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Mixing ADAM and SGD: a Combined Optimization Method
Optimization methods (optimizers) get special attention for the efficien...
11/16/2020 ∙ by Nicola Landro, et al. ∙
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σ^2R Loss: a Weighted Loss by Multiplicative Factors using Sigmoidal Functions
In neural networks, the loss function represents the core of the learnin...
09/18/2020 ∙ by Riccardo La Grassa, et al. ∙
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Learn Class Hierarchy using Convolutional Neural Networks
A large amount of research on Convolutional Neural Networks has focused ...
05/18/2020 ∙ by Riccardo La Grassa, et al. ∙
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Can a powerful neural network be a teacher for a weaker neural network?
The transfer learning technique is widely used to learning in one contex...
05/01/2020 ∙ by Nicola Landro, et al. ∙
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Dynamic Decision Boundary for One-class Classifiers applied to non-uniformly Sampled Data
A typical issue in Pattern Recognition is the non-uniformly sampled data...
04/05/2020 ∙ by Riccardo La Grassa, et al. ∙
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OCmst: One-class Novelty Detection using Convolutional Neural Network and Minimum Spanning Trees
We present a novel model called One Class Minimum Spanning Tree (OCmst) ...
03/30/2020 ∙ by Riccardo La Grassa, et al. ∙
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Picture What you Read
Visualization refers to our ability to create an image in our head based...
09/09/2019 ∙ by Ignazio Gallo, et al. ∙
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