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Found 14 papers, 2 papers with code
A Review of Cybersecurity Incidents in the Food and Agriculture Sector
The increasing utilization of emerging technologies in the Food & Agriculture (FA) sector has heightened the need for security to minimize cyber risks.
ACWA: An AI-driven Cyber-Physical Testbed for Intelligent Water Systems
In this paper, the system is introduced in detail and compared with existing water testbeds; additionally, example use-cases are described along with novel outcomes such as datasets, software, and AI-related scenarios.
Rationalization for Explainable NLP: A Survey
Recent improvements in natural language generation have made rationalization an attractive technique because it is intuitive, human-comprehensible, and accessible to non-technical users.
Explainable Artificial Intelligence (XAI)
Question Answering
+3
ExClaim: Explainable Neural Claim Verification Using Rationalization
We introduce a novel claim verification approach, namely: ExClaim, that attempts to provide an explainable claim verification system with foundational evidence.
Proceedings of AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges
These applications have implications in areas ranging as widely as energy, agriculture, and finance.
AI Assurance using Causal Inference: Application to Public Policy
Developing and implementing AI-based solutions help state and federal government agencies, research institutions, and commercial companies enhance decision-making processes, automate chain operations, and reduce the consumption of natural and human resources.
Outlier Detection using AI: A Survey
An outlier is an event or observation that is defined as an unusual activity, intrusion, or a suspicious data point that lies at an irregular distance from a population.
Measuring Outcomes in Healthcare Economics using Artificial Intelligence: with Application to Resource Management
In most cases, such events lead to critical uncertainties in decision making, as well as in multiple medical and economic aspects at a hospital.
A Survey on AI Assurance
Artificial Intelligence (AI) algorithms are increasingly providing decision making and operational support across multiple domains.
Public Policymaking for International Agricultural Trade using Association Rules and Ensemble Machine Learning
The recent shocks to the free trade regime, especially trade disputes among major economies, as well as black swan events, such as trade wars and pandemics, raise the need for improved predictions to inform policy decisions.
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 strong and interdependent relationships with the agricultural supply chain and international trade flows.
The application of artificial intelligence in software engineering: a review challenging conventional wisdom
This survey chapter is a review of the most commonplace methods of AI applied to SE.
Foundations of data imbalance and solutions for a data democracy
Dealing with imbalanced data is a prevalent problem while performing classification on the datasets.
Context-Driven Data Mining through Bias Removal and Data Incompleteness Mitigation
Context-driven Data Science Lifecycle (C-DSL); the main contribution of this paper, is developed to address these challenges.
