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Deep Learning Applied to Steganalysis of Digital Images: A Systematic Review

IEEE access, 2019, Vol.7, p.68970-68990

2019

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GBRAS-Net: A Convolutional Neural Network Architecture for Spatial Image Steganalysis

IEEE access, 2021, Vol.9, p.14340-14350

2021

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Coffee Maturity Classification Using Convolutional Neural Networks and Transfer Learning

IEEE access, 2022, Vol.10, p.42971-42982

2022

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Enhancing Intrusion Detection in IoT Communications Through ML Model Generalization With a New Dataset (IDSAI)

IEEE access, 2023, Vol.11, p.70542-70559

2023

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Biases associated with database structure for COVID-19 detection in X-ray images

Scientific reports, 2023-03, Vol.13 (1), p.3477-16, Article 3477

2023

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A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data

PeerJ. Computer science, 2020-04, Vol.6, p.e270-e270, Article e270

2020

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A comparative study of CNN-capsule-net, CNN-transformer encoder, and Traditional machine learning algorithms to classify epileptic seizure

BMC medical informatics and decision making, 2024-03, Vol.24 (1), p.60-60, Article 60

2024

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COVID-19 detection in X-ray images using convolutional neural networks

Machine learning with applications, 2021-12, Vol.6, p.100138-100138, Article 100138

2021

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SAM-UNETR: Clinically Significant Prostate Cancer Segmentation using Transfer Learning from Large Model

IEEE access, 2023-01, Vol.11, p.1-1

2023

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Classification of Alzheimer's disease stages from magnetic resonance images using deep learning

PeerJ. Computer science, 2023-08, Vol.9, p.e1490, Article e1490

2023

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G-SAIP: Graphical Sequence Alignment Through Parallel Programming in the Post-Genomic Era

Evolutionary bioinformatics online, 2023-01, Vol.19, p.11769343221150585-11769343221150585

2023

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Automatic curation of LTR retrotransposon libraries from plant genomes through machine learning

Journal of integrative bioinformatics, 2022-09, Vol.19 (3), p.236-8

2022

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Requests classification in the customer service area for software companies using machine learning and natural language processing

PeerJ. Computer science, 2023-03, Vol.9, p.e1016-e1016, Article e1016

2023

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Machine learning applications to predict two-phase flow patterns

PeerJ. Computer science, 2021-11, Vol.7, p.e798-e798, Article e798

2021

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Sensitivity of deep learning applied to spatial image steganalysis

PeerJ. Computer science, 2021-08, Vol.7, p.e616-e616, Article e616

2021

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TIP_finder: An HPC Software to Detect Transposable Element Insertion Polymorphisms in Large Genomic Datasets

Biology (Basel, Switzerland), 2020-09, Vol.9 (9), p.281

2020

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Dinámica no lineal del mercado del café en Colombia

Mutis- Revista de arte y ciencia de la Universidad Jorge Tadeo Lozano, 2018-07, Vol.8 (2), p.73-83

2018

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Strategy to improve the accuracy of convolutional neural network architectures applied to digital image steganalysis in the spatial domain

PeerJ. Computer science, 2021-04, Vol.7, p.e451-e451, Article e451

2021

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Worldwide co-occurrence analysis of 17 species of the genus Brachypodium using data mining

PeerJ (San Francisco, CA), 2019-01, Vol.6, p.e6193-e6193, Article e6193

2019

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Clasificación de cáncer cervical usando redes neuronales convolucionales, transferencia de aprendizaje y aumento de datos

Revista EIA, 2021-06, Vol.18 (35), p.100-111

2021

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Building better forecasting pipelines: A generalizable guide to multi-output spatio-temporal forecasting

Expert systems with applications, 2025-01, Vol.259, p.125384, Article 125384

2025

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Machine Learning Techniques to the Prediction of Variables of the Urban Solid Waste Collection Process

2022 IEEE Colombian Conference on Applications of Computational Intelligence (ColCACI), 2022, p.1-6

2022

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SpectroCVT-Net: A convolutional vision transformer architecture and channel attention for classifying Alzheimer’s disease using spectrograms

Computers in biology and medicine, 2024-10, Vol.181, p.109022, Article 109022

2024

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A systematic review of vision transformers and convolutional neural networks for Alzheimer’s disease classification using 3D MRI images

Neural computing & applications, 2024-09

2024

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Deep Learning Applied to Steganalysis of Digital Images: A Systematic Review

GBRAS-Net: A Convolutional Neural Network Architecture for Spatial Image Steganalysis

Coffee Maturity Classification Using Convolutional Neural Networks and Transfer Learning

Enhancing Intrusion Detection in IoT Communications Through ML Model Generalization With a New Dataset (IDSAI)

Biases associated with database structure for COVID-19 detection in X-ray images

A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data

A comparative study of CNN-capsule-net, CNN-transformer encoder, and Traditional machine learning algorithms to classify epileptic seizure

COVID-19 detection in X-ray images using convolutional neural networks

SAM-UNETR: Clinically Significant Prostate Cancer Segmentation using Transfer Learning from Large Model

Classification of Alzheimer's disease stages from magnetic resonance images using deep learning

G-SAIP: Graphical Sequence Alignment Through Parallel Programming in the Post-Genomic Era

Automatic curation of LTR retrotransposon libraries from plant genomes through machine learning

Requests classification in the customer service area for software companies using machine learning and natural language processing

Machine learning applications to predict two-phase flow patterns

Sensitivity of deep learning applied to spatial image steganalysis

Cov-caldas: A new COVID-19 chest X-Ray dataset from state of Caldas-Colombia

TIP_finder: An HPC Software to Detect Transposable Element Insertion Polymorphisms in Large Genomic Datasets

Dinámica no lineal del mercado del café en Colombia

Strategy to improve the accuracy of convolutional neural network architectures applied to digital image steganalysis in the spatial domain

Worldwide co-occurrence analysis of 17 species of the genus Brachypodium using data mining

Clasificación de cáncer cervical usando redes neuronales convolucionales, transferencia de aprendizaje y aumento de datos

Building better forecasting pipelines: A generalizable guide to multi-output spatio-temporal forecasting

Machine Learning Techniques to the Prediction of Variables of the Urban Solid Waste Collection Process

SpectroCVT-Net: A convolutional vision transformer architecture and channel attention for classifying Alzheimer’s disease using spectrograms

A systematic review of vision transformers and convolutional neural networks for Alzheimer’s disease classification using 3D MRI images

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