research
∙
08/01/2023
Data Collaboration Analysis applied to Compound Datasets and the Introduction of Projection data to Non-IID settings
Given the time and expense associated with bringing a drug to market, nu...
share
research
∙
07/26/2023
Topologically-Regularized Multiple Instance Learning for Red Blood Cell Disease Classification
Diagnosing rare anemia disorders using microscopic images is challenging...
research
∙
12/06/2022
Achieving Transparency in Distributed Machine Learning with Explainable Data Collaboration
Transparency of Machine Learning models used for decision support in var...
research
∙
07/04/2022
Anomaly-aware multiple instance learning for rare anemia disorder classification
Deep learning-based classification of rare anemia disorders is challenge...
research
∙
09/11/2021
Sickle Cell Disease Severity Prediction from Percoll Gradient Images using Graph Convolutional Networks
Sickle cell disease (SCD) is a severe genetic hemoglobin disorder that r...
research
∙
03/17/2021
Fourier Transform of Percoll Gradients Boosts CNN Classification of Hereditary Hemolytic Anemias
Hereditary hemolytic anemias are genetic disorders that affect the shape...
research
∙
01/27/2021
Accuracy and Privacy Evaluations of Collaborative Data Analysis
Distributed data analysis without revealing the individual data has rece...
research
∙
11/13/2020
Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations
Dimensionality Reduction is a commonly used element in a machine learnin...
research
∙
07/22/2020
