Publications

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Convolutional Neural Network
A. Dalal, “Understanding CNN Hidden Neuron Activations using Concept Induction over Background Knowledge”, THE 23RD INTERNATIONAL SEMANTIC WEB CONFERENCE, ISWC 2024. 2024.PDF icon 2024_ISWC_doctoral.pdf (179.17 KB)
A. Mahbub Uddin, Miraj, A. Al, Sarma, M. Sen, Das, A., and Gani, M. Manjurul, “Traditional Bengali Food Classification Using Convolutional Neural Network”, in 2021 IEEE Region 10 Symposium (TENSYMP), 2021, pp. 1-8.
S. Salam Aonty, Deb, K., Sarma, M. Sen, Dhar, P. Kumar, and Shimamura, T., “Multi-Person Pose Estimation Using Group-Based Convolutional Neural Network Model”, IEEE Access, vol. 11, pp. 42343-42360, 2023.
Convolutional neural networks
A. Mahbub Uddin, Miraj, A. Al, Sarma, M. Sen, Das, A., and Gani, M. Manjurul, “Traditional Bengali Food Classification Using Convolutional Neural Network”, in 2021 IEEE Region 10 Symposium (TENSYMP), 2021, pp. 1-8.
S. Salam Aonty, Deb, K., Sarma, M. Sen, Dhar, P. Kumar, and Shimamura, T., “Multi-Person Pose Estimation Using Group-Based Convolutional Neural Network Model”, IEEE Access, vol. 11, pp. 42343-42360, 2023.
D-SPARQ
R. Mutharaju, Sakr, S., Sala, A., and Hitzler, P., “D-SPARQ: Distributed, Scalable and Efficient RDF Query Engine”, in Proceedings of the ISWC 2013 Posters & Demonstrations Track, Sydney, Australia, 2013, vol. 1035, pp. 261–264.PDF icon dsparq-ISWC2013.pdf (210.38 KB)
Data complexity
S. Huang, Li, Q., and Hitzler, P., “Reasoning with Inconsistencies in Hybrid MKNF Knowledge Bases”, Logic Journal of the IGPL, vol. 21, pp. 263–290, 2013.PDF icon ljigpl-parahkmf-2013.pdf (225.39 KB)
data integration
C. Shimizu, Hitzler, P., Hirt, Q., Rehberger, D., Estrecha, S. Gonzalez, Foley, C., Sheill, A. M., Hawthorne, W., Mixter, J., Watrall, E., Carty, R., and Tarr, D., “The Enslaved Ontology: Peoples of the Historic Slave Trade”, Journal of Web Semantics, vol. 63, 2020.PDF icon (pdf) author version: The Enslaved Ontology (1020.25 KB)
Data models
A. Mahbub Uddin, Miraj, A. Al, Sarma, M. Sen, Das, A., and Gani, M. Manjurul, “Traditional Bengali Food Classification Using Convolutional Neural Network”, in 2021 IEEE Region 10 Symposium (TENSYMP), 2021, pp. 1-8.
datalog
S. Rudolph, Krötzsch, M., and Hitzler, P., “Type-Elimination-Based Reasoning for the Description Logic SHIQbs using Decision Diagrams and Disjunctive Datalog”, Logical Methods in Computer Science, vol. 8, 2012.PDF icon type-elimination-2012.pdf (368.62 KB)
M. Krötzsch, Maier, F., Krisnadhi, A., and Hitzler, P., “A Better Uncle for OWL: Nominal Schemas for Integrating Rules and Ontologies”, in Proceedings of the 20th International Conference on World Wide Web, WWW 2011, Hyderabad, India, March 28 - April 1, 2011, 2011, pp. 645-654.PDF icon KroetzschMaierKrisnadhiHitzler-WWW11.pdf (406.28 KB)
dataset search
S. Lalithsena, Hitzler, P., Sheth, A., and Jain, P., “Automatic Domain Identification for Linked Open Data”, in 2013 IEEE/WIC/ACM International Conferences on Web Intelligence, WI 2013, Atlanta, GA, USA, 2013, pp. 205–212.PDF icon DomainIdentLOD-WI13.pdf (1.16 MB)
decidability
A. Krisnadhi, Sengupta, K., and Hitzler, P., “Local Closed World Semantics: Keep it simple, stupid!”, in Proceedings of the 24th International Workshop on Description Logics (DL 2011), Barcelona, Spain, July 13-16, 2011, 2011, vol. 745.
decision diagrams
S. Rudolph, Krötzsch, M., and Hitzler, P., “Type-Elimination-Based Reasoning for the Description Logic SHIQbs using Decision Diagrams and Disjunctive Datalog”, Logical Methods in Computer Science, vol. 8, 2012.PDF icon type-elimination-2012.pdf (368.62 KB)
Deep Learning
A. Eberhart, Ebrahimi, M., Zhou, L., Shimizu, C., and Hitzler, P., “Completion Reasoning Emulation for the Description Logic EL+”, Proceedings of the AAAI 2020 Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice, vol. 2600. CEUR-WS.org, Stanford University, Palo Alto, California, USA, 2020.PDF icon paper5.pdf (1.89 MB)

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