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Chapter and Conference Paper
Adults’ Pain Recognition via Facial Expressions Using CNN-Based AU Detection
The identification of pain expression by facial analysis is a difficult problem with few effective solutions. Most of the existing facial expression recognition methods are based on the detection of different ...
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Article
Open AccessUsing human pose information for handgun detection
Fast automatic handgun detection can be very useful to avoid or mitigate risks in public spaces. Detectors based on deep learning methods have been proposed in the literature to trigger an alarm if a handgun i...
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Article
Open AccessDeep autoencoder for false positive reduction in handgun detection
In an object detection system, the main objective during training is to maintain the detection and false positive rates under acceptable levels when the model is run over the test set. However, this typically ...
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Article
Open AccessRobustness to adversarial examples can be improved with overfitting
Deep learning (henceforth DL) has become most powerful machine learning methodology. Under specific circumstances recognition rates even surpass those obtained by humans. Despite this, several works have shown...
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Chapter
Diatom Feature Extraction and Classification
This chapter presents the most relevant image processing techniques and algorithms related to computing features that are able to characterize diatoms as objects in the computer vision field for further analys...
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Chapter and Conference Paper
Weapon Detection for Particular Scenarios Using Deep Learning
The development of object detection systems is normally driven to achieve both high detection and low false positive rates in a certain public dataset. However, when put into a real scenario the result is gene...
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Chapter and Conference Paper
Adversarial Examples are a Manifestation of the Fitting-Generalization Trade-off
In recent scientific literature, some studies have been published where recognition rates obtained with Deep Learning (DL) surpass those obtained by humans on the same task. In contrast to this, other studies ...
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Chapter and Conference Paper
Vision and Crowdsensing Technology for an Optimal Response in Physical-Security
Law enforcement agencies and private security companies work to pre...
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Chapter and Conference Paper
Diatom Classification Including Morphological Adaptations Using CNNs
Diatoms are a major group of aquatic microalgae. They are widely used in different fields such as environmental studies to estimate water quality. This paper presents the use of convolutional neural networks (...
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Article
Open AccessAn entropy-based automated approach to prostate biopsy ROI segmentation
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Chapter and Conference Paper
False Positive Reduction in Detector Implantation
The development of a detection system is normally driven to achieve good detection rates. In most cases, a good detection rate involves a number of false positive decisions. However, the false positive rate is...
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Chapter
Colour Model Analysis for Histopathology Image Processing
This chapter presents a comparative study among different colour models (RGB, HSI, CMYK, CIEL*a*b*, and HSD) applied to very large microscopic image analysis. Such analysis of different colour models is needed...
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Chapter and Conference Paper
A Tree Classifier for Automatic Breast Tissue Classification Based on BIRADS Categories
Breast tissue density is an important risk factor in the detection of breast cancer. It is also known that interpretation of mammogram lesions is more difficult in dense tissues. Therefore, getting a prelimina...
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Chapter and Conference Paper
Automatic Breast Tissue Classification Based on BIRADS Categories
Breast tissue density is an important risk factor in the detection of breast cancer. It is also known that interpretation of mammogram lesions is more difficult in dense tissues. Therefore, getting a prelimina...
