Publications

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Journal Article
E. Akbari, Buntat, Z., Enzevaee, A., Ebrahimi, M., Yazdavar, A. Hossein, and Yusof, R., Analytical modeling and simulation of I–V characteristics in carbon nanotube based gas sensors using ANN and SVR methods, Chemometrics and Intelligent Laboratory Systems, vol. 137, pp. 173–180, 2014.
G. Goodman, Edwards, A., Shimizu, C., Banerjee, T., Hughes, J., Romine, W., and Lawhorne, L., Caregiver Assessment Using Smart Gaming Technology: A Preliminary Approach, CoRR, vol. abs/1802.03051, 2018.PDF icon 1802.03051.pdf (904.23 KB)
M. Ebrahimi, Yazdavar, A. Hossein, and Sheth, A., On the Challenges of Sentiment Analysis for Dynamic Events, IEEE Intelligent Systems, 2017.
D. Gentner, van Harmelen, F., Hitzler, P., Janowicz, K., and Kühnberger, K. - U., Cognitive Approaches for the Semantic Web (Dagstuhl Seminar 12221), Dagstuhl Reports, vol. 2, pp. 93–116, 2012.
M. Krötzsch, Rudolph, S., and Hitzler, P., Complexities of Horn Description Logics, ACM Trans. Comput. Log., vol. 14, p. 2, 2013.PDF icon Hitzler-HornDLs-2013.pdf (764.32 KB)
Y. Ma, Qi, G., Xiao, G., Hitzler, P., and Lin, Z., Computational Complexity and Anytime Algorithm for Inconsistency Measurement, International Journal of Software and Informatics, vol. 4, pp. 3–21, 2010.PDF icon CompComplexity-IJSI2010.pdf (478.9 KB)
Y. Ma, Qi, G., and Hitzler, P., Computing Inconsistency Measure based on Paraconsistent Semantics, Journal of Logic and Computation, vol. 21, no. 6, pp. 1257–1281, 2011.PDF icon JLC-incons-measure-2011.pdf (459.85 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)
E. Blomqvist, Hitzler, P., Janowicz, K., Krisnadhi, A., Narock, T., and Solanki, M., Considerations regarding Ontology Design Patterns, Semantic Web, vol. 7, no. 1, pp. 1-7, 2016.PDF icon swj-7-1-2015.pdf (251.83 KB)
P. Hitzler, Rayan, R., Zalewski, J., Norouzi, S. Saki, Eberhart, A., and Vasserman, E. Y., Deep Deductive Reasoning is a Hard Deep Learning Problem, Neurosymbolic Artificial Intelligence, In Press.PDF icon 2024_NAI_DDR.pdf (414.08 KB)
P. Hitzler, Rayan, R., Zalewski, J., Norouzi, S. Saki, Eberhart, A., and Vasserman, E. Y., Deep Deductive Reasoning is a Hard Deep Learning Problem, 2023.PDF icon 2023_NAI_DDR.pdf (414.08 KB)
K. Janowicz and Hitzler, P., The Digital Earth as Knowledge Engine, Semantic Web, vol. 3, pp. 213–221, 2012.PDF icon DEKE-SWJ-2012.pdf (249.38 KB)
K. Janowicz, Shimizu, C., Hitzler, P., Mai, G., Stephen, S., Zhu, R., Cai, L., Zhou, L., Schildhauer, M., Liu, Z., Wang, Z., and Shi, M., Diverse data! Diverse schemata?, Semantic Web, vol. 13, pp. 1–3, 2022.PDF icon sw_2022_13-1_sw-13-1-sw210453_sw-13-sw210453.pdf (61.64 KB)
D. Carral, Zalewski, J., and Hitzler, P., An efficient algorithm for reasoning over OWL EL ontologies with nominal schemas, Journal of Logic and Computation, 2022.PDF icon 2017_journal_el_nominal_schemas_2022.pdf (498.7 KB)
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)

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