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Deep ensembles based on Stochastic Activation Selection for Polyp Segmentation
Semantic segmentation has a wide array of applications ranging from medi...
04/02/2021 ∙ by Alessandra Lumini, et al. ∙
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Exploiting Adam-like Optimization Algorithms to Improve the Performance of Convolutional Neural Networks
Stochastic gradient descent (SGD) is the main approach for training deep...
03/26/2021 ∙ by Loris Nanni, et al. ∙
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Comparisons among different stochastic selection of activation layers for convolutional neural networks for healthcare
Classification of biological images is an important task with crucial ap...
11/24/2020 ∙ by Loris Nanni, et al. ∙
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Deep learning for Plankton and Coral Classification
Oceans are the essential lifeblood of the Earth: they provide over 70 ox...
08/15/2019 ∙ by Alessandra Lumini, et al. ∙
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Learning morphological operators for skin detection
In this work we propose a novel post processing approach for skin detect...
08/09/2019 ∙ by Alessandra Lumini, et al. ∙
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iProStruct2D: Identifying protein structural classes by deep learning via 2D representations
In this paper we address the problem of protein classification starting ...
06/11/2019 ∙ by Loris Nanni, et al. ∙
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Ensemble of Deep Learned Features for Melanoma Classification
The aim of this work is to propose an ensemble of descriptors for Melano...
07/20/2018 ∙ by Loris Nanni, et al. ∙
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Fair comparison of skin detection approaches on publicly available datasets
Skin detection is the process of discriminating skin and non-skin region...
02/07/2018 ∙ by Alessandra Lumini, et al. ∙
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