Search Results for author:
Found 9 papers, 0 papers with code
Improved Sampling Techniques for Learning an Imbalanced Data Set
The results using F-measure showed that for the data without a sampling technique, the classifier's performance is good only for the majority class.
On Gobbledygook and Mood of the Philippine Senate: An Exploratory Study on the Readability and Sentiment of Selected Philippine Senators' Microposts
This paper presents the findings of a readability assessment and sentiment analysis of selected six Philippine senators' microposts over the popular Twitter microblog.
The Interactive Effects of Operators and Parameters to GA Performance Under Different Problem Sizes
The complex effect of genetic algorithm's (GA) operators and parameters to its performance has been studied extensively by researchers in the past but none studied their interactive effects while the GA is under different problem sizes.
A Neural Prototype for a Virtual Chemical Spectrophotometer
Test result shows that the dual NNM has correlation coefficients that range from 0. 9050 through 0. 9980 at 356 nm through 578 nm with the maximum coefficient observed at 480 nm.
Capturing the Dynamics of Pedestrian Traffic Using a Machine Vision System
We developed a machine vision system to automatically capture the dynamics of pedestrians under four different traffic scenarios.
Neural Network Classifiers for Natural Food Products
Two cheap, off-the-shelf machine vision systems (MVS), each using an artificial neural network (ANN) as classifier, were developed, improved and evaluated to automate the classification of tomato ripeness and acceptability of eggs, respectively.
Artificial Catalytic Reactions in 2D for Combinatorial Optimization
The artificial environment is governed by catalytic reactions that can alter the structure of artificial molecular elements.
Simultaneously Solving Computational Problems Using an Artificial Chemical Reactor
The reactor is a distributed stochastic algorithm that simulates a chemical universe wherein the molecular species are being represented either by a human genomic contig panel, a Hamiltonian cycle, or an aircraft landing schedule.
Unshredding of Shredded Documents: Computational Framework and Implementation
A shredded document $D$ is a document whose pages have been cut into strips for the purpose of destroying private, confidential, or sensitive information $I$ contained in $D$.
