Reinel Tabares-Soto
Orcid: 0000-0002-4978-5211
According to our database1,
Reinel Tabares-Soto authored at least 32 papers
between 2019 and 2026.
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Bibliography
2026
From diverse CT scans to generalization: towards robust abdominal organ segmentation.
BMC Medical Imaging, December, 2026
Benchmarking of closed vision-language models for Ki-67 index prediction in breast cancer histopathology images.
Expert Syst. Appl., 2026
Deep learning approaches for predicting Ki-67 index in breast cancer histopathology images: A systematic review.
Comput. Biol. Medicine, 2026
Detection of Carbapenem Resistance in Klebsiella pneumoniae Using Vision Transformers and MALDI-TOF Proteomic Profiles.
IEEE Access, 2026
2025
CoRR, November, 2025
Predicting no-shows at outpatient appointments in internal medicine using machine learning models.
PeerJ Comput. Sci., 2025
Transformers and capsule networks <i>vs</i> classical ML on clinical data for alzheimer classification.
PeerJ Comput. Sci., 2025
A computational approach to predicting principal discharge diagnoses for enhanced morbidity surveillance.
PeerJ Comput. Sci., 2025
Building better forecasting pipelines: A generalizable guide to multi-output spatio-temporal forecasting.
Expert Syst. Appl., 2025
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2025
2024
A systematic review of vision transformers and convolutional neural networks for Alzheimer's disease classification using 3D MRI images.
Neural Comput. Appl., December, 2024
A comparative study of CNN-capsule-net, CNN-transformer encoder, and Traditional machine learning algorithms to classify epileptic seizure.
BMC Medical Informatics Decis. Mak., December, 2024
Applying the ethics of AI: a systematic review of tools for developing and assessing AI-based systems.
Artif. Intell. Rev., May, 2024
CVTStego-Net: A convolutional vision transformer architecture for spatial image steganalysis.
J. Inf. Secur. Appl., 2024
SpectroCVT-Net: A convolutional vision transformer architecture and channel attention for classifying Alzheimer's disease using spectrograms.
Comput. Biol. Medicine, 2024
2023
Inpactor2: a software based on deep learning to identify and classify LTR-retrotransposons in plant genomes.
Briefings Bioinform., January, 2023
Classification of Alzheimer's disease stages from magnetic resonance images using deep learning.
PeerJ Comput. Sci., 2023
Requests classification in the customer service area for software companies using machine learning and natural language processing.
PeerJ Comput. Sci., 2023
Enhancing Intrusion Detection in IoT Communications Through ML Model Generalization With a New Dataset (IDSAI).
IEEE Access, 2023
SAM-UNETR: Clinically Significant Prostate Cancer Segmentation Using Transfer Learning From Large Model.
IEEE Access, 2023
2022
Automatic curation of LTR retrotransposon libraries from plant genomes through machine learning.
J. Integr. Bioinform., 2022
Machine learning approaches for COVID-19 detection from chest X-ray imaging: A Systematic Review.
CoRR, 2022
Coffee Maturity Classification Using Convolutional Neural Networks and Transfer Learning.
IEEE Access, 2022
2021
PeerJ Comput. Sci., 2021
Strategy to improve the accuracy of convolutional neural network architectures applied to digital image steganalysis in the spatial domain.
PeerJ Comput. Sci., 2021
PeerJ Comput. Sci., 2021
GBRAS-Net: A Convolutional Neural Network Architecture for Spatial Image Steganalysis.
IEEE Access, 2021
Proceedings of the Sustainable Smart Cities and Territories, 2021
Proceedings of the Practical Applications of Computational Biology & Bioinformatics, 2021
2020
A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data.
PeerJ Comput. Sci., 2020
2019
IEEE Access, 2019