Cassie S. Mitchell

According to our database, Cassie S. Mitchell authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Data Augmentation with Cross-Modal Variational Autoencoders (DACMVA) for Cancer Survival Prediction.

Sara Rajaram, Cassie S. Mitchell

Inf., 2024

2023

BioSift: A Dataset for Filtering Biomedical Abstracts for Drug Repurposing and Clinical Meta-Analysis.

David Kartchner, Irfan Al-Hussaini, Haydn Turner, Jennifer Deng, Shubham Lohiya, Prasanth Bathala, Cassie S. Mitchell

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

sEBM: Scaling Event Based Models to Predict Disease Progression via Implicit Biomarker Selection and Clustering.

Raghav Tandon, Anna Kirkpatrick, Cassie S. Mitchell

Proceedings of the Information Processing in Medical Imaging, 2023

Towards Interpretable Seizure Detection Using Wearables.

Irfan Al-Hussaini, Cassie S. Mitchell

Proceedings of the IEEE International Conference on Acoustics, 2023

A Comprehensive Evaluation of Biomedical Entity Linking Models.

David Kartchner, Jennifer Deng, Shubham Lohiya, Tejasri Kopparthi, Prasanth Bathala, Daniel Domingo-Fernández, Cassie S. Mitchell

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Zero-Shot Information Extraction for Clinical Meta-Analysis using Large Language Models.

David Kartchner, Selvi Ramalingam, Irfan Al-Hussaini, Olivia Kronick, Cassie S. Mitchell

Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

Pathology Dynamics at BioLaySumm: the trade-off between Readability, Relevance, and Factuality in Lay Summarization.

Irfan Al-Hussaini, Austin Wu, Cassie S. Mitchell

Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

2022

Performance and utility trade-off in interpretable sleep staging.

Irfan Al-Hussaini, Cassie S. Mitchell

CoRR, 2022

Optimizations for Computing Relatedness in Biomedical Heterogeneous Information Networks: SemNet 2.0.

Anna Kirkpatrick, Chidozie Onyeze, David Kartchner, Stephen Allegri, Davi Nakajima An, Kevin McCoy, Evie Davalbhakta, Cassie S. Mitchell

Big Data Cogn. Comput., 2022

CompositeView: A Network-Based Visualization Tool.

Stephen Allegri, Kevin McCoy, Cassie S. Mitchell

Big Data Cogn. Comput., 2022

SERF: Interpretable Sleep Staging using Embeddings, Rules, and Features.

Irfan Al-Hussaini, Cassie S. Mitchell

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

CCS Explorer: Relevance Prediction, Extractive Summarization, and Named Entity Recognition from Clinical Cohort Studies.

Irfan Al-Hussaini, Davi Nakajima An, Albert J. Lee, Sarah Bi, Cassie S. Mitchell

Proceedings of the IEEE International Conference on Big Data, 2022

2020

Denoising Multi-Source Weak Supervision for Neural Text Classification.

Wendi Ren, Yinghao Li, Hanting Su, David Kartchner, Cassie S. Mitchell, Chao Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2018

Unraveling the Complexity of Amyotrophic Lateral Sclerosis Survival Prediction.

Stephen R. Pfohl, Renaid B. Kim, Grant S. Coan, Cassie S. Mitchell

Frontiers Neuroinformatics, 2018