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2020 – today
- 2024
[i18]Ajay Kulkarni, Yingjie Wang, Munisamy Gopinath, Dan Sobien, Abdul Rahman, Feras A. Batarseh:
A Review of Cybersecurity Incidents in the Food and Agriculture Sector. CoRR abs/2403.08036 (2024)- 2023
- [j11]Feras A. Batarseh
, Ajay Kulkarni:
AI for Water. Computer 56(3): 109-113 (2023) - [j10]Matthew Wilchek, Will Hanley, Jude Lim, Kurt Luther, Feras A. Batarseh:
Human-in-the-loop for computer vision assurance: A survey. Eng. Appl. Artif. Intell. 123(Part B): 106376 (2023) - [j9]Sai Gurrapu, Ajay Kulkarni, Lifu Huang, Ismini Lourentzou, Feras A. Batarseh:
Rationalization for explainable NLP: a survey. Frontiers Artif. Intell. 6 (2023) - [i17]Sai Gurrapu, Ajay Kulkarni, Lifu Huang, Ismini Lourentzou, Laura J. Freeman, Feras A. Batarseh:
Rationalization for Explainable NLP: A Survey. CoRR abs/2301.08912 (2023) - [i16]Sai Gurrapu, Lifu Huang, Feras A. Batarseh:
ExClaim: Explainable Neural Claim Verification Using Rationalization. CoRR abs/2301.08914 (2023) - [i15]Feras A. Batarseh, Ajay Kulkarni, Chhayly Sreng, Justice Lin, Siam Maksud:
ACWA: An AI-driven Cyber-Physical Testbed for Intelligent Water Systems. CoRR abs/2310.17654 (2023) - 2022
- [j8]Laura J. Freeman, Feras A. Batarseh, D. Richard Kuhn, M. S. Raunak, Raghu N. Kacker:
The Path to a Consensus on Artificial Intelligence Assurance. Computer 55(3): 82-86 (2022) - [c16]Jaganmohan Chandrasekaran, Feras A. Batarseh, Laura J. Freeman, Raghu Kacker, M. S. Raunak, Rick Kuhn:
Enabling AI Adoption through Assurance. FLAIRS 2022 - [c15]Wan-Yi Mao, Mehmet Yardimci, Minh Nguyen, Dan Sobien, Laura J. Freeman, Feras A. Batarseh, Abdul Rahman, Vinita Fordham:
Trustworthy AI Solutions for Cyberbiosecurity Challenges in Water Supply Systems. FLAIRS 2022 - [i14]Feras A. Batarseh:
Cybersecurity Law: Legal Jurisdiction and Authority. CoRR abs/2206.09465 (2022) - [i13]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:
Proceedings of AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges. CoRR abs/2212.13631 (2022) - 2021
- [j7]Feras A. Batarseh, Laura J. Freeman, Chih-Hao Huang:
A survey on artificial intelligence assurance. J. Big Data 8(1): 1-30 (2021) - [c14]Feras A. Batarseh, Dominick Perini, Qasim Wani, Laura J. Freeman:
Explainable Artificial Intelligence for Technology Policy Making Using Attribution Networks. AI*IA 2021: 624-637 - [c13]Ashita Anuga, Minh Nguyen, Dominick Perini, Andrei Svetovidov, Amanda Tolman, Qasim Wani, Feras A. Batarseh:
Technology Policy Recommendations Using Artificial Intelligence. FLAIRS 2021 - [c12]Feras A. Batarseh, Chih-Hao Huang:
Measuring Outcomes in Healthcare Economics using Artificial Intelligence: with Application to Resource Allocation. FLAIRS 2021 - [c11]Sai Gurrapu, Nazmul Sikder, Pei Wang, Nitish Gorentala, Madison Williams, Feras A. Batarseh:
Applications of Machine Learning For Precision Agriculture and Smart Farming. FLAIRS 2021 - [c10]Anderson Monken, Flora Haberkorn, Munisamy Gopinath, Laura J. Freeman, Feras A. Batarseh:
Graph Neural Networks for Modeling Causality in International Trade. FLAIRS 2021 - [c9]Sai Gurrapu, Feras A. Batarseh, Pei Wang, Md. Nazmul Kabir Sikder, Nitish Gorentala, Munisamy Gopinath:
DeepAg: Deep Learning Approach for Measuring the Effects of Outlier Events on Agricultural Production and Policy. SSCI 2021: 1-8 - [i12]Ajay Kulkarni, Deri Chong, Feras A. Batarseh:
Foundations of data imbalance and solutions for a data democracy. CoRR abs/2108.00071 (2021) - [i11]Feras A. Batarseh, Rasika Mohod, Abhinav Kumar, Justin Bui:
The application of artificial intelligence in software engineering: a review challenging conventional wisdom. CoRR abs/2108.01591 (2021) - [i10]Feras A. Batarseh, Abhinav Kumar, Sam Eisenberg:
The history and future prospects of open data and open source software. CoRR abs/2108.01592 (2021) - [i9]Sai Gurrapu, Feras A. Batarseh, Pei Wang, Md. Nazmul Kabir Sikder, Nitish Gorentala, Munisamy Gopinath:
DeepAg: Deep Learning Approach for Measuring the Effects of Outlier Events on Agricultural Production and Policy. CoRR abs/2110.12062 (2021) - [i8]Chih-Hao Huang, Feras A. Batarseh, Adel Boueiz, Ajay Kulkarni, Po-Hsuan Su, Jahan Aman:
Measuring Outcomes in Healthcare Economics using Artificial Intelligence: with Application to Resource Management. CoRR abs/2111.07503 (2021) - [i7]Feras A. Batarseh, Laura J. Freeman:
A Survey on AI Assurance. CoRR abs/2111.07505 (2021) - [i6]Feras A. Batarseh, Munisamy Gopinath, Anderson Monken, Zhengrong Gu:
Public Policymaking for International Agricultural Trade using Association Rules and Ensemble Machine Learning. CoRR abs/2111.07508 (2021) - [i5]Md. Nazmul Kabir Sikder, Feras A. Batarseh:
Outlier Detection using AI: A Survey. CoRR abs/2112.00588 (2021) - [i4]Andrei Svetovidov, Abdul Rahman, Feras A. Batarseh:
AI Assurance using Causal Inference: Application to Public Policy. CoRR abs/2112.00591 (2021) - 2020
- [j6]Feras A. Batarseh, Iya Ghassib, Deri (Sondor) Chong, Po-Hsuan Su:
Preventive healthcare policies in the US: solutions for disease management using Big Data Analytics. J. Big Data 7(1): 38 (2020) - [i3]Feras A. Batarseh, Munisamy Gopinath:
Panel: Economic Policy and Governance during Pandemics using AI. CoRR abs/2010.15585 (2020)
2010 – 2019
- 2019
- [c8]Feras Batarseh, Ajay Kulkarni:
Context-Driven Data Mining Through Bias Removal and Incompleteness Mitigation. EDML@SDM 2019: 24-30 - [i2]Feras Batarseh, Munisamy Gopinath, Ganesh Nalluru, Jayson Beckman:
Application of Machine Learning in Forecasting International Trade Trends. CoRR abs/1910.03112 (2019) - [i1]Feras A. Batarseh, Ajay Kulkarni:
Context-Driven Data Mining through Bias Removal and Data Incompleteness Mitigation. CoRR abs/1910.08670 (2019) - 2018
- [j5]Feras A. Batarseh, Avelino J. Gonzalez:
Predicting failures in agile software development through data analytics. Softw. Qual. J. 26(1): 49-66 (2018) - [c7]Feras A. Batarseh, Shruthi Chanthati, Nithin Kotte, Abhinav Kumar:
Augmenting Policy Making for Autonomous Vehicles Through Geoinformatics and Psychographics. Agro-Geoinformatics 2018: 1-5 - [c6]Feras A. Batarseh, Gayatri Nambiar, Gerald Gendron, Ruixin Yang:
Geo-Enabled Text Analytics through Sentiment Scoring and Hierarchical Clustering. Agro-Geoinformatics 2018: 1-4 - 2017
- [c5]Feras A. Batarseh, Ruixin Yang:
Intelligent methods for managing geospatial data at the US federal government. Agro-Geoinformatics 2017: 1-5 - [c4]Feras A. Batarseh, Jash Pithadia:
Context-Aware User Interfaces for Intelligent Emergency Applications. CONTEXT 2017: 359-369 - 2016
- [j4]Feras A. Batarseh, Eyad Abdel Latif:
Assessing the Quality of Service Using Big Data Analytics: With Application to Healthcare. Big Data Res. 4: 13-24 (2016) - 2015
- [j3]Feras A. Batarseh, Avelino J. Gonzalez:
Validation of knowledge-based systems: a reassessment of the field. Artif. Intell. Rev. 43(4): 485-500 (2015) - 2014
- [p1]Feras A. Batarseh:
Context-Driven Testing on the Cloud. Context in Computing 2014: 25-44 - 2013
- [j2]Feras Batarseh, Avelino J. Gonzalez:
Incremental Lifecycle Validation of Knowledge-Based Systems Through CommonKADS. IEEE Trans. Syst. Man Cybern. Syst. 43(3): 643-654 (2013) - [c3]Feras Batarseh, Avelino J. Gonzalez, Rainer Knauf:
Context-Assisted Test Cases Reduction for Cloud Validation. CONTEXT 2013: 288-301 - 2010
- [c2]Ruben Ramirez-Padron, Feras Batarseh, Kyle Heyne, Annie S. Wu, Avelino J. Gonzalez:
On the performance of fitness uniform selection for non-deceptive problems. ACM Southeast Regional Conference 2010: 32 - [c1]Feras Batarseh:
Java nano patterns: a set of reusable objects. ACM Southeast Regional Conference 2010: 60
2000 – 2009
- 2009
- [j1]Ruba Akram Amarin, Feras Batarseh, Issa Batarseh:
Adaptive Electronic Quizzing Method for Introductory Electrical Circuit Course. Int. J. Online Eng. 5(3): 4-7 (2009)
Coauthor Index
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