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Kaleb E. Smith
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2020 – today
- 2024
- [j4]Cheng Peng
, Xi Yang, Aokun Chen, Zehao Yu, Kaleb E. Smith, Anthony B. Costa, Mona G. Flores, Jiang Bian
Generative large language models are all-purpose text analytics engines: text-to-text learning is all your need. J. Am. Medical Informatics Assoc. 31(9): 1892-1903 (2024) - [j3]Cheng Peng
Model tuning or prompt Tuning? a study of large language models for clinical concept and relation extraction. J. Biomed. Informatics 153: 104630 (2024) - [c9]Ahmad Idrissi-Yaghir, Amin Dada, Henning Schäfer, Kamyar Arzideh, Giulia Baldini, Jan Trienes, Max Hasin, Jeanette Bewersdorff, Cynthia S. Schmidt, Marie Bauer, Kaleb E. Smith, Jiang Bian, Yonghui Wu, Jörg Schlötterer, Torsten Zesch, Peter A. Horn, Christin Seifert, Felix Nensa, Jens Kleesiek, Christoph M. Friedrich:
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding. LREC/COLING 2024: 3654-3665 - [i12]Cheng Peng, Zehao Yu, Kaleb E. Smith, Wei-Hsuan Lo-Ciganic, Jiang Bian, Yonghui Wu:
Improving Generalizability of Extracting Social Determinants of Health Using Large Language Models through Prompt-tuning. CoRR abs/2403.12374 (2024) - [i11]Amin Dada, Marie Bauer, Amanda Butler Contreras, Osman Alperen Koras, Constantin Marc Seibold, Kaleb E. Smith, Jens Kleesiek:
CLUE: A Clinical Language Understanding Evaluation for LLMs. CoRR abs/2404.04067 (2024) - [i10]Ahmad Idrissi-Yaghir, Amin Dada, Henning Schäfer, Kamyar Arzideh, Giulia Baldini, Jan Trienes, Max Hasin, Jeanette Bewersdorff, Cynthia S. Schmidt, Marie Bauer, Kaleb E. Smith, Jiang Bian, Yonghui Wu, Jörg Schlötterer, Torsten Zesch, Peter A. Horn, Christin Seifert, Felix Nensa, Jens Kleesiek, Christoph M. Friedrich:
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding. CoRR abs/2404.05694 (2024) - 2023
- [j2]Cheng Peng
A study of generative large language model for medical research and healthcare. npj Digit. Medicine 6 (2023) - [c8]Amin Dada
On the Impact of Cross-Domain Data on German Language Models. EMNLP (Findings) 2023: 13801-13813 - [i9]Cheng Peng, Xi Yang, Aokun Chen, Kaleb E. Smith, Nima M. Pournejatian, Anthony B. Costa, Cheryl Martin, Mona G. Flores, Ying Zhang, Tanja Magoc, Gloria P. Lipori, Duane A. Mitchell, Naykky Singh Ospina, Mustafa M. Ahmed, William R. Hogan, Elizabeth Shenkman, Yi Guo, Jiang Bian, Yonghui Wu:
A Study of Generative Large Language Model for Medical Research and Healthcare. CoRR abs/2305.13523 (2023) - [i8]Cheng Peng, Xi Yang, Kaleb E. Smith, Zehao Yu, Aokun Chen, Jiang Bian, Yonghui Wu:
Model Tuning or Prompt Tuning? A Study of Large Language Models for Clinical Concept and Relation Extraction. CoRR abs/2310.06239 (2023) - [i7]Amin Dada, Aokun Chen, Cheng Peng, Kaleb E. Smith, Ahmad Idrissi-Yaghir, Constantin Marc Seibold, Jianning Li, Lars Heiliger, Xi Yang, Christoph M. Friedrich, Daniel Truhn, Jan Egger, Jiang Bian, Jens Kleesiek, Yonghui Wu:
On the Impact of Cross-Domain Data on German Language Models. CoRR abs/2310.07321 (2023) - [i6]Cheng Peng, Xi Yang, Aokun Chen, Zehao Yu, Kaleb E. Smith, Anthony B. Costa, Mona G. Flores, Jiang Bian, Yonghui Wu:
Generative Large Language Models Are All-purpose Text Analytics Engines: Text-to-text Learning Is All Your Need. CoRR abs/2312.06099 (2023) - 2022
- [j1]Xi Yang, Aokun Chen, Nima M. Pournejatian, Hoo Chang Shin, Kaleb E. Smith, Christopher Parisien, Colin Compas, Cheryl Martin, Anthony B. Costa, Mona G. Flores
A large language model for electronic health records. npj Digit. Medicine 5 (2022) - [c7]Boya Zhang, Kaleb E. Smith, Shimon Wdowinski
Space-Based Mapping of Mangrove Canopy Height with Multi-Sensor Observations and Deep Learning Techniques. IGARSS 2022: 3389-3392 - [i5]Xi Yang, Nima M. Pournejatian, Hoo Chang Shin, Kaleb E. Smith, Christopher Parisien, Colin Compas, Cheryl Martin, Mona G. Flores, Ying Zhang, Tanja Magoc, Christopher A. Harle, Gloria P. Lipori, Duane A. Mitchell, William R. Hogan, Elizabeth A. Shenkman, Jiang Bian, Yonghui Wu:
GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records. CoRR abs/2203.03540 (2022) - [i4]Ian G. Malone, Kaleb E. Smith, Morgan E. Urdaneta, Tyler S. Davis, Daria Nesterovich Anderson, Brian J. Phillip, John D. Rolston, Christopher R. Butson:
Machine Learning Methods Applied to Cortico-Cortical Evoked Potentials Aid in Localizing Seizure Onset Zones. CoRR abs/2211.07867 (2022) - 2021
- [i3]Kaleb E. Smith, Anthony O. Smith:
A Spectral Enabled GAN for Time Series Data Generation. CoRR abs/2103.01904 (2021) - [i2]Ying Zhang, Matthew A. Gitzendanner, Dan S. Maxwell, Justin W. Richardson, Kaleb E. Smith, Eric A. Stubbs, Brian J. Stucky, Jingchao Zhang, Erik Deumens:
Building an AI-ready RSE Workforce. CoRR abs/2111.04916 (2021) - 2020
- [i1]Kaleb E. Smith, Anthony O. Smith
Conditional GAN for timeseries generation. CoRR abs/2006.16477 (2020)
2010 – 2019
- 2019
- [c6]Kaleb E. Smith, Phillip Williams:
A Shallow Learning - Reduced Data Approach for Image Classification. Canadian AI 2019: 345-351 - 2018
- [c5]Kaleb E. Smith, Phillip Williams, Tatsanee Chaiya, Max Ble:
Deep Convolutional-Shepard Interpolation Neural Networks for Image Classification Tasks. ICIAR 2018: 185-192 - [c4]Kaleb E. Smith, Phillip Williams:
Time Series Classification with Shallow Learning Shepard Interpolation Neural Networks. ICISP 2018: 329-338 - [c3]Kaleb E. Smith, Phillip Williams, Kaylen J. Bryan, Mitchell Solomon, Max Ble, Rana Haber:
Shepard Interpolation Neural Networks with K-Means: A Shallow Learning Method for Time Series Classification. IJCNN 2018: 1-6 - 2016
- [c2]Nicole Seese, Andrew Myers, Kaleb E. Smith, Anthony O. Smith
Adaptive Foreground Extraction for Deep Fish Classification. CVAUI@ICPR 2016: 19-24 - [c1]Kaleb E. Smith, Anthony O. Smith
Video Tracking with Probabilistic Cooccurrence Feature Extraction. ISVC (2) 2016: 504-513
Coauthor Index
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last updated on 2024-10-07 21:24 CEST by the dblp team
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