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Reviewing Diagnosis Solutions for Valid Product Configurations in the Automated Analysis of Feature Models
(2019)
A Feature Model (FM) is an information model to represent commonalities and variabilities for all the products of a Software Product Line (SPL). The complexity and big size of real feature models makes their manual analysis ...
Evidence on Common Features and Business Cycle Synchronization in MercosurEvidence on Common Features and Business Cycle Synchronization in Mercosur
(Sociedade Brasileira de Econometria, 2009)
Robust lane marking detection based on multi-feature fusion
(07/06/2016)
In the field of intelligent vehicle systems (IVS), color and edge of lane markings are important features for vision-based applications. This paper proposes a method to detect lane marking based on a fusion approach which ...
Machine Learning for Web Intrusion Detection: A Comparative Analysis of Feature Selection Methods mRMR and PFI
(2020-01-01)
Select from the best features in a complex dataset that is a critical task for machine learning algorithms. This work presents a comparative analysis between two resource selection techniques: Minimum Redundancy Maximum ...
Sentiment Analysis on IMDb Movie Reviews Using Hybrid Feature Extraction Method
Social Networking sites have become popular and common places for sharing wide range of emotions through short texts. These emotions include happiness, sadness, anxiety, fear, etc. Analyzing short texts helps in identifying ...
Automatic Feature Scaling and Selection for Support Vector Machine Classi cation with Functional Data
(Springer, 2020)
Functional Data Analysis (FDA) has become a very important eld
in recent years due to its wide range of applications. However, there are several
real-life applications in which hybrid functional data appear, i.e., data ...
Audio-Visual Automatic Speech Recognition Using PZM, MFCC and Statistical Analysis
Audio-Visual Automatic Speech Recognition (AV-ASR) has become the most promising research area when the audio signal gets corrupted by noise. The main objective of this paper is to select the important and discriminative ...
Feature Selection with Hybrid Bio-inspired Approach for Classifying Multi-idiom Social Media Sentiment Analysis
(Scitepress, 2022-01-01)
Social media sentiment analysis consists on extracting information from users' comments. It can assist the decision-making process of companies, aid public health and security and even identify intentions and opinions about ...