Ma. Sheila A. Magboo

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 9

Top Topics

Machine Learning

Nearest Neighbor

Feature Importance

Bayes Classifiers

Top Venues

Publications

Ma. Sheila A. Magboo, Andrei D. Coronel
Effects of Cropping vs Resizing on the Performance of Brain Tumor Segmentation Models. CITS (2024)
Dea Louisa B. Magsino, Russel Lenard O. Mercado, Francesca Nicole F. Rivera, Ma. Sheila A. Magboo, Vincent Peter C. Magboo
Enhancing Monkeypox Detection: A Machine Learning Approach to Symptom Analysis and Disease Prediction. AIAI (1) (2024)
Vincent Peter C. Magboo, Ma. Sheila A. Magboo, Paul Matthew D. Pasco
Characterizing X-Linked Dystonia Parkinsonism Using Clustering Techniques in Data Science. KES (2023)
Vincent Peter C. Magboo, Ma. Sheila A. Magboo
Important Features Associated with Depression Prediction and Explainable AI. WIS (2022)
Vincent Peter C. Magboo, Ma. Sheila A. Magboo
Prediction of Late Intrauterine Growth Restriction using Machine Learning Models. KES (2022)
Ma. Sheila A. Magboo, Vincent Peter C. Magboo
Feature Importance Measures as Explanation for Classification Applied to Hospital Readmission Prediction. KES (2022)
Vincent Peter C. Magboo, Ma. Sheila A. Magboo
Machine Learning Classifiers on Breast Cancer Recurrences. KES (2021)
Vincent Peter C. Magboo, Ma. Sheila A. Magboo
Classification Models for Autism Spectrum Disorder. ICAIDS (2021)
Kyra Mikaela M. Lopez, Ma. Sheila A. Magboo
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 (2020)
Ma. Sheila A. Magboo, Vincent Peter C. Magboo
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. 2 (2003)