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05/06/2023
Maintaining Stability and Plasticity for Predictive Churn Reduction
Deployed machine learning models should be updated to take advantage of ...
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08/21/2022
FastCPH: Efficient Survival Analysis for Neural Networks
The Cox proportional hazards model is a canonical method in survival ana...
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06/03/2021
Lymph Node Graph Neural Networks for Cancer Metastasis Prediction
Predicting outcomes, such as survival or metastasis for individual cance...
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04/28/2021
Evaluation of statistical approaches for association testing in noisy drug screening data
Identifying associations among biological variables is a major challenge...
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01/28/2021
A Machine Learning Challenge for Prognostic Modelling in Head and Neck Cancer Using Multi-modal Data
Accurate prognosis for an individual patient is a key component of preci...
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12/10/2020
Deep-CR MTLR: a Multi-Modal Approach for Cancer Survival Prediction with Competing Risks
Accurate survival prediction is crucial for development of precision can...
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06/03/2020
Learning across label confidence distributions using Filtered Transfer Learning
Performance of neural network models relies on the availability of large...
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05/06/2020
CovidCTNet: An Open-Source Deep Learning Approach to Identify Covid-19 Using CT Image
Coronavirus disease 2019 (Covid-19) is highly contagious with limited tr...
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02/28/2020
The importance of transparency and reproducibility in artificial intelligence research
In their study, McKinney et al. showed the high potential of artificial ...
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04/16/2019
Reducing Adversarial Example Transferability Using Gradient Regularization
Deep learning algorithms have increasingly been shown to lack robustness...
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08/20/2018
Stochastic Combinatorial Ensembles for Defending Against Adversarial Examples
Many deep learning algorithms can be easily fooled with simple adversari...
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06/26/2017