9 citations · 38 across the 11 of their papers we have counts for
11 papers
When Automated Assessment Meets Automated Content Generation: Examining Text Quality in the Era of GPTs
Marialena Bevilacqua, Kezia Oketch, Ruiyang Qin +5
The use of machine learning (ML) models to assess and score textual data has become increasingly pervasive in an array of contexts including natural language processing, informatio…
Alternating minimization algorithm with initialization analysis for r-local and k-sparse unlabeled sensing
Ahmed Abbasi, Shuchin Aeron, Abiy Tasissa
Unlabeled sensing is a linear inverse problem with permuted measurements. We propose an alternating minimization (AltMin) algorithm with a suitable initialization for two widely co…
r-local sensing: Improved algorithm and applications
Ahmed Ali Abbasi, Abiy Tasissa, Shuchin Aeron
The unlabeled sensing problem is to solve a noisy linear system of equations under unknown permutation of the measurements. We study a particular case of the problem where the perm…
Constructing a Testbed for Psychometric Natural Language Processing
Ahmed Abbasi, David G. Dobolyi, Richard G. Netemeyer
Psychometric measures of ability, attitudes, perceptions, and beliefs are crucial for understanding user behaviors in various contexts including health, security, e-commerce, and f…
R-local unlabeled sensing: A novel graph matching approach for multiview unlabeled sensing under local permutations
Ahmed Abbasi, Abiy Tasissa, Shuchin Aeron
Unlabeled sensing is a linear inverse problem where the measurements are scrambled under an unknown permutation leading to loss of correspondence between the measurements and the r…
A Random Walk Model for Item Recommendation in Folksonomies
Zhu Zhang, Daniel Zeng, Ahmed Abbasi +1
Social tagging, as a novel approach to information organization and discovery, has been widely adopted in many Web2.0 applications. The tags provide a new type of information that…
A Statistical Learning Based System for Fake Website Detection
Ahmed Abbasi, Zhu Zhang, Hsinchun Chen
Existing fake website detection systems are unable to effectively detect fake websites. In this study, we advocate the development of fake website detection systems that employ cla…
Evaluating the Usefulness of Sentiment Information for Focused Crawlers
Tianjun Fu, Ahmed Abbasi, Daniel Zeng +1
Despite the prevalence of sentiment-related content on the Web, there has been limited work on focused crawlers capable of effectively collecting such content. In this study, we ev…
Evaluating Link-Based Techniques for Detecting Fake Pharmacy Websites
Ahmed Abbasi, Siddharth Kaza, F. Mariam Zahedi
Fake online pharmacies have become increasingly pervasive, constituting over 90% of online pharmacy websites. There is a need for fake website detection techniques capable of ident…
Design Elements that Promote the use of Fake Website Detection Tools
F. Mariam Zahedi, Ahmed Abbasi, Yan Chen
Fake websites have emerged as a major source of online fraud, accounting for billions of dollars of loss by Internet users. We explore the process by which salient design elements…
Detecting Fake Escrow Websites using Rich Fraud Cues and Kernel Based Methods
Ahmed Abbasi, Hsinchun Chen
The ability to automatically detect fraudulent escrow websites is important in order to alleviate online auction fraud. Despite research on related topics, fake escrow website cate…