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Publications

Displaying publications 41 through 60 out of 935.

Publications

2021

  1. N. Pillai, C. Matuszek, and F. Ferraro, "Measuring Perceptual and Linguistic Complexity in Multilingual Grounded Language Data", InProceedings, 34th International FLAIRS Conference (FLAIRS-34), May 2021, 212 downloads.
  2. D. L. Kim and K. P. Joshi, "A Semantically Rich Knowledge Graph to Automate HIPAA Regulations for Cloud Health IT Services", 7th IEEE International Conference on Big Data Security on Cloud (BigDataSecurity 2021), May 2021, 277 downloads.
  3. R. Razavisousan and K. P. Joshi, "Building Textual Fuzzy Interpretive Structural Modeling to Analyze Factors of Student Mobility", TechReport, UMBC, April 2021, 143 downloads.
  4. A. Ganesan, F. Ferraro, and T. Oates, "Locality Preserving Loss: Neighbors that Live together, Align together", InProceedings, AdaptNPT: The Second Workshop on Domain Adaptation for NLP at EACL, April 2021, 118 downloads.
  5. M. Murnane, P. Higgins, M. Saraf, F. Ferraro, C. Matuszek, and D. Engel, "A Simulator for Human-Robot Interaction in Virtual Reality", InProceedings, Conference on Virtual Reality and 3D User Interfaces, Abstracts and Workshops (VRW), March 2021, 221 downloads.
  6. D. Ziaei, J. Sleeman, M. Halem, V. Caicedo, R. M. Delgado, and B. Demoz, "Convolutional LSTM for Planetary Boundary Layer Height (PBLH) Prediction", InProceedings, AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, March 2021, 212 downloads.
  7. Z. Ali, D. Ziaei, J. Sleeman, Z. Yang, and M. Halem, "LSTMs for Inferring Planetary Boundary Layer Height (PBLH)", InProceedings, AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, March 2021, 258 downloads.
  8. P. Higgins, G. Y. Kebe, K. Darvish, D. Engel, F. Ferraro, and C. Matuszek, "Towards Making Virtual Human-Robot Interaction a Reality", InProceedings, 3rd International Workshop on Virtual, Augmented, and Mixed-Reality for Human-Robot Interactions (VAM-HRI), March 2021, 342 downloads.
  9. S. Chukkapalli, S. Aziz, N. Alotaibi, S. Mittal, M. Gupta, and M. Abdelsalam, "Ontology driven AI and Access Control Systems for Smart Fisheries", TechReport, January 2021, 351 downloads.

2020

  1. L. Elluri, K. P. Joshi, and A. Kotal, "Measuring Semantic Similarity across EU GDPR Regulation and Cloud Privacy Policies", InProceedings, 7th International Workshop on Privacy and Security of Big Data (PSBD 2020), in conjunction with 2020 IEEE International Conference on Big Data (IEEE BigData 2020), December 2020, 322 downloads.
  2. R. Walid, K. P. Joshi, S. Choi, and D. L. Kim, "Cloud-based Encrypted EHR System with Semantically Rich Access Control and Searchable Encryption", InProceedings, 7th International Workshop on Privacy and Security of Big Data (PSBD 2020), in conjunction with 2020 IEEE International Conference on Big Data (IEEE BigData 2020), December 2020, 343 downloads.
  3. N. Pillai, E. Raff, F. Ferraro, and C. Matuszek, "Sampling Approach Matters: Active Learning for Robotic Language Acquisition", InProceedings, IEEE BigData BDML, December 2020, 330 downloads.
  4. S. Dasgupta, A. Piplai, A. Kotal, and A. Joshi, "A Comparative Study of Deep Learning based Named Entity Recognition Algorithms for Cybersecurity", InProceedings, IEEE International Conference on Big Data 2020, December 2020, 726 downloads.
  5. M. Rezaee and F. Ferraro, "A Discrete Variational Recurrent Topic Model without the Reparametrization Trick", InProceedings, NeurIPS, December 2020, 174 downloads.
  6. A. Piplai, S. Mittal, A. Joshi, T. Finin, J. Holt, and R. Zak, "Creating Cybersecurity Knowledge Graphs from Malware After Action Reports", Proceedings, IEEE Access Journal, December 2020, 781 downloads.
  7. A. Piplai, P. Ranade, A. Kotal, S. Mittal, S. N. Narayanan, and A. Joshi, "Using Knowledge Graphs and Reinforcement Learning for Malware Analysis", InProceedings, IEEE International Conference on Big Data 2020, December 2020, 689 downloads.
  8. K. P. Joshi and S. Saha, "A Semantically Rich Framework for Knowledge Representation of Code of Federal Regulations (CFR)", Article, Digital Government: Research and Practice, December 2020, 209 downloads.
  9. R. Patel and F. Ferraro, "On the Complementary Nature of Knowledge Graph Embedding, Fine Grain Entity Types, and Language Modeling", InProceedings, EMNLP Workshop on Deep Learning Inside Out, November 2020, 184 downloads.
  10. A. Piplai, S. Mittal, M. Abdelsalam, M. Gupta, A. Joshi, and T. Finin, "Knowledge Enrichment by Fusing Representations for Malware Threat Intelligence and Behavior", InProceedings, IEEE Intelligence and Security Informatics (ISI) 2020, November 2020, 333 downloads.
  11. S. Vallurupalli, J. Sleeman, and T. Finin, "Fine and Ultra-Fine Entity Type Embeddings for Question Answering", InProceedings, International Semantic Web Conference, November 2020, 242 downloads.