Francisco Carrillo-Perez

Orcid: 0000-0003-0974-4092

According to our database1, Francisco Carrillo-Perez authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
SnapperML: A python-based framework to improve machine learning operations.
SoftwareX, 2024

Deep Learning-Based Breast Cancer Subtype Classification from Whole-Slide Images: Leveraging the BRACS Dataset.
Proceedings of the Bioinformatics and Biomedical Engineering, 2024

2023
Speeding up Simulations for Radiotherapy Research by Means of Machine Learning.
Proceedings of the Bioinformatics and Biomedical Engineering, 2023

2021
Deep learning to classify ultra-high-energy cosmic rays by means of PMT signals.
Neural Comput. Appl., 2021

KnowSeq R-Bioc package: The automatic smart gene expression tool for retrieving relevant biological knowledge.
Comput. Biol. Medicine, 2021

Non-small-cell lung cancer classification via RNA-Seq and histology imaging probability fusion.
BMC Bioinform., 2021

Ensemble Models for Covid Prediction in X-Ray Images.
Proceedings of the Advances in Computational Intelligence, 2021

COVID-19 Detection Method from Chest CT Scans via the Fusion of Slice Information and Lung Segmentation.
Proceedings of the Bioengineering and Biomedical Signal and Image Processing, 2021

Comparison of Fusion Methodologies Using CNV and RNA-Seq for Cancer Classification: A Case Study on Non-Small-Cell Lung Cancer.
Proceedings of the Bioengineering and Biomedical Signal and Image Processing, 2021

2020
Composition Classification of Ultra-High Energy Cosmic Rays.
Entropy, 2020

Enhancing Breast Cancer Classification via Information and Multi-model Integration.
Proceedings of the Bioinformatics and Biomedical Engineering, 2020

2019
Improving Classification of Ultra-High Energy Cosmic Rays Using Spacial Locality by Means of a Convolutional DNN.
Proceedings of the Advances in Computational Intelligence, 2019


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