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- 2024
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Mark
Using machine learning to develop customer insights from user-generated content
- Contribution to journal › Article
-
Mark
Generating Executable Test Scenarios from Autonomous Vehicle Disengagements using Natural Language Processing
(2024) p.98-104
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Automotive fault nowcasting with machine learning and natural language processing
- Contribution to journal › Article
-
Mark
Use of 4 Open-Ended Text Responses to Help Identify People at Risk of Gaming Disorder : Preregistered Development and Usability Study Using Natural Language Processing
- Contribution to journal › Article
-
Mark
BioBERT_HUNER_v2 models
(2024)
- Non-textual form › Software
-
Mark
EasyNER: A Customizable and Easy-to-Use Pipeline for Deep Learning- and Dictionary-based Named Entity Recognition from Medical Text [Software]
(2024)
- Non-textual form › Software
-
Mark
Python for Natural Language Processing : Programming with NumPy, scikit-learn, Keras, and PyTorch: Third Edition
- Book/Report › Book
-
Mark
Hawk : An industrial-strength multi-label document classifier
- Contribution to journal › Article
- 2023
-
Mark
Removing Biases in Communication of Severity Assessments of Intimate Partner Violence : Model Development and Evaluation
- Contribution to journal › Article
-
Mark
EasyNER: A Customizable Easy-to-Use Pipeline for Deep Learning- and Dictionary-based Named Entity Recognition from Medical Text
(2023)
- Working paper/Preprint › Preprint in preprint archive
