Vincent Peter C. Magboo

According to our database, Vincent Peter C. Magboo authored at least 17 papers between 2003 and 2025.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of six.

2025

Evaluation of Different Batch Sizes in Convolutional Neural Network Models for Sugarcane Leaf Disease Classification.

Vincent Peter C. Magboo, May Ann Grace P. Palisoc, Ma. Sheila A. Magboo

Proceedings of the Novel and Intelligent Digital Systems: Proceedings of the 5th International Conference, 2025

Preoperative Features-based Machine Learning Models with XAI for Improved Pancreatic Cancer Survival Prediction.

Erica Mae V. Antonino, Mikaella Louise D. Layug, Giancarlo Gabriel T. Trani, Ma. Sheila A. Magboo, Vincent Peter C. Magboo

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 29th International Conference KES-2025, 2025

Seafood Quality Assessment with Explainable Artificial Intelligence.

Francesca Maries P. Buguis, Marie Ashley C. Ordoñez, Geraldine Audrey V. Uganiza, Jonalyn S. Villanueva, Ma. Sheila A. Magboo, Vincent Peter C. Magboo

Proceedings of the 2025 5th International Conference on Electrical, 2025

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

2023

Analysis of Batch Size in the Assessment of Bone Metastasis from Bone Scans in Various Convolutional Neural Networks.

Vincent Peter C. Magboo, Patricia Angela R. Abu

Proceedings of the Agents and Multi-agent Systems: Technologies and Applications 2023, 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

Batch Size Selection in Convolutional Neural Networks for Glaucoma Classification.

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

Proceedings of the International Conference on Machine Learning and Data Engineering, 2023

Predicting the Risk of Diabetes Using Explainable Artificial Intelligence.

Alfonso Luis R. Agahan, Ma. Sheila A. Magboo, Vincent Peter C. Magboo

Proceedings of the International Conference on Electrical, 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

Explainable AI for Autism Classification in Children.

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

Proceedings of the Agents and Multi-Agent Systems: Technologies and Applications 2022, 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

Deep Neural Network for Diagnosis of Bone Metastasis.

Vincent Peter C. Magboo, Patricia Angela R. Abu

Proceedings of the ICSIM 2022: The 5th International Conference on Software Engineering and Information Management, Yokohama, Japan, January 21, 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

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