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08/28/2023
Entropy-based Guidance of Deep Neural Networks for Accelerated Convergence and Improved Performance
Neural networks have dramatically increased our capacity to learn from l...
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05/16/2023
Keep It Simple: Fault Tolerance Evaluation of Federated Learning with Unreliable Clients
Federated learning (FL), as an emerging artificial intelligence (AI) app...
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05/12/2022
Cross-domain Few-shot Meta-learning Using Stacking
Cross-domain few-shot meta-learning (CDFSML) addresses learning problems...
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01/27/2019
Automatic end-to-end De-identification: Is high accuracy the only metric?
De-identification of electronic health records (EHR) is a vital step tow...
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10/16/2018
A survey of automatic de-identification of longitudinal clinical narratives
Use of medical data, also known as electronic health records, in researc...
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07/09/2018
Using Swarm Optimization To Enhance Autoencoders Images
Autoencoders learn data representations through reconstruction. Robust t...
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07/16/2017
