ERDAP: A Novel Method of Event Relation Data Augmentation Based on Relation Prediction

Ruijuan Hu,Haiyan Liu,Wentao Yu

#Relation prediction #event relation #data augmentation #graph convolutional networks #causality extraction

Cohesive Pair-Wises Constrained Deep Embedding for Semi-Supervised Clustering with Very Few Labeled Samples*

Jing Zhang,Guiyan Wei,Yonggong Ren

#Semi-supervised learning #clustering #auto-encoder network #pair-wise

An Unsupervised Feed Forward Neural Network Method for Efficient Clustering

Roya Asadi,Mitra Asadi,Shokoofeh Asadi

#Artificial neural network #feed forward neural network #unsupervised learning #clustering #real weight

Retina Disorders Classification via OCT Scan: A Comparative Study between Self-Supervised Learning and Transfer Learning

Saeed Shurrab,Yazan Shannak,Rehab Duwairi

#OCT images #retina disorders #self-supervised learning #transfer learning #resnet34

Development of a Hindi Named Entity Recognition System without Using Manually Annotated

Abstract: Machine learning based approach for Named Entity Recognition (NER) requires sufficient annotated corpus to

#Natural language processing # machine learning # named entity recognition # resource scarcity # language transfer # semi-supervised learning

Modified Binary Bat Algorithm for Feature Selection in Unsupervised Learning

Abstract: Feature selection is the process of selecting a subset of optimal features by removing redundant and irrelevant

#Feature selection # unsupervised learning # binary bat algorithm # mutation

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

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

FAAD: A Self-Optimizing Algorithm for Anomaly Detection

Adeel Hashmi and Tanvir Ahmad

#Anomaly detection # outliers # firefly algorithm # big data # parallel algorithms and apache spark

Empirical Evaluation of Leveraging Named Entities for Arabic Sentiment Analysis

Hala Mulki1, Hatem Haddad2, Mourad Gridach3, and Ismail Babaoğlu1 1Computer Engineering Department, Konya Technical University, Turkey 2Computer Science Department, University of Manouba, Tunisia 3Computational Bioscience Departments, University of Colorado Boulder, USA

#Named entity recognition # Arabic sentiment analysis # supervised learning method # lexicon-based method

A Rule-Induction Approach for Building an Arabic Language Interfaces to Databases

Hanane Bais,Mustapha Machkour

#Rule-induction #databases #machine learning #intelligent interfaces #arabic language processing

The Critical Feature Selection Approach using Ensemble Meta-Based Models to Predict Academic Performances

Muhammad Qasim Memon,Yu Lu,Shengquan Yu,Aasma Memon,Abdul Rehman Memon

#Educational data mining #students' prediction #machine learning #ensemble meta-based models #feature selection

Random Walk Generation and Classification Within an Online Learning Platform

Afrah Mousa,Thorsten Auth,Anas Samara,Suhail Odeh

#Random walk #machine learning #experiential learning