Ma. Sheila A. Magboo

According to our database, Ma. Sheila A. Magboo authored at least 11 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Enhancing Monkeypox Detection: A Machine Learning Approach to Symptom Analysis and Disease Prediction.

Dea Louisa B. Magsino, Russel Lenard O. Mercado, Francesca Nicole F. Rivera, Ma. Sheila A. Magboo, Vincent Peter C. Magboo

Proceedings of the Artificial Intelligence Applications and Innovations, 2024

Effects of Cropping vs Resizing on the Performance of Brain Tumor Segmentation Models.

Ma. Sheila A. Magboo, Andrei D. Coronel

Proceedings of the International Conference on Computer, 2024

2023

Characterizing X-Linked Dystonia Parkinsonism Using Clustering Techniques in Data Science.

Vincent Peter C. Magboo, Ma. Sheila A. Magboo, Paul Matthew D. Pasco

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

2022

Important Features Associated with Depression Prediction and Explainable AI.

Vincent Peter C. Magboo, Ma. Sheila A. Magboo

Proceedings of the Well-Being in the Information Society: When the Mind Breaks, 2022

Prediction of Late Intrauterine Growth Restriction using Machine Learning Models.

Vincent Peter C. Magboo, Ma. Sheila A. Magboo

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

Feature Importance Measures as Explanation for Classification Applied to Hospital Readmission Prediction.

Ma. Sheila A. Magboo, Vincent Peter C. Magboo

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

2021

Machine Learning Classifiers on Breast Cancer Recurrences.

Vincent Peter C. Magboo, Ma. Sheila A. Magboo

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

Classification Models for Autism Spectrum Disorder.

Vincent Peter C. Magboo, Ma. Sheila A. Magboo

Proceedings of the Artificial Intelligence and Data Science, 2021

Imputation Techniques and Recursive Feature Elimination in Machine Learning Applied to Type II Diabetes Classification.

Vincent Peter Catimbang Magboo, Ma. Sheila Abad Magboo

Proceedings of the AICCC 2021: 4th Artificial Intelligence and Cloud Computing Conference, Kyoto, Japan, December 17, 2021

2020

A Clinical Decision Support Tool to Detect Invasive Ductal Carcinoma in Histopathological Images Using Support Vector Machines, Naïve-Bayes, and K-Nearest Neighbor Classifiers.

Kyra Mikaela M. Lopez, Ma. Sheila A. Magboo

Proceedings of the Machine Learning and Artificial Intelligence, 2020

2003

Assignment of Real-World Projects: An Economical Method of Building Applications for a University and an Effective Way to Enhance Education of the Students.

Ma. Sheila A. Magboo, Vincent Peter C. Magboo

J. Inf. Technol. Educ., 2003