure Architecture for Biometric Authentication”, 2023.
Miscellaneous
M. K. Sarker, Krisnadhi, A., Carral, D., and Hitzler, P., “Rule-based OWL Modeling with ROWLTab Protege Plugin”. 2017.PDF icon main.pdf (423.27 KB)
Journal Article
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)
M. Ebrahimi, Sarker, M. K., Bianchi, F., Xie, N., Doran, D., and Hitzler, P., “Reasoning over RDF Knowledge Bases using Deep Learning”, arXiv preprint arXiv:1811.04132, 2018.
M. K. Sarker, Zhou, L., Eberhart, A., and Hitzler, P., “Neuro-Symbolic Artificial Intelligence: Current Trends”, AI Communications, vol. 34, no. 3, 2022.PDF icon 2021_AIC_NeSy.pdf (149.19 KB)
P. Hitzler, Eberhart, A., Ebrahimi, M., Sarker, M. K., and Zhou, L., “Neuro-symbolic approaches in artificial intelligence”, National Science Review, vol. 9, no. 6, 2022.
P. Hitzler, Ebrahimi, M., Sarker, M. K., and Stepanova, D., “Neuro-Symbolic AI and the Semantic Web”, Semantic Web Journal, In Press.PDF icon 2024-SWJ-NeSy-SI.pdf (81.48 KB)
P. Hitzler, Bianchi, F., Ebrahimi, M., and Sarker, M. K., “Neural-Symbolic Integration and the Semantic Web”, Semantic Web, vol. 11, no. 1, 2020.
A. Jana, Paudel, B., Sarker, M. K., Ebrahimi, M., Hitzler, P., and Amariucai, G. T., “Neural Fuzzy Extractors: A Secure Way to Use Artificial Neural Networks for Biometric User Authentication”, Proceedings of Privacy Enhancing Technologies , vol. 2022 (4), pp. 86-104, 2022.PDF icon 2020-arxiv-nfes.pdf (408.14 KB)
Conference Proceedings
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)
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)
Conference Papers
M. K. Sarker, Schwartz, J., Hitzler, P., Zhou, L., Nadella, S., Minnery, B., Juvina, I., Raymer, M. L., and Aue, W. R., “Wikipedia Knowledge Graph for Explainable AI”, in Second Iberoamerican Knowledge Graphs and Semantic Web Conference (KGSWC), 2020.PDF icon 2020_Wiki_KG_kgswc_conference.pdf (1.02 MB)
M. K. Sarker, Krisnadhi, A., and Hitzler, P., “OWLAx: A Protege Plugin to Support Ontology Axiomatization through Diagramming”, Kobe, Japan, 2016.PDF icon OWLAx.pdf (609.13 KB)

Pages