Optimizing Machine Learning-based Sentiment Analysis Accuracy in Bilingual Sentences via Preprocessing Techniques

Mohammed Maree,Mujahed Eleyat,Enas Mesqali

#Machine learning #bilingual sentiment analysis #NLP #sentiment datasets

Optimizing Machine Learning-based Sentiment Analysis Accuracy in Bilingual Sentences via Preprocessing Techniques

Mohammed Maree,Mujahed Eleyat,Enas Mesqali

#Machine learning #bilingual sentiment analysis #NLP #sentiment datasets

Kernel Logistic Regression Algorithm for Large Scale Data Classification

classification problems. However, it is often not f ound in large+scale data classification problems an d this is mainly because it

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# Fuzzy apriori # feature selection # particle swarm # credit scoring

Multiple-View Face Hallucination by a Novel Regression Analysis in Tensor Space

Abstract:In this paper, the novel multiple-view face hallucination method was proposed. This method is reconstructed the

#Facehallucination # tensor regression #multiple views # super-resolution

Test Case PrioritizationforRegression Testing Using Immune Operator

Abstract:Regressiontesting is a time consuming, costly process of re-running existing test cases.Assoftware evolves, the

#Immuneoperator # vaccine # test case prioritization # regression testing #GA #IPA

93

Abdullah Aljumah and Mohammad Siddiqui

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2009

Mohamed Ben Messaoud, Besma Khelil, and Abdennaceur Kachouri

#ECG # P wave detection # correlation # regression # diagnosis

# Chaotic optimization # GA # CGA # SVR # volatility

An Empirical Study to Evaluate the Relationship of Object-Oriented Metrics and Change Proneness

Abstract: Software maintenance deals with changes or modifications which software goes through. Change prediction models

#Change proneness # empirical validation # machine learning # object-oriented and software quality

Bilateral Multi-Issue Negotiation Model for a Kind

1College of Computer Science and Electronic Engineering, Hunan University, China 2The Second Hospital, University of South China, China 3Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, China

#Multi-issue negotiation; jaussian process regression; dynamic risk strategy; concession strategy

Performance Analysis of FCM Based ANFIS and

Praynlin Edinson1 and Latha Muthuraj2

#Software development # cost # effort estimation # process planning # ANFIS

Applications of Logistic Regression and Artificial Neural Network for ICSI Prediction

Zeinab Abbas1, Ali Saad1, Mohammad Ayache1, and Chadi Fakih2 1Department of Biomedical Engineering, Islamic University of Lebanon, Lebanon 2Department of medicine, Lebanese University and Saint Joseph University, Lebanon

#Artificial Neural Network (ANN) # Assisted Reproductive Treatment (ART) # In-Vitro Fertilization (IVF) # ICSI # logistic regression

#(TLP) framework # manual testing # effort reduction # test optimization

A Concept-based Sentiment Analysis Approach for Arabic

Ahmed Nasser1 and Hayri Sever2 1Control and Systems Engineering Department, University of Technology, Iraq 2Department of Computer Engineering, Çankaya University, Etimesgut

#Arabic Sentiment Analysis # Concept-based Sentiment Analysis # Machine Learning and Ensemble Learning

A Novel Feature Selection Method Based on Maximum Likelihood Logistic Regression for

Imbalanced Learning in Software Defect Prediction

#Software defect prediction· Machine learning· Class imbalance· Maximum-likelihood logistic regression

Gene Expression Prediction Using Deep Neural Networks

Raju Bhukya and Achyuth Ashok

#Gene expression # regression # deep learning # autoencoder # multilayer perceptron

A New Metric for Class Cohesion for Object Oriented Software

Anjana Gosain1 and Ganga Sharma2

#Class cohesion # metrics # OO software # maintenance-effort # metric validation

An Ensemble-based Supervised Machine Learning Framework for Android Ransomware Detection

Shweta Sharma1, Rama Krishna Challa1, and Rakesh Kumar2

#Smartphone security # android # ensemble learning # ransomware # and dimensionality reduction

An Additive Sparse Logistic Regularization Method for Cancer Classification in Microarray Data

Vijay Suresh Gollamandala,Lavanya Kampa

#Microarray data #sparse regularization #feature selection #logistic regression #and lasso