Shaina Raza
Orcid: 0000-0003-1061-5845
According to our database1,
Shaina Raza
authored at least 71 papers
between 2019 and 2025.
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Bibliography
2025
Image, Text, and Speech Data Augmentation using Multimodal LLMs for Deep Learning: A Survey.
CoRR, January, 2025
Academic Case Reports Lack Diversity: Assessing the Presence and Diversity of Sociodemographic and Behavioral Factors related to Post COVID-19 Condition.
CoRR, January, 2025
EQUATOR: A Deterministic Framework for Evaluating LLM Reasoning with Open-Ended Questions. # v1.0.0-beta.
CoRR, January, 2025
RESPECT: A framework for promoting inclusive and respectful conversations in online communications.
Nat. Lang. Process. J., 2025
2024
FakeWatch[inline-graphic not available: see fulltext]: a framework for detecting fake news to ensure credible elections.
Soc. Netw. Anal. Min., December, 2024
Soc. Netw. Anal. Min., December, 2024
IEEE Trans. Comput. Soc. Syst., October, 2024
A deep neural network approach for fake news detection using linguistic and psychological features.
User Model. User Adapt. Interact., September, 2024
Expert Syst. Appl., March, 2024
Int. J. Data Sci. Anal., January, 2024
IEEE ACM Trans. Comput. Biol. Bioinform., 2024
J. Biomed. Informatics, 2024
An Intelligent COVID-19-Related Arabic Text Detection Framework Based on Transfer Learning Using Context Representation.
Int. J. Intell. Syst., 2024
Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data.
CoRR, 2024
A Comprehensive Review of Recommender Systems: Transitioning from Theory to Practice.
CoRR, 2024
Review-based Recommender Systems: A Survey of Approaches, Challenges and Future Perspectives.
CoRR, 2024
CoRR, 2024
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
Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review.
IEEE Access, 2024
Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, 2024
Reliability Analysis of Psychological Concept Extraction and Classification in User-Penned Text.
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.
Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024
Proceedings of Text2Story, 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
Appl. Intell., December, 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
Mitigating Bias in Conversations: A Hate Speech Classifier and Debiaser with Prompts.
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
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023
Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2023
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
CoQUAD: a COVID-19 question answering dataset system, facilitating research, benchmarking, and practice.
BMC Bioinform., 2022
Artif. Intell. Rev., 2022
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
Proceedings of the 1st Workshop on Healthcare AI and COVID-19, 2022
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022
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
Deep Dynamic Neural Network to trade-off between Accuracy and Diversity in a News Recommender System.
CoRR, 2021
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
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019