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Christian V. Maderazo

Maderazo, Christian V.

Assistant Professor

cvmaderazo@usc.edu.ph

Degrees

B.S. Computer Engineering, University of San Carlos, 1996
Master in Engineering, University of San Carlos, 2008

Research Interests:

Web programming, machine learning, networking, systems administration

List of publications:

  1. Ouano, L.A.E.; Detablan, P.F.M.; Maderazo, C.V.. Explainable Rice Disease Detection Via Swin Transformer and Large Language Model Powered Visual-Textual Interpretation. Asig 2025 Proceedings of the 3rd Asia Symposium on Image and Graphics. 2026, https://doi.org/10.1145/3789410.3789416.
  2. Catanpatan, W.Y.; Aballe, Z.; Maderazo, C.V.. Promoting Interpretability in Image Captioning Through Attribution Segmentation Alignment. Conference Proceedings 2026 International Conference on Multi Scale Artificial Intelligence Drive Innovation Multi Scale AI Mai 2026. 2026, https://doi.org/10.1109/MAI69289.2026.11543767.
  3. Villagomez, J.M.D.; Montecillo, M.B.D.; Maderazo, C.. An Explainable Hybrid CNN-ViT Model for Detecting Leaf Diseases: A Dual-Interpretability Approach Using Heatmaps and SHAP on Coconut, Banana, and Sugarcane. Conference Proceedings 2026 International Conference on Multi Scale Artificial Intelligence Drive Innovation Multi Scale AI Mai 2026. 2026, https://doi.org/10.1109/MAI69289.2026.11544025.
  4. Delgado, N.L.A.; Sy, Z.D.R.; Maderazo, C.V.. Multimodal Data Fusion and Ensemble Learning for Objective Attention-Deficit/Hyperactivity Disorder (ADHD) Assessment. 2026 International Conference on Emerging Smart Computing and Informatics Esci 2026. 2026, https://doi.org/10.1109/ESCI68015.2026.11493265.
  5. Bacus, J.V.; Lindsay, C.M.; Maderazo, C.; Ompad, G.. Detecting Diseases in Corn through Convolutional Neural Network Architectures and Ensemble. ACM International Conference Proceeding Series. 2025, https://doi.org/10.1145/3719384.3719409.
  6. Elderfield, Z.D.; Demeterio, S.S.; Adriatico, I.J.; Ompad, G.D.; Maderazo, C.V.. Deep Learning-Based Modeling of Marine Heatwave Events: Identifying Key Exogenous Drivers and Enhancing Predictive Accuracy. IEEE Asia Pacific Conference on Geoscience Electronics and Remote Sensing Technology Agers. 2025, https://doi.org/10.1109/AGERS67633.2025.11446353.
  7. Israel, M.E.U.; Quibranza, C.R.S.; Maderazo, C.V.. Smart Mobile Application For Automated Detection of Skin Diseases and Disorders Using An Ensemble of YOLOV8, YOLO-NAS, and EFFICIENTDET Models. 2025 Asian Conference on Communication and Networks Asiancomnet 2025. 2025, https://doi.org/10.1109/ASIANComNet68615.2025.11579667.
  8. Barcenilla, J.A.G.; Maderazo, C.V.. Identifying Common Pest and Disease of Lettuce Plants Using Convolutional Neural Network. 2023 2nd International Conference on Futuristic Technologies Incoft 2023. 2023, https://doi.org/10.1109/INCOFT60753.2023.10424991.
  9. Rosales, J.A.; Samson, J.G.; Maderazo, C.. Motor Vehicle Crash Detection Using Yolov8 Algorithm. Proceeding Comnetsat 2023 IEEE International Conference on Communication Networks and Satellite. 2023, https://doi.org/10.1109/COMNETSAT59769.2023.10420786.
  10. Son, J.V.G.; Suan, J.R.L.; Maderazo, C.V.. Mask Detection System Using Convolutional Neural Network and K-Nearest Neighbor Algorithm. Proceedings Icmeralda 2023 International Conference on Modeling and E Information Research Artificial Learning and Digital Applications. 2023, https://doi.org/10.1109/ICMERALDA60125.2023.10458184.
  11. Buhawe, M.A.A.; Rejuso, A.L.M.; Maderazo, C.. Maturity Grading and Macronutrient Deficiency Identification to Assist Tomato Growth in a Wick Hydroponic System Using an Xception-Based Convolutional Neural Network. Proceedings of the 2022 IEEE 7th International Conference on Information Technology and Digital Applications Icitda 2022. 2022, https://doi.org/10.1109/ICITDA55840.2022.9971354.
  12. Holaysan, S.A.K.; Aldana, I.; Maderazo, C.V.. Artificial Light Augmentation In Urban Farming Based On Mask Rcnn For Determination Of Lettuce Light Conditions. Proceedings of the 2022 IEEE 7th International Conference on Information Technology and Digital Applications Icitda 2022. 2022, https://doi.org/10.1109/ICITDA55840.2022.9971362.
  13. Janea, C.; Alcisto, B.L.; Maderazo, C.. A decision support system with 3D visualization for box space optimization using the locust-based particle swarm optimization algorithm. Iop Conference Series Materials Science and Engineering. 2019, https://doi.org/10.1088/1757-899X/482/1/012048.
  14. Mesina, J.; Isanan, J.; Maderazo, C.. Poverty incidence identification of cities and municipalities using convolutional Neural Network as applied to satellite imagery. Iop Conference Series Materials Science and Engineering. 2019, https://doi.org/10.1088/1757-899X/482/1/012044.
  15. Tan, K.R.; Villarino, M.L.; Maderazo, C.. Automatic music mood recognition using Russell's twodimensional valence-arousal space from audio and lyrical data as classified using SVM and Naïve Bayes. Iop Conference Series Materials Science and Engineering. 2019, https://doi.org/10.1088/1757-899X/482/1/012019.
  16. Gaid, J.M.; Lim, R.M.; Maderazo, C.. Development of a Cebuano Parse Tree for a Grammar Correction Tool Using Deep Parsing. Proceedings 2018 Conference on Technologies and Applications of Artificial Intelligence Taai 2018. 2018, https://doi.org/10.1109/TAAI.2018.00042.
  17. Gorro, K.D.; Sabellano, M.J.G.; Gorro, K.; Maderazo, C.; Capao, K.. Classification of Cyberbullying in Facebook Using Selenium and SVM. 2018 3rd International Conference on Computer and Communication Systems Icccs 2018. 2018, https://doi.org/10.1109/CCOMS.2018.8463326.
  18. Gorro, K.D.; Sabellano, M.J.G.; Maderazo, C.V.; Ceniza, A.M.; Gorro, K.. Exploring facebook for sharing crime experiences using selenium and support vector machine. ACM International Conference Proceeding Series. 2017, https://doi.org/10.1145/3176653.3176692.
  19. Payusan, G.M.B.; Maderazo, C.V.; Ceniza, A.M.. A decision support system in facilitating properties for rent using analytic hierarchy process and goal programming. Far East Journal of Electronics and Communications. 2016, https://doi.org/10.17654/ECSV216001.

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