Kamruzzaman Sarker
“Neuro-Symbolic AI and the Semantic Web”, Semantic Web Journal, In Press. 2024-SWJ-NeSy-SI.pdf (81.48 KB)
, “Explaining Deep Learning Hidden Neuron Activations using Concept Induction”, 2023. Explaining_Deep_Learning_Hidden_Neuron_Activations_using_Concept_Induction (2).pdf (7.89 MB)
, , “Towards Human-Compatible XAI: Explaining Data Differentials with Concept Induction over Background Knowledge”, Journal of Web Semantics, vol. 79:100807, 2023. Towards_human_compatible_XAI.pdf (1.06 MB)
, “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. 2020-arxiv-nfes.pdf (408.14 KB)
, “Neuro-symbolic approaches in artificial intelligence”, National Science Review, vol. 9, no. 6, 2022.
, “Neuro-Symbolic Artificial Intelligence: Current Trends”, AI Communications, vol. 34, no. 3, 2022. 2021_AIC_NeSy.pdf (149.19 KB)
, Neuro-Symbolic Artificial Intelligence - The State of the Art. Amsterdam: IOS Press, 2022.
, “Expressibility of OWL Axioms with Patterns”, in ESWC 2021, 2021. Expressibility_of_OWL_ Axioms_with_Patterns.pdf (357.95 KB)
, “Expressibility of OWL Axioms with Patterns”, in The Semantic Web – 18th International Conference, ESWC 2021, 2021, pp. 230-245. 2021-ESWC-Expressebility-of-owl-axioms-and-patterns.pdf (357.95 KB)
, “Neuro-Symbolic Deductive Reasoning for Cross-Knowledge Graph Entailment”, in AAAI-MAKE 2021, 2021. 2021-AAAI_MAKE.pdf (753.28 KB)
, “Counterfactual reasoning over large-scale human performance optimization experiments”, Virtual poster presented at the annual meeting of the Psychonomic Society, November 2020. 2020.
, “Neural-Symbolic Integration and the Semantic Web”, Semantic Web, vol. 11, no. 1, 2020.
, “Wikipedia Knowledge Graph for Explainable AI”, in Second Iberoamerican Knowledge Graphs and Semantic Web Conference (KGSWC), 2020. 2020_Wiki_KG_kgswc_conference.pdf (1.02 MB)
, “Efficient Concept Induction for Description Logics”, in AAAI Conference on Artificial Intelligence, Honolulu, US, 2019, vol. 33. Efficient Concept Induction for Description Logics.pdf (288.86 KB)
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