Charles Li

Orcid: 0009-0007-1011-182X

According to our database1, Charles Li authored at least 14 papers between 2016 and 2023.

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Bibliography

2023
Using n-aksaras to model Sanskrit and Sanskrit-adjacent texts.
CoRR, 2023

Semi-supervised 3D Medical Image Segmentation Using Transformer and CNN.
Proceedings of the 15th International Conference on Digital Image Processing, 2023

Federated Information Retrieval in Cross-Domain Information Systems.
Proceedings of the Workshop on Humanities-Centred Artificial Intelligence co-located with 46th German Conference on Artificial Intelligence, September 26, 2023

2022
helayo: Reconstructing Sanskrit texts from manuscript witnesses.
J. Open Source Softw., 2022

A Comparison of WebRTC and Conventional Videoconferencing for Synchronized Remote Medical Image Presentation.
J. Digit. Imaging, 2022

Carbon "Footprinting" IT.
Computer, 2022

2020
The DIOS framework for optimizing infectious disease surveillance: Numerical methods for simulation and multi-objective optimization of surveillance network architectures.
PLoS Comput. Biol., 2020

Machine-learning classifiers for logographic name matching in public health applications: approaches for incorporating phonetic, visual, and keystroke similarity in large-scale probabilistic record linkage.
CoRR, 2020

2018
Feature Extraction from Social Media Posts for Psychometric Typing of Participants.
Proceedings of the Augmented Cognition: Intelligent Technologies, 2018

2017
Purdue University Team Tackles Global Underwater-Vehicle Competition.
Computer, 2017

Content Feature Extraction in the Context of Social Media Behavior.
Proceedings of the Augmented Cognition. Neurocognition and Machine Learning, 2017

Classifying Tweets Using User Account Information.
Proceedings of the Augmented Cognition. Neurocognition and Machine Learning, 2017

Some Syntax-Only Text Feature Extraction and Analysis Methods for Social Media Data.
Proceedings of the Augmented Cognition. Neurocognition and Machine Learning, 2017

2016
A Prediction Model for Functional Outcomes in Spinal Cord Disorder Patients Using Gaussian Process Regression.
IEEE J. Biomed. Health Informatics, 2016


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