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

RoboGuard: Enhancing Robotic System Security with Ensemble Learning

Ali Al Maqousi,Mohammad Alauthman

#Robotic systems #cybersecurity #malware detection #machine learning #ensemble learning #synthetic minority over-sampling technique

Phishing Detection using RDF and Random Forests Vamsee Muppavarapu, Archanaa Rajendran, and Shriram Vasudevan

cloned and victims are lured to the fake website to provide their personal as well as confidential information, sometimes it

#Phishing # ensemble learning # RDF models # phishing target # metadata # vocabulary # random forests

Using Deep Learning for Automatically Determining Correct Application of Basic Quranic

Jordan University of Science and Technology, Jordan

#Articulation rules (Ahkam Al-Tajweed) # Mel-Frequency Cepstral Coefficient (MFCC) # Linear predictive Code (LPC) # Wavelet Packet Decomposition (WPD) # Hidden Markov Model based Spectral Peak Location (HMM-SPL) # Convolutional Deep Belief Network (CDBN); k-Nearest Neighbors (KNN); Support Vector Machines (SVM); Artificial Neural Network (NN) # Random Forest (RF) # multiclass classifier # bagging; t-Test

Dynamic Random Forest for the Recognition of Arabic Handwritten Mathematical Symbols with A

Laboratory of Advanced Technology and Intelligent Systems, University of Sousse, Tunisia

#Arabic handwritten mathematical symbols recognition # SH # HOG # CCH # dynamic RF

Assessment of Ensemble Classifiers Using the Bagging

Hassan Mohamed1, Abdelazim Negm1, Mohamed Zahran2, and Oliver Saavedra3 1Department of Environmental Engineering, Egypt-Japan University of Science and Technology, Egypt 2Department of Geomatics Engineering, Benha University, Egypt 3Department of Civil Engineering, Tokyo Institute of Technology, Japan

#Bagging; classification; ensemble; landsat satellite magery

Recognition of Spoken Bengali Numerals Using

Avisek Gupta and Kamal Sarkar

#Speech recognition # isolated digits # principal component analysis # support vector machines # multi-layered perceptrons # random forests

Towards Achieving Optimal Performance using Stacked Generalization Algorithm: A Case Study of

Clinical Diagnosis of Malaria Fever

#Data mining # ensemble learning # stacked generalization # malaria # diagnosis

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

Default Prediction Model: The Significant Role of

Data Engineering in the Quality of Outcomes

#Default Prediction # Classification # Pre-processing # Prediction # Features Selection # Generic Algorithm # PSO Algorithm # Naïve Bayes # Decision Tree # SVM # Random Forest # Banking # Risk Management

Enhanced Bagging (eBagging): A Novel Approach for Ensemble Learning

Goksu Tuysuzoglu1 and Derya Birant2 1Graduate School of Natural and Applied Sciences, Dokuz Eylul University, Turkey 2Department of Computer Engineering, Dokuz Eylul University, Turkey

#Bagging # boosting # classification algorithms # machine learning # random forest # supervised learning

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

Machine Learning in OpenFlow Network: Comparative Analysis of DDoS Detection Techniques

Arun Kumar Singh

#Support vector machine #software defined network #machine learning #distributed Dos #detection

Support Vector Machine with Information Gain Based Classification for Credit Card Fraud Detection System

Kannan Poongodi,Dhananjay Kumar

#Apriori algorithm #credit card fraud detection #information gain #support vector machine

Ensemble Voting based Intrusion Detection Technique using Negative Selection Algorithm

Kuldeep Singh,Lakhwinder Kaur,Raman Maini

#Artificial immune system #security #negative selection algorithm #anomaly detection

A Genetic Algorithm based Domain Adaptation Framework for Classification of Disaster Topic Text Tweets

Lokabhiram Dwarakanath,Amirrudin Kamsin,Liyana Shuib

#Crisis informatics #disaster management #machine learning #domain adaptation approaches #social media #genetic algorithm

Heart Disease Classification for Early Diagnosis based on Adaptive Hoeffding Tree Algorithm in IoMT Data

Ersin Elbasi,Aymen I. Zreikat

#Internet of medical things #machine learning #medical data #random forest #internet of things #diagnosis #AHT

Machine Learning Model for Credit Card Fraud

Detection- A Comparative Analysis

#Machine learning # credit card fraud detection # random forest # accuracy # neural network # SVM

Gabor and Maximum Response Filters with Random Forest Classifier for Face Recognition in

the Wild

#Face recognition # labelled faces in the wild # unconstrained facial images