Ma. Sheila A. Magboo

18 papers B 5Journal 1Unranked 12
YearRankTypeTitle / Venue / Authors
2025 — conf
A Machine Learning Web Application for Predicting the Risk of Diabetes Using Explainable Artificial Intelligence (XAI) on Philippine Data.
NiDS (3)
Francesca Nicole F. Rivera, Ma. Sheila A. Magboo, Perlita Gasmen, Marc Jermaine Pontiveros, Geoffrey A. Solano
2025 — conf
Evaluation of Different Batch Sizes in Convolutional Neural Network Models for Sugarcane Leaf Disease Classification.
NiDS (3)
Vincent Peter C. Magboo, May Ann Grace P. Palisoc, Ma. Sheila A. Magboo
2025 — conf
Improving Postoperative Care in Zamboanga City Medical Center Through Digital Health: A System Development of the Home Care Program.
MedInfo
Jaime Kristoffer T. Punzalan, Valerie Jul N. Tobis, Augustus Clark Raphael P. Rodriguez, Marxel S. Abogado, Gabriel Angelo S. Balmaceda, James Angelo R. Dela Cruz, Emiel V. Magante, Jasper Anthony G. Perillo, Alyssa Nicole J. Surban, Jamilene Arianna L. Tan, Ma. Sheila A. Magboo
2025 B conf
Preoperative Features-based Machine Learning Models with XAI for Improved Pancreatic Cancer Survival Prediction.
KES
Erica Mae V. Antonino, Mikaella Louise D. Layug, Giancarlo Gabriel T. Trani, Ma. Sheila A. Magboo, Vincent Peter C. Magboo
2025 — conf
Seafood Quality Assessment with Explainable Artificial Intelligence.
ICECET
Francesca Maries P. Buguis, Marie Ashley C. Ordoñez, Geraldine Audrey V. Uganiza, Jonalyn S. Villanueva, Ma. Sheila A. Magboo, Vincent Peter C. Magboo
2024 — conf
Effects of Cropping vs Resizing on the Performance of Brain Tumor Segmentation Models.
CITS
Ma. Sheila A. Magboo, Andrei D. Coronel
2024 — conf
Enhancing Monkeypox Detection: A Machine Learning Approach to Symptom Analysis and Disease Prediction.
AIAI (1)
Dea Louisa B. Magsino, Russel Lenard O. Mercado, Francesca Nicole F. Rivera, Ma. Sheila A. Magboo, Vincent Peter C. Magboo
2023 — conf
Batch Size Selection in Convolutional Neural Networks for Glaucoma Classification.
ICMLDE
Vincent Peter C. Magboo, Ma. Sheila A. Magboo
2023 B conf
Characterizing X-Linked Dystonia Parkinsonism Using Clustering Techniques in Data Science.
KES
Vincent Peter C. Magboo, Ma. Sheila A. Magboo, Paul Matthew D. Pasco
2023 — conf
Predicting the Risk of Diabetes Using Explainable Artificial Intelligence.
ICECET
Alfonso Luis R. Agahan, Ma. Sheila A. Magboo, Vincent Peter C. Magboo
2022 — conf
Explainable AI for Autism Classification in Children.
KES-AMSTA
Ma. Sheila A. Magboo, Vincent Peter C. Magboo
2022 B conf
Feature Importance Measures as Explanation for Classification Applied to Hospital Readmission Prediction.
KES
Ma. Sheila A. Magboo, Vincent Peter C. Magboo
2022 — conf
Important Features Associated with Depression Prediction and Explainable AI.
WIS
Vincent Peter C. Magboo, Ma. Sheila A. Magboo
2022 B conf
Prediction of Late Intrauterine Growth Restriction using Machine Learning Models.
KES
Vincent Peter C. Magboo, Ma. Sheila A. Magboo
2021 — conf
Classification Models for Autism Spectrum Disorder.
ICAIDS
Vincent Peter C. Magboo, Ma. Sheila A. Magboo
2021 B conf
Machine Learning Classifiers on Breast Cancer Recurrences.
KES
Vincent Peter C. Magboo, Ma. Sheila A. Magboo
2020 — conf
A Clinical Decision Support Tool to Detect Invasive Ductal Carcinoma in Histopathological Images Using Support Vector Machines, Naïve-Bayes, and K-Nearest Neighbor Classifiers.
MLIS
Kyra Mikaela M. Lopez, Ma. Sheila A. Magboo
2003 J jnl
Assignment of Real-World Projects: An Economical Method of Building Applications for a University and an Effective Way to Enhance Education of the Students.
J. Inf. Technol. Educ.
Ma. Sheila A. Magboo, Vincent Peter C. Magboo