Articles with public access mandates - Shaina Raza , PhDLearn more
Not available anywhere: 3
News recommender system considering temporal dynamics and news taxonomy
S Raza, C Ding
2019 IEEE international conference on big data (big data), 920-929, 2019
Mandates: Natural Sciences and Engineering Research Council of Canada
A Regularized Model to Trade-off between Accuracy and Diversity in a News Recommender System
S Raza, C Ding
2020 IEEE International Conference on Big Data (Big Data), 551-560, 2020
Mandates: Natural Sciences and Engineering Research Council of Canada
A question-answering system on COVID-19 scientific literature
S Raza, B Schwartz, N Ondrusek
2022 IEEE 46th Annual Computers, Software, and Applications Conference …, 2022
Mandates: Canadian Institutes of Health Research
Available somewhere: 15
News recommender system: a review of recent progress, challenges, and opportunities
S Raza, C Ding
Artificial Intelligence Review, 1-52, 2022
Mandates: Natural Sciences and Engineering Research Council of Canada
Fake news detection based on news content and social contexts: a transformer-based approach
S Raza, C Ding
International Journal of Data Science and Analytics 13 (4), 335-362, 2022
Mandates: Natural Sciences and Engineering Research Council of Canada
Large-scale application of named entity recognition to biomedicine and epidemiology
S Raza, DJ Reji, F Shajan, SR Bashir
Plos Digital Health, 2022
Mandates: Canadian Institutes of Health Research
Deep neural network to tradeoff between accuracy and diversity in a news recommender system
S Raza, C Ding
2021 IEEE International Conference on Big Data (Big Data), 5246-5256, 2021
Mandates: Natural Sciences and Engineering Research Council of Canada
CoQUAD: a COVID-19 question answering dataset system, facilitating research, benchmarking, and practice
S Raza, B Schwartz, LC Rosella
BMC bioinformatics 23 (1), 210, 2022
Mandates: Canadian Institutes of Health Research
Constructing a disease database and using natural language processing to capture and standardize free text clinical information
S Raza, B Schwartz
Nature Portfolio, Scientific Reports, 2023
Mandates: Canadian Institutes of Health Research
Entity and relation extraction from clinical case reports of COVID-19: a natural language processing approach
S Raza, B Schwartz
BMC Medical Informatics and Decision Making 23 (1), 20, 2023
Mandates: Canadian Institutes of Health Research
A machine learning model for predicting, diagnosing, and mitigating health disparities in hospital readmission
S Raza
Healthcare Analytics 2, 100100, 2022
Mandates: Canadian Institutes of Health Research
MultiWD: Multi-label wellness dimensions in social media posts
M Garg, X Liu, M Sathvik, S Raza, S Sohn
Journal of Biomedical Informatics 150, 104586, 2024
Mandates: US National Institutes of Health
Discovering social determinants of health from case reports using natural language processing: algorithmic development and validation
S Raza, E Dolatabadi, N Ondrusek, L Rosella, B Schwartz
BMC Digital Health 1 (1), 1-13, 2023
Mandates: Canadian Institutes of Health Research
Detecting biomedical named entities in COVID-19 texts
S Raza, B Schwartz
ICML: Workshop on Healthcare AI and COVID-19, 117-126, 2022
Mandates: Canadian Institutes of Health Research
A framework for multi-faceted content analysis of social media chatter regarding non-medical use of prescription medications
S Raza, B Schwartz, S Lakamana, Y Ge, A Sarker
BMC digital health 1 (1), 29, 2023
Mandates: US National Institutes of Health
A COVID-19 search engine (CO-SE) with transformer-based architecture
S Raza
Healthcare Analytics 2, 100068, 2022
Mandates: Canadian Institutes of Health Research
PLNCC: Leveraging New Data Features for Enhanced Accuracy of Fake News Detection
K Arunthavachelvan, S Raza, C Ding
Proceedings of the International Conference on Advances in Social Networks …, 2023
Mandates: Natural Sciences and Engineering Research Council of Canada
KDD 2023 International Workshop on Data Science for Social Good (DSSG-23)
S Chang, A Mukhopadhyay, A Said, A Taneja, A Yadav
Mandates: US National Science Foundation
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