Ahmed Abbasi

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 46

Top Topics

Phishing Attacks

Top Venues

Inf. Syst. Res.

IEEE Intell. Syst.

Publications

John P. Lalor, Ahmed Abbasi, Kezia Oketch, Yi Yang, Nicole Forsgren
Should Fairness be a Metric or a Model? A Model-based Framework for Assessing Bias in Machine Learning Pipelines. ACM Trans. Inf. Syst. 42 (4) (2024)
Ruiyang Qin, Dancheng Liu, Zheyu Yan, Zhaoxuan Tan, Zixuan Pan, Zhenge Jia, Meng Jiang, Ahmed Abbasi, Jinjun Xiong, Yiyu Shi
Empirical Guidelines for Deploying LLMs onto Resource-constrained Edge Devices. CoRR (2024)
Ahmed Abbasi, Jeffrey Parsons, Gautam Pant, Olivia R. Liu Sheng, Suprateek Sarker
Pathways for Design Research on Artificial Intelligence. Inf. Syst. Res. 35 (2) (2024)
Ruiyang Qin, Yuting Hu, Zheyu Yan, Jinjun Xiong, Ahmed Abbasi, Yiyu Shi
FL-NAS: Towards Fairness of NAS for Resource Constrained Devices via Large Language Models. CoRR (2024)
Ahmed Abbasi, Robin Dillon, H. Raghav Rao, Olivia R. Liu Sheng
Preparedness and Response in the Century of Disasters: Overview of Information Systems Research Frontiers. Inf. Syst. Res. 35 (2) (2024)
Ruiyang Qin, Yuting Hu, Zheyu Yan, Jinjun Xiong, Ahmed Abbasi, Yiyu Shi
FL-NAS: Towards Fairness of NAS for Resource Constrained Devices via Large Language Models : (Invited Paper). ASPDAC (2024)
Zifan Jiang, Salman Seyedi, Emily Griner, Ahmed Abbasi, Ali Bahrami Rad, Hyeokhyen Kwon, Robert O. Cotes, Gari D. Clifford
Multimodal Mental Health Digital Biomarker Analysis From Remote Interviews Using Facial, Vocal, Linguistic, and Cardiovascular Patterns. IEEE J. Biomed. Health Informatics 28 (3) (2024)
Ahmed Abbasi, Roger H. L. Chiang, Jennifer J. Xu
Data Science for Social Good. CoRR (2023)
Ruiyang Qin, Jun Xia, Zhenge Jia, Meng Jiang, Ahmed Abbasi, Peipei Zhou, Jingtong Hu, Yiyu Shi
Enabling On-Device Large Language Model Personalization with Self-Supervised Data Selection and Synthesis. CoRR (2023)
Kai Yang, Raymond Y. K. Lau, Ahmed Abbasi
Getting Personal: A Deep Learning Artifact for Text-Based Measurement of Personality. Inf. Syst. Res. 34 (1) (2023)
Hanyu Duan, Yixuan Tang, Yi Yang, Ahmed Abbasi, Kar Yan Tam
Exploring the Relationship between In-Context Learning and Instruction Tuning. CoRR (2023)
Sriram Somanchi, Ahmed Abbasi, Ken Kelley, David G. Dobolyi, Ted Tao Yuan
Examining User Heterogeneity in Digital Experiments. ACM Trans. Inf. Syst. 41 (4) (2023)
Ahmed Abbasi, Roger H. L. Chiang, Jennifer Xu
Data Science for Social Good. J. Assoc. Inf. Syst. 24 (6) (2023)
Marialena Bevilacqua, Kezia Oketch, Ruiyang Qin, Will Stamey, Xinyuan Zhang, Yi Gan, Kai Yang, Ahmed Abbasi
When Automated Assessment Meets Automated Content Generation: Examining Text Quality in the Era of GPTs. CoRR (2023)
Yi Yang, Hanyu Duan, Ahmed Abbasi, John P. Lalor, Kar Yan Tam
Bias A-head? Analyzing Bias in Transformer-Based Language Model Attention Heads. CoRR (2023)
Yue Guo, Yi Yang, Ahmed Abbasi
Auto-Debias: Debiasing Masked Language Models with Automated Biased Prompts. ACL (1) (2022)
John Lalor, Yi Yang, Kendall Smith, Nicole Forsgren, Ahmed Abbasi
Benchmarking Intersectional Biases in NLP. NAACL-HLT (2022)
Faizan Ahmad, Ahmed Abbasi, Brent Kitchens, Donald A. Adjeroh, Daniel Zeng
Deep Learning for Adverse Event Detection From Web Search. IEEE Trans. Knowl. Data Eng. 34 (6) (2022)
Ahmed Abbasi, Abdul Rehman Javed, Amanullah Yasin, Zunera Jalil, Natalia Kryvinska, Usman Tariq
A Large-Scale Benchmark Dataset for Anomaly Detection and Rare Event Classification for Audio Forensics. IEEE Access 10 (2022)
Farkhund Iqbal, Ahmed Abbasi, Abdul Rehman Javed, Zunera Jalil, Jamal Al-Karaki
Deepfake Audio Detection Via Feature Engineering And Machine Learning. CIKM Workshops (2022)
Hanyu Duan, Yi Yang, Ahmed Abbasi, Kar Yan Tam
BARLE: Background-Aware Representation Learning for Background Shift Out-of-Distribution Detection. EMNLP (Findings) (2022)
Saminur Islam, Ahmed Abbasi, Nitin Agarwal, Wanhong Zheng, Gianfranco Doretto, Donald A. Adjeroh
Detecting Drug-Drug Interactions using Protein Sequence-Structure Similarity Networks. BIBM (2021)
Yan Chen, Fatemeh Mariam Zahedi, Ahmed Abbasi, David G. Dobolyi
Trust calibration of automated security IT artifacts: A multi-domain study of phishing-website detection tools. Inf. Manag. 58 (1) (2021)
Nicholas Berente, John P. Lalor, Sriram Somanchi, Ahmed Abbasi
The Illusion of Certainty and Data-Driven Decision Making in Emergent Situations. ICIS (2021)
Farkhund Iqbal, Rabia Batool, Benjamin C. M. Fung, Saiqa Aleem, Ahmed Abbasi, Abdul Rehman Javed
Toward Tweet-Mining Framework for Extracting Terrorist Attack-Related Information and Reporting. IEEE Access 9 (2021)
Ahmed Abbasi, David G. Dobolyi, Anthony Vance, Fatemeh Mariam Zahedi
The Phishing Funnel Model: A Design Artifact to Predict User Susceptibility to Phishing Websites. Inf. Syst. Res. 32 (2) (2021)
Ahmed Abbasi, David G. Dobolyi, John P. Lalor, Richard G. Netemeyer, Kendall Smith, Yi Yang
Constructing a Psychometric Testbed for Fair Natural Language Processing. EMNLP (1) (2021)
Ahmed Abbasi, Robin L. Dillon-Merrill, H. Raghav Rao, Olivia Sheng, Rui Chen
- Unleashing the Power of Information Technology for Strategic Management of Disasters. Inf. Syst. Res. 32 (4) (2021)
Faizan Ahmad, Ahmed Abbasi, Jingjing Li, David G. Dobolyi, Richard G. Netemeyer, Gari D. Clifford, Hsinchun Chen
A Deep Learning Architecture for Psychometric Natural Language Processing. ACM Trans. Inf. Syst. 38 (1) (2020)
Syed Hasan Amin Mahmood, Syed Mustafa Ali Abbasi, Ahmed Abbasi, Fareed Zaffar
Phishcasting: Deep Learning for Time Series Forecasting of Phishing Attacks. ISI (2020)
Syed Hasan Amin Mahmood, Ahmed Abbasi
Using Deep Generative Models to Boost Forecasting: A Phishing Prediction Case Study. ICDM (Workshops) (2020)
Ahmed Abbasi, David G. Dobolyi, Richard G. Netemeyer
Constructing a Testbed for Psychometric Natural Language Processing. CoRR (2020)
David G. Dobolyi, Ahmed Abbasi, F. Mariam Zahedi, Anthony Vance
An Ordinal Approach to Modeling and Visualizing Phishing Susceptibility. ISI (2020)
Jingjing Li, Kai R. Larsen, Ahmed Abbasi
TheoryOn: A Design Framework and System for Unlocking Behavioral Knowledge Through Ontology Learning. MIS Q. 44 (4) (2020)
Shasha Deng, Yilu Zhou, Pengzhu Zhang, Ahmed Abbasi
Using discussion logic in analyzing online group discussions: A text mining approach. Inf. Manag. 56 (4) (2019)
Ahmed Abbasi, Jingjing Li, Donald A. Adjeroh, Marie Abate, Wanhong Zheng
Don't Mention It? Analyzing User-Generated Content Signals for Early Adverse Event Warnings. Inf. Syst. Res. 30 (3) (2019)
Ahmed Abbasi, Yili Zhou, Shasha Deng, Pengzhu Zhang
Text Analytics to Support Sense-Making in Social Media: A Language-Action Perspective. MIS Q. 42 (2) (2018)
Brent Kitchens, David G. Dobolyi, Jingjing Li, Ahmed Abbasi
Advanced Customer Analytics: Strategic Value Through Integration of Relationship-Oriented Big Data. J. Manag. Inf. Syst. 35 (2) (2018)
David Zimbra, Ahmed Abbasi, Daniel Zeng, Hsinchun Chen
The State-of-the-Art in Twitter Sentiment Analysis: A Review and Benchmark Evaluation. ACM Trans. Manag. Inf. Syst. 9 (2) (2018)
Hameeduddin Irfan Khaja, Marie Abate, Wanhong Zheng, Ahmed Abbasi, Donald A. Adjeroh
Evaluating Semantic Similarity for Adverse Drug Event Narratives. SBP-BRiMS (2018)
Donald A. Adjeroh, Maen Allaga, Jun Tan, Jie Lin, Yue Jiang, Ahmed Abbasi, Xiaobo Zhou
String-Based Models for Predicting RNA-Protein Interaction. BCB (2017)
Ahmed Abbasi, Kevin Zhao, Brendan Abraham
A Prototype System for Collecting and Analyzing Credible Online Medical Content. DESRIST (2016)
David G. Dobolyi, Ahmed Abbasi
PhishMonger: A free and open source public archive of real-world phishing websites. ISI (2016)
Ahmed Abbasi, F. Mariam Zahedi, Yan Chen
Phishing susceptibility: The good, the bad, and the ugly. ISI (2016)
Jingjing Li, Kai R. Larsen, Ahmed Abbasi
TheoryOn: Designing a Construct-Based Search Engine to Reduce Information Overload for Behavioral Science Research. DESRIST (2016)
Ahmed Abbasi, Suprateek Sarker, Roger H. L. Chiang
Big Data Research in Information Systems: Toward an Inclusive Research Agenda. J. Assoc. Inf. Syst. 17 (2) (2016)
Donald E. Brown, Ahmed Abbasi, Raymond Y. K. Lau
Predictive [Guest editors' introduction]. IEEE Intell. Syst. 30 (2) (2015)
Donald E. Brown, Ahmed Abbasi, Raymond Y. K. Lau
Predictive Analytics: Predictive Modeling at the Micro Level. IEEE Intell. Syst. 30 (3) (2015)
Hashim Sharif, Saad Ismail, Shehroze Farooqi, Mohammad Taha Khan, Muhammad Ali Gulzar, Hasnain Lakhani, Fareed Zaffar, Ahmed Abbasi
A Classification Based Framework to Predict Viral Threads. PACIS (2015)
Fatemeh "Mariam" Zahedi, Ahmed Abbasi, Yan Chen
Fake-Website Detection Tools: Identifying Elements that Promote Individuals' Use and Enhance Their Performance. J. Assoc. Inf. Syst. 16 (6) (2015)
Ahmed Abbasi, Fatemeh "Mariam" Zahedi, Daniel Zeng, Yan Chen, Hsinchun Chen, Jay F. Nunamaker Jr.
Enhancing Predictive Analytics for Anti-Phishing by Exploiting Website Genre Information. J. Manag. Inf. Syst. 31 (4) (2015)
Ahmed Abbasi, Raymond Y. K. Lau, Donald E. Brown
Predicting Behavior. IEEE Intell. Syst. 30 (3) (2015)
Ahmed Abbasi, Weifeng Li, Victor A. Benjamin, Shiyu Hu, Hsinchun Chen
Descriptive Analytics: Examining Expert Hackers in Web Forums. JISIC (2014)
Victor A. Benjamin, Wingyan Chung, Ahmed Abbasi, Joshua Chuang, Catherine A. Larson, Hsinchun Chen
Evaluating text visualization for authorship analysis. Secur. Informatics 3 (1) (2014)
Ahmed Abbasi, Ammar Hassan, Milan Dhar
Benchmarking Twitter Sentiment Analysis Tools. LREC (2014)
Ahmed Abbasi, Donald A. Adjeroh, Mark Dredze, Michael J. Paul, Fatemeh "Mariam" Zahedi, Huimin Zhao, Nitin Walia, Hemant K. Jain, Patrick Sanvanson, Reza Shaker, Marco D. Huesch, Richard Beal, Wanhong Zheng, Marie Abate, Arun Ross
Social Media Analytics for Smart Health. IEEE Intell. Syst. 29 (2) (2014)
Ahmed Abbasi, Siddharth Kaza, F. Mariam Zahedi
Evaluating Link-Based Techniques for Detecting Fake Pharmacy Websites. CoRR (2013)
Richard Beal, Donald A. Adjeroh, Ahmed Abbasi
The Forward Stem Matrix: An Efficient Data Structure for Finding Hairpins in RNA Secondary Structures. BCB (2013)
Ahmed Abbasi, Tianjun Fu, Daniel Zeng, Donald A. Adjeroh
Crawling Credible Online Medical Sentiments for Social Intelligence. SocialCom (2013)
Ahmed Abbasi, Zhu Zhang, Hsinchun Chen
A Statistical Learning Based System for Fake Website Detection. CoRR (2013)
Ammar Hassan, Ahmed Abbasi, Daniel Zeng
Twitter Sentiment Analysis: A Bootstrap Ensemble Framework. SocialCom (2013)
Tianjun Fu, Ahmed Abbasi, Daniel Zeng, Hsinchun Chen
Evaluating the Usefulness of Sentiment Information for Focused Crawlers. CoRR (2013)
F. Mariam Zahedi, Ahmed Abbasi, Yan Chen
Design Elements that Promote the use of Fake Website Detection Tools. CoRR (2013)
Zhu Zhang, Daniel Zeng, Ahmed Abbasi, Jing Peng
A Random Walk Model for Item Recommendation in Folksonomies. CoRR (2013)
Zhu Zhang, Daniel Dajun Zeng, Ahmed Abbasi, Jing Peng, Xiaolong Zheng
A Random Walk Model for Item Recommendation in Social Tagging Systems. ACM Trans. Manag. Inf. Syst. 4 (2) (2013)
Victor A. Benjamin, Wingyan Chung, Ahmed Abbasi, Joshua Chuang, Catherine A. Larson, Hsinchun Chen
Evaluating text visualization: An experiment in authorship analysis. ISI (2013)
Ahmed Abbasi, Hsinchun Chen
Detecting Fake Escrow Websites using Rich Fraud Cues and Kernel Based Methods. CoRR (2013)
Ahmed Abbasi, Fatemeh Zahedi, Yan Chen
Impact of anti-phishing tool performance on attack success rates. ISI (2012)
Ahmed Abbasi, Fatemeh "Mariam" Zahedi, Siddharth Kaza
Detecting Fake Medical Web Sites Using Recursive Trust Labeling. ACM Trans. Inf. Syst. 30 (4) (2012)
Ahmed Abbasi, Conan Albrecht, Anthony Vance, James Hansen
MetaFraud: A Meta-Learning Framework for Detecting Financial Fraud. MIS Q. 36 (4) (2012)
Jason Koepke, Siddharth Kaza, Ahmed Abbasi
Exploratory experiments to identify fake websites by using features from the network stack. ISI (2012)
Tianjun Fu, Ahmed Abbasi, Daniel Zeng, Hsinchun Chen
Sentimental Spidering: Leveraging Opinion Information in Focused Crawlers. ACM Trans. Inf. Syst. 30 (4) (2012)
Stephen L. France, Ahmed Abbasi
Boosting Unsupervised Additive Clustering Using Cluster-Wise Optimization and Multi-label Learning. ICDM Workshops (2011)
Ahmed Abbasi, Stephen L. France, Zhu Zhang, Hsinchun Chen
Selecting Attributes for Sentiment Classification Using Feature Relation Networks. IEEE Trans. Knowl. Data Eng. 23 (3) (2011)
Yan Chen, Fatemeh "Mariam" Zahedi, Ahmed Abbasi
Interface Design Elements for Anti-phishing Systems. DESRIST (2011)
David Zimbra, Ahmed Abbasi, Hsinchun Chen
A Cyber-archaeology Approach to Social Movement Research: Framework and Case Study. J. Comput. Mediat. Commun. 16 (1) (2010)
Ahmed Abbasi
Intelligent Feature Selection for Opinion Classification. IEEE Intell. Syst. 25 (4) (2010)
Ahmed Abbasi, Zhu Zhang, David Zimbra, Hsinchun Chen, Jay F. Nunamaker Jr.
Detecting Fake Websites: The Contribution of Statistical Learning Theory. MIS Q. 34 (3) (2010)
Tianjun Fu, Ahmed Abbasi, Hsinchun Chen
A focused crawler for Dark Web forums. J. Assoc. Inf. Sci. Technol. 61 (6) (2010)
Ahmed Abbasi, Hsinchun Chen
A comparison of fraud cues and classification methods for fake escrow website detection. Inf. Technol. Manag. 10 (2-3) (2009)
Ahmed Abbasi, Hsinchun Chen
A Comparison of Tools for Detecting Fake Websites. Computer 42 (10) (2009)
Tianjun Fu, Ahmed Abbasi, Hsinchun Chen
A hybrid approach to Web forum interactional coherence analysis. J. Assoc. Inf. Sci. Technol. 59 (8) (2008)
Ahmed Abbasi, Hsinchun Chen
CyberGate: A Design Framework and System for Text Analysis of Computer-Mediated Communication. MIS Q. 32 (4) (2008)
Ahmed Abbasi, Hsinchun Chen, Arab Salem
Sentiment analysis in multiple languages: Feature selection for opinion classification in Web forums. ACM Trans. Inf. Syst. 26 (3) (2008)
Ahmed Abbasi, Hong-Mei Chen, Jay F. Nunamaker Jr.
Stylometric Identification in Electronic Markets: Scalability and Robustness. J. Manag. Inf. Syst. 25 (1) (2008)
Ahmed Abbasi, Hsinchun Chen
Writeprints: A stylometric approach to identity-level identification and similarity detection in cyberspace. ACM Trans. Inf. Syst. 26 (2) (2008)
Yi-Da Chen, Ahmed Abbasi, Hsinchun Chen
Developing ideological networks using social network analysis and writeprints: A case study of the international Falun Gong movement. ISI (2008)
Ahmed Abbasi, Hsinchun Chen, S. Thoms, Tianjun Fu
Affect Analysis of Web Forums and Blogs Using Correlation Ensembles. IEEE Trans. Knowl. Data Eng. 20 (9) (2008)
Tianjun Fu, Ahmed Abbasi, Hsinchun Chen
Interaction Coherence Analysis for Dark Web Forums. ISI (2007)
Ahmed Abbasi, Hsinchun Chen
Categorization and analysis of text in computer mediated communication archives using visualization. JCDL (2007)
Ahmed Abbasi, Hsinchun Chen
A Framework for Stylometric Similarity Detection in Online Settings. AMCIS (2007)
Ahmed Abbasi, Hsinchun Chen
Affect Intensity Analysis of Dark Web Forums. ISI (2007)
Ahmed Abbasi, Hsinchun Chen
Visualizing Authorship for Identification. ISI (2006)
Ahmed Abbasi, Hsinchun Chen
Applying Authorship Analysis to Arabic Web Content. ISI (2005)
Ahmed Abbasi, Hsinchun Chen
Applying Authorship Analysis to Extremist-Group Web Forum Messages. IEEE Intell. Syst. 20 (5) (2005)