UMBC ebiquity UMBC ebiquity

Tags: explanations

Subscribe

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, 1319 downloads.
  2. M. Gaur, "Targeted Knowledge Infusion To Make Conversational AI Explainable and Safe", Proceedings, AAAI23 New Faculty Highlights, February 2023, 886 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, 628 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, 765 downloads.

2019

  1. A. Padia, "Joint Models to Refine Knowledge Graphs", PhdThesis, University of Maryland, Baltimore County, December 2019, 674 downloads.
  2. A. Padia, "Joint Models to Refine Knowledge Graphs", PhdThesis, October 2019, 1348 downloads.

2018

  1. A. Padia, F. Ferraro, and T. Finin, "SURFACE: Semantically Rich Fact Validation with Explanations", InCollection, arXiv, November 2018, 1004 downloads.
  2. A. Padia, F. Ferraro, and T. Finin, "SURFACE: Semantically Rich Fact Validation with Explanations", Article, arXiv preprint arXiv:1810.13223, October 2018, 780 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, 1889 downloads.