Tags: deep learning

Publications

2022

  1. F. Lu, F. Ferraro, and E. Raff, "Continuously Generalized Ordinal Regression for Linear and Deep Models", InProceedings, SIAM International Conference on Data Mining, April 2022, 55 downloads.

2021

  1. S. Dasgupta, A. Piplai, P. Ranade, and A. Joshi, "Cybersecurity Knowledge Graph Improvement with Graph Neural Networks", InProceedings, International Conference on Big Data, December 2021, 149 downloads.
  2. 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.
  3. 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, 209 downloads.
  4. 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, 255 downloads.

2020

  1. 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, 725 downloads.
  2. 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, 206 downloads.
  3. Z. Boukouvalas, C. Mallinson, E. Crothers, N. Japkowicz, A. Piplai, S. Mittal, A. Joshi, and T. Adali, "Independent Component Analysis for Trustworthy Cyberspace during High Impact Events: An Application to Covid-19", Article, arXiv:2006.01284 [cs.LG], June 2020, 208 downloads.
  4. A. Bandi, K. P. Joshi, and V. Mulwad, "Affinity Propagation Initialisation Based Proximity Clustering For Labeling in Natural Language Based Big Data Systems", InProceedings, 6th IEEE International Conference on Big Data Security on Cloud (BigDataSecurity 2020), May 2020, 275 downloads.
  5. J. Sleeman, J. E. Dorband, and M. Halem, "A hybrid quantum enabled RBM advantage: convolutional autoencoders for quantum image compression and generative learning", InProceedings, Quantum Information Science, Sensing, and Computation XII, May 2020, 253 downloads.

2019

  1. M. M. Rahman and T. Finin, "Unfolding the Structure of a Document using Deep Learning", arXiv:1910.03678, September 2019, 210 downloads.
  2. N. Pillai, F. Ferraro, and C. Matuszek, "Deep Learning for Category-Free Grounded Language Acquisition", NAACL Workshop on Spatial Language Understanding and Grounded Communication for Robotics, June 2019, 205 downloads.
  3. A. Pingle, A. Piplai, S. Mittal, A. Joshi, J. Holt, and R. Zak, "RelExt: Relation Extraction using Deep Learning approaches for Cybersecurity Knowledge Graph Improvement", InProceedings, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2019), May 2019, 673 downloads.

2018

  1. J. Sleeman, "Variational Autoencoders using D-Wave Quantum Annealing", InProceedings, American Geophysical Union Fall Meeting Abstracts, December 2018.
  2. M. M. Rahman and T. Finin, "Understanding and representing the semantics of large structured documents", InProceedings, Proceedings of the 4th Workshop on Semantic Deep Learning (SemDeep-4, ISWC), October 2018, 697 downloads.
  3. M. M. Rahman, "Understanding the Logical and Semantic Structure of Large Documents", PhdThesis, University of Maryland, Baltimore County, May 2018, 189 downloads.

2017

  1. M. M. Rahman and T. Finin, "Deep Understanding of a Document's Structure", InProceedings, 4th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, December 2017, 948 downloads.
  2. S. Saha and K. P. Joshi, "Cognitive Assistance for Automating the Analysis of the Federal Acquisition Regulations System", InProceedings, AAAI Fall Symposium 2017, November 2017, 631 downloads.
  3. M. M. Rahman and T. Finin, "Understanding the Logical and Semantic Structure of Large Documents", Article, arXiv e-print, September 2017, 784 downloads.
  4. S. Saha, K. P. Joshi, and A. Gupta, "A Deep Learning Approach to Understanding Cloud Service Level Agreements ", InProceedings, Fifth International IBM Cloud Academy Conference, May 2017, 1129 downloads.