Shaina Raza

Orcid: 0000-0003-1061-5845

According to our database1, Shaina Raza authored at least 46 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Nbias: A natural language processing framework for BIAS identification in text.
Expert Syst. Appl., March, 2024

Bias Reduction News Recommendation System.
Digit., March, 2024

Dbias: detecting biases and ensuring fairness in news articles.
Int. J. Data Sci. Anal., January, 2024

Equity in Healthcare: Analyzing Disparities in Machine Learning Predictions of Diabetic Patient Readmissions.
CoRR, 2024

FakeWatch: A Framework for Detecting Fake News to Ensure Credible Elections.
CoRR, 2024

Progress in Privacy Protection: A Review of Privacy Preserving Techniques in Recommender Systems, Edge Computing, and Cloud Computing.
CoRR, 2024

FAIR Enough: How Can We Develop and Assess a FAIR-Compliant Dataset for Large Language Models' Training?
CoRR, 2024

Reliability Analysis of Psychological Concept Extraction and Classification in User-penned Text.
CoRR, 2024

2023
Entity and relation extraction from clinical case reports of COVID-19: a natural language processing approach.
BMC Medical Informatics Decis. Mak., December, 2023

Arabic text detection: a survey of recent progress challenges and opportunities.
Appl. Intell., December, 2023

BERT4Loc: BERT for Location - POI Recommender System.
Future Internet, June, 2023

Analyzing the Impact of Fake News on the Anticipated Outcome of the 2024 Election Ahead of Time.
CoRR, 2023

FakeWatch ElectionShield: A Benchmarking Framework to Detect Fake News for Credible US Elections.
CoRR, 2023

Navigating News Narratives: A Media Bias Analysis Dataset.
CoRR, 2023

Design-Inclusive Language Models for Responsible Information Access.
CoRR, 2023

Unlocking Bias Detection: Leveraging Transformer-Based Models for Content Analysis.
CoRR, 2023

Mitigating Bias in Conversations: A Hate Speech Classifier and Debiaser with Prompts.
CoRR, 2023

Fairness in Machine Learning meets with Equity in Healthcare.
CoRR, 2023

Auditing ICU Readmission Rates in an Clinical Database: An Analysis of Risk Factors and Clinical Outcomes.
CoRR, 2023

Auditing ICU Readmission Rates in an Clinical Database: An Analysis of Risk Factors and Clinical Outcomes.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Leveraging Foundation Models for Clinical Text Analysis.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Connecting Fairness in Machine Learning with Public Health Equity.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Addressing Biases in the Texts Using an End-to-End Pipeline Approach.
Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2023

PLNCC: Leveraging New Data Features for Enhanced Accuracy of Fake News Detection.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

2022
Fake news detection based on news content and social contexts: a transformer-based approach.
Int. J. Data Sci. Anal., 2022

An Approach to Ensure Fairness in News Articles.
CoRR, 2022

A Biomedical Pipeline to Detect Clinical and Non-Clinical Named Entities.
CoRR, 2022

Mitigating health disparities in hospital readmissions.
CoRR, 2022

A COVID-19 Search Engine (CO-SE) with Transformer-based Architecture.
CoRR, 2022

A Summary of COVID-19 Datasets.
CoRR, 2022

CoQUAD: a COVID-19 question answering dataset system, facilitating research, benchmarking, and practice.
BMC Bioinform., 2022

News recommender system: a review of recent progress, challenges, and opportunities.
Artif. Intell. Rev., 2022

Relevancy and Diversity in News Recommendations.
Proceedings of the Joint Proceedings of the 10th International Workshop on News Recommendation and Analytics (INRA 2022) and the 3rd International Workshop on Investigating Learning During Web Search (IWILDS 2022) co-located with 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), 2022

Detecting Biomedical Named Entities in COVID-19 Texts.
Proceedings of the 1st Workshop on Healthcare AI and COVID-19, 2022

Incorporating Accuracy and Diversity in a News Recommender System.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

A Question-Answering System on COVID-19 Scientific Literature.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

Accuracy meets Diversity in a News Recommender System.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Incorporating Medical Knowledge to Transformer-based Language Models for Medical Dialogue Generation.
Proceedings of the 21st Workshop on Biomedical Language Processing, 2022

2021
A News Recommender System Considering Temporal Dynamics and Diversity.
CoRR, 2021

Deep Dynamic Neural Network to trade-off between Accuracy and Diversity in a News Recommender System.
CoRR, 2021

Balanced News Neural Network for a News Recommender System.
Proceedings of the 2021 International Conference on Data Mining, 2021

Deep Neural Network to Tradeoff between Accuracy and Diversity in a News Recommender System.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
A survey on news recommender system - Dealing with timeliness, dynamic user interest and content quality, and effects of recommendation on news readers.
CoRR, 2020

A Regularized Model to Trade-off between Accuracy and Diversity in a News Recommender System.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Progress in context-aware recommender systems - An overview.
Comput. Sci. Rev., 2019

News Recommender System Considering Temporal Dynamics and News Taxonomy.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019


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