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Publications

Displaying publications 1061 through 1079 out of 1079.

Publications

  1. M. M. Rahman and e., "A more appropriate Protein Classification using Data Mining", Article, journal of theoretical and applied information technology, November 2010.
  2. J. Sleeman, "Dynamic Data Assimilation for Topic Modeling (DDATM)", PhdThesis, University of Maryland, Baltimore County, July 2017.
  3. A. Padia, D. Martin, and P. Patel-Schneider, "Automating Class/Instance Representational Choices in Knowledge Bases", InProceedings, Knowledge Engineering and Knowledge Management (EKAW 2018), October 2018.
  4. J. Sleeman, "Variational Autoencoders using D-Wave Quantum Annealing", InProceedings, American Geophysical Union Fall Meeting Abstracts, December 2018.
  5. J. Sleeman, V. Caicedo, M. Halem, and B. Demoz, "Using Lidar and Machine Learning to Identify Planetary Boundary Layer Heights", InProceedings, American Geophysical Union Fall Meeting Abstracts, December 2019.
  6. R. Ayanzadeh, M. Halem, and T. Finin, "Compressive Geospatial Analytics", InProceedings, American Geophysical Union, Fall Meeting 2019, December 2019.
  7. R. Ayanzadeh, "Quantum Artificial Intelligence for Natural Language Processing Applications", InProceedings, SIGCSE '18: Proceedings of the 49th ACM Technical Symposium on Computer Science Education, February 2018.
  8. R. Ayanzadeh, M. Halem, and T. Finin, "Solving Hard SAT Instances with Adiabatic Quantum Computers", American Geophysical Union, Fall Meeting 2018, abstract #IN41B-27, December 2018.
  9. J. Sleeman, M. Halem, V. Caicedo, B. Demoz, and R. M. Delgado, "A Deep Machine Learning Approach for LIDAR Based Boundary Layer Height Detection", InProceedings, IEEE International Geoscience and Remote Sensing Symposium, October 2020.
  10. J. Sleeman, I. Stajner, C. Keller, M. Halem, C. Hamer, R. Montuoro, B. Baker, and e., "The Integration of Artificial Intelligence for Improved Operational Air Quality Forecasting", InProceedings, AGU Fall Meeting 2021, December 2021.
  11. M. Halem, a. kochanski, J. Mandel, P. Nguyen, R. Atlas, Z. Yang, A. Bargteil, J. Sleeman, V. Caicedo, B. Demoz, D. Chapman, and K. Patel, "A Machine Learning Plume-Resolving Model Implementation over North America for Mega-Wildland Fire Smoke Impacts on Distant Planetary Boundary Layers", InProceedings, 102nd American Meteorological Society Annual Meeting, January 2022.
  12. G. Shan, B. Zhao, J. Clavin, H. Zhang, and S. Duan, "Poligraph: Intrusion-Tolerant and Distributed Fake News Detection System", Article, IEEE Transactions on Information Forensics and Security, November 2021.
  13. T. Finin, "Casting the Rendezvous Analyzer Rules into Augmented Transition Network Form", TechReport, IBM Research Report RJ 2146, November 1978.
  14. T. Finin, "The Interpretation of Nominal Compounds in Discourse", TechReport, University of Pennsylvania, January 1982.
  15. T. Finin and D. Klein, "Characterizing Knowledge Depth in Intelligent Safety Systems", Article, Applied Artificial Intelligence, October 1989.
  16. T. Finin, "An Algorithm for Parsing Nominal Compounds", TechReport, Technical Report MS-CIS-81-12, December 1981.
  17. T. Finin and B. Grosof, "Artificial Intelligence for Electronic Commerce", Proceedings, AAAI Press, July 1999.
  18. D. Norris, A. Joshi, and T. Finin, "Cyber-Security at the Grassroots: American State and Local Governments and the Management of Website Security", InProceedings, Proceedings of the Annual Conference of the Urban Affairs Association, April 2015.
  19. D. Norris, L. Mateczun, A. Joshi, and T. Finin, "Cyber-Security at the Grassroots: Findings from a Nationwide Survey of Local Government CyberSecurity", InProceedings, 47th Annual Conference of the Urban Affairs Association, April 2017.