Feras Batarseh

According to our database, Feras Batarseh authored at least 45 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Review of Cybersecurity Incidents in the Food and Agriculture Sector.

Ajay Kulkarni, Yingjie Wang, Munisamy Gopinath, Dan Sobien, Abdul Rahman, Feras A. Batarseh

CoRR, 2024

2023

AI for Water.

Feras A. Batarseh, Ajay Kulkarni

Computer, March, 2023

Rationalization for explainable NLP: a survey.

Sai Gurrapu, Ajay Kulkarni, Lifu Huang, Ismini Lourentzou, Feras A. Batarseh

Frontiers Artif. Intell., February, 2023

Human-in-the-loop for computer vision assurance: A survey.

Matthew Wilchek, Will Hanley, Jude Lim, Kurt Luther, Feras A. Batarseh

Eng. Appl. Artif. Intell., 2023

ACWA: An AI-driven Cyber-Physical Testbed for Intelligent Water Systems.

Feras A. Batarseh, Ajay Kulkarni, Chhayly Sreng, Justice Lin, Siam Maksud

CoRR, 2023

ExClaim: Explainable Neural Claim Verification Using Rationalization.

Sai Gurrapu, Lifu Huang, Feras A. Batarseh

CoRR, 2023

Rationalization for Explainable NLP: A Survey.

Sai Gurrapu, Ajay Kulkarni, Lifu Huang, Ismini Lourentzou, Laura J. Freeman, Feras A. Batarseh

CoRR, 2023

2022

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

Feras A. Batarseh, Priya L. Donti, Ján Drgona, Kristen Fletcher, Pierre-Adrien Hanania, Melissa Hatton, Srinivasan Keshav, Bran Knowles, Raphaela Kotsch, Sean McGinnis, Peetak Mitra, Alex Philp, Jim Spohrer, Frank Stein, Meghna Tare, Svitlana Volkov, Gege Wen

CoRR, 2022

Cybersecurity Law: Legal Jurisdiction and Authority.

Feras A. Batarseh

CoRR, 2022

The Path to a Consensus on Artificial Intelligence Assurance.

Laura J. Freeman, Feras A. Batarseh, D. Richard Kuhn, Mohammad S. Raunak, Raghu N. Kacker

Computer, 2022

Trustworthy AI Solutions for Cyberbiosecurity Challenges in Water Supply Systems.

Wan-Yi Mao, Mehmet Yardimci, Minh Nguyen, Dan Sobien, Laura J. Freeman, Feras A. Batarseh, Abdul Rahman, Vinita Fordham

Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

Enabling AI Adoption through Assurance.

Jaganmohan Chandrasekaran, Feras A. Batarseh, Laura J. Freeman, Raghu Kacker, Mohammad S. Raunak, Rick Kuhn

Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

2021

A survey on artificial intelligence assurance.

Feras A. Batarseh, Laura J. Freeman, Chih-Hao Huang

J. Big Data, 2021

AI Assurance using Causal Inference: Application to Public Policy.

Andrei Svetovidov, Abdul Rahman, Feras A. Batarseh

CoRR, 2021

Outlier Detection using AI: A Survey.

Md. Nazmul Kabir Sikder, Feras A. Batarseh

CoRR, 2021

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

Feras A. Batarseh, Munisamy Gopinath, Anderson Monken, Zhengrong Gu

CoRR, 2021

A Survey on AI Assurance.

Feras A. Batarseh, Laura J. Freeman

CoRR, 2021

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

Chih-Hao Huang, Feras A. Batarseh, Adel Boueiz, Ajay Kulkarni, Po-Hsuan Su, Jahan Aman

CoRR, 2021

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

Feras A. Batarseh, Abhinav Kumar, Sam Eisenberg

CoRR, 2021

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

Feras A. Batarseh, Rasika Mohod, Abhinav Kumar, Justin Bui

CoRR, 2021

Foundations of data imbalance and solutions for a data democracy.

Ajay Kulkarni, Deri Chong, Feras A. Batarseh

CoRR, 2021

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

Sai Gurrapu, Feras A. Batarseh, Pei Wang, Md. Nazmul Kabir Sikder, Nitish Gorentala, Munisamy Gopinath

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Graph Neural Networks for Modeling Causality in International Trade.

Anderson Monken, Flora Haberkorn, Munisamy Gopinath, Laura J. Freeman, Feras A. Batarseh

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

Applications of Machine Learning For Precision Agriculture and Smart Farming.

Sai Gurrapu, Nazmul Sikder, Pei Wang, Nitish Gorentala, Madison Williams, Feras A. Batarseh

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

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

Feras A. Batarseh, Chih-Hao Huang

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

Technology Policy Recommendations Using Artificial Intelligence.

Ashita Anuga, Minh Nguyen, Dominick Perini, Andrei Svetovidov, Amanda Tolman, Qasim Wani, Feras A. Batarseh

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

Explainable Artificial Intelligence for Technology Policy Making Using Attribution Networks.

Feras A. Batarseh, Dominick Perini, Qasim Wani, Laura J. Freeman

Proceedings of the AIxIA 2021 - Advances in Artificial Intelligence, 2021

2020

Preventive healthcare policies in the US: solutions for disease management using Big Data Analytics.

Feras A. Batarseh, Iya Ghassib, Deri (Sondor) Chong, Po-Hsuan Su

J. Big Data, 2020

Panel: Economic Policy and Governance during Pandemics using AI.

Feras A. Batarseh, Munisamy Gopinath

CoRR, 2020

2019

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

Feras A. Batarseh, Ajay Kulkarni

CoRR, 2019

Application of Machine Learning in Forecasting International Trade Trends.

Feras Batarseh, Munisamy Gopinath, Ganesh Nalluru, Jayson Beckman

CoRR, 2019

Context-Driven Data Mining Through Bias Removal and Incompleteness Mitigation.

Feras Batarseh, Ajay Kulkarni

Proceedings of the 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning co-located with SIAM International Conference on Data Mining (SDM 2019), 2019

2018

Predicting failures in agile software development through data analytics.

Feras A. Batarseh, Avelino J. Gonzalez

Softw. Qual. J., 2018

Geo-Enabled Text Analytics through Sentiment Scoring and Hierarchical Clustering.

Feras A. Batarseh, Gayatri Nambiar, Gerald Gendron, Ruixin Yang

Proceedings of the 2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics), 2018

Augmenting Policy Making for Autonomous Vehicles Through Geoinformatics and Psychographics.

Feras A. Batarseh, Shruthi Chanthati, Nithin Kotte, Abhinav Kumar

Proceedings of the 2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics), 2018

2017

Context-Aware User Interfaces for Intelligent Emergency Applications.

Feras A. Batarseh, Jash Pithadia

Proceedings of the Modeling and Using Context, 2017

Intelligent methods for managing geospatial data at the US federal government.

Feras A. Batarseh, Ruixin Yang

Proceedings of the 2017 6th International Conference on Agro-Geoinformatics, 2017

2016

Assessing the Quality of Service Using Big Data Analytics: With Application to Healthcare.

Feras A. Batarseh, Eyad Abdel Latif

Big Data Res., 2016

2015

Validation of knowledge-based systems: a reassessment of the field.

Feras A. Batarseh, Avelino J. Gonzalez

Artif. Intell. Rev., 2015

2014

Context-Driven Testing on the Cloud.

Feras A. Batarseh

Proceedings of the Context in Computing, 2014

2013

Incremental Lifecycle Validation of Knowledge-Based Systems Through CommonKADS.

Feras Batarseh, Avelino J. Gonzalez

IEEE Trans. Syst. Man Cybern. Syst., 2013

Context-Assisted Test Cases Reduction for Cloud Validation.

Feras Batarseh, Avelino J. Gonzalez, Rainer Knauf

Proceedings of the Modeling and Using Context, 2013

2010

On the performance of fitness uniform selection for non-deceptive problems.

Ruben Ramirez-Padron, Feras Batarseh, Kyle Heyne, Annie S. Wu, Avelino J. Gonzalez

Proceedings of the 48th Annual Southeast Regional Conference, 2010

Java nano patterns: a set of reusable objects.

Feras Batarseh

Proceedings of the 48th Annual Southeast Regional Conference, 2010

2009

Adaptive Electronic Quizzing Method for Introductory Electrical Circuit Course.

Ruba Akram Amarin, Feras Batarseh, Issa Batarseh

Int. J. Online Eng., 2009