Majid Afshar
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
5
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | LogosKG: Hardware-Optimized Scalable and Interpretable Knowledge Graph Retrieval. | He Cheng, Yifu Wu, Saksham Khatwani, Maya Kruse, Dmitriy Dligach, Timothy A. Miller, Majid Afshar, Yanjun Gao |
| 2025 | EMNLP | Simple Yet Effective: An Information-Theoretic Approach to Multi-LLM Uncertainty Quantification. | Maya Kruse, Majid Afshar, Saksham Khatwani, Anoop M. Mayampurath, Guanhua Chen, Yanjun Gao |
| 2024 | EMNLP | When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications? | Yanjun Gao, Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy A. Miller, Danielle S. Bitterman, Matthew M. Churpek, Majid Afshar |
| 2022 | AMIA | Explaining Alerts from a Pediatric Deterioration Prediction Model Using Clinical Text. | Anoop M. Mayampurath, Kyle A. Carey, Priti Jani, Majid Afshar, Matthew M. Churpek, Dmitriy Dligach |
| 2022 | COLING | Summarizing Patients' Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models. | Yanjun Gao, Dmitriy Dligach, Timothy Miller, Dongfang Xu, Matthew M. Churpek, Majid Afshar |
| 2022 | LREC | Hierarchical Annotation for Building A Suite of Clinical Natural Language Processing Tasks: Progress Note Understanding. | Yanjun Gao, Dmitriy Dligach, Timothy Miller, Samuel Tesch, Ryan Laffin, Matthew M. Churpek, Majid Afshar |
| 2021 | AMIA | Bias Assessment and Correction in Machine Learning Algorithms: A Use-Case in a Natural Language Processing Algorithm to Identify Hospitalized Patients with Unhealthy Alcohol Use. | Marissa Borgese, Cara Joyce, Emily E. Anderson, Matthew M. Churpek, Majid Afshar |
| 2021 | AMIA | Sepsis Prediction Using Semi-Supervised and Transfer Learning. | John R. Caskey, Fereshteh S. Bashiri, Anoop M. Mayampurath, Nicole Dussault, Jay Dumanian, Sivasubramanium V. Bhavani, Kyle A. Carey, Emily R. Gilbert, Christopher J. Winslow, Nirav S. Shah, Dana P. Edelson, Majid Afshar, Matthew M. Churpek |
| 2021 | AMIA | A multi-label classifier to screen different types of substance misuse in hospitalized patients. | Brihat Sharma, Dmitriy Dligach, Hale Thomson, Matthew M. Churpek, Niranjan S. Karnik, Majid Afshar |
| 2021 | AMIA | The Addition of United States Census-Tract Data Does Not Improve the Prediction of Substance Misuse. | Daniel To, Cara Joyce, Sujay Kulshrestha, Brihat Sharma, Dmitriy Dligach, Matthew M. Churpek, Majid Afshar |
| 2020 | AMIA | Learning Hierarchical Transformer-based Representations of Clinical Notes. | Xin Su, Timothy A. Miller, Majid Afshar, Dmitriy Dligach |
| 2019 | AMIA | Towards a Universal Document-Level Clinical Text Encoder: Methods for Neural Network Pre-training with Applications to Substance Misuse. | Dmitriy Dligach, Majid Afshar, Timothy A. Miller |
| 2019 | AMIA | Untapped Potential of Clinical Text for Opioid Surveillance. | Amy L. Olex, Tams Gl, Majid Afshar, Dmitriy Dligach, Niranjan S. Karnik, Travis Oakes, Brihat Sharma, Meng Xie, Bridget T. McInnes, Julian Solway, Abel N. Kho, William Cramer, F. G. Moeller |
| 2019 | AMIA | Identification of Latent Subtypes of Patients with Opioid Misuse. | Brihat Sharma, Majid Afshar, Dmitriy Dligach, Robert Kanie, Elizabeth Salisbury-Afshar, Niranjan S. Karnik, Cara Joyce |
| 2018 | AMIA | A Computable Phenotype for Acute Respiratory Distress Syndrome Using Natural Language Processing and Machine Learning. | Majid Afshar, Cara Joyce, Anthony Oakey, Perry Formanek, Philip Yang, Matthew M. Churpek, Richard S. Cooper, Ron Price, Susan J. Zelisko, Dmitriy Dligach |