Hu, Xuke, Hussein S. Al-Olimat, Jens Kersten, Matti Wiegmann, Friederike Klan, Yeran Sun, and Hongchao Fan. GazPNE: annotation-free deep learning for place name extraction from microblogs leveraging gazetteer and synthetic data by rules. International Journal of Geographical Information Science 36, no. 2 (2022): 310-337.
Laura Sachse, Smriti Dasari, Marc Ackermann, Emily Patnaude, Stephanie OLeary, Hussein Al-Olimat, Alexander Grigorenko, Andrew Stewart, AnnaJane Ward, Annie Darmofal, Sowmya Ballakur, William Bennett, Amy Franzen, Sibel Blau, Abhinav Binod Chandra, Petros Nikolinakos, James Michael Orsini, Julio Antonio Peguero, Kimberly L. Blackwell, and Matthew M. Cooney. Leveraging machine learning technology to efficiently identify and match patients for precision oncology clinical trials. Journal of Clinical Oncology 2021 39:15_suppl, e13588-e13588
Al-Olimat, Hussein "Knowledge-enabled Entity Extraction." Electronic Dissertation. Wright State University, 2019. https://etd.ohiolink.edu/
Hussein S. Al-Olimat, Valerie Shalin, Krishnaprasad Thirunarayan, and Joy Prakash Sain. 2019. Towards Geocoding Spatial Expressions (vision paper). In Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL '19). ACM, New York, NY, USA. DOI: https://doi.org/10.1145/3347146.3359356
Maneriker, Pranav, Nikhita Vedula, Hussein S. Al-Olimat, Jiayong Liang, Omar El-Khoury, Ethan Kubatko, Desheng Liu et al. A Pipeline for Disaster Response and Relief Coordination. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1337-1340. ACM, 2019.
Elkholy, Alexander Hussam, Balasubramanian Kandaswamy, Steven Matt Gustafson, and Hussein S. Al-Olimat. Machine assisted learning of entities. U.S. Patent Application 10/242,320, filed March 26, 2019.
Shruti Kar, Hussein S. Al-Olimat, Krishnaprasad Thirunarayan, Valerie L. Shalin, Amit Sheth, and Srinivasan Parthasarathy. 2018. D-record: Disaster Response and Relief Coordination Pipeline. In Proceedings of the 1st ACM SIGSPATIAL Workshop on Advances on Resilient and Intelligent Cities (ARIC'18), Bandana Kar, Olufemi A. Omitaomu, Shima Mohebbi, and Guangtao Fu (Eds.). ACM, New York, NY, USA, 13-16. DOI: https://doi.org/10.1145/3284566.3284572
Hussein S. Al-Olimat, Steven Gustafson, Jason Mackay, Krishnaprasad Thirunarayan, and Amit Sheth. 2018. A practical incremental learning framework for sparse entity extraction. In Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018), pages 700–710. Association for Computational Linguistics.
Hussein S. Al-Olimat, Krishnaprasad Thirunarayan, Valerie Shalin, and Amit Sheth. 2018. Location Name Extraction from Targeted Text Streams using Gazetteer-based Statistical Language Models. In Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018), pages 1986–1997. Association for Computational Linguistics.
Wijeratne, Sanjaya, Amit Sheth, Shreyansh Bhatt, Lakshika Balasuriya, Hussein S. Al-Olimat, Manas Gaur, Amir Hossein Yazdavar, and Krishnaprasad Thirunarayan. "Feature engineering for twitter-based applications." Feature Engineering for Machine Learning and Data Analytics (2017): 35.
Amir Hossein Yazdavar, Hussein S. Al-Olimat, Monireh Ebrahimi, Goonmeet Bajaj, Tanvi Banerjee, Krishnaprasad Thirunarayan, Jyotishman Pathak, and Amit Sheth. 2017. Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media. In Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 (ASONAM '17), Jana Diesner, Elena Ferrari, and Guandong Xu (Eds.). ACM, New York, NY, USA, 1191-1198.
Al-Olimat, Hussein "Optimizing Cloudlet Scheduling and Wireless Sensor Localization using Computational Intelligence Techniques." Electronic Thesis or Dissertation. University of Toledo, 2014. https://etd.ohiolink.edu/