Christopher L. Bartlett

According to our database1, Christopher L. Bartlett authored at least 9 papers between 2019 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2021
Integrative survival analysis of breast cancer with gene expression and DNA methylation data.
Bioinform., 2021

Predicting with Confidence: A Case-Based Reasoning Framework for Predicting Survival in Breast Cancer.
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

2020
Survival Analysis of Breast Cancer Utilizing Integrated Features with Ordinal Cox Model and Auxiliary Loss.
Proceedings of the Advances in Data Mining, 2020

Classifying Breast Cancer Tissue Through DNA Methylation and Clinical Covariate Based Retrieval.
Proceedings of the Case-Based Reasoning Research and Development, 2020

Survival Prediction of Breast Cancer Patient from Gene Methylation Data with Deep LSTM Network and Ordinal Cox Model.
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

Case-Based Reasoning for the Analysis of Methylation Data in Oncology.
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

2019
Case-based Reasoning for the Analysis of Methylation Data in Oncology.
Proceedings of the Workshops Proceedings for the Twenty-seventh International Conference on Case-Based Reasoning co-located with the Twenty-seventh International Conference on Case-Based Reasoning (ICCBR 2019), 2019

Constructing prototypes for classification using epigenetic and genetic analysis.
Proceedings of the Workshops Proceedings for the Twenty-seventh International Conference on Case-Based Reasoning co-located with the Twenty-seventh International Conference on Case-Based Reasoning (ICCBR 2019), 2019

Machine Learning and Feature Selection for the Classification of Mental Disorders from Methylation Data.
Proceedings of the Artificial Intelligence in Medicine, 2019


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