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08/28/2021
High performing ensemble of convolutional neural networks for insect pest image detection
Pest infestation is a major cause of crop damage and lost revenues world...
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04/02/2021
Deep ensembles based on Stochastic Activation Selection for Polyp Segmentation
Semantic segmentation has a wide array of applications ranging from medi...
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03/29/2021
Comparison of different convolutional neural network activation functions and methods for building ensembles
Recently, much attention has been devoted to finding highly efficient an...
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03/26/2021
Exploiting Adam-like Optimization Algorithms to Improve the Performance of Convolutional Neural Networks
Stochastic gradient descent (SGD) is the main approach for training deep...
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11/24/2020
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...
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07/15/2020
An Ensemble of Convolutional Neural Networks for Audio Classification
In this paper, ensembles of classifiers that exploit several data augmen...
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04/27/2020
A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray Images
In this paper, we compare and evaluate different testing protocols used ...
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12/16/2019
Data augmentation approaches for improving animal audio classification
In this paper we present ensembles of classifiers for automated animal a...
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12/11/2019
Audiogmenter: a MATLAB Toolbox for Audio Data Augmentation
Audio data augmentation is a key step in training deep neural networks f...
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10/01/2019
Research on insect pest image detection and recognition based on bio-inspired methods
Insect pest recognition is necessary for crop protection in many areas o...
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08/15/2019
Deep learning for Plankton and Coral Classification
Oceans are the essential lifeblood of the Earth: they provide over 70 ox...
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05/07/2019
