Alexander J. Titus
Orcid: 0000-0002-0145-9564
According to our database1,
Alexander J. Titus
authored at least 18 papers
between 2016 and 2024.
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Bibliography
2024
Inclusivity in Large Language Models: Personality Traits and Gender Bias in Scientific Abstracts.
CoRR, 2024
NHANES-GCP: Leveraging the Google Cloud Platform and BigQuery ML for reproducible machine learning with data from the National Health and Nutrition Examination Survey.
CoRR, 2024
2023
The Promise and Peril of Artificial Intelligence - Violet Teaming Offers a Balanced Path Forward.
CoRR, 2023
Elephants and Algorithms: A Review of the Current and Future Role of AI in Elephant Monitoring.
CoRR, 2023
2022
2021
2020
MethylNet: an automated and modular deep learning approach for DNA methylation analysis.
BMC Bioinform., 2020
2019
PyMethylProcess - convenient high-throughput preprocessing workflow for DNA methylation data.
Bioinform., 2019
Comparison of common machine learning models for classification of tuberculosis using transcriptional biomarkers from integrated datasets.
Appl. Soft Comput., 2019
2018
SIG-DB: Leveraging homomorphic encryption to securely interrogate privately held genomic databases.
PLoS Comput. Biol., 2018
CoRR, 2018
A New Dimension of Breast Cancer Epigenetics - Applications of Variational Autoencoders with DNA Methylation.
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018
Investigating Random Forest Classification on Publicly Available Tuberculosis Data to Uncover Robust Transcriptional Biomarkers.
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018
2016
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016