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   Articles with "deep models" as a keyword



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Fisher kernels match deep models

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recommendations! Published in 2017 at "Electronics Letters"

DOI: 10.1049/el.2016.3320

Abstract: Deep models have recently shown improved performance on numerous benchmark tasks in computer vision and machine learning. The availability of huge amount of digital data, possibility of massively parallel computations on graphics processing units and… read more here.

Keywords: kernel methods; deep models; kernels match; match deep ... See more keywords
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Deep models of superficial face judgments.

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recommendations! Published in 2022 at "Proceedings of the National Academy of Sciences of the United States of America"

DOI: 10.1073/pnas.2115228119

Abstract: SignificanceWe quickly and irresistibly form impressions of what other people are like based solely on how their faces look. These impressions have real-life consequences ranging from hiring decisions to sentencing decisions. We model and visualize… read more here.

Keywords: face; superficial face; face judgments; deep models ... See more keywords
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MS-TR: A Morphologically enriched sentiment Treebank and recursive deep models for compositional semantics in Turkish

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recommendations! Published in 2021 at "Cogent engineering"

DOI: 10.1080/23311916.2021.1893621

Abstract: Recursive Deep Models have been used as powerful models to learn compositional representations of text for many natural language processing tasks. However, they require structured input (i.e. senti... read more here.

Keywords: deep models; morphologically enriched; enriched sentiment; recursive deep ... See more keywords
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Do deep learning models make a difference in the identification of antimicrobial peptides?

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recommendations! Published in 2022 at "Briefings in bioinformatics"

DOI: 10.1093/bib/bbac094

Abstract: In the last few decades, antimicrobial peptides (AMPs) have been explored as an alternative to classical antibiotics, which in turn motivated the development of machine learning models to predict antimicrobial activities in peptides. The first… read more here.

Keywords: antimicrobial peptides; learning models; shallow models; deep learning ... See more keywords

Orthogonal Deep Models as Defense Against Black-Box Attacks

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recommendations! Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3005961

Abstract: Deep learning has demonstrated state-of-the-art performance for a variety of challenging computer vision tasks. On one hand, this has enabled deep visual models to pave the way for a plethora of critical applications like disease… read more here.

Keywords: orthogonal deep; black box; deep models; models defense ... See more keywords
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Removing Zero Variance Units of Deep Models for COVID-19 Detection

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recommendations! Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3255834

Abstract: Deep Learning has been used for several applications including the analysis of medical images. Some transfer learning works show that an improvement in performance is obtained if a pre-trained model on ImageNet is transferred to… read more here.

Keywords: performance; medical images; variance; deep models ... See more keywords
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Rotation-Based Deep Forest for Hyperspectral Imagery Classification

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recommendations! Published in 2019 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2019.2892117

Abstract: In recent years, deep learning methods have been widely used for the classification of hyperspectral images (HSIs). However, the training of deep models is very time-consuming. In addition, the rare labeled samples of remote sensing… read more here.

Keywords: rotation based; rotation; deep models; deep forest ... See more keywords
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Structured Bayesian Compression for Deep Models in Mobile-Enabled Devices for Connected Healthcare

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recommendations! Published in 2020 at "IEEE Network"

DOI: 10.1109/mnet.001.1900204

Abstract: Deep models, typically deep neural networks, have millions of parameters, analyze medical data accurately, yet in a time-consuming method. However, energy cost effectiveness and computational efficiency are important for prerequisites developing and deploying mobile-enabled devices,… read more here.

Keywords: connected healthcare; mobile enabled; compression; deep models ... See more keywords

Investigating classification performance of hybrid deep learning and machine learning architectures on activity recognition

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recommendations! Published in 2022 at "Computational Intelligence"

DOI: 10.1111/coin.12517

Abstract: Human activity recognition (HAR) has become a popular field to recognize people's activities from signals obtained using various types of body placed sensors. The increase in the elderly population will increase cognitive and physical decline… read more here.

Keywords: machine; classification; machine learning; activity recognition ... See more keywords