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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, 540 downloads.
  2. M. Gaur, "Targeted Knowledge Infusion To Make Conversational AI Explainable and Safe", Proceedings, AAAI23 New Faculty Highlights, February 2023, 495 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, 431 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, 418 downloads.

2019

  1. A. Padia, "Joint Models to Refine Knowledge Graphs", PhdThesis, University of Maryland, Baltimore County, December 2019, 534 downloads.
  2. A. Padia, "Joint Models to Refine Knowledge Graphs", PhdThesis, October 2019, 1001 downloads.

2018

  1. A. Padia, F. Ferraro, and T. Finin, "SURFACE: Semantically Rich Fact Validation with Explanations", InCollection, arXiv, November 2018, 725 downloads.
  2. A. Padia, F. Ferraro, and T. Finin, "SURFACE: Semantically Rich Fact Validation with Explanations", Article, arXiv preprint arXiv:1810.13223, October 2018, 599 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, 1693 downloads.