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∙ 01/21/2023

ExClaim: Explainable Neural Claim Verification Using Rationalization

With the advent of deep learning, text generation language models have i...

0 Sai Gurrapu, et al. ∙

∙ 01/21/2023

Rationalization for Explainable NLP: A Survey

Recent advances in deep learning have improved the performance of many N...

0 Sai Gurrapu, et al. ∙

∙ 12/27/2022

Proceedings of AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges

Climate change is one of the most pressing challenges of our time, requi...

0 Feras A. Batarseh, et al. ∙

∙ 06/19/2022

Cybersecurity Law: Legal Jurisdiction and Authority

Cybersecurity threats affect all aspects of society; critical infrastruc...

0 Feras A. Batarseh, et al. ∙

∙ 12/01/2021

AI Assurance using Causal Inference: Application to Public Policy

Developing and implementing AI-based solutions help state and federal go...

0 Andrei Svetovidov, et al. ∙

∙ 12/01/2021

Outlier Detection using AI: A Survey

An outlier is an event or observation that is defined as an unusual acti...

0 Md Nazmul Kabir Sikder, et al. ∙

∙ 11/15/2021

Public Policymaking for International Agricultural Trade using Association Rules and Ensemble Machine Learning

International economics has a long history of improving our understandin...

14 Feras A. Batarseh, et al. ∙

∙ 11/15/2021

A Survey on AI Assurance

Artificial Intelligence (AI) algorithms are increasingly providing decis...

15 Feras A. Batarseh, et al. ∙

∙ 11/15/2021

Measuring Outcomes in Healthcare Economics using Artificial Intelligence: with Application to Resource Management

The quality of service in healthcare is constantly challenged by outlier...

0 Chih-Hao Huang, et al. ∙

∙ 10/22/2021

DeepAg: Deep Learning Approach for Measuring the Effects of Outlier Events on Agricultural Production and Policy

Quantitative metrics that measure the global economy's equilibrium have ...

0 Sai Gurrapu, et al. ∙

∙ 08/03/2021

The history and future prospects of open data and open source software

Open data for all New Yorkers is the tagline on New York City's open dat...

0 Feras A. Batarseh, et al. ∙

∙ 08/03/2021

The application of artificial intelligence in software engineering: a review challenging conventional wisdom

The field of artificial intelligence (AI) is witnessing a recent upsurge...

7 Feras A. Batarseh, et al. ∙

∙ 07/30/2021

Foundations of data imbalance and solutions for a data democracy

Dealing with imbalanced data is a prevalent problem while performing cla...

0 Ajay Kulkarni, et al. ∙

∙ 10/20/2020

Panel: Economic Policy and Governance during Pandemics using AI

The global food supply chain (starting at farms and ending with consumer...

0 Feras A. Batarseh, et al. ∙

∙ 10/19/2019

Context-Driven Data Mining through Bias Removal and Data Incompleteness Mitigation

The results of data mining endeavors are majorly driven by data quality....

0 Feras A. Batarseh, et al. ∙

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