We congratulate Alfonso Luis R. Agahan, Professor Vincent Peter C. Magboo, and Associate Professor Ma. Sheila A. Magboo of the Department of Physical Sciences and Mathematics (DPSM) on the publication of their research entitled, “Predicting the Risk of Diabetes Using Explainable Artificial Intelligence” in the Proceedings of the 2023 International Conference on Electrical, Computer and […]
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Apr
03
PUBLISHED: “X-Linked Dystonia Parkinsonism Classification using Supervised Machine Learning” by Dr. Magboo & Assoc. Prof. Magboo
We congratulate Professor Vincent Peter C. Magboo and Associate Professor Ma. Sheila A. Magboo of the Department of Physical Sciences and Mathematics (DPSM) and their colleague on the publication of their research work entitled “X-Linked Dystonia Parkinsonism Classification using Supervised Machine Learning” in the Proceedings of the 2023 International Conference on Innovation and Intelligence for […]
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Mar
29
PUBLISHED: “Classification of Alzheimer’s Disease from Cranial MRI Images Using Transfer Learning” by Ella, Dr. Magboo & Assoc. Prof. Magboo
Congratulations to Christian Immanuel C. Ella, Professor Vincent Peter C. Magboo, and Associate Professor Ma. Sheila A. Magboo of the Department of Physical Sciences and Mathematics (DPSM) on the publication of their research entitled “Classification of Alzheimer’s Disease from Cranial MRI Images Using Transfer Learning ” in the Proceedings of the 2023 IEEE International Conference […]
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Mar
29
PUBLISHED: “Anterior Cruciate Ligament Injury Classification from MRI Scans Using Deep Learning” by Tuazon, Dr. Magboo & Assoc. Prof. Magboo
Congratulations to Karlos Lorenzo S. Tuazon, Professor Vincent Peter C. Magboo, and Associate Professor Ma. Sheila A. Magboo of the Department of Physical Sciences and Mathematics (DPSM) on the publication of their research entitled “Anterior Cruciate Ligament Injury Classification from MRI Scans Using Deep Learning” in the Proceedings of the 2023 IEEE International Conference on […]
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Mar
27
PUBLISHED: “What explains the high island endemicity of Philippine Rafflesia? A species distribution modelling analysis of three threatened parasitic plant species and their hosts” by Dr. Obico, co-workers
We would like to congratulate Associate Professor Jasper John Obico, faculty and Chair of the Department of Biology, and his co-workers on the publication of their research work! Their collaborative work entitled “What explains the high island endemicity of Philippine Rafflesia? A species distribution modeling analysis of three threatened parasitic plant species and their […]
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Mar
27
PUBLISHED: “Glaucoma Classification Using Deep Learning” by Dr. Magboo & Assoc. Prof. Magboo
Congratulations to Professor Vincent Peter C. Magboo and Associate Professor Ma. Sheila A. Magboo of the Department of Physical Sciences and Mathematics (DPSM) on the publication of their research entitled “Glaucoma Classification Using Deep Learning” in the Proceedings of the 6th International Conference of Computer and Informatics Engineering (IC2IE). We are very proud of your […]
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