Publications

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synthetic data
A. Eberhart, Cheatham, M., and Hitzler, P., “Pseudo-Random ALC Syntax Generation”, in The Semantic Web: ESWC 2018 Satellite Events - ESWC 2018 Satellite Events, Heraklion, Crete, Greece, June 3-7, 2018, Revised Selected Papers, Heraklion, Crete, Greece, 2018, vol. 11155, pp. 19–22.PDF icon Pseudo_Random_ALC_Syntax_Generation.pdf (134.95 KB)
supported model
A. K. Seda and Hitzler, P., “Generalized Distance Functions in the Theory of Computation”, Computer Journal, vol. 53, pp. 443–464, 2010.PDF icon GeneralizedDistance-CJ-2010.pdf (316.51 KB)
Structured Machine Learning
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)
stable model
A. K. Seda and Hitzler, P., “Generalized Distance Functions in the Theory of Computation”, Computer Journal, vol. 53, pp. 443–464, 2010.PDF icon GeneralizedDistance-CJ-2010.pdf (316.51 KB)
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)
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.
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)
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.
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.
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.
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.
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.
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.
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)
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)

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