Search Results - "Inbaraj, X. Alphonse"
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Twitter Sentiment Analysis towards COVID-19 Vaccines in the Philippines Using Naïve Bayes
Published in Information (Basel) (01-05-2021)“…A year into the COVID-19 pandemic and one of the longest recorded lockdowns in the world, the Philippines received its first delivery of COVID-19 vaccines on 1…”
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Journal Article -
2
A Semi-Supervised Machine Learning Approach in Predicting High-Risk Pregnancies in the Philippines
Published in Diagnostics (Basel) (01-11-2022)“…Early risk tagging is crucial in maternal health, especially because it threatens both the mother and the long-term development of the baby. By tagging…”
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Journal Article -
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A Semi-Supervised Approach to Sentiment Analysis of Tweets during the 2022 Philippine Presidential Election
Published in Information (Basel) (01-10-2022)“…With the increasing popularity of Twitter as both a social media platform and a data source for companies, decision makers, advertisers, and even researchers…”
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Journal Article -
4
Mask-GradCAM: Object Identification and Localization of Visual Presentation for Deep Convolutional Network
Published in 2021 6th International Conference on Inventive Computation Technologies (ICICT) (20-01-2021)“…This paper presents the conceptually simple, flexible and more suitable framework to demonstrate object localization and object recognition by Mask RCNN along…”
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Conference Proceeding -
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Hybrid Clustering Algorithms for Crime Pattern Analysis
Published in 2018 International Conference on Current Trends towards Converging Technologies (ICCTCT) (01-03-2018)“…Data mining can be used to model crime detection problems. Crimes are a social nuisance and cost our society dearly in several ways. Any research that can help…”
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Conference Proceeding -
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A Combined Clustering Method of Suppressed Expectation and Maxi PCA Clustering for Intrusion Detection
Published in 2020 International Conference on Inventive Computation Technologies (ICICT) (01-02-2020)“…Intrusion detection plays an important role in the field of Information Technology concerned with security. Traditional intrusion detection methods depends on…”
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Conference Proceeding