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01/24/2022
Feature transforms for image data augmentation
A problem with Convolutional Neural Networks (CNNs) is that they require...
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12/24/2021
Deep ensembles in bioimage segmentation
Semantic segmentation consists in classifying each pixel of an image by ...
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10/09/2021
Gated recurrent units and temporal convolutional network for multilabel classification
Multilabel learning tackles the problem of associating a sample with mul...
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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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04/08/2021
Deep Features for training Support Vector Machine
Features play a crucial role in computer vision. Initially designed to d...
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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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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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06/11/2019