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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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FastCPH: Efficient Survival Analysis for Neural Networks
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Lymph Node Graph Neural Networks for Cancer Metastasis Prediction
Predicting outcomes, such as survival or metastasis for individual cance...
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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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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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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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Learning across label confidence distributions using Filtered Transfer Learning
Performance of neural network models relies on the availability of large...
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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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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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Reducing Adversarial Example Transferability Using Gradient Regularization
Deep learning algorithms have increasingly been shown to lack robustness...
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Stochastic Combinatorial Ensembles for Defending Against Adversarial Examples
Many deep learning algorithms can be easily fooled with simple adversari...
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