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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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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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11/11/2020
Deep learning and hand-crafted features for virus image classification
In this work, we present an ensemble of descriptors for the classificati...
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09/21/2020
Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images
The COVID-19 pandemic is undoubtedly one of the biggest public health cr...
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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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06/03/2020
Phasic dopamine release identification using ensemble of AlexNet
Dopamine (DA) is an organic chemical that influences several parts of be...
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05/05/2020
The computerization of archaeology: survey on AI techniques
This paper analyses the application of artificial intelligence technique...
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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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08/09/2019
Learning morphological operators for skin detection
In this work we propose a novel post processing approach for skin detect...
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06/11/2019
iProStruct2D: Identifying protein structural classes by deep learning via 2D representations
In this paper we address the problem of protein classification starting ...
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05/07/2019
Ensemble of Convolutional Neural Networks Trained with Different Activation Functions
Activation functions play a vital role in the training of Convolutional ...
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07/20/2018
Ensemble of Deep Learned Features for Melanoma Classification
The aim of this work is to propose an ensemble of descriptors for Melano...
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02/07/2018