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Tags: explanations

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Publications

2023

  1. A. Piplai, A. Kotal, S. Mohseni, M. Gaur, S. Mittal, and A. Joshi, "Knowledge-Enhanced Neurosymbolic Artificial Intelligence for Cybersecurity and Privacy", Article, IEEE Internet Computing, September 2023, 97 downloads.
  2. M. Gaur, "Targeted Knowledge Infusion To Make Conversational AI Explainable and Safe", Proceedings, AAAI23 New Faculty Highlights, February 2023, 225 downloads.

2022

  1. A. Sheth, M. Gaur, K. Roy, R. Venkataraman, and V. Khandelwal, "Process Knowledge-Infused AI: Toward User-Level Explainability, Interpretability, and Safety", Article, IEEE Internet Computing, September 2022, 167 downloads.

2021

  1. K. M. Al Farabi, S. Sarkhel, S. Dey, and D. Venugopal, "Interpretable Explanations for Probabilistic Inference in Markov Logic", InProceedings, International Conference on Big Data, December 2021, 193 downloads.

2019

  1. A. Padia, "Joint Models to Refine Knowledge Graphs", PhdThesis, University of Maryland, Baltimore County, December 2019, 360 downloads.
  2. A. Padia, "Joint Models to Refine Knowledge Graphs", PhdThesis, October 2019, 691 downloads.

2018

  1. A. Padia, F. Ferraro, and T. Finin, "SURFACE: Semantically Rich Fact Validation with Explanations", InCollection, arXiv, November 2018, 538 downloads.
  2. A. Padia, F. Ferraro, and T. Finin, "SURFACE: Semantically Rich Fact Validation with Explanations", Article, arXiv preprint arXiv:1810.13223, October 2018, 408 downloads.

1988

  1. R. Kass and T. Finin, "The Need for User Models in Generating Expert System Explanations", Article, International Journal of Expert Systems, October 1988, 1526 downloads.