News Recommender System Considering Temporal Dynamics and News Taxonomy. - Shaina Raza; Chen Ding 004 (IEEE BigData, 2019)

Progress in context-aware recommender systems - An overview. - Shaina Raza; Chen Ding 004 (Comput. Sci. Rev., 2019)

A Regularized Model to Trade-off between Accuracy and Diversity in a News Recommender System. - Shaina Raza; Chen Ding 004 (IEEE BigData, 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 004 (CoRR, 2020)

Deep Neural Network to Tradeoff between Accuracy and Diversity in a News Recommender System. - Shaina Raza; Chen Ding 004 (IEEE BigData, 2021)

Balanced News Neural Network for a News Recommender System. - Shaina Raza; Syed Raza Bashir; Dora D. Liu; Usman Naseem (ICDM (Workshops), 2021)

Deep Dynamic Neural Network to trade-off between Accuracy and Diversity in a News Recommender System. - Shaina Raza; Chen Ding 004 (CoRR, 2021)

A News Recommender System Considering Temporal Dynamics and Diversity. - Shaina Raza (CoRR, 2021)

Incorporating Medical Knowledge to Transformer-based Language Models for Medical Dialogue Generation. - Usman Naseem; Ajay Bandi; Shaina Raza; Junaid Rashid; Bharathi Raja Chakravarthi (BioNLP@ACL, 2022)

Accuracy meets Diversity in a News Recommender System. - Shaina Raza; Syed Raza Bashir; Usman Naseem (COLING, 2022)

A Question-Answering System on COVID-19 Scientific Literature. - Shaina Raza; Brian Schwartz; Nancy Ondrusek (COMPSAC, 2022)

Incorporating Accuracy and Diversity in a News Recommender System. - Shaina Raza; Syed Raza Bashir; Usman Naseem; Dora D. Liu; Deepak John Reji (DSAA, 2022)

Detecting Biomedical Named Entities in COVID-19 Texts. - Shaina Raza; Brian Schwartz (Healthcare AI and COVID-19 Workshop, 2022)

Relevancy and Diversity in News Recommendations. - Shaina Raza; Chen Ding 004 (INRA/IWILDS@SIGIR, 2022)

News recommender system: a review of recent progress, challenges, and opportunities. - Shaina Raza; Chen Ding 004 (Artif. Intell. Rev., 2022)

CoQUAD: a COVID-19 question answering dataset system, facilitating research, benchmarking, and practice. - Shaina Raza; Brian Schwartz; Laura C. Rosella (BMC Bioinform., 2022)

A Summary of COVID-19 Datasets. - Shaina Raza; Syed Raza Bashir; Vidhi Thakkar; Usman Naseem (CoRR, 2022)

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

Mitigating health disparities in hospital readmissions. - Shaina Raza (CoRR, 2022)

A Biomedical Pipeline to Detect Clinical and Non-Clinical Named Entities. - Shaina Raza; Brian Schwartz (CoRR, 2022)

An Approach to Ensure Fairness in News Articles. - Shaina Raza; Deepak John Reji; Dora D. Liu; Syed Raza Bashir; Usman Naseem (CoRR, 2022)

Fake news detection based on news content and social contexts: a transformer-based approach. - Shaina Raza; Chen Ding 004 (Int. J. Data Sci. Anal., 2022)

PLNCC: Leveraging New Data Features for Enhanced Accuracy of Fake News Detection. - Keshopan Arunthavachelvan; Shaina Raza; Chen Ding 004 (ASONAM, 2023)

Addressing Biases in the Texts Using an End-to-End Pipeline Approach. - Shaina Raza; Syed Raza Bashir; Sneha; Urooj Qamar (BIAS, 2023)

Connecting Fairness in Machine Learning with Public Health Equity. - Shaina Raza (ICHI, 2023)

Leveraging Foundation Models for Clinical Text Analysis. - Shaina Raza; Syed Raza Bashir (ICHI, 2023)

Auditing ICU Readmission Rates in an Clinical Database: An Analysis of Risk Factors and Clinical Outcomes. - Shaina Raza; Syed Raza Bashir (ICHI, 2023)

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

Fairness in Machine Learning meets with Equity in Healthcare. - Shaina Raza; Parisa Osivand Pour; Syed Raza Bashir (CoRR, 2023)

Mitigating Bias in Conversations: A Hate Speech Classifier and Debiaser with Prompts. - Shaina Raza; Chen Ding 004; Deval Pandya (CoRR, 2023)

Design-Inclusive Language Models for Responsible Information Access. - Veronica Chatrath; Oluwanifemi Bamgbose; Shaina Raza (CoRR, 2023)

Navigating News Narratives: A Media Bias Analysis Dataset. - Shaina Raza (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)

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)

BERT4Loc: BERT for Location - POI Recommender System. - Syed Raza Bashir; Shaina Raza; Vojislav B. Misic (Future Internet, 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., 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., 2023)

Dataset Annotation and Model Building for Identifying Biases in News Narratives. - Shaina Raza; Mizanur Rahman; Shardul Ghuge (Text2Story@ECIR, 2024)

Equity in Healthcare: Analyzing Disparities in Machine Learning Predictions of Diabetic Patient Readmissions. - Zainab Al-Zanbouri; Gauri Sharma; Shaina Raza (ICHI, 2024)

Reliability Analysis of Psychological Concept Extraction and Classification in User-Penned Text. - Muskan Garg; MSVPJ Sathvik; Shaina Raza; Amrit Chadha; Sunghwan Sohn (ICWSM, 2024)

MBIAS: Mitigating Bias in Large Language Models While Retaining Context. - Shaina Raza; Ananya Raval; Veronica Chatrath (WASSA, 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)

FAIR Enough: How Can We Develop and Assess a FAIR-Compliant Dataset for Large Language Models' Training? - Shaina Raza; Shardul Ghuge; Chen Ding 004; Deval Pandya (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)

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)

Developing Safe and Responsible Large Language Models - A Comprehensive Framework. - Shaina Raza; Oluwanifemi Bamgbose; Shardul Ghuge; Fatemeh Tavakoli; Deepak John Reji (CoRR, 2024)

Review-based Recommender Systems: A Survey of Approaches, Challenges and Future Perspectives. - Emrul Hasan; Mizanur Rahman; Chen Ding 004; Jimmy Xiangji Huang; Shaina Raza (CoRR, 2024)

BEADs: Bias Evaluation Across Domains. - Shaina Raza; Mizanur Rahman; Michael R. Zhang (CoRR, 2024)

Practical Guide for Causal Pathways and Sub-group Disparity Analysis. - Farnaz Kohankhaki; Shaina Raza; Oluwanifemi Bamgbose; Deval Pandya; Elham Dolatabadi (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)

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)

Fact or Fiction? Can LLMs be Reliable Annotators for Political Truths? - Veronica Chatrath; Marcelo Lotif; Shaina Raza (CoRR, 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)

FAIR Enough: Develop and Assess a FAIR-Compliant Dataset for Large Language Model Training? - Shaina Raza; Shardul Ghuge; Chen Ding 004; Elham Dolatabadi; Deval Pandya (Data Intell., 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)

MultiWD: Multi-label wellness dimensions in social media posts. - Muskan Garg; Xingyi Liu; MSVPJ Sathvik; Shaina Raza; Sunghwan Sohn (J. Biomed. Informatics, 2024)

HarmonyNet: Navigating hate speech detection. - Shaina Raza; Veronica Chatrath (Nat. Lang. Process. J., 2024)

Improving Clinical Decision Making With a Two-Stage Recommender System. - Shaina Raza; Chen Ding 004 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Dbias: detecting biases and ensuring fairness in news articles. - Shaina Raza; Deepak John Reji; Chen Ding 004 (Int. J. Data Sci. Anal., 2024)

Bias Reduction News Recommendation System. - Shaina Raza (Digit., 2024)

Nbias: A natural language processing framework for BIAS identification in text. - Shaina Raza; Muskan Garg; Deepak John Reji; Syed Raza Bashir; Chen Ding 004 (Expert Syst. Appl., 2024)

A deep neural network approach for fake news detection using linguistic and psychological features. - Keshopan Arunthavachelvan; Shaina Raza; Chen Ding 004 (User Model. User Adapt. Interact., 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., 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., 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., 2024)

FairUDT: Fairness-aware Uplift Decision Trees. - Anam Zahid; Abdur Rehman Ali; Shaina Raza; Rai Shahnawaz; Faisal Kamiran; Asim Karim (Knowl. Based Syst., 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)

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, 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, 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, 2025)

FairUDT: Fairness-aware Uplift Decision Trees. - Anam Zahid; Abdur Rehman; Shaina Raza; Rai Shahnawaz; Faisal Kamiran; Asim Karim (CoRR, 2025)

Perceived Confidence Scoring for Data Annotation with Zero-Shot LLMs. - Sina Salimian; Gias Uddin 001; Most Husne Jahan; Shaina Raza (CoRR, 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 001; Aizan Zafar; Hasan Maqbool; et al. (CoRR, 2025)

VLDBench: Vision Language Models Disinformation Detection Benchmark. - Shaina Raza; Ashmal Vayani; Aditya Jain; Aravind Narayanan; Vahid Reza Khazaie; Syed Raza Bashir; Elham Dolatabadi; Gias Uddin 001; Christos Emmanouilidis; Rizwan Qureshi; Mubarak Shah (CoRR, 2025)

Comprehensive Analysis of Transparency and Accessibility of ChatGPT, DeepSeek, And other SoTA Large Language Models. - Ranjan Sapkota; Shaina Raza; Manoj Karkee (CoRR, 2025)

FairSense-AI: Responsible AI Meets Sustainability. - Shaina Raza; Mukund Sayeeganesh Chettiar; Matin Yousefabadi; Tahniat Khan; Marcelo Lotif (CoRR, 2025)

Position: Beyond Assistance - Reimagining LLMs as Ethical and Adaptive Co-Creators in Mental Health Care. - Abeer Badawi; Md. Tahmid Rahman Laskar; Jimmy Xiangji Huang; Shaina Raza; Elham Dolatabadi (CoRR, 2025)

Optimizing Large Language Models: Metrics, Energy Efficiency, and Case Study Insights. - Tahniat Khan; Soroor Motie; Sedef Akinli Kocak; Shaina Raza (CoRR, 2025)

The Rise of Small Language Models in Healthcare: A Comprehensive Survey. - Muskan Garg; Shaina Raza; Shebuti Rayana; Xingyi Liu; Sunghwan Sohn (CoRR, 2025)

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 004 (Knowl. Inf. Syst., 2025)

HumaniBench: A Human-Centric Framework for Large Multimodal Models Evaluation. - Shaina Raza; Aravind Narayanan; Vahid Reza Khazaie; Ashmal Vayani; Mukund S. Chettiar; Amandeep Singh; Mubarak Shah; Deval Pandya (CoRR, 2025)

Just as Humans Need Vaccines, So Do Models: Model Immunization to Combat Falsehoods. - Shaina Raza; Rizwan Qureshi; Marcelo Lotif; Aman Chadha; Deval Pandya; Christos Emmanouilidis (CoRR, 2025)

TRiSM for Agentic AI: A Review of Trust, Risk, and Security Management in LLM-based Agentic Multi-Agent Systems. - Shaina Raza; Ranjan Sapkota; Manoj Karkee; Christos Emmanouilidis (CoRR, 2025)

Developing safe and responsible large language model: can we balance bias reduction and language understanding? - Shaina Raza; Oluwanifemi Bamgbose; Shardul Ghuge; Fatemeh Tavakoli; Deepak John Reji; Syed Raza Bashir (Mach. Learn., 2025)

Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact. - Rizwan Qureshi; Ranjan Sapkota; Abbas Shah; Amgad Muneer; Anas Zafar; Ashmal Vayani; Maged Shoman; Abdelrahman B. M. Eldaly; Kai Zhang; Ferhat Sadak; Shaina Raza; Xinqi Fan; et al. (CoRR, 2025)

LinguaMark: Do Multimodal Models Speak Fairly? A Benchmark-Based Evaluation. - Ananya Raval; Aravind Narayanan; Vahid Reza Khazaie; Shaina Raza (CoRR, 2025)