13 citations · 26 across the 18 of their papers we have counts for
18 papers
Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data
Shaina Raza, Drai Paulen-Patterson, Chen Ding
Fake news poses a significant threat to public opinion and social stability in modern society. This study presents a comparative evaluation of BERT-like encoder-only models and aut…
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…
Mitigating Bias in Conversations: A Hate Speech Classifier and Debiaser with Prompts
Shaina Raza, Chen Ding, Deval Pandya
Discriminatory language and biases are often present in hate speech during conversations, which usually lead to negative impacts on targeted groups such as those based on race, gen…
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…
Connecting Fairness in Machine Learning with Public Health Equity
Shaina Raza
Machine learning (ML) has become a critical tool in public health, offering the potential to improve population health, diagnosis, treatment selection, and health system efficiency…
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…
Dbias: Detecting biases and ensuring Fairness in news articles
Shaina Raza, Deepak John Reji, Chen Ding
Because of the increasing use of data-centric systems and algorithms in machine learning, the topic of fairness is receiving a lot of attention in the academic and broader literatu…
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…
A Machine Learning Model for Predicting, Diagnosing, and Mitigating Health Disparities in Hospital Readmission
Shaina Raza
The management of hyperglycemia in hospitalized patients has a significant impact on both morbidity and mortality. Therefore, it is important to predict the need for diabetic patie…
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…
A Biomedical Pipeline to Detect Clinical and Non-Clinical Named Entities
Shaina Raza, Brian Schwartz
There are a few challenges related to the task of biomedical named entity recognition, which are: the existing methods consider a fewer number of biomedical entities (e.g., disease…
A COVID-19 Search Engine (CO-SE) with Transformer-based Architecture
Shaina Raza
Coronavirus disease (COVID-19) is an infectious disease, which is caused by the SARS-CoV-2 virus. Due to the growing literature on COVID-19, it is hard to get precise, up-to-date i…
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…
A News Recommender System Considering Temporal Dynamics and Diversity
Shaina Raza
In a news recommender system, a reader's preferences change over time. Some preferences drift quite abruptly (short-term preferences), while others change over a longer period of t…
Deep Dynamic Neural Network to trade-off between Accuracy and Diversity in a News Recommender System
Shaina Raza, Chen Ding
The news recommender systems are marked by a few unique challenges specific to the news domain. These challenges emerge from rapidly evolving readers' interests over dynamically ge…
News Recommender System: A review of recent progress, challenges, and opportunities
Shaina Raza, Chen Ding
Nowadays, more and more news readers tend to read news online where they have access to millions of news articles from multiple sources. In order to help users to find the right an…