Francis Jesmar P. Montalbo
Orcid: 0000-0002-1493-5080
According to our database1,
Francis Jesmar P. Montalbo
authored at least 10 papers
between 2019 and 2023.
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Bibliography
2023
Machine-based mosquito taxonomy with a lightweight network-fused efficient dual ConvNet with residual learning and Knowledge Distillation.
Appl. Soft Comput., January, 2023
Performance Analysis of Lightweight Vision Transformers and Deep Convolutional Neural Networks in Detecting Brain Tumors in MRI Scans: An Empirical Approach.
Proceedings of the 2023 8th International Conference on Biomedical Imaging, 2023
2022
Automated diagnosis of diverse coffee leaf images through a stage-wise aggregated triple deep convolutional neural network.
Mach. Vis. Appl., 2022
Truncating fined-tuned vision-based models to lightweight deployable diagnostic tools for SARS-CoV-2 infected chest X-rays and CT-scans.
Multim. Tools Appl., 2022
Diagnosing gastrointestinal diseases from endoscopy images through a multi-fused CNN with auxiliary layers, alpha dropouts, and a fusion residual block.
Biomed. Signal Process. Control., 2022
2021
Empirical Analysis of a Fine-Tuned Deep Convolutional Model in Classifying and Detecting Malaria Parasites from Blood Smears.
KSII Trans. Internet Inf. Syst., 2021
Diagnosing Covid-19 chest x-rays with a lightweight truncated DenseNet with partial layer freezing and feature fusion.
Biomed. Signal Process. Control., 2021
2020
A Computer-Aided Diagnosis of Brain Tumors Using a Fine-Tuned YOLO-based Model with Transfer Learning.
KSII Trans. Internet Inf. Syst., 2020
2019
Classification of Fish Species with Augmented Data using Deep Convolutional Neural Network.
Proceedings of the 9th IEEE International Conference on System Engineering and Technology, 2019
Proceedings of the 9th IEEE International Conference on System Engineering and Technology, 2019