Kaleb E. Smith

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 24

Top Topics

Text Understanding

Relation Extraction

Top Venues

npj Digit. Medicine

Canadian Conference on AI

Publications

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 (2024)
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. J. Biomed. Informatics 153 (2024)
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)
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 (2024)
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 (2024)
Cheng Peng, Xi Yang, Aokun Chen, Kaleb E. Smith, Nima 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 (2023)
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 (2023)
Amin Dada, Aokun Chen, Cheng Peng, Kaleb E. Smith, Ahmad Idrissi-Yaghir, Constantin Seibold, Jianning Li, Lars Heiliger, Christoph M. Friedrich, Daniel Truhn, Jan Egger, Jiang Bian, Jens Kleesiek, Yonghui Wu
On the Impact of Cross-Domain Data on German Language Models. EMNLP (Findings) (2023)
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 (2023)
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 (2023)
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 A. Shenkman, Yi Guo, Jiang Bian, Yonghui Wu
A study of generative large language model for medical research and healthcare. npj Digit. Medicine 6 (2023)
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, Ying Zhang, Tanja Magoc, Christopher A. Harle, Gloria P. Lipori, Duane A. Mitchell, William R. Hogan, Elizabeth A. Shenkman, Jiang Bian, Yonghui Wu
A large language model for electronic health records. npj Digit. Medicine 5 (2022)
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 (2022)
Boya Zhang, Kaleb E. Smith, Shimon Wdowinski, Chaohao Lin, Daniel Gann, Selena Chavez, Jingchao Zhang
Space-Based Mapping of Mangrove Canopy Height with Multi-Sensor Observations and Deep Learning Techniques. IGARSS (2022)
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 (2022)
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 (2021)
Kaleb E. Smith, Anthony O. Smith
A Spectral Enabled GAN for Time Series Data Generation. CoRR (2021)
Kaleb E. Smith, Anthony O. Smith
Conditional GAN for timeseries generation. CoRR (2020)
Kaleb E. Smith, Phillip Williams
A Shallow Learning - Reduced Data Approach for Image Classification. Canadian Conference on AI (2019)
Kaleb E. Smith, Phillip Williams, Tatsanee Chaiya, Max Ble
Deep Convolutional-Shepard Interpolation Neural Networks for Image Classification Tasks. ICIAR (2018)
Kaleb E. Smith, Phillip Williams
Time Series Classification with Shallow Learning Shepard Interpolation Neural Networks. ICISP (2018)
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)
Kaleb E. Smith, Anthony O. Smith
Video Tracking with Probabilistic Cooccurrence Feature Extraction. ISVC (2) (2016)
Nicole Seese, Andrew Myers, Kaleb E. Smith, Anthony O. Smith
Adaptive Foreground Extraction for Deep Fish Classification. CVAUI@ICPR (2016)