5 citations · 8 across the 10 of their papers we have counts for
12 papers
VLDBench Evaluating Multimodal Disinformation with Regulatory Alignment
Shaina Raza, Ashmal Vayani, Aditya Jain +8
Detecting disinformation that blends manipulated text and images has become increasingly challenging, as AI tools make synthetic content easy to generate and disseminate. While mos…
A Narrative Review of Identity, Data, and Location Privacy Techniques in Edge Computing and Mobile Crowdsourcing
Syed Raza Bashir, Shaina Raza, Vojislav Misic
As digital technology advances, the proliferation of connected devices poses significant challenges and opportunities in mobile crowdsourcing and edge computing. This narrative rev…
NBIAS: A Natural Language Processing Framework for Bias Identification in Text
Shaina Raza, Muskan Garg, Deepak John Reji +2
Bias in textual data can lead to skewed interpretations and outcomes when the data is used. These biases could perpetuate stereotypes, discrimination, or other forms of unfair trea…
Fairness in Machine Learning meets with Equity in Healthcare
Shaina Raza, Parisa Osivand Pour, Syed Raza Bashir
With the growing utilization of machine learning in healthcare, there is increasing potential to enhance healthcare outcomes. However, this also brings the risk of perpetuating bia…
Auditing ICU Readmission Rates in an Clinical Database: An Analysis of Risk Factors and Clinical Outcomes
Shaina Raza
This study presents a machine learning (ML) pipeline for clinical data classification in the context of a 30-day readmission problem, along with a fairness audit on subgroups based…
Leveraging Foundation Models for Clinical Text Analysis
Shaina Raza, Syed Raza Bashir
Infectious diseases are a significant public health concern globally, and extracting relevant information from scientific literature can facilitate the development of effective pre…
Addressing Biases in the Texts using an End-to-End Pipeline Approach
Shaina Raza, Syed Raza Bashir, Sneha +1
The concept of fairness is gaining popularity in academia and industry. Social media is especially vulnerable to media biases and toxic language and comments. We propose a fair ML…
BERT4Loc: BERT for Location -- POI Recommender System
Syed Raza Bashir, Shaina Raza, Vojislav Misic
Recommending points of interest (POIs) is a challenging task that requires extracting comprehensive location data from location-based social media platforms. To provide effective l…
An Approach to Ensure Fairness in News Articles
Shaina Raza, Deepak John Reji, Dora D. Liu +2
Recommender systems, information retrieval, and other information access systems present unique challenges for examining and applying concepts of fairness and bias mitigation in un…
Improving Rating and Relevance with Point-of-Interest Recommender System
Syed Raza Bashir, Vojislav Misic
The recommendation of points of interest (POIs) is essential in location-based social networks. It makes it easier for users and locations to share information. Recently, researche…
A Summary of COVID-19 Datasets
Syed Raza Bashir, Shaina Raza, Vidhi Thakkar +1
This research presents a review of main datasets that are developed for COVID-19 research. We hope this collection will continue to bring together members of the computing communit…
Detecting Fake Points of Interest from Location Data
Syed Raza Bashir, Vojislav Misic
The pervasiveness of GPS-enabled mobile devices and the widespread use of location-based services have resulted in the generation of massive amounts of geo-tagged data. In recent t…