Tags: explanations

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, 131 downloads.
  2. M. Gaur, "Targeted Knowledge Infusion To Make Conversational AI Explainable and Safe", Proceedings, AAAI23 New Faculty Highlights, February 2023, 251 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, 181 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, 206 downloads.

2019

  1. A. Padia, "Joint Models to Refine Knowledge Graphs", PhdThesis, University of Maryland, Baltimore County, December 2019, 376 downloads.
  2. A. Padia, "Joint Models to Refine Knowledge Graphs", PhdThesis, October 2019, 719 downloads.

2018

  1. A. Padia, F. Ferraro, and T. Finin, "SURFACE: Semantically Rich Fact Validation with Explanations", InCollection, arXiv, November 2018, 550 downloads.
  2. A. Padia, F. Ferraro, and T. Finin, "SURFACE: Semantically Rich Fact Validation with Explanations", Article, arXiv preprint arXiv:1810.13223, October 2018, 417 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, 1542 downloads.