Comparative Analysis of Ensemble Learning Methods in Classifying Network Intrusions. - Francis Jesmar P. Montalbo; Enrique D. Festijo (ICSET, 2019)

Classification of Fish Species with Augmented Data using Deep Convolutional Neural Network. - Francis Jesmar P. Montalbo; Alexander A. Hernandez (ICSET, 2019)

A Computer-Aided Diagnosis of Brain Tumors Using a Fine-Tuned YOLO-based Model with Transfer Learning. - Francis Jesmar P. Montalbo (KSII Trans. Internet Inf. Syst., 2020)

Diagnosing Covid-19 chest x-rays with a lightweight truncated DenseNet with partial layer freezing and feature fusion. - Francis Jesmar P. Montalbo (Biomed. Signal Process. Control., 2021)

Empirical Analysis of a Fine-Tuned Deep Convolutional Model in Classifying and Detecting Malaria Parasites from Blood Smears. - Francis Jesmar P. Montalbo; Alvin S. Alon (KSII Trans. Internet Inf. Syst., 2021)

Diagnosing gastrointestinal diseases from endoscopy images through a multi-fused CNN with auxiliary layers, alpha dropouts, and a fusion residual block. - Francis Jesmar P. Montalbo (Biomed. Signal Process. Control., 2022)

Truncating fined-tuned vision-based models to lightweight deployable diagnostic tools for SARS-CoV-2 infected chest X-rays and CT-scans. - Francis Jesmar P. Montalbo (Multim. Tools Appl., 2022)

Automated diagnosis of diverse coffee leaf images through a stage-wise aggregated triple deep convolutional neural network. - Francis Jesmar P. Montalbo (Mach. Vis. Appl., 2022)

Performance Analysis of Lightweight Vision Transformers and Deep Convolutional Neural Networks in Detecting Brain Tumors in MRI Scans: An Empirical Approach. - Francis Jesmar P. Montalbo; Lovely Rose T. Hernandez; Lanie P. Palad; Ria C. Castillo; Alvin S. Alon; Anton Louise P. De Ocampo (ICBSP, 2023)

Machine-based mosquito taxonomy with a lightweight network-fused efficient dual ConvNet with residual learning and Knowledge Distillation. - Francis Jesmar P. Montalbo (Appl. Soft Comput., 2023)

S3AR U-Net: A separable squeezed similarity attention-gated residual U-Net for glottis segmentation. - Francis Jesmar P. Montalbo (Biomed. Signal Process. Control., 2024)

TUMbRAIN: A transformer with a unified mobile residual attention inverted network for diagnosing brain tumors from magnetic resonance scans. - Francis Jesmar P. Montalbo (Neurocomputing, 2025)

DySARNet: a lightweight self-attention deep learning model for diagnosing dysarthria from speech recordings. - Francis Jesmar P. Montalbo (Multim. Tools Appl., 2025)