Kamruzzaman Sarker

Submitted
A. Dalal, Sarker, M. K., Barua, A., and Hitzler, P., “Explaining Deep Learning Hidden Neuron Activations using Concept Induction”, Submitted.PDF icon Explaining_Deep_Learning_Hidden_Neuron_Activations_using_Concept_Induction (2).pdf (7.89 MB)
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.PDF icon 2021_AIC_NeSy.pdf (149.19 KB)
P. Hitzler and Sarker, M. K., Neuro-Symbolic Artificial Intelligence - The State of the Art. Amsterdam: IOS Press, 2022.
2021
A. Eberhart, Shimizu, C., Chowdhury, S., Sarker, M. K., and Hitzler, P., “Expressibility of OWL Axioms with Patterns”, in ESWC 2021, 2021.PDF icon Expressibility_of_OWL_ Axioms_with_Patterns.pdf (357.95 KB)
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.PDF icon 2021-AAAI_MAKE.pdf (753.28 KB)
2020
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.PDF icon 2020_Wiki_KG_kgswc_conference.pdf (1.02 MB)
2019
M. K. Sarker and Hitzler, P., “Efficient Concept Induction for Description Logics”, in AAAI Conference on Artificial Intelligence, Honolulu, US, 2019, vol. 33.PDF icon Efficient Concept Induction for Description Logics.pdf (288.86 KB)
2018
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.
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)
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)
2016
M. K. Sarker, Carral, D., Krisnadhi, A., and Hitzler, P., “Modeling OWL with Rules: The ROWL Protege Plugin”, Kobe, Japan, 2016.PDF icon ROWL.pdf (184.79 KB)

Pages