Shaina Raza

According to our database, Shaina Raza authored at least 73 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Who is Responsible? The Data, Models, Users or Regulations? Responsible Generative AI for a Sustainable Future.

Shaina Raza, Rizwan Qureshi, Anam Zahid, Joseph Fioresi, Ferhat Sadak, Muhammad Saeed, Ranjan Sapkota, Aditya Jain, Anas Zafar, Muneeb Ul Hassan, Aizan Zafar, Hasan Maqbool, Ashmal Vayani, Jia Wu, Maged Shoman

CoRR, February, 2025

Perceived Confidence Scoring for Data Annotation with Zero-Shot LLMs.

Sina Salimian, Gias Uddin, Most Husne Jahan, Shaina Raza

CoRR, February, 2025

FairUDT: Fairness-aware Uplift Decision Trees.

Anam Zahid, Abdur Rehman, Shaina Raza, Rai Shahnawaz, Faisal Kamiran, Asim Karim

CoRR, February, 2025

Image, Text, and Speech Data Augmentation using Multimodal LLMs for Deep Learning: A Survey.

Ranjan Sapkota, Shaina Raza, Maged Shoman, Paudel Achyut, Manoj Karkee

CoRR, January, 2025

Academic Case Reports Lack Diversity: Assessing the Presence and Diversity of Sociodemographic and Behavioral Factors related to Post COVID-19 Condition.

Juan Andres Medina Florez, Shaina Raza, Rashida Lynn, Zahra Shakeri, Brendan T. Smith, Elham Dolatabadi

CoRR, January, 2025

EQUATOR: A Deterministic Framework for Evaluating LLM Reasoning with Open-Ended Questions. # v1.0.0-beta.

Raymond Bernard, Shaina Raza, Subhabrata Das, Rahul Murugan

CoRR, January, 2025

RESPECT: A framework for promoting inclusive and respectful conversations in online communications.

Shaina Raza, Abdullah Yahya Mohammed Muaad, Emrul Hasan, Muskan Garg, Zainab Al-Zanbouri, Syed Raza Bashir

Nat. Lang. Process. J., 2025

FairUDT: Fairness-aware Uplift Decision Trees.

Anam Zahid, Abdur Rehman Ali, Shaina Raza, Rai Shahnawaz, Faisal Kamiran, Asim Karim

Knowl. Based Syst., 2025

2024

FakeWatch[inline-graphic not available: see fulltext]: a framework for detecting fake news to ensure credible elections.

Shaina Raza, Tahniat Khan, Veronica Chatrath, Drai Paulen-Patterson, Mizanur Rahman, Oluwanifemi Bamgbose

Soc. Netw. Anal. Min., December, 2024

PL-NCC: a novel approach for fake news detection through data augmentation.

Keshopan Arunthavachelvan, Shaina Raza, Chen (Cherie) Ding, Emrul Hasan

Soc. Netw. Anal. Min., December, 2024

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

Shaina Raza, Oluwanifemi Bamgbose, Veronica Chatrath, Shardul Ghuge, Yan Sidyakin, Abdullah Yahya Mohammed Muaad

IEEE Trans. Comput. Soc. Syst., October, 2024

A deep neural network approach for fake news detection using linguistic and psychological features.

Keshopan Arunthavachelvan, Shaina Raza, Chen Ding

User Model. User Adapt. Interact., September, 2024

Nbias: A natural language processing framework for BIAS identification in text.

Shaina Raza, Muskan Garg, Deepak John Reji, Syed Raza Bashir, Chen Ding

Expert Syst. Appl., March, 2024

Bias Reduction News Recommendation System.

Shaina Raza

Digit., March, 2024

Dbias: detecting biases and ensuring fairness in news articles.

Shaina Raza, Deepak John Reji, Chen Ding

Int. J. Data Sci. Anal., January, 2024

Improving Clinical Decision Making With a Two-Stage Recommender System.

Shaina Raza, Chen Ding

IEEE ACM Trans. Comput. Biol. Bioinform., 2024

HarmonyNet: Navigating hate speech detection.

Shaina Raza, Veronica Chatrath

Nat. Lang. Process. J., 2024

MultiWD: Multi-label wellness dimensions in social media posts.

Muskan Garg, Xingyi Liu, MSVPJ Sathvik, Shaina Raza, Sunghwan Sohn

J. Biomed. Informatics, 2024

An Intelligent COVID-19-Related Arabic Text Detection Framework Based on Transfer Learning Using Context Representation.

Abdullah Yahya Mohammed Muaad, Shaina Raza, Md Belal Bin Heyat, Amerah A. Alabrah, Hanumanthappa J

Int. J. Intell. Syst., 2024

ViLBias: A Framework for Bias Detection using Linguistic and Visual Cues.

Shaina Raza, Caesar Saleh, Emrul Hasan, Franklin Ogidi, Maximus Powers, Veronica Chatrath, Marcelo Lotif, Roya Javadi, Anam Zahid, Vahid Reza Khazaie

CoRR, 2024

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

CoRR, 2024

Fact or Fiction? Can LLMs be Reliable Annotators for Political Truths?

Veronica Chatrath, Marcelo Lotif, Shaina Raza

CoRR, 2024

Desert Camels and Oil Sheikhs: Arab-Centric Red Teaming of Frontier LLMs.

Muhammed Saeed, Elgizouli Mohamed, Mukhtar Mohamed, Shaina Raza, Shady Shehata, Muhammad Abdul-Mageed

CoRR, 2024

A Comprehensive Review of Recommender Systems: Transitioning from Theory to Practice.

Shaina Raza, Mizanur Rahman, Safiullah Kamawal, Armin Toroghi, Ananya Raval, Farshad Navah, Amirmohammad Kazemeini

CoRR, 2024

Practical Guide for Causal Pathways and Sub-group Disparity Analysis.

Farnaz Kohankhaki, Shaina Raza, Oluwanifemi Bamgbose, Deval Pandya, Elham Dolatabadi

CoRR, 2024

BEADs: Bias Evaluation Across Domains.

Shaina Raza, Mizanur Rahman, Michael R. Zhang

CoRR, 2024

Review-based Recommender Systems: A Survey of Approaches, Challenges and Future Perspectives.

Emrul Hasan, Mizanur Rahman, Chen Ding, Jimmy Xiangji Huang, Shaina Raza

CoRR, 2024

Developing Safe and Responsible Large Language Models - A Comprehensive Framework.

Shaina Raza, Oluwanifemi Bamgbose, Shardul Ghuge, Fatemeh Tavakoli, Deepak John Reji

CoRR, 2024

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

Shaina Raza, Tahniat Khan, Drai Paulen-Patterson, Veronica Chatrath, Mizanur Rahman, Oluwanifemi Bamgbose

CoRR, 2024

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

Syed Raza Bashir, Shaina Raza, Vojislav B. Misic

CoRR, 2024

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

Shaina Raza, Shardul Ghuge, Chen Ding, Deval Pandya

CoRR, 2024

Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review.

Shaina Raza, Arash Shaban-Nejad, Elham Dolatabadi, Hiroshi Mamiya

IEEE Access, 2024

MBIAS: Mitigating Bias in Large Language Models While Retaining Context.

Shaina Raza, Ananya Raval, Veronica Chatrath

Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, 2024

Reliability Analysis of Psychological Concept Extraction and Classification in User-Penned Text.

Muskan Garg, MSVPJ Sathvik, Shaina Raza, Amrit Chadha, Sunghwan Sohn

Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

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

Zainab Al-Zanbouri, Gauri Sharma, Shaina Raza

Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

Dataset Annotation and Model Building for Identifying Biases in News Narratives.

Shaina Raza, Mizanur Rahman, Shardul Ghuge

Proceedings of Text2Story, 2024

2023

Entity and relation extraction from clinical case reports of COVID-19: a natural language processing approach.

Shaina Raza, Brian Schwartz

BMC Medical Informatics Decis. Mak., December, 2023

Arabic text detection: a survey of recent progress challenges and opportunities.

Abdullah Yahya Mohammed Muaad, Shaina Raza, Usman Naseem, Hanumanthappa J. Jayappa Davanagere

Appl. Intell., December, 2023

BERT4Loc: BERT for Location - POI Recommender System.

Syed Raza Bashir, Shaina Raza, Vojislav B. Misic

Future Internet, June, 2023

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

Shaina Raza, Mizanur Rahman, Shardul Ghuge

CoRR, 2023

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

Tahniat Khan, Mizanur Rahman, Veronica Chatrath, Oluwanifemi Bamgbose, Shaina Raza

CoRR, 2023

Navigating News Narratives: A Media Bias Analysis Dataset.

Shaina Raza

CoRR, 2023

Design-Inclusive Language Models for Responsible Information Access.

Veronica Chatrath, Oluwanifemi Bamgbose, Shaina Raza

CoRR, 2023

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

Shaina Raza, Chen Ding, Deval Pandya

CoRR, 2023

Fairness in Machine Learning meets with Equity in Healthcare.

Shaina Raza, Parisa Osivand Pour, Syed Raza Bashir

CoRR, 2023

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

Shaina Raza

CoRR, 2023

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

Shaina Raza, Syed Raza Bashir

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Leveraging Foundation Models for Clinical Text Analysis.

Shaina Raza, Syed Raza Bashir

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Connecting Fairness in Machine Learning with Public Health Equity.

Shaina Raza

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Addressing Biases in the Texts Using an End-to-End Pipeline Approach.

Shaina Raza, Syed Raza Bashir, Sneha, Urooj Qamar

Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2023

PLNCC: Leveraging New Data Features for Enhanced Accuracy of Fake News Detection.

Keshopan Arunthavachelvan, Shaina Raza, Chen Ding

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.

Shaina Raza, Chen Ding

Int. J. Data Sci. Anal., 2022

An Approach to Ensure Fairness in News Articles.

Shaina Raza, Deepak John Reji, Dora D. Liu, Syed Raza Bashir, Usman Naseem

CoRR, 2022

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

Shaina Raza, Brian Schwartz

CoRR, 2022

Mitigating health disparities in hospital readmissions.

Shaina Raza

CoRR, 2022

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

Shaina Raza

CoRR, 2022

A Summary of COVID-19 Datasets.

Shaina Raza, Syed Raza Bashir, Vidhi Thakkar, Usman Naseem

CoRR, 2022

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

Shaina Raza, Brian Schwartz, Laura C. Rosella

BMC Bioinform., 2022

News recommender system: a review of recent progress, challenges, and opportunities.

Shaina Raza, Chen Ding

Artif. Intell. Rev., 2022

Relevancy and Diversity in News Recommendations.

Shaina Raza, Chen Ding

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.

Shaina Raza, Brian Schwartz

Proceedings of the 1st Workshop on Healthcare AI and COVID-19, 2022

Incorporating Accuracy and Diversity in a News Recommender System.

Shaina Raza, Syed Raza Bashir, Usman Naseem, Dora D. Liu, Deepak John Reji

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

A Question-Answering System on COVID-19 Scientific Literature.

Shaina Raza, Brian Schwartz, Nancy Ondrusek

Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

Accuracy meets Diversity in a News Recommender System.

Shaina Raza, Syed Raza Bashir, Usman Naseem

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Incorporating Medical Knowledge to Transformer-based Language Models for Medical Dialogue Generation.

Usman Naseem, Ajay Bandi, Shaina Raza, Junaid Rashid, Bharathi Raja Chakravarthi

Proceedings of the 21st Workshop on Biomedical Language Processing, 2022

2021

A News Recommender System Considering Temporal Dynamics and Diversity.

Shaina Raza

CoRR, 2021

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

Shaina Raza, Chen Ding

CoRR, 2021

Balanced News Neural Network for a News Recommender System.

Shaina Raza, Syed Raza Bashir, Dora D. Liu, Usman Naseem

Proceedings of the 2021 International Conference on Data Mining, 2021

Deep Neural Network to Tradeoff between Accuracy and Diversity in a News Recommender System.

Shaina Raza, Chen Ding

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.

Shaina Raza, Chen Ding

CoRR, 2020

A Regularized Model to Trade-off between Accuracy and Diversity in a News Recommender System.

Shaina Raza, Chen Ding

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Progress in context-aware recommender systems - An overview.

Shaina Raza, Chen Ding

Comput. Sci. Rev., 2019

News Recommender System Considering Temporal Dynamics and News Taxonomy.

Shaina Raza, Chen Ding

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019