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Evolutionary Multi-Objective Design of SARS-CoV-2 Protease Inhibitor Candidates
Computational drug design based on artificial intelligence is an emergin...
05/06/2020 ∙ by Tim Cofala, et al. ∙
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Learned Weight Sharing for Deep Multi-Task Learning by Natural Evolution Strategy and Stochastic Gradient Descent
In deep multi-task learning, weights of task-specific networks are share...
03/23/2020 ∙ by Jonas Prellberg, et al. ∙
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Acute Lymphoblastic Leukemia Classification from Microscopic Images using Convolutional Neural Networks
Examining blood microscopic images for leukemia is necessary when expens...
06/21/2019 ∙ by Jonas Prellberg, et al. ∙
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Limited Evaluation Evolutionary Optimization of Large Neural Networks
Stochastic gradient descent is the most prevalent algorithm to train neu...
06/26/2018 ∙ by Jonas Prellberg, et al. ∙
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Lamarckian Evolution of Convolutional Neural Networks
Convolutional neural networks belong to the most successul image classif...
06/21/2018 ∙ by Jonas Prellberg, et al. ∙
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Multi-label Classification of Surgical Tools with Convolutional Neural Networks
Automatic tool detection from surgical imagery has a multitude of useful...
05/15/2018 ∙ by Jonas Prellberg, et al. ∙
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