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ORCIDCassie S. Mitchell
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2020 – today
- 2024
[j4]Sara Rajaram, Cassie S. Mitchell
:
Data Augmentation with Cross-Modal Variational Autoencoders (DACMVA) for Cancer Survival Prediction. Inf. 15(1): 7 (2024)- 2023
- [c9]David Kartchner, Selvi Ramalingam, Irfan Al-Hussaini, Olivia Kronick, Cassie S. Mitchell:
Zero-Shot Information Extraction for Clinical Meta-Analysis using Large Language Models. BioNLP@ACL 2023: 396-405 - [c8]Irfan Al-Hussaini, Austin Wu, Cassie S. Mitchell:
Pathology Dynamics at BioLaySumm: the trade-off between Readability, Relevance, and Factuality in Lay Summarization. BioNLP@ACL 2023: 592-601 - [c7]David Kartchner, Jennifer Deng, Shubham Lohiya, Tejasri Kopparthi, Prasanth Bathala, Daniel Domingo-Fernández, Cassie S. Mitchell:
A Comprehensive Evaluation of Biomedical Entity Linking Models. EMNLP 2023: 14462-14478 - [c6]Irfan Al-Hussaini, Cassie S. Mitchell:
Towards Interpretable Seizure Detection Using Wearables. ICASSP 2023: 1-2 - [c5]Raghav Tandon, Anna Kirkpatrick, Cassie S. Mitchell:
sEBM: Scaling Event Based Models to Predict Disease Progression via Implicit Biomarker Selection and Clustering. IPMI 2023: 208-221 - [c4]David Kartchner, Irfan Al-Hussaini, Haydn Turner, Jennifer Deng, Shubham Lohiya, Prasanth Bathala, Cassie S. Mitchell:
BioSift: A Dataset for Filtering Biomedical Abstracts for Drug Repurposing and Clinical Meta-Analysis. SIGIR 2023: 2913-2923 - 2022
- [j3]Anna Kirkpatrick, Chidozie Onyeze, David Kartchner, Stephen Allegri, Davi Nakajima An, Kevin McCoy, Evie Davalbhakta, Cassie S. Mitchell:
Optimizations for Computing Relatedness in Biomedical Heterogeneous Information Networks: SemNet 2.0. Big Data Cogn. Comput. 6(1): 27 (2022) - [j2]Stephen Allegri, Kevin McCoy, Cassie S. Mitchell:
CompositeView: A Network-Based Visualization Tool. Big Data Cogn. Comput. 6(2): 66 (2022) - [c3]Irfan Al-Hussaini, Davi Nakajima An, Albert J. Lee, Sarah Bi, Cassie S. Mitchell:
CCS Explorer: Relevance Prediction, Extractive Summarization, and Named Entity Recognition from Clinical Cohort Studies. IEEE Big Data 2022: 5173-5181 - [c2]Irfan Al-Hussaini, Cassie S. Mitchell:
SERF: Interpretable Sleep Staging using Embeddings, Rules, and Features. CIKM 2022: 3791-3795 - [i4]Irfan Al-Hussaini, Cassie S. Mitchell:
SERF: Interpretable Sleep Staging using Embeddings, Rules, and Features. CoRR abs/2209.11174 (2022) - [i3]Irfan Al-Hussaini, Davi Nakajima An, Albert J. Lee, Sarah Bi, Cassie S. Mitchell:
CCS Explorer: Relevance Prediction, Extractive Summarization, and Named Entity Recognition from Clinical Cohort Studies. CoRR abs/2211.00201 (2022) - [i2]Irfan Al-Hussaini, Cassie S. Mitchell:
Performance and utility trade-off in interpretable sleep staging. CoRR abs/2211.03282 (2022) - 2020
- [c1]Wendi Ren, Yinghao Li, Hanting Su, David Kartchner, Cassie S. Mitchell, Chao Zhang:
Denoising Multi-Source Weak Supervision for Neural Text Classification. EMNLP (Findings) 2020: 3739-3754 - [i1]Wendi Ren, Yinghao Li, Hanting Su, David Kartchner, Cassie S. Mitchell, Chao Zhang:
Denoising Multi-Source Weak Supervision for Neural Text Classification. CoRR abs/2010.04582 (2020)
2010 – 2019
- 2018
- [j1]Stephen R. Pfohl, Renaid B. Kim, Grant S. Coan, Cassie S. Mitchell:
Unraveling the Complexity of Amyotrophic Lateral Sclerosis Survival Prediction. Frontiers Neuroinformatics 12: 36 (2018)
Coauthor Index
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