P.  Hitzler, Ebrahimi, M., Sarker, M. K., and Stepanova, D., ?Neuro-Symbolic AI and the Semantic Web?, Semantic Web, 2024.

A.  Dalal, Sarker, M. K., Barua, A., and Hitzler, P., ?Explaining Deep Learning Hidden Neuron Activations using Concept Induction?, 2023.

G. T.  Amariucai, Hitzler, P., Jana, A., Ebrahimi, M., and Sarker, M. K., ?Secure Architecture for Biometric Authentication?, 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.

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.

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.

M. K.  Sarker, Zhou, L., Eberhart, A., and Hitzler, P., ?Neuro-Symbolic Artificial Intelligence: Current Trends?, AI Communications, vol. 34, no. 3, 2022.

P.  Hitzler and Sarker, M. K., Neuro-Symbolic Artificial Intelligence - The State of the Art. Amsterdam: IOS Press, 2022.

A.  Eberhart, Shimizu, C., Chowdhury, S., Sarker, M. K., and Hitzler, P., ?Expressibility of OWL Axioms with Patterns?, in ESWC 2021, 2021.

A.  Eberhart, Shimizu, C. M., Chowdhury, S., Sarker, M. K., and Hitzler, P., ?Expressibility of OWL Axioms with Patterns?, in The Semantic Web ? 18th International Conference, ESWC 2021, 2021, pp. 230-245.

M.  Ebrahimi, Sarker, M. K., Bianchi, F., Xie, N., Eberhart, A., Doran, D., Kim, H. S., and Hitzler, P., ?Neuro-Symbolic Deductive Reasoning for Cross-Knowledge Graph Entailment?, in AAAI-MAKE 2021, 2021.

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.

P.  Hitzler, Bianchi, F., Ebrahimi, M., and Sarker, M. K., ?Neural-Symbolic Integration and the Semantic Web?, Semantic Web, vol. 11, no. 1, 2020.

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.

M. K.  Sarker and Hitzler, P., ?Efficient Concept Induction for Description Logics?, in AAAI Conference on Artificial Intelligence, Honolulu, US, 2019, vol. 33.

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, 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.

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.

M. K.  Sarker, Krisnadhi, A., Carral, D., and Hitzler, P., ?Rule-based OWL Modeling with ROWLTab Protege Plugin?. 2017.

M. K.  Sarker, Carral, D., Krisnadhi, A., and Hitzler, P., ?Modeling OWL with Rules: The ROWL Protege Plugin?, Kobe, Japan, 2016.

M. K.  Sarker, Krisnadhi, A., and Hitzler, P., ?OWLAx: A Protege Plugin to Support Ontology Axiomatization through Diagramming?, Kobe, Japan, 2016.

M. K.  Sarker, Rokibul, A. Kazi Md, and Arifuzzaman, M., ?Emotion recognition from speech based on relevant feature and majority voting?, in ICIEV, 2014.