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Semantic Web
F. Maier, Ma, Y., and Hitzler, P., “Paraconsistent OWL and Related Logics”, Semantic Web, vol. 4, pp. 395–427, 2013.PDF icon paraOWL-2013.pdf (698.73 KB)
M. Knorr, Alferes, J. Júlio, and Hitzler, P., “Local Closed World Reasoning with Description Logics under the Well-Founded Semantics”, Artificial Intelligence, vol. 175, no. 9-10, pp. 1528–1554, 2011.PDF icon LocalClosed-AI-2011.pdf (354.24 KB)
P. Hitzler and van Harmelen, F., “A Reasonable Semantic Web”, Semantic Web, vol. 1, pp. 39–44, 2010.PDF icon ARSW-HH-SWJ2011.pdf (126.61 KB)
J. Lehmann and Hitzler, P., “Concept learning in description logics using refinement operators”, Machine Learning, vol. 78, pp. 203–250, 2010.PDF icon lehmann-hitzler-MLJ-2010.pdf (1.05 MB)
S. Ereshi Akkamahadevi, Dalal, A., and Hitzler, P., “Automating CNN Neuron Interpretation using Concept Induction”, in THE 23RD INTERNATIONAL SEMANTIC WEB CONFERENCE, ISWC 2024, 2024.PDF icon 2024_ISWC_demo_xai_automation_Lab_upload_Samatha.pdf (874.76 KB)
Semantic Web Rule Language
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)
Sensor Applications
S. Quinn, Murphy, N., and Smeaton, A. F., “Tracking Human Behavioural Consistency by Analysing Periodicity of Household Water Consumption”, in 2nd International Conference on Sensors, Signal and Image Processing (SSIP 19), Prague, Czech Republic, 2019.
Sensor Networks
S. Quinn, Murphy, N., and Smeaton, A. F., “Tracking Human Behavioural Consistency by Analysing Periodicity of Household Water Consumption”, in 2nd International Conference on Sensors, Signal and Image Processing (SSIP 19), Prague, Czech Republic, 2019.
skeletal keypoint
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.
Smart City
M. Saeid Mahdavinejad and Rezvan, M., “Machine learning for internet of things data analysis: a survey”, Digital Communications and Networks, vol. 4, pp. 161-175, 2018.
Smart data
M. Saeid Mahdavinejad and Rezvan, M., “Machine learning for internet of things data analysis: a survey”, Digital Communications and Networks, vol. 4, pp. 161-175, 2018.
Solid modeling
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.
SPARQL
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)
Speech processing
B. Hammer, Hitzler, P., Maass, W., and Toussaint, M., “10302 Abstracts Collection - Learning paradigms in dynamic environments”, Learning paradigms in dynamic environments. Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany, Dagstuhl, Germany, 2010.
SROIQ
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)

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